Obesity is recognized as the second highest risk factor for cancer. The pathogenic mechanisms underlying tobaccorelated cancers are well characterized and efective programs have led to a decline in smoking and related...Obesity is recognized as the second highest risk factor for cancer. The pathogenic mechanisms underlying tobaccorelated cancers are well characterized and efective programs have led to a decline in smoking and related cancers, but there is a global epidemic of obesity without a clear understanding of how obesity causes cancer. Obesity is heterogeneous, and approximately 25% of obese individuals remain healthy(metabolically healthy obese, MHO), so which fat deposition(subcutaneous versus visceral, adipose versus ectopic) is "malignant"? What is the mechanism of carcinogenesis? Is it by metabolic dysregulation or chronic inflammation? Through which chemokines/genes/signaling pathways does adipose tissue influence carcinogenesis? Can selective inhibition of these pathways uncouple obesity from cancers? Do all obesity related cancers(ORCs) share a molecular signature? Are there common(overlapping) genetic loci that make individuals susceptible to obesity, metabolic syndrome, and cancers? Can we identify precursor lesions of ORCs and will early intervention of high risk individuals alter the natural history? It appears unlikely that the obesity epidemic will be controlled anytime soon; answers to these questions will help to reduce the adverse efect of obesity on human condition.展开更多
How to Differentiate and Treat Bi-syndrome by Acupuncture and Moxibustion?Bi-syndrome is the syndrome due to invasion of the exogenous pathogenic factors of wind, cold and dampness, which obstruct the channels and col...How to Differentiate and Treat Bi-syndrome by Acupuncture and Moxibustion?Bi-syndrome is the syndrome due to invasion of the exogenous pathogenic factors of wind, cold and dampness, which obstruct the channels and collaterals, leading to stagnated flow of qi and blood, characterized by such clinical manifestations as aching pain, numbness, heaviness, limited flexion and extension of the muscles, tendons and joints, or swelling and burning heat of the joints. This syndrome includes rheumatic arthritis, rheumatoid arthritis, osseous arthritis, and various neuralgia. The endogenous causative factors for the occurrence of Bi-syndrome are insufficiency of yang-qi, essence and blood, while the exogenous causative factors are the pathogenic wind, cold, and dampness. At the initial stage of the disease, the excessiveness of pathogen usually prevails, and the disease tends to be located in the limbs, skin and muscles, and channels and collaterals; while at the chronic stage, there often exists deficiency of the vital-qi or deficiency and excess intermixed, and the disease tends to be located deeper in the tendons and bones or in the zang-fu organs.展开更多
Teachers’ questions have been regarded as an important component in foreign language teaching context. The present paper aims to present a brief investigation into teachers’ question types and students’ answers in ...Teachers’ questions have been regarded as an important component in foreign language teaching context. The present paper aims to present a brief investigation into teachers’ question types and students’ answers in primary school English teaching, and tries to draw some implications for primary school English teachers. The video was transcribed and analyzed by the researcher. According to what is surveyed in the study, some questioning strategies were put forward for primary English teaching in the future.展开更多
On June 3 1996, Minister of Electric Power Shi Dazhen accepted news-covering of Britain "Financial Times" resident reporter in Beijing Tony Walker, resident reporter in Hong Kong John Ridding and Asian Edito...On June 3 1996, Minister of Electric Power Shi Dazhen accepted news-covering of Britain "Financial Times" resident reporter in Beijing Tony Walker, resident reporter in Hong Kong John Ridding and Asian Editor Peter Montagnon, and answered their questions in the aspects of the 9th Five-year Development Planning of China’s Electric Power and some related issues.展开更多
In traditional database applications, queries intend to retrieve data satisfying precise conditions. As a result, thousands of data can be retrieved (overabundant answer) or, even worse, no data at all (empty answer)....In traditional database applications, queries intend to retrieve data satisfying precise conditions. As a result, thousands of data can be retrieved (overabundant answer) or, even worse, no data at all (empty answer). In both cases, the queries must be reformulated to produce more significant results and, typically, many related queries are submitted by a user before he can be finally satisfied. To overcome these problems, this paper proposes a unified solution in the framework of flexible queries with fuzzy semantics. This solution, based on the concept of semantic proximity and implemented in a tool for flexible query answering, allows the automatic reformulation of queries with empty or overabundant answers.展开更多
1)—What is the most useful thing when it is used up? —An umbrella.2)—You can’t buy it in a store.It’s delivered to your house,and you use it every day.What is it? —Electricity.
