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This paper utilized methods such as the MaxEnt model and ArcGIS, selected 47 actual planting points of Brassica juncea var. tumida and 20 environmental impact factors, and combined with the data of three future climate scenarios introduced by CMIP6 to predict the suitable climate areas of Brassica juncea var. tumida in Chongqing in the 2050s (2041−2060) and 2070s (2061−2080), providing a scientific reference for the planning and layout of Brassica juncea var. tumida planting in Chongqing. The results showed that the MaxEnt model provided excellent predictions. The cumulative contribution of dominant factors reached as high as 88.3%, including precipitation of the wettest month, annual precipitation, altitude, mean temperature of the coldest season, annual mean temperature and temperature annual range. The threshold of those factors was 178−185mm, 1170−1225mm, 100−380m, 7.8−9.0℃, 17.5−18.6℃ and 27.6−28.6℃, respectively. Under current conditions, Brassica juncea var. tumida had 11.6% of the suitable areas, including 1422 km² of the highly suitable area and 1.7% were in Fuling, Fengdu, and Zhongxian. Under the SSP1−2.6, SSP2−4.5 and SSP5−8.5 climate scenarios, in the 2050s the suitable areas amounted to 11.0%, 11.4% and 11.2%, respectively, and in the 2070s the suitable areas amounted to 10.8%, 10.6% and 9.6%. Future climate change will have adversely affect the planting and development of Brassica juncea var. tumida. To reduce these adverse effects, suitable planting areas should be selected. [ABSTRACT FROM AUTHOR]

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Jumbo flying squid Dosidicus gigas is widely distributed in the Eastern Pacific Ocean. It has a short-lived life cycle and tends to extremely respond to environmental and climate variability. In order to investigate the difference of the effects of environmental factors on habitat distribution of Dosidicus gigas in different regions in the Eastern Pacific Ocean, the present study developed a habitat distribution model for this squid in summer and autumn in the equator, off Peru and Chile. The fisheries data in the equatorial waters of the Pacific Ocean, the waters off Peru from 2016-2018, and the waters off Chile from 2015-2017 were used and obtained from National distant-water fisheries data center of China. Seven marine environmental factors including Sea surface temperature （SST）, Eddy kinetic energy （EKE）, Sea surface salinity （SSS）, Sea surface height （SSH）, Chlorophyll concentration （Chl. a）, Mixed layer depth （MLD）, and Dissolved oxygen concentration （DO） were considered in this study. The maximum entropy model （MaxEnt）was applied to investigate the distribution of suitable habitat for Dosidicus gigas and the differences in the effects of the environmental factors on it were examined in different seasons in different waters. The results showed that the AUC values of the maximum entropy model were higher than 0. 8 in different seasons in different areas, and the actual fishing locations coincided with the range of suitable habitats fitted by the model. The distribution of optimal habitats in the three regions was as follows: in the equatorial waters in summer, the optimal habitats were mainly distributed within the ranges of 110°W-120°W, 1°N-3°S; in autumn, the optimal habitats for Dosidicus gigas were mainly distributed within the ranges of 97°W-117°W, 1. 5°N-1. 5°S, and the distribution of suitable habitats was extended to the east from summer to autumn. In summer, the optimal habitats of Dosidicus gigas off Peru were mainly located in the range of 75°W-86°W, 15°S-20°S; in autumn, the optimal habitats of Dosidicus gigas were mainly located in the range of 75°W-84° W, 15° S-20° S, with the optimal habitats moving southeastward from summer to autumn. The optimal habitats of Dosidicus gigas in summer off Chile were mainly distributed in the range of 73°W-85°W, 20°S-30°S; in autumn, the optimal habitatswere mainly distributed in the range of 75°W-85°W, 20°S-28°S, and the overall suitable habitats moved to the northeast from summer to autumn. Based on the contribution rate of each environmental factor in the habitat model, SSH, Chl. a, SSS and SST were the important environmental factors affecting jumbo flying squid habitat in the equatorial waters; SSH, MLD, DO and SST were the important environmental factors affecting jumbo flying squid habitat in the offshore Peru, and SSH, SST, Chl. a and MLD were the important environmental factors affecting jumbo flying squid habitat in the offshore Chile. Our findings suggested that significant geographical difference was shown in the environmental factors affecting Dosidicus gigas distribution in different regions. [ABSTRACT FROM AUTHOR]

