Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the...Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data,these models showcase remarkable efficacy across various tasks,including new drug design and drug target identification.The adaptability of pre-trained trans-former-based models renders them indispensable assets for driving data-centric advancements in drug discovery,chemistry,and biology,furnishing a robust framework that expedites innovation and dis-covery within these domains.Beyond their technical prowess,the success of transformer-based models in drug discovery,chemistry,and biology extends to their interdisciplinary potential,seamlessly combining biological,physical,chemical,and pharmacological insights to bridge gaps across diverse disciplines.This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields.In our review,we elucidate the myriad applications of transformers in drug discovery,as well as chemistry and biology,spanning from protein design and protein engineering,to molecular dynamics(MD),drug target iden-tification,transformer-enabled drug virtual screening(VS),drug lead optimization,drug addiction,small data set challenges,chemical and biological image analysis,chemical language understanding,and single cell data.Finally,we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.展开更多
Understanding the proton dynamic behavior in inorganic materials has long been a topic of intense fascination[1],especially in the field of electrochemical energy storage[2].One of the examples is the research of prot...Understanding the proton dynamic behavior in inorganic materials has long been a topic of intense fascination[1],especially in the field of electrochemical energy storage[2].One of the examples is the research of proton transport in transition metal oxides,which dates back to 1971[3]when RuO_(2) was discovered to be capable of storing protons via reversible redox reactions[4].In aqueous electrolytes,the thin film RuO_(2) electrode exhibits a surface pseudocapacitive behavior[5],which could be modified by the structural water in its hydrated form due to the facile Grotthuss hopping mode of protons along the established hydrogen bonds inside the bulk phase[6].Soon later,Goodenough et al.reported the capacitor-like behavior of amorphous MnO_(2)·xH_(2)O electrode in an aqueous KCl electrolyte[7],and further studies on the hydrated MnO_(2) electrodes prepared by sol-gel processes have soon discovered that the intercalation of protons from aqueous electrolytes plays an indispensable role in the charge storage mechanism[8].In recent years,the research interest on rechargeable aqueous batteries has fueled the renaissance of mechanistic study of proton transport in transition metal oxides[9],which can operate as cathodes or anodes via a topotactic insertion mechanism similar to that in Li-ion batteries[10].However,due to the challenges for experimental detection of local chemical environments of the inserted protons,a comprehensive understanding of proton dynamic behavior in these electrodes remains largely lacking.展开更多
In January 2025,the Beijing Chamber of Commerce(Singapore)was officially established.Coinciding with the 35th anniversary of China-Singapore diplomatic relations and the 60th anniversary of Singapore’s independence,i...In January 2025,the Beijing Chamber of Commerce(Singapore)was officially established.Coinciding with the 35th anniversary of China-Singapore diplomatic relations and the 60th anniversary of Singapore’s independence,its founding is part of a timely response to the growing needs of businesses and communities from both Beijing and Singapore to deepen mutual understanding and expand cooperation.As a Chinese person who has lived and worked in Singapore for many years,Feng Jianli,president of the Beijing Chamber of Commerce(Singapore),knows first-hand just how challenging it can be for new immigrants from Beijing to adapt to identity transitions and access local support.The chamber was founded not only to help them take root and thrive,but also to serve as a platform for deeper people-to-people exchange between Singapore and Beijing.展开更多
Fostering understanding between China and Africa through dialogue and exchanges Etienne Bankuwiha,a young sinologist from Burundi and a doctoral student at Nanjing University,received on the afternoon of 13 November t...Fostering understanding between China and Africa through dialogue and exchanges Etienne Bankuwiha,a young sinologist from Burundi and a doctoral student at Nanjing University,received on the afternoon of 13 November the message he had been eagerly awaiting-a reply from Chinese President Xi Jinping.展开更多
As an English traveler,diving into the heart of Chinese culture is like unlocking a world of rich experiences that offer a deeper understanding of the country and its people.Here is how,from my perspective,I have imme...As an English traveler,diving into the heart of Chinese culture is like unlocking a world of rich experiences that offer a deeper understanding of the country and its people.Here is how,from my perspective,I have immersed myself in various facets of Chinese culture.展开更多