Background External knowledge representations play an essential role in knowledge-based visual question and answering to better understand complex scenarios in the open world.Recent entity-relationship embedding appro...Background External knowledge representations play an essential role in knowledge-based visual question and answering to better understand complex scenarios in the open world.Recent entity-relationship embedding approaches are deficient in representing some complex relations,resulting in a lack of topic-related knowledge and redundancy in topic-irrelevant information.Methods To this end,we propose MKEAH:Multimodal Knowledge Extraction and Accumulation on Hyperplanes.To ensure that the lengths of the feature vectors projected onto the hyperplane compare equally and to filter out sufficient topic-irrelevant information,two losses are proposed to learn the triplet representations from the complementary views:range loss and orthogonal loss.To interpret the capability of extracting topic-related knowledge,we present the Topic Similarity(TS)between topic and entity-relations.Results Experimental results demonstrate the effectiveness of hyperplane embedding for knowledge representation in knowledge-based visual question answering.Our model outperformed state-of-the-art methods by 2.12%and 3.24%on two challenging knowledge-request datasets:OK-VQA and KRVQA,respectively.Conclusions The obvious advantages of our model in TS show that using hyperplane embedding to represent multimodal knowledge can improve its ability to extract topic-related knowledge.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
1.Harry’s mom has three boys.The first boy’s name is Tom.the second boy’s named is David.What is the third boy’s name?2.How can you make a fire with two sticks?3.A boy fell off a 100-foot ladder and did not get hu...1.Harry’s mom has three boys.The first boy’s name is Tom.the second boy’s named is David.What is the third boy’s name?2.How can you make a fire with two sticks?3.A boy fell off a 100-foot ladder and did not get hurt.How can this be?4.I’m full when I am gone.and I’m empty when I am here.What am I?5.What kind of key can not open doors?展开更多
文摘Obesity is recognized as the second highest risk factor for cancer. The pathogenic mechanisms underlying tobaccorelated cancers are well characterized and efective programs have led to a decline in smoking and related cancers, but there is a global epidemic of obesity without a clear understanding of how obesity causes cancer. Obesity is heterogeneous, and approximately 25% of obese individuals remain healthy(metabolically healthy obese, MHO), so which fat deposition(subcutaneous versus visceral, adipose versus ectopic) is "malignant"? What is the mechanism of carcinogenesis? Is it by metabolic dysregulation or chronic inflammation? Through which chemokines/genes/signaling pathways does adipose tissue influence carcinogenesis? Can selective inhibition of these pathways uncouple obesity from cancers? Do all obesity related cancers(ORCs) share a molecular signature? Are there common(overlapping) genetic loci that make individuals susceptible to obesity, metabolic syndrome, and cancers? Can we identify precursor lesions of ORCs and will early intervention of high risk individuals alter the natural history? It appears unlikely that the obesity epidemic will be controlled anytime soon; answers to these questions will help to reduce the adverse efect of obesity on human condition.
