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Review on Zhang Dazhi's Tang dai hou qi fan zhen yu zhou zhi guan xi yan jiu
評張達志《唐代後期藩鎮與州之關係研究》
2013
Jiuzhou Xuelin
評張達志《唐代後期藩鎮與州之關係研究》
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Inductive Logic Boosting
[article]
2014
arXiv
pre-print
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Recent years have seen a surge of interest in Probabilistic Logic Programming (PLP) and Statistical Relational Learning (SRL) models that combine logic with probabilities. Structure learning of these systems is an intersection area of Inductive Logic Programming (ILP) and statistical learning (SL). However, ILP cannot deal with probabilities, SL cannot model relational hypothesis. The biggest challenge of integrating these two machine learning frameworks is how to estimate the probability of a
arXiv:1402.6077v1
fatcat:qntunh26xfbshhm5xif4im2vba
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... ogic clause only from the observation of grounded logic atoms. Many current methods models a joint probability by representing clause as graphical model and literals as vertices in it. This model is still too complicate and only can be approximate by pseudo-likelihood. We propose Inductive Logic Boosting framework to transform the relational dataset into a feature-based dataset, induces logic rules by boosting Problog Rule Trees and relaxes the independence constraint of pseudo-likelihood. Experimental evaluation on benchmark datasets demonstrates that the AUC-PR and AUC-ROC value of ILP learned rules are higher than current state-of-the-art SRL methods.
Editorial
2010
Intelligent Data Analysis
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After half a century of artificial intelligence (AI) development, we see many achievements and also many failures of AI. We see AI has branched into many specialized subfields, and there has not been much interaction among these subfields. We don't feel we are getting closer to true AI, while getting greater technological achievements in specialized fields such as those in DARPA grand challenge or robot ASIMO. We see human level intelligence does not lie at the end of the road that focuses only
doi:10.3233/ida-2010-0430
fatcat:byc4r6ypobaafndedfchznuxga
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... on a particular subfield of AI taken in isolation. It's time to think seriously what it means to do and achieve AI. In this perspective, preeminent AI conferences usually play an important role of being the place for people to exchange ideas and the latest research results. The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is one of such international conferences on artificial intelligence. PRICAI 2008 was the tenth in its series of biennial international conferences highlighting the most significant contributions to the field of AI (http://www.jaist.ac.jp/PRICAI-08/). The conference was held during December 16-19, 2008, in the beautiful city of Hanoi, the capital of Vietnam. As in previous years this year's technical program saw very high standards in both the submission and paper review process, resulting in an exciting program that reflects the great variety and depth of modern AI research. From 234 submissions, 49 long papers and 33 regular papers were selected for oral presentation. They covered all traditional areas of AI, including AI foundations, knowledge representation, knowledge acquisition and ontologies, evolutionary computation, etc. as well as various exciting and innovative applications of AI to many different areas. There was particular emphasis in the areas of machine learning and data mining, intelligent agents, language and speech processing, information retrieval and extraction. This special issue contains extended versions of 5 papers selected from 82 papers orally presented at PRICAI 2008. In the first paper, Fabio Cuzzolin introduces three alternative combinatorial formulations of the theory of evidence by proving that both plausibility and commonality functions share the structure of "sum function" with belief functions. In the second paper, Norifumi Murayama and Manabu Okumura present a statistical approach to detect Japanese abbreviations given a root expression by combining two generation and verification models. The method can be applied for other languages, especially for Asian languages. In the third paper, Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiuong Shen and Yidong Shen propose a clustering algorithm with feature order preferences by effectively incorporating these preferences into prototype-based clustering, where the distortion measure is parameterized by the feature weights with respect to the feature order preferences as much as possible. In the fourth paper, Takashi Hashimoto, Katsuhide Warashina and Hajime Yamauchi study the characteristics of a new composite evolutionary computation algorithm in which genetic evolution, individual learning and social learning
Learnware: Small Models Do Big
[article]
2022
arXiv
pre-print
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There are complaints about current machine learning techniques such as the requirement of a huge amount of training data and proficient training skills, the difficulty of continual learning, the risk of catastrophic forgetting, the leaking of data privacy/proprietary, etc. Most research efforts have been focusing on one of those concerned issues separately, paying less attention to the fact that most issues are entangled in practice. The prevailing big model paradigm, which has achieved
arXiv:2210.03647v1
fatcat:m2qnjd32evekflyfacn7wyufxa
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... ve results in natural language processing and computer vision applications, has not yet addressed those issues, whereas becoming a serious source of carbon emissions. This article offers an overview of the learnware paradigm, which attempts to enable users not need to build machine learning models from scratch, with the hope of reusing small models to do things even beyond their original purposes, where the key ingredient is the specification which enables a trained model to be adequately identified to reuse according to the requirement of future users who know nothing about the model in advance.