1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our ...1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our lives and purify our souls.I enjoy reading and I love life.I enjoy reading Chinese classics such as the Four Great Classical Novels of Chinese literature.I explore the mythical and wonderful stories of demons and monsters in Journey to the West and experience the boldness of martial art heroes in Water Margin.展开更多
Washington’s disruptive trade wars present both opportunities and challenges to China and Africa.Borders that are crisscrossed more frequently by trade in goods and services are less likely to be besieged by soldiers...Washington’s disruptive trade wars present both opportunities and challenges to China and Africa.Borders that are crisscrossed more frequently by trade in goods and services are less likely to be besieged by soldiers and other armed elements,buttressing the fact that trade dividends are not just related to development,growth,and prosperity,but also include peace and mutual understanding through dialogue among civilisations.展开更多
Calvin Wee first set foot in China at the age of 14—not for a diplomatic forum or a youth initiative,but on a week-long school trip to Guangzhou.Yet even then,the experience left a lasting impression.“We visited a l...Calvin Wee first set foot in China at the age of 14—not for a diplomatic forum or a youth initiative,but on a week-long school trip to Guangzhou.Yet even then,the experience left a lasting impression.“We visited a local school and sat in on several classes,”he recalled.“The math lessons stood out—the students’intensity and focus were striking.In Singapore,we study hard,but this was on another level.”That early glimpse into China’s education system stayed with him,and years later,it resurfaced as he began to engage more deeply with the Chinese language and culture.A pocket-sized wuxia xiaoshuo(martial arts novel),picked up on a whim in a Guangzhou bookstore,opened the door to martial arts fiction—and sparked a lasting interest in Chinese literature and,eventually,China Studies.展开更多
Action recognition,a fundamental task in the field of video understanding,has been extensively researched and applied.In contrast to an image,a video introduces an extra temporal dimension.However,many existing action...Action recognition,a fundamental task in the field of video understanding,has been extensively researched and applied.In contrast to an image,a video introduces an extra temporal dimension.However,many existing action recognition networks either perform simple temporal fusion through averaging or rely on pre-trained models from image recognition,resulting in limited temporal information extraction capabilities.This work proposes a highly efficient temporal decoding module that can be seamlessly integrated into any action recognition backbone network to enhance the focus on temporal relationships between video frames.Firstly,the decoder initializes a set of learnable queries,termed video-level action category prediction queries.Then,they are combined with the video frame features extracted by the backbone network after self-attention learning to extract video context information.Finally,these prediction queries with rich temporal features are used for category prediction.Experimental results on HMDB51,MSRDailyAct3D,Diving48 and Breakfast datasets show that using TokShift-Transformer and VideoMAE as encoders results in a significant improvement in Top-1 accuracy compared to the original models(TokShift-Transformer and VideoMAE),after introducing the proposed temporal decoder.The introduction of the temporal decoder results in an average performance increase exceeding 11%for TokShift-Transformer and nearly 5%for VideoMAE across the four datasets.Furthermore,the work explores the combination of the decoder with various action recognition networks,including Timesformer,as encoders.This results in an average accuracy improvement of more than 3.5%on the HMDB51 dataset.The code is available at https://github.com/huangturbo/TempDecoder.展开更多
The relationship between China and the Philippines is a tapestry woven over a millennium,colored by threads of commerce,culture,and kinship.While modern diplomatic relations were formally established on June 9,1975,th...The relationship between China and the Philippines is a tapestry woven over a millennium,colored by threads of commerce,culture,and kinship.While modern diplomatic relations were formally established on June 9,1975,the foundation of this partnership was laid centuries before any official stateto-state ties.This long history provides a crucial context for understanding the current geopolitical landscape and underscores the immense value of preserving this enduring friendship for future generations.展开更多
