Z-curve’s encoding and decoding algorithms are primely important in many Z-curve-based applications.The bit interleaving algorithm is the current state-of-the-art algorithm for encoding and decoding Z-curve.Although ...Z-curve’s encoding and decoding algorithms are primely important in many Z-curve-based applications.The bit interleaving algorithm is the current state-of-the-art algorithm for encoding and decoding Z-curve.Although simple,its efficiency is hindered by the step-by-step coordinate shifting and bitwise operations.To tackle this problem,we first propose the efficient encoding algorithm LTFe and the corresponding decoding algorithm LTFd,which adopt two optimization methods to boost the algorithm’s efficiency:1)we design efficient lookup tables(LT)that convert encoding and decoding operations into table-lookup operations;2)we design a bit detection mechanism that skips partial order of a coordinate or a Z-value with consecutive 0s in the front,avoiding unnecessary iterative computations.We propose order-parallel and point-parallel OpenMP-based algorithms to exploit the modern multi-core hardware.Experimental results on discrete,skewed,and real datasets indicate that our point-parallel algorithms can be up to 12.6×faster than the existing algorithms.展开更多
In the era of artificial intelligence,cognitive computing,based on cognitive science;and supported by machine learning and big data,brings personalization into every corner of our social life.Recommendation systems ar...In the era of artificial intelligence,cognitive computing,based on cognitive science;and supported by machine learning and big data,brings personalization into every corner of our social life.Recommendation systems are essential applications of cognitive computing in educational scenarios.They help learners personalize their learning better by computing student and exercise characteristics using data generated from relevant learning progress.The paper introduces a Learning and Forgetting Convolutional Knowledge Tracking Exercise Recommendation model(LFCKT-ER).First,the model computes students’ability to understand each knowledge concept,and the learning progress of each knowledge concept,and the model consider their forgetting behavior during learning progress.Then,students’learning stage preferences are combined with filtering the exercises that meet their learning progress and preferences.Then students’ability is used to evaluate whether their expectations of the difficulty of the exercises are reasonable.Then,the model filters the exercises that best match students’expectations again by students’expectations.Finally,we use a simulated annealing optimization algorithm to assemble a set of exercises with the highest diversity.From the experimental results,the LFCKT-ER model can better meet students’personalized learning needs and is more accurate than other exercise recommendation systems under various metrics on real online education public datasets.展开更多
Meningiomas, the most common intracranial primary tumors, are always benign. Extracranial and distant metastases can occur in malignant meningiomas. This case report describes a male in his 50 s with malignant meningi...Meningiomas, the most common intracranial primary tumors, are always benign. Extracranial and distant metastases can occur in malignant meningiomas. This case report describes a male in his 50 s with malignant meningioma and metastases to the subcutaneous soft tissue. Preoperative color Doppler ultrasound showed that the tumor had an abundant blood flow. Intraoperative pathological examination revealed a malignant tumor. Postoperative pathological examination revealed malignant tumors in the forehead;thus, malignant meningiomas were suspected. Immunohistochemistry revealed grade Ⅲ malignant meningioma. Malignant meningiomas have the ability to readily spread and metastasize;however, cases of malignant meningiomas disintegrating the bone and metastasizing to the subcutaneous part of the head have not been reported.展开更多
While KRAS mutation is the leading cause of low survival rates in lung cancer bone metastasis patients,effective treatments are still lacking.Here,we identified homeobox C10(HOXC10)as a lynchpin in pan-KRAS-mutant lun...While KRAS mutation is the leading cause of low survival rates in lung cancer bone metastasis patients,effective treatments are still lacking.Here,we identified homeobox C10(HOXC10)as a lynchpin in pan-KRAS-mutant lung cancer bone metastasis.展开更多
The large aperture optical mirror for space is processed and tested in the gravity environment on the ground. After entering space, gravity disappears due to the change of environment, and the mirror surface that has ...The large aperture optical mirror for space is processed and tested in the gravity environment on the ground. After entering space, gravity disappears due to the change of environment, and the mirror surface that has met the engineering requirements on the ground will change, seriously affecting the imaging quality. In order to eliminate the influence of gravity and to ensure the consistency of space and ground, gravity unloading must be performed. In order to meet the requirements of processing and testing for the large aperture space mirror in the state of vertical optical axis, a universal gravity unloading device was proposed. It was an active support and used air cylinders to provide accurate unloading force. First, the design flow of gravity unloading was introduced;then the detailed design of the mechanical structure and control system was given;then the performance parameters of the two types of cylinders were tested and compared, including the force-pressure relationship curve and the force-position relationship curve;finally, the experimental verification of the gravity unloading device was carried out;for a mirror with an aperture of ?2100 mm, the gravity unloading device was designed and a vertical detection optical path was built. The test results showed that by using this gravity unloading device, the actual processing surface accuracy of the mirror was better than 1/50λ-RMS, which met the application requirement of the optical system. Thus, it can be seen that using this gravity unloading device can effectively unload the gravity of the mirror and realize the accurate processing and measurement of the mirror surface. .展开更多