文摘How to Differentiate and Treat Bi-syndrome by Acupuncture and Moxibustion?Bi-syndrome is the syndrome due to invasion of the exogenous pathogenic factors of wind, cold and dampness, which obstruct the channels and collaterals, leading to stagnated flow of qi and blood, characterized by such clinical manifestations as aching pain, numbness, heaviness, limited flexion and extension of the muscles, tendons and joints, or swelling and burning heat of the joints. This syndrome includes rheumatic arthritis, rheumatoid arthritis, osseous arthritis, and various neuralgia. The endogenous causative factors for the occurrence of Bi-syndrome are insufficiency of yang-qi, essence and blood, while the exogenous causative factors are the pathogenic wind, cold, and dampness. At the initial stage of the disease, the excessiveness of pathogen usually prevails, and the disease tends to be located in the limbs, skin and muscles, and channels and collaterals; while at the chronic stage, there often exists deficiency of the vital-qi or deficiency and excess intermixed, and the disease tends to be located deeper in the tendons and bones or in the zang-fu organs.
文摘Teachers’ questions have been regarded as an important component in foreign language teaching context. The present paper aims to present a brief investigation into teachers’ question types and students’ answers in primary school English teaching, and tries to draw some implications for primary school English teachers. The video was transcribed and analyzed by the researcher. According to what is surveyed in the study, some questioning strategies were put forward for primary English teaching in the future.
文摘On June 3 1996, Minister of Electric Power Shi Dazhen accepted news-covering of Britain "Financial Times" resident reporter in Beijing Tony Walker, resident reporter in Hong Kong John Ridding and Asian Editor Peter Montagnon, and answered their questions in the aspects of the 9th Five-year Development Planning of China’s Electric Power and some related issues.
基金supported by CNPq(Brazilian National Counsel of Technological and Scientific Development),under grant numbers 305484/2012-5 and 104200/2013-8.
文摘In traditional database applications, queries intend to retrieve data satisfying precise conditions. As a result, thousands of data can be retrieved (overabundant answer) or, even worse, no data at all (empty answer). In both cases, the queries must be reformulated to produce more significant results and, typically, many related queries are submitted by a user before he can be finally satisfied. To overcome these problems, this paper proposes a unified solution in the framework of flexible queries with fuzzy semantics. This solution, based on the concept of semantic proximity and implemented in a tool for flexible query answering, allows the automatic reformulation of queries with empty or overabundant answers.
文摘1)—What is the most useful thing when it is used up? —An umbrella.2)—You can’t buy it in a store.It’s delivered to your house,and you use it every day.What is it? —Electricity.
基金Supported by National Nature Science Foudation of China(61976160,61906137,61976158,62076184,62076182)Shanghai Science and Technology Plan Project(21DZ1204800)。
文摘Background External knowledge representations play an essential role in knowledge-based visual question and answering to better understand complex scenarios in the open world.Recent entity-relationship embedding approaches are deficient in representing some complex relations,resulting in a lack of topic-related knowledge and redundancy in topic-irrelevant information.Methods To this end,we propose MKEAH:Multimodal Knowledge Extraction and Accumulation on Hyperplanes.To ensure that the lengths of the feature vectors projected onto the hyperplane compare equally and to filter out sufficient topic-irrelevant information,two losses are proposed to learn the triplet representations from the complementary views:range loss and orthogonal loss.To interpret the capability of extracting topic-related knowledge,we present the Topic Similarity(TS)between topic and entity-relations.Results Experimental results demonstrate the effectiveness of hyperplane embedding for knowledge representation in knowledge-based visual question answering.Our model outperformed state-of-the-art methods by 2.12%and 3.24%on two challenging knowledge-request datasets:OK-VQA and KRVQA,respectively.Conclusions The obvious advantages of our model in TS show that using hyperplane embedding to represent multimodal knowledge can improve its ability to extract topic-related knowledge.
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.
文摘1.Harry’s mom has three boys.The first boy’s name is Tom.the second boy’s named is David.What is the third boy’s name?2.How can you make a fire with two sticks?3.A boy fell off a 100-foot ladder and did not get hurt.How can this be?4.I’m full when I am gone.and I’m empty when I am here.What am I?5.What kind of key can not open doors?