With the advent of the next-generation Air Traffic Control(ATC)system,there is growing interest in using Artificial Intelligence(AI)techniques to enhance Situation Awareness(SA)for ATC Controllers(ATCOs),i.e.,Intellig...With the advent of the next-generation Air Traffic Control(ATC)system,there is growing interest in using Artificial Intelligence(AI)techniques to enhance Situation Awareness(SA)for ATC Controllers(ATCOs),i.e.,Intelligent SA(ISA).However,the existing AI-based SA approaches often rely on unimodal data and lack a comprehensive description and benchmark of the ISA tasks utilizing multi-modal data for real-time ATC environments.To address this gap,by analyzing the situation awareness procedure of the ATCOs,the ISA task is refined to the processing of the two primary elements,i.e.,spoken instructions and flight trajectories.Subsequently,the ISA is further formulated into Controlling Intent Understanding(CIU)and Flight Trajectory Prediction(FTP)tasks.For the CIU task,an innovative automatic speech recognition and understanding framework is designed to extract the controlling intent from unstructured and continuous ATC communications.For the FTP task,the single-and multi-horizon FTP approaches are investigated to support the high-precision prediction of the situation evolution.A total of 32 unimodal/multi-modal advanced methods with extensive evaluation metrics are introduced to conduct the benchmarks on the real-world multi-modal ATC situation dataset.Experimental results demonstrate the effectiveness of AI-based techniques in enhancing ISA for the ATC environment.展开更多
Background:Chronic rhinosinusitis(CRS)is a prevalent inflammatory disease of the nasal and paranasal sinuses,affecting millions worldwide and significantly impacting quality of life.The pathogenesis of CRS involves co...Background:Chronic rhinosinusitis(CRS)is a prevalent inflammatory disease of the nasal and paranasal sinuses,affecting millions worldwide and significantly impacting quality of life.The pathogenesis of CRS involves complex interactions between environmental and host factors,leading to chronic inflammation and tissue remodeling.Purpose of review:This narrative review synthesizes recent research on the predisposing factors of CRS and their potential influence on disease endotypes,aiming to enhance understanding of this multifaceted condition.Recent findings:Identified predisposing factors include allergy,asthma,immune deficiency,gastroesophageal reflux,nasal anatomical variations,microbial infections,and others.Bacteria and biofilms,particularly Staphylococcus aureus,are significant in disease onset and severity.Immune deficiency may predispose individuals to CRS,and NSAID-exacerbated respiratory disease(N-ERD)is associated with more severe symptoms.Gastroesophageal reflux disease(GERD)and primary ciliary dyskinesia(PCD)also contribute to CRS development,with PCD leading to impaired mucociliary clearance and chronic inflammation.Conclusion:CRS is a multifactorial disease with various predisposing factors influencing its development and endotypic classification.Understanding these factors and their interactions with the immune system is crucial for developing targeted treatments and improving patient outcomes.展开更多
Chinese President Xi Jinping met with Singaporean Prime Minister Lawrence Wong in Beijing on June 24.Xi Jinping congratulated Wong on his second term in office.Noting that this year marks the 35th anniversary of diplo...Chinese President Xi Jinping met with Singaporean Prime Minister Lawrence Wong in Beijing on June 24.Xi Jinping congratulated Wong on his second term in office.Noting that this year marks the 35th anniversary of diplomatic relations between China and Singapore,Xi Jinping highlighted that the two sides have consistently upheld mutual understanding and respect,which has provided a solid foundation for the stable and healthy development of bilateral relations.Cooperation between the two countries has aligned with China’s development priorities at various stages,yielding substantial outcomes such as the Suzhou Industrial Park,significantly contributing to each country’s modernization efforts,and also setting a benchmark for cooperation among regional nations,Xi Jinping noted.展开更多
A British China expert believes that through the writings and speeches of President Xi Jinping one can gain a better understanding of China.LIKE many people around the world,be they China scholars,friends of China or ...A British China expert believes that through the writings and speeches of President Xi Jinping one can gain a better understanding of China.LIKE many people around the world,be they China scholars,friends of China or students of Marxism.展开更多
At the beginning of the 20^(th)century,German scientist Richard Semon introduced the term'engram'to describe the neural substrate implicated in the processes of memory formation and retrieval[1].The trace of t...At the beginning of the 20^(th)century,German scientist Richard Semon introduced the term'engram'to describe the neural substrate implicated in the processes of memory formation and retrieval[1].The trace of the corresponding biophysical and biochemical changes in the brain responding to an external stimulus is called an engram,and understanding the physical manifestations of memory formation and recall remains a fundamental yet unresolved question[2].展开更多