Word embedding has been widely used in word sense disambiguation(WSD)and many other tasks in recent years for it can well represent the semantics of words.However,the existing word embedding methods mostly represent e...Word embedding has been widely used in word sense disambiguation(WSD)and many other tasks in recent years for it can well represent the semantics of words.However,the existing word embedding methods mostly represent each word as a single vector,without considering the homonymy and polysemy of the word;thus,their performances are limited.In order to address this problem,an effective topical word embedding(TWE)‐based WSD method,named TWE‐WSD,is proposed,which integrates Latent Dirichlet Allocation(LDA)and word embedding.Instead of generating a single word vector(WV)for each word,TWE‐WSD generates a topical WV for each word under each topic.Effective integrating strategies are designed to obtain high quality contextual vectors.Extensive experiments on SemEval‐2013 and SemEval‐2015 for English all‐words tasks showed that TWE‐WSD outperforms other state‐of‐the‐art WSD methods,especially on nouns.展开更多
Set queries are an important topic and have attracted a lot of attention. Earlier research mainly concentrated on set containment queries. In this paper we focus on the T-Overlap query which is the foundation of the s...Set queries are an important topic and have attracted a lot of attention. Earlier research mainly concentrated on set containment queries. In this paper we focus on the T-Overlap query which is the foundation of the set similarity query. To address this issue, unlike traditional algorithms that are based on an inverted index, we design a new paradigm based on the prefix tree （trie） called the expanded trie index （ETI） which expands the trie node structure by adding some new properties. Based on ETI, we convert the T- Overlap problem to finding query nodes with specific query depth equaling to T and propose a new algorithm called T- Similarity to solve T-Overlap efficiently. Then we carry out a three-step framework to extend T-Overlap to other simi- larity predicates. Extensive experiments are carried out to compare T-Similarity with other inverted index based algorithms from cardinality of query, overlap threshold, dataset size, the number of distinct elements and so on. Results show that T-Similarity outperforms the state-of-the-art algorithms in many aspects.展开更多
In this study, Fe-doped TiO2/SiO2 （Fe@TS） nanofibrous membranes with molecular imprinted modification, were fabricated by a combination of sol-gel process, electrospinning, calcination and liquid phase deposition te...In this study, Fe-doped TiO2/SiO2 （Fe@TS） nanofibrous membranes with molecular imprinted modification, were fabricated by a combination of sol-gel process, electrospinning, calcination and liquid phase deposition techniques, The precursor sol was prepared from one-pot condensation of poly （vinylpyrrolidone）, ferric chloride hexahydrate, tetraethyl orthosilicate and titanium n-butoxide in the mixture solvents of N,N-dimethylformamide and ethyl alcohol. Fibrous membrane wasthen fabricated by electrospinning, followed by calcination to form the Fe@TS composite. The physicochemical properties of Fe@TS were characterized. Thereafter, 4-nitrophenol （4NP） was used as the template to deposit onto nanofibrous Fe@TS membranes, with a thin layer of molecular imprinted polymer in liquid phase. The photodegradation capabilities of 4NP and methyl orange wereexamined in both single and binary systems. The results demonstrated that molecular imprinted Fe@TS membranes exhibited excellent selectivity for photodegradation of 4NP.展开更多
In this study, nanofibrous polypyrrole-coated TiO2/SiO2 （PPy@TS） membranes were fabricated by a combination of sol-gel process, electrospinning, calcination, and in situ polymerization. Samples from the electrospinn...In this study, nanofibrous polypyrrole-coated TiO2/SiO2 （PPy@TS） membranes were fabricated by a combination of sol-gel process, electrospinning, calcination, and in situ polymerization. Samples from the electrospinning, calcination, and in situ polymerization steps were characterized by scanning electron microscopy, transmission electron microscopy, X-ray diffraction, Fourier transform infrared spectrosco- py, and thermogravimetry. The in situ polymerization of PPy is aimed to enhance the overall photocatalytic capability of TiO2 in the TiO2/SiO2 composite fibers. Results of the photocatalytic degradation tests demonstrated that the PPy@TS composites possess enhanced photocatalytic activity for the degradation of methyl orange.展开更多
基金funded by the Key Project of the Open Fund for Computer Technology Applications in Yunnan under Grant no.CB23031D025A.