High-quality multi-wavelength quantum light sources on silicon nitride micro-ring chip
[article]
2022
arXiv
pre-print
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Multi-wavelength quantum light sources, especially at telecom band, are extremely desired in quantum information technology. Despite recent impressive advances, such a quantum light source with high quality remains challenging. Here we demonstrate a multi-wavelength quantum light source using a silicon nitride micro-ring with a free spectral range of 200 GHz. The generation of eight pairs of correlated photons is ensured in a wavelength range of 25.6 nm. With device optimization and
arXiv:2209.11417v1
fatcat:ueajsa2nbrff3c22e7vwq7rkhq
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... ing filters, our source enables the generation of heralded single-photons - at a rate of 62 kHz with g^(2)_h(0)=0.014±0.001, and the generation of energy-time entangled photons - with a visibility of 99.39± 0.45% in the Franson interferometer. These results, at room temperature and telecom wavelength, in a CMOS compatible platform, represent an important step towards integrated quantum light devices for the quantum networks.
Mature BDNF promotes the growth of glioma cells in vitro
2013
Oncology Reports
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Zhou) and rabbit anti-TrkB (1:1000; Millipore) at 4˚C overnight, and then with donkey anti-goat Alexa 488 (green) (1:1,000) and anti-rabbit Alexa 546 (red) (1:1,000) (both from Invitrogen) secondary antibodies ...
doi:10.3892/or.2013.2746
pmid:24064679
fatcat:7wfz6k4bnzf4hed4iysdqlcxdq
AutoEncoder by Forest
[article]
2017
arXiv
pre-print
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Ensembles of decision trees, or called forest, are popularly used in ensemble learning (Zhou, 2012) . ...
Ensemble learning (Zhou, 2012 ) is a powerful learning paradigm which trains multiple learners and combines to tackle the problem. ...
arXiv:1709.09018v1
fatcat:fanabvdkmjbmfctl7nglg3syau
Talking about Rural Urbanization under the Background of Modernity
2019
DEStech Transactions on Social Science Education and Human Science
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Rural urbanization is not only a process of industrialization, economic development and advancement of material living standards, but a social change process that is comprehensively developed in the form of economic, social, political, cultural and other human civilizations. The important connotation of building a harmonious society is precisely because of this theory and practice appeal, then in the process of urbanization and rural urbanization, there will be many problems that have not been
doi:10.12783/dtssehs/iceme2019/29613
fatcat:udpqtesisjb53jycphzvxe54ru
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... r are not perceived and valued in the past development process. However, through the understanding, understanding and resolution of these issues, the urbanization road model with Chinese characteristics has been fundamentally laid out, including of course rural urbanization.
Optimal Margin Distribution Machine
[article]
2016
arXiv
pre-print
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Such a conjecture has been theoretically studied (Wang et al., 2011; Gao and Zhou, 2013) , and it was recently proven by Gao and Zhou (Gao and Zhou, 2013) . ...