BACKGROUND Diabetic ketoacidosis(DKA)remains a serious and potentially preventable complication among children with type 1 diabetes mellitus(T1DM),particularly in Saudi Arabia.Psychological constructs such as perceive...BACKGROUND Diabetic ketoacidosis(DKA)remains a serious and potentially preventable complication among children with type 1 diabetes mellitus(T1DM),particularly in Saudi Arabia.Psychological constructs such as perceived severity and susceptibility influence health behaviour,yet their role in pediatric diabetes management remains underexplored.AIM To examine psychological predictors of DKA in children with T1DM using the health belief model,and to assess the role of caregiver-perceived understanding in influencing adherence and DKA occurrence.METHODS A case-control study was conducted at Prince Sultan Military Medical City in Riyadh,Saudi Arabia,involving 191 caregivers of children with T1DM(96 cases with a history of DKA and 95 controls without).Validated questionnaires measured perceived severity,susceptibility,understanding,and adherence.Statistical analyses included independent t-tests,Pearson and Spearman correlations,and multiple regression.RESULTS Perceived understanding was the strongest predictor of adherence(β=1.03,P<0.001)and was inversely associated with DKA occurrence(P<0.001).Children without a DKA history had significantly higher levels of perceived understanding and adherence.Perceived severity had a moderate positive association with adherence,while perceived susceptibility showed a weak negative correlation.CONCLUSION Caregiver-perceived understanding plays a critical role in adherence and DKA prevention.These findings support expanding the health belief model to include perceived understanding as a distinct construct and highlight the importance of integrating comprehension-focused strategies into pediatric diabetes education.展开更多
Intent detection and slot filling are two important components of natural language understanding.Because their relevance,joint training is often performed to improve performance.Existing studies mostly use a joint mod...Intent detection and slot filling are two important components of natural language understanding.Because their relevance,joint training is often performed to improve performance.Existing studies mostly use a joint model of multi-intent detection and slot-filling with unidirectional interaction,which improves the overall performance of the model by fusing the intent information in the slot-filling part.On this basis,in order to further improve the overall performance of the model by exploiting the correlation between the two,this paper proposes a joint multi-intent detection and slot-filling model based on a bidirectional interaction structure,which fuses the intent encoding information in the encoding part of slot filling and fuses the slot decoding information in the decoding part of intent detection.Experimental results on two public multi-intent joint training datasets,MixATIS and MixSNIPS,show that the bidirectional interaction structure proposed in this paper can effectively improve the performance of the joint model.In addition,in order to verify the generalization of the bidirectional interaction structure between intent and slot,a joint model for single-intent scenarios is proposed on the basis of the model in this paper.This model also achieves excellent performance on two public single-intent joint training datasets,CAIS and SNIPS.展开更多
基金supported in part by National Institute of Health(NIH),USA(Grant Nos.:R01GM126189,R01AI164266,and R35GM148196)the National Science Foundation,USA(Grant Nos.DMS2052983,DMS-1761320,and IIS-1900473)+3 种基金National Aero-nautics and Space Administration(NASA),USA(Grant No.:80NSSC21M0023)Michigan State University(MSU)Foundation,USA,Bristol-Myers Squibb(Grant No.:65109)USA,and Pfizer,USAsupported by the National Natural Science Foundation of China(Grant Nos.:11971367,12271416,and 11972266).
文摘Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data,these models showcase remarkable efficacy across various tasks,including new drug design and drug target identification.The adaptability of pre-trained trans-former-based models renders them indispensable assets for driving data-centric advancements in drug discovery,chemistry,and biology,furnishing a robust framework that expedites innovation and dis-covery within these domains.Beyond their technical prowess,the success of transformer-based models in drug discovery,chemistry,and biology extends to their interdisciplinary potential,seamlessly combining biological,physical,chemical,and pharmacological insights to bridge gaps across diverse disciplines.This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields.In our review,we elucidate the myriad applications of transformers in drug discovery,as well as chemistry and biology,spanning from protein design and protein engineering,to molecular dynamics(MD),drug target iden-tification,transformer-enabled drug virtual screening(VS),drug lead optimization,drug addiction,small data set challenges,chemical and biological image analysis,chemical language understanding,and single cell data.Finally,we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.
基金financial support from the National Natural Science Foundation of China(22109003)the Basic and Applied Basic Research Foundation of Guangdong Province(2023A1515011391)+1 种基金Soft Science Research Project of Guangdong Province(No.2017B030301013)the Major Science and Technology Infrastructure Project of Material Genome Big-science Facilities Platform supported by Municipal Development and Reform Commission of Shenzhen.