文摘Z-curve’s encoding and decoding algorithms are primely important in many Z-curve-based applications.The bit interleaving algorithm is the current state-of-the-art algorithm for encoding and decoding Z-curve.Although simple,its efficiency is hindered by the step-by-step coordinate shifting and bitwise operations.To tackle this problem,we first propose the efficient encoding algorithm LTFe and the corresponding decoding algorithm LTFd,which adopt two optimization methods to boost the algorithm’s efficiency:1)we design efficient lookup tables(LT)that convert encoding and decoding operations into table-lookup operations;2)we design a bit detection mechanism that skips partial order of a coordinate or a Z-value with consecutive 0s in the front,avoiding unnecessary iterative computations.We propose order-parallel and point-parallel OpenMP-based algorithms to exploit the modern multi-core hardware.Experimental results on discrete,skewed,and real datasets indicate that our point-parallel algorithms can be up to 12.6×faster than the existing algorithms.
基金supported by the National Natural Science Foundation of China(No.62006090)Research Funds of Central China Normal University(CCNU)under Grants 31101222211 and 31101222212.
文摘In the era of artificial intelligence,cognitive computing,based on cognitive science;and supported by machine learning and big data,brings personalization into every corner of our social life.Recommendation systems are essential applications of cognitive computing in educational scenarios.They help learners personalize their learning better by computing student and exercise characteristics using data generated from relevant learning progress.The paper introduces a Learning and Forgetting Convolutional Knowledge Tracking Exercise Recommendation model(LFCKT-ER).First,the model computes students’ability to understand each knowledge concept,and the learning progress of each knowledge concept,and the model consider their forgetting behavior during learning progress.Then,students’learning stage preferences are combined with filtering the exercises that meet their learning progress and preferences.Then students’ability is used to evaluate whether their expectations of the difficulty of the exercises are reasonable.Then,the model filters the exercises that best match students’expectations again by students’expectations.Finally,we use a simulated annealing optimization algorithm to assemble a set of exercises with the highest diversity.From the experimental results,the LFCKT-ER model can better meet students’personalized learning needs and is more accurate than other exercise recommendation systems under various metrics on real online education public datasets.
文摘Meningiomas, the most common intracranial primary tumors, are always benign. Extracranial and distant metastases can occur in malignant meningiomas. This case report describes a male in his 50 s with malignant meningioma and metastases to the subcutaneous soft tissue. Preoperative color Doppler ultrasound showed that the tumor had an abundant blood flow. Intraoperative pathological examination revealed a malignant tumor. Postoperative pathological examination revealed malignant tumors in the forehead;thus, malignant meningiomas were suspected. Immunohistochemistry revealed grade Ⅲ malignant meningioma. Malignant meningiomas have the ability to readily spread and metastasize;however, cases of malignant meningiomas disintegrating the bone and metastasizing to the subcutaneous part of the head have not been reported.
基金sponsored by National Natural Science Foundation of China (82303396,82022051,82072972 and 81672883)Science and Technology Commission of Shanghai (22YF1408400)+6 种基金Shanghai Pilot Program for Basic Research (TQ20240208)Natural Science Foundation of Chongqing (CSTB2024NSCQ-JQX0009 and CSTB2024NSCQ-MSX0594)The Postdoctoral Foundation of China (2023T160122)Anti-cancer Association in Shanghai,Joint Foundation from Hehai University Shanghai Cancer Center (YJQN202102)Science&Techenology Department of Sichuan Province (2023NSFSC0705)the Fund of major military joint research project (2019LH 02)Shanghai municipal hospital emerging frontier joint research project (SHDC12024112)。
文摘While KRAS mutation is the leading cause of low survival rates in lung cancer bone metastasis patients,effective treatments are still lacking.Here,we identified homeobox C10(HOXC10)as a lynchpin in pan-KRAS-mutant lung cancer bone metastasis.
文摘The large aperture optical mirror for space is processed and tested in the gravity environment on the ground. After entering space, gravity disappears due to the change of environment, and the mirror surface that has met the engineering requirements on the ground will change, seriously affecting the imaging quality. In order to eliminate the influence of gravity and to ensure the consistency of space and ground, gravity unloading must be performed. In order to meet the requirements of processing and testing for the large aperture space mirror in the state of vertical optical axis, a universal gravity unloading device was proposed. It was an active support and used air cylinders to provide accurate unloading force. First, the design flow of gravity unloading was introduced;then the detailed design of the mechanical structure and control system was given;then the performance parameters of the two types of cylinders were tested and compared, including the force-pressure relationship curve and the force-position relationship curve;finally, the experimental verification of the gravity unloading device was carried out;for a mirror with an aperture of ?2100 mm, the gravity unloading device was designed and a vertical detection optical path was built. The test results showed that by using this gravity unloading device, the actual processing surface accuracy of the mirror was better than 1/50λ-RMS, which met the application requirement of the optical system. Thus, it can be seen that using this gravity unloading device can effectively unload the gravity of the mirror and realize the accurate processing and measurement of the mirror surface. .