Moreover, it was disclosed that rather than simply considering a single-point margin, both the margin mean and variance are important (Gao and Zhou, 2013; Zhou, 2014) . ...
arXiv:1604.03348v1
fatcat:kkwijrwmuje5fjnaqlmuv4e2ym
Heralded Generation of Vectorially Structured Photons With a High Purity
2021
Frontiers in Physics
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See Zhou et al. [26] for more details about the imaging. Even so, all the profiles still coincide well with the theory. ...
doi:10.3389/fphy.2021.654451
doaj:dd24be1efdc74c5c85311f94722c4820
fatcat:grv5cbopwvaurgjaxf3jflu74e
Clinicopathological significance of primitive phenotypes in early gastric cancer with differentiated histology
2021
Diagnostic Pathology
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Background Certain gastric cancers exhibit some primitive phenotypes, which may indicate a high malignancy. In histologically differentiated early gastric cancer (EGC), the presence and the clinicopathological significance of the primitive phenotype remain unclear. Methods Using immunohistochemical staining we detected the expression of three primitive phenotypic markers SALL4, Glypican-3(GPC3), and AFP in whole tissue sections of differentiated EGC (gastrectomy specimens, n = 302). For those
doi:10.1186/s13000-021-01128-w
pmid:34332604
pmcid:PMC8325828
fatcat:jo26va7n5zhunnsw5n4qz4habi
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... ses with primitive phenotypes, we analyzed their clinicopathological features and evaluated whether the criteria for endoscopic resection were met. Results We found that 9.3% (28/302) of all differentiated EGC cases have primitive phenotypes, and most of these cases (25/28) exhibit a histomorphology similar to conventional differentiated EGC. Patients with primitive phenotypes had a deeper invasion, a higher rate of ulcer and lymphatic invasion than cases without primitive phenotype. Moreover, patients with primitive phenotypes displayed a significantly higher frequency of LNM than those without (57.1% vs 8.8%, P < 0.001). Multivariate analysis revealed that presence of primitive phenotypes was an independent risk factor for LNM (P = 0.001, HR 6.977, 95% CI: 2.199–22.138). Interestingly, we found 2 cases with primitive phenotypes developed LNM, and they both met the expanded indications of endoscopic resection for differentiated EGC. Conclusions A small number of differentiated EGC have primitive phenotypes, which were closely related to LNM and were an independent risk factor for LNM. Given its highly aggressive behavior, differentiated EGC with primitive phenotypes should be evaluated with stricter criteria before endoscopic resection, or considered to give an additional surgical operation after endoscopic resection.
Comparison of single agent versus combined chemotherapy in previously treated patients with advanced urothelial carcinoma: a meta-analysis
2016
OncoTargets and Therapy
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Platinum-based chemotherapy is the standard treatment for advanced urothelial cancer (UC) and is generally used in the first-line setting. However, the optimal salvage treatment for previously treated UC patients is unclear. We conducted a systematic review of published clinical trials of single agent versus combined chemotherapy as salvage treatment in previously treated UC patients. Methods: Trials published between 1994 and 2015 were identified by an electronic search of public databases
doi:10.2147/ott.s97062
pmid:27042121
pmcid:PMC4801158
fatcat:t44kv3lwxndenaae6oac6ploru
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... LINE, EMBASE, Cochrane library). All relevant studies were independently identified by two authors for inclusion. Demographic data, treatment regimens, objective response rate (ORR), disease control rate (DCR), median progression-free and overall survival (PFS, OS), and grade 3/4 toxicities were extracted and analyzed using Comprehensive Meta Analysis software (Version 2.0). Results: Fifty cohorts with 1,685 patients were included for analysis: 814 patients were treated with single agent chemotherapy and 871 with combined chemotherapy. Pooled OS was significantly higher at 1 year for combined chemotherapy than for single agent (relative risk [RR] 1.52; 95% CI: 1.01-2.37; P=0.03) but not for 2-year OS (RR 1.31; 95% CI: 0.92-1.85; P=0.064). Additionally, combined chemotherapy significantly improved ORR (RR 2.25; 95% CI: 1.60-3.18; P,0.001) and DCR (RR 1.12; 95% CI: 1.01-1.25, P=0.033) compared to single agent for advanced UC patients. As for grade 3 and 4 toxicities, more frequencies of leukopenia and thrombocytopenia were observed in the combined chemotherapy than in single agent group, while equivalent frequencies of anemia, nausea, vomiting, and diarrhea were found between the two groups. Conclusion: In comparison with single agent alone, combined chemotherapy as salvage treatment for advanced UC patients significantly improved ORR, DCR, and 1-year OS, but not 2-year OS. Our findings support the need to compare combined chemotherapy with single agent alone in the salvage setting in large prospective trials due to its potential survival benefit in advanced UC patients.