文摘Understanding the proton dynamic behavior in inorganic materials has long been a topic of intense fascination[1],especially in the field of electrochemical energy storage[2].One of the examples is the research of proton transport in transition metal oxides,which dates back to 1971[3]when RuO_(2) was discovered to be capable of storing protons via reversible redox reactions[4].In aqueous electrolytes,the thin film RuO_(2) electrode exhibits a surface pseudocapacitive behavior[5],which could be modified by the structural water in its hydrated form due to the facile Grotthuss hopping mode of protons along the established hydrogen bonds inside the bulk phase[6].Soon later,Goodenough et al.reported the capacitor-like behavior of amorphous MnO_(2)·xH_(2)O electrode in an aqueous KCl electrolyte[7],and further studies on the hydrated MnO_(2) electrodes prepared by sol-gel processes have soon discovered that the intercalation of protons from aqueous electrolytes plays an indispensable role in the charge storage mechanism[8].In recent years,the research interest on rechargeable aqueous batteries has fueled the renaissance of mechanistic study of proton transport in transition metal oxides[9],which can operate as cathodes or anodes via a topotactic insertion mechanism similar to that in Li-ion batteries[10].However,due to the challenges for experimental detection of local chemical environments of the inserted protons,a comprehensive understanding of proton dynamic behavior in these electrodes remains largely lacking.
文摘In January 2025,the Beijing Chamber of Commerce(Singapore)was officially established.Coinciding with the 35th anniversary of China-Singapore diplomatic relations and the 60th anniversary of Singapore’s independence,its founding is part of a timely response to the growing needs of businesses and communities from both Beijing and Singapore to deepen mutual understanding and expand cooperation.As a Chinese person who has lived and worked in Singapore for many years,Feng Jianli,president of the Beijing Chamber of Commerce(Singapore),knows first-hand just how challenging it can be for new immigrants from Beijing to adapt to identity transitions and access local support.The chamber was founded not only to help them take root and thrive,but also to serve as a platform for deeper people-to-people exchange between Singapore and Beijing.
文摘Fostering understanding between China and Africa through dialogue and exchanges Etienne Bankuwiha,a young sinologist from Burundi and a doctoral student at Nanjing University,received on the afternoon of 13 November the message he had been eagerly awaiting-a reply from Chinese President Xi Jinping.
文摘As an English traveler,diving into the heart of Chinese culture is like unlocking a world of rich experiences that offer a deeper understanding of the country and its people.Here is how,from my perspective,I have immersed myself in various facets of Chinese culture.
文摘1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our lives and purify our souls.I enjoy reading and I love life.I enjoy reading Chinese classics such as the Four Great Classical Novels of Chinese literature.I explore the mythical and wonderful stories of demons and monsters in Journey to the West and experience the boldness of martial art heroes in Water Margin.
文摘Washington’s disruptive trade wars present both opportunities and challenges to China and Africa.Borders that are crisscrossed more frequently by trade in goods and services are less likely to be besieged by soldiers and other armed elements,buttressing the fact that trade dividends are not just related to development,growth,and prosperity,but also include peace and mutual understanding through dialogue among civilisations.
文摘Calvin Wee first set foot in China at the age of 14—not for a diplomatic forum or a youth initiative,but on a week-long school trip to Guangzhou.Yet even then,the experience left a lasting impression.“We visited a local school and sat in on several classes,”he recalled.“The math lessons stood out—the students’intensity and focus were striking.In Singapore,we study hard,but this was on another level.”That early glimpse into China’s education system stayed with him,and years later,it resurfaced as he began to engage more deeply with the Chinese language and culture.A pocket-sized wuxia xiaoshuo(martial arts novel),picked up on a whim in a Guangzhou bookstore,opened the door to martial arts fiction—and sparked a lasting interest in Chinese literature and,eventually,China Studies.