基金National Natural Science Foundation of China,Grant/Award Number:61562054The Fund of China Scholarship Council,Grant/Award Number:201908530036Talents Introduction Project of Guangxi University for Nationalities,Grant/Award Number:2014MDQD020。
文摘Word embedding has been widely used in word sense disambiguation(WSD)and many other tasks in recent years for it can well represent the semantics of words.However,the existing word embedding methods mostly represent each word as a single vector,without considering the homonymy and polysemy of the word;thus,their performances are limited.In order to address this problem,an effective topical word embedding(TWE)‐based WSD method,named TWE‐WSD,is proposed,which integrates Latent Dirichlet Allocation(LDA)and word embedding.Instead of generating a single word vector(WV)for each word,TWE‐WSD generates a topical WV for each word under each topic.Effective integrating strategies are designed to obtain high quality contextual vectors.Extensive experiments on SemEval‐2013 and SemEval‐2015 for English all‐words tasks showed that TWE‐WSD outperforms other state‐of‐the‐art WSD methods,especially on nouns.
文摘Set queries are an important topic and have attracted a lot of attention. Earlier research mainly concentrated on set containment queries. In this paper we focus on the T-Overlap query which is the foundation of the set similarity query. To address this issue, unlike traditional algorithms that are based on an inverted index, we design a new paradigm based on the prefix tree （trie） called the expanded trie index （ETI） which expands the trie node structure by adding some new properties. Based on ETI, we convert the T- Overlap problem to finding query nodes with specific query depth equaling to T and propose a new algorithm called T- Similarity to solve T-Overlap efficiently. Then we carry out a three-step framework to extend T-Overlap to other simi- larity predicates. Extensive experiments are carried out to compare T-Similarity with other inverted index based algorithms from cardinality of query, overlap threshold, dataset size, the number of distinct elements and so on. Results show that T-Similarity outperforms the state-of-the-art algorithms in many aspects.
基金supported by the National Natural Science Foundation of China(No. 51503083)China Postdoctoral Science Foundation(No. 2017M611696)+1 种基金the Fundamental Research Funds for the Central Universities(No. JUSRP51723B)the National High-tech R&D Program of China(No.2016YFB0302901)
文摘In this study, Fe-doped TiO2/SiO2 （Fe@TS） nanofibrous membranes with molecular imprinted modification, were fabricated by a combination of sol-gel process, electrospinning, calcination and liquid phase deposition techniques, The precursor sol was prepared from one-pot condensation of poly （vinylpyrrolidone）, ferric chloride hexahydrate, tetraethyl orthosilicate and titanium n-butoxide in the mixture solvents of N,N-dimethylformamide and ethyl alcohol. Fibrous membrane wasthen fabricated by electrospinning, followed by calcination to form the Fe@TS composite. The physicochemical properties of Fe@TS were characterized. Thereafter, 4-nitrophenol （4NP） was used as the template to deposit onto nanofibrous Fe@TS membranes, with a thin layer of molecular imprinted polymer in liquid phase. The photodegradation capabilities of 4NP and methyl orange wereexamined in both single and binary systems. The results demonstrated that molecular imprinted Fe@TS membranes exhibited excellent selectivity for photodegradation of 4NP.
基金supported by National Natural Science Foundation of China(No.51503083)the Fundamental Research Funds for the Central Universities(No. JUSRP51723B)the National Hightech R&D Program of China (No. 2016YFB0302901)
文摘In this study, nanofibrous polypyrrole-coated TiO2/SiO2 （PPy@TS） membranes were fabricated by a combination of sol-gel process, electrospinning, calcination, and in situ polymerization. Samples from the electrospinning, calcination, and in situ polymerization steps were characterized by scanning electron microscopy, transmission electron microscopy, X-ray diffraction, Fourier transform infrared spectrosco- py, and thermogravimetry. The in situ polymerization of PPy is aimed to enhance the overall photocatalytic capability of TiO2 in the TiO2/SiO2 composite fibers. Results of the photocatalytic degradation tests demonstrated that the PPy@TS composites possess enhanced photocatalytic activity for the degradation of methyl orange.