A quantitative proteomic response of hepatocellular carcinoma Hep3B cells to danusertib, a pan-Aurora kinase inhibitor
2018
Journal of Cancer
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Hepatocellular carcinoma (HCC) is the sixth most common cancer worldwide, but the overall prognosis remains disappointing especially in the advanced-stage patients. Aberration expression of Aurora kinases is tumorigenic and thus it has attracted interests as therapeutic targets in cancer treatment. Here, we investigated the proteomic response of HCC Hep3B cells to danusertib (Danu), a pan-Aurora kinase inhibitor, and then validated the proteomic results based on stable-isotope labeling by amino
doi:10.7150/jca.20822
pmid:29937924
pmcid:PMC6010685
fatcat:3keriyo6tvckvdn5hrype6a2ia
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... acids in cell culture (SILAC). The proteomic data identified that Danu modulated the expression of 542 protein molecules (279 up-regulated; 260 down-regulated; 3 stable). Ingenuity pathway analysis (IPA) and KEGG pathway analysis identified 107 and 24 signaling pathways were regulated by Danu, respectively. IPA analysis showed cellular growth and proliferation, and cell death and survival were among the top five molecular and cellular functions regulated by Danu. The verification experiments showed that Danu inhibited the proliferation of Hep3B cells with a 24-hr IC50 value of 22.03 µM. Danu treatment also arrested Hep3B cells in G2/M phase via regulating the expression of key cell cycle regulators and induced apoptosis via mitochondria-dependent pathway in a dose-dependent manner. Besides, Danu induced a marked autophagy, and inhibition of autophagy enhanced the anticancer effects of Danu, indicating a cyto-protective role of Danu-induced autophagy. Our proteomic data and Western blotting assays showed the PI3K/Akt/mTOR signaling pathway was involved in the inducing effect of Danu on apoptosis and autophagy. Collectively, our findings have demonstrated that the Aurora kinases inhibition with danusertib results in global proteomic response and exerts anticancer effects in Hep3B cells involving regulation of cell cycle, apoptosis and autophagy and associated signaling pathways.
Multi-label optimal margin distribution machine
2019
Machine Learning
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Zhou and Zhou (2016) and Zhou (2017, 2018) generalized ODM to class imbalance learning, multi-class learning and unsupervised learning respectively. ...
-ML-KNN (Zhang and Zhou 2007) . ...
doi:10.1007/s10994-019-05837-8
fatcat:okilchssg5efvceljvlqljz3ly
Research progress on carbohydrate active enzymes of human microbiome
2019
Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology
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A massive variety of microorganisms live in and on the human body, especially at oral, skin, vaginal, gastroin-testinal, and respiratory sites. The complicated metabolic activities of microorganisms assist human digestive function and participate in a series of physiological and pathogenetic processes. Carbohydrate-active enzymes (CAZymes) are a series of enzymes that function in degradation, modification, and formation of glycoside bonds. Microbes regulate the physiological and pathogenetic
doi:10.7518/hxkq.2019.06.017
pmid:31875448
pmcid:PMC7030758
fatcat:dcmusunvd5bcvlxacjpkvny4gq
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... cesses of human body by producing various CAZymes to degrade and modify complex carbohydrates and generate signal molecules for further utilization in human cells. Here, we reviewed the mechanisms of complex carbohy-drate metabolism and related microbial CAZymes, especially in digestive tract and oral cavity. We also summarized the rela-tionship between microbial CAZymes and human health, and proposed potential applications.
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