基金Shanghai Municipal Commission of Economy and Information Technology,China (No.202301054)。
文摘Action recognition,a fundamental task in the field of video understanding,has been extensively researched and applied.In contrast to an image,a video introduces an extra temporal dimension.However,many existing action recognition networks either perform simple temporal fusion through averaging or rely on pre-trained models from image recognition,resulting in limited temporal information extraction capabilities.This work proposes a highly efficient temporal decoding module that can be seamlessly integrated into any action recognition backbone network to enhance the focus on temporal relationships between video frames.Firstly,the decoder initializes a set of learnable queries,termed video-level action category prediction queries.Then,they are combined with the video frame features extracted by the backbone network after self-attention learning to extract video context information.Finally,these prediction queries with rich temporal features are used for category prediction.Experimental results on HMDB51,MSRDailyAct3D,Diving48 and Breakfast datasets show that using TokShift-Transformer and VideoMAE as encoders results in a significant improvement in Top-1 accuracy compared to the original models(TokShift-Transformer and VideoMAE),after introducing the proposed temporal decoder.The introduction of the temporal decoder results in an average performance increase exceeding 11%for TokShift-Transformer and nearly 5%for VideoMAE across the four datasets.Furthermore,the work explores the combination of the decoder with various action recognition networks,including Timesformer,as encoders.This results in an average accuracy improvement of more than 3.5%on the HMDB51 dataset.The code is available at https://github.com/huangturbo/TempDecoder.
文摘The relationship between China and the Philippines is a tapestry woven over a millennium,colored by threads of commerce,culture,and kinship.While modern diplomatic relations were formally established on June 9,1975,the foundation of this partnership was laid centuries before any official stateto-state ties.This long history provides a crucial context for understanding the current geopolitical landscape and underscores the immense value of preserving this enduring friendship for future generations.
基金supported by the National Natural Science Foundation of China(Nos.62371323,62401380,U2433217,U2333209,and U20A20161)Natural Science Foundation of Sichuan Province,China(Nos.2025ZNSFSC1476)+2 种基金Sichuan Science and Technology Program,China(Nos.2024YFG0010 and 2024ZDZX0046)the Institutional Research Fund from Sichuan University(Nos.2024SCUQJTX030)the Open Fund of Key Laboratory of Flight Techniques and Flight Safety,CAAC(Nos.GY2024-01A).
文摘With the advent of the next-generation Air Traffic Control(ATC)system,there is growing interest in using Artificial Intelligence(AI)techniques to enhance Situation Awareness(SA)for ATC Controllers(ATCOs),i.e.,Intelligent SA(ISA).However,the existing AI-based SA approaches often rely on unimodal data and lack a comprehensive description and benchmark of the ISA tasks utilizing multi-modal data for real-time ATC environments.To address this gap,by analyzing the situation awareness procedure of the ATCOs,the ISA task is refined to the processing of the two primary elements,i.e.,spoken instructions and flight trajectories.Subsequently,the ISA is further formulated into Controlling Intent Understanding(CIU)and Flight Trajectory Prediction(FTP)tasks.For the CIU task,an innovative automatic speech recognition and understanding framework is designed to extract the controlling intent from unstructured and continuous ATC communications.For the FTP task,the single-and multi-horizon FTP approaches are investigated to support the high-precision prediction of the situation evolution.A total of 32 unimodal/multi-modal advanced methods with extensive evaluation metrics are introduced to conduct the benchmarks on the real-world multi-modal ATC situation dataset.Experimental results demonstrate the effectiveness of AI-based techniques in enhancing ISA for the ATC environment.
基金supported by the Health Science and Technology Development Project of Huaiyin District,Huai’an,Jiangsu Province(HYWJ2024009)of China.
文摘Background:Chronic rhinosinusitis(CRS)is a prevalent inflammatory disease of the nasal and paranasal sinuses,affecting millions worldwide and significantly impacting quality of life.The pathogenesis of CRS involves complex interactions between environmental and host factors,leading to chronic inflammation and tissue remodeling.Purpose of review:This narrative review synthesizes recent research on the predisposing factors of CRS and their potential influence on disease endotypes,aiming to enhance understanding of this multifaceted condition.Recent findings:Identified predisposing factors include allergy,asthma,immune deficiency,gastroesophageal reflux,nasal anatomical variations,microbial infections,and others.Bacteria and biofilms,particularly Staphylococcus aureus,are significant in disease onset and severity.Immune deficiency may predispose individuals to CRS,and NSAID-exacerbated respiratory disease(N-ERD)is associated with more severe symptoms.Gastroesophageal reflux disease(GERD)and primary ciliary dyskinesia(PCD)also contribute to CRS development,with PCD leading to impaired mucociliary clearance and chronic inflammation.Conclusion:CRS is a multifactorial disease with various predisposing factors influencing its development and endotypic classification.Understanding these factors and their interactions with the immune system is crucial for developing targeted treatments and improving patient outcomes.
文摘Chinese President Xi Jinping met with Singaporean Prime Minister Lawrence Wong in Beijing on June 24.Xi Jinping congratulated Wong on his second term in office.Noting that this year marks the 35th anniversary of diplomatic relations between China and Singapore,Xi Jinping highlighted that the two sides have consistently upheld mutual understanding and respect,which has provided a solid foundation for the stable and healthy development of bilateral relations.Cooperation between the two countries has aligned with China’s development priorities at various stages,yielding substantial outcomes such as the Suzhou Industrial Park,significantly contributing to each country’s modernization efforts,and also setting a benchmark for cooperation among regional nations,Xi Jinping noted.
文摘A British China expert believes that through the writings and speeches of President Xi Jinping one can gain a better understanding of China.LIKE many people around the world,be they China scholars,friends of China or students of Marxism.
文摘At the beginning of the 20^(th)century,German scientist Richard Semon introduced the term'engram'to describe the neural substrate implicated in the processes of memory formation and retrieval[1].The trace of the corresponding biophysical and biochemical changes in the brain responding to an external stimulus is called an engram,and understanding the physical manifestations of memory formation and recall remains a fundamental yet unresolved question[2].
基金Supported by the Ongoing Research Funding Program at King Saud University,Riyadh,Saudi Arabia,No.ORF-2025-1315.
文摘BACKGROUND Diabetic ketoacidosis(DKA)remains a serious and potentially preventable complication among children with type 1 diabetes mellitus(T1DM),particularly in Saudi Arabia.Psychological constructs such as perceived severity and susceptibility influence health behaviour,yet their role in pediatric diabetes management remains underexplored.AIM To examine psychological predictors of DKA in children with T1DM using the health belief model,and to assess the role of caregiver-perceived understanding in influencing adherence and DKA occurrence.METHODS A case-control study was conducted at Prince Sultan Military Medical City in Riyadh,Saudi Arabia,involving 191 caregivers of children with T1DM(96 cases with a history of DKA and 95 controls without).Validated questionnaires measured perceived severity,susceptibility,understanding,and adherence.Statistical analyses included independent t-tests,Pearson and Spearman correlations,and multiple regression.RESULTS Perceived understanding was the strongest predictor of adherence(β=1.03,P<0.001)and was inversely associated with DKA occurrence(P<0.001).Children without a DKA history had significantly higher levels of perceived understanding and adherence.Perceived severity had a moderate positive association with adherence,while perceived susceptibility showed a weak negative correlation.CONCLUSION Caregiver-perceived understanding plays a critical role in adherence and DKA prevention.These findings support expanding the health belief model to include perceived understanding as a distinct construct and highlight the importance of integrating comprehension-focused strategies into pediatric diabetes education.
基金Supported by the National Nature Science Foundation of China(62462037,62462036)Project for Academic and Technical Leader in Major Disciplines in Jiangxi Province(20232BCJ22013)+1 种基金Jiangxi Provincial Natural Science Foundation(20242BAB26017,20232BAB202010)Jiangxi Province Graduate Innovation Fund Project(YC2023-S320)。
文摘Intent detection and slot filling are two important components of natural language understanding.Because their relevance,joint training is often performed to improve performance.Existing studies mostly use a joint model of multi-intent detection and slot-filling with unidirectional interaction,which improves the overall performance of the model by fusing the intent information in the slot-filling part.On this basis,in order to further improve the overall performance of the model by exploiting the correlation between the two,this paper proposes a joint multi-intent detection and slot-filling model based on a bidirectional interaction structure,which fuses the intent encoding information in the encoding part of slot filling and fuses the slot decoding information in the decoding part of intent detection.Experimental results on two public multi-intent joint training datasets,MixATIS and MixSNIPS,show that the bidirectional interaction structure proposed in this paper can effectively improve the performance of the joint model.In addition,in order to verify the generalization of the bidirectional interaction structure between intent and slot,a joint model for single-intent scenarios is proposed on the basis of the model in this paper.This model also achieves excellent performance on two public single-intent joint training datasets,CAIS and SNIPS.