Copyright of Bulletin of Botanical Research is the property of Bulletin of Botanical Research Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Ecology & Rural Environment is the property of Journal of Ecology & Rural Environment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Mycosystema is the property of Mycosystema Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Dalian Ocean University is the property of Journal of Dalian Ocean University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Railway Science & Engineering is the property of Journal of Railway Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Prataculturae Sinica is the property of Acta Prataculturae Sinica Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study combines 294 natural distribution sites of major species of the rare and endangered Pinus genus in China to study the response of the geographical distribution of these species to climate change. The data were combined with climate and other environmental data for the future (2061-2080) and base (1970-2000) periods and the new version of the climate system model (BCC-CSM2-MR) developed by the National Climate Center. We used the MaxEnt model to simulate the potential habitat areas of rare and endangered Pinus species in the base period and future climate scenarios of the BCC-CSM2-MR model. The dominant environmental factors influencing the geographical distribution and the trends of distribution patterns under different climate scenarios were analyzed. The results showed that (1) the area enclosed by the subject's work characteristic curve and the horizontal coordinate of the MaxEnt model for five tree species, namely, Pinus dabeshanensis, P. koraiensis, P. kwangtungensis, P. wangii, and P. sylvestris var. mongolica, were all greater than 0.90, and all the potential fitness zones completely covered the natural distribution points, indicating high model simulation accuracy. (2) The dominant environmental factors affecting the distribution of rare and endangered Pinus species in China are the precipitation of the wettest quarter, minimum temperature of the coldest month, precipitation of the driest quarter, and temperature seasonality. (3) Under the future climate scenario, each rare and endangered Pinus species will migrate or expand to higher altitudes and latitudes, with P. dabeshanensis experiencing a larger migration to the northwest. The suitable area for P. dabeshanensis, P. koraiensis, and P. sylvestris var. mongolica will shrink, with that of P. dabeshanensis shrinking by more than 5.00×105 km² and P. koraiensis and P. sylvestris var. mongolica shrinking by 3.55×105 km² and 2.67×105 km², respectively, under the SSP$585 climate scenario. P. kwangtungensis and P. wangii will expand their suitable areas to the north and northwest, with their areas increasing by 6.48×105 km² and 2.72x105 km², respectively, under the SSPs585 climate scenario. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Henan Agricultural Sciences is the property of Editorial Board of Journal of Henan Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Ecology & Rural Environment is the property of Journal of Ecology & Rural Environment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chinese Journal of Preventive Veterinary Medicine / Zhongguo Yufang Shouyi Xuebao is the property of Chinese Journal of Preventive Veterinary Medicine Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Xinjiang Agricultural Sciences is the property of Xinjiang Agricultural Sciences Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the occurrence data of 12 Pinus species in southwestern China and environmental data for current and future (2070) climate scenarios, we modeled the potential geographic distribution of the Pinus species using MaxEnt and analyzed the environmental characteristics of the potential distribution regions. This study aims to provide a theoretical reference for the protection and sustainable management of Pinus species resources under climate change. Results showed that the area under the receiver operating characteristics curve of all 12 Pinus species was more than 0.8, suggesting that the MaxEnt model is highly reliable in simulating geographical distribution. Among the 12 Pinus species, the distribution range of Pinus yunnanensis var. tenuifolia was the narrowest and that of Pinus massoniana was the widest. Under the 2070 RCP4.5 (representative concentration pathway 4.5) climate scenario, the suitable regions of 12 Pinus species have changed to varying degrees in terms of both area and space, and the overall trend expands northeast or northwest. The suitable regions of Pinus wallichiana, Pinus kesiya, Pinus yunnanensis var. tenuifolia, Pinus yunnanensis, Pinus densata, Pinus armandii, and Pinus tabuliformis are generally expanding, while the highly suitable regions of Pinus yunnanensis var. tenuifolia, and Pinus tabuliformis are decreasing. The suitable regions of Pinus tabuliformis var. henryi, Pinus wangii, Pinus bungeana, Pinus kwangtungensis, and Pinus massoniana are decreasing overall. The average variation range of 8 dominant environmental factors in the Pinus species suitable region is 647 mm≤annual precipitation≤2 600 mm, -8 ℃≤minimum temperature of the coldest month≤10 ℃, 358≤temperature seasonality≤756,281 m≤altitude≤3 054 m, 25≤isothermality≤45.6 ℃≤mean temperature diurnal range≤11 ℃, 43≤precipitation seasonality≤99, and the soil texture of the suitable regions are mainly light clay, silt loam, and sandy clay loam. These results offer guiding significance for the protection of Pinus, afforestation planning, and sustainable management. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Preventive Veterinary Medicine / Zhongguo Yufang Shouyi Xuebao is the property of Chinese Journal of Preventive Veterinary Medicine Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Tibetan is a language with very flexible word order. Current research such as Tibetan lexical analysis and syntactic analysis cannot meet the needs of Tibetan natural language understanding. Based on the simple sentence pattern of Tibetan sentences, we study the semantic dependence of Tibetan based on projection, construct a Tibetan semantic dependency tree library, and design a semantic dependency arc type analysis feature template. Finally, the semantically dependent arc sentences of the artificial analysis are analyzed and labeled through the maximument ropy classification model, which provides a new perspective and sound theoretical support for future semantic dependence analysis. [ABSTRACT FROM AUTHOR]

While the intelligent systems need parameter modeling, users often face the dilemma of scarce modeling samples.This paper proposed a BN parameter learning method-constrained data maximum entropy(CDME) algorithm for the modeling of BN parameters under the small data sets. In the case of estimating BN parameters by using small data sets, it transformed the qualitative expert knowledge into inequality constraints for the sake of generating candidate parameter sets by Bootstrap algorithm. Then it estimated the BN parameters in the light of the maximum entropy principle. The experimental results show that CDME algorithm learning effects are similar to the classical MLE algorithm when the modeling data size is sufficient. However, when the data size is limited, the parameters of BN can be modeled by using the CDME, and the learnt accuracy is superior to MLE or QMAP algorithm. It also applied CDME to a real fault diagnosis while the data set was relatively scarce. The results of the diagnosis reasoning demonstrate that the presented parameter learning approach is effective. The CDME parameter learning algorithm provides a new modeling way for BN parameter under the small data sets. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Southern Agriculture is the property of Journal of Southern Agriculture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of South China Fisheries Science is the property of South China Fisheries Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The characteristics of Web title are simple, with large amount of information and containing rich, dynamic, complex character relations. This paper focused on character relation extraction of Web title texts. It proposed a kind of machine learning method, called two models voting. First, it extracted and selected features for 19 relation categories. Second, it trained maximum entropy model and support vector machine. Third, for each relationship category, it used voting method which was choosing the model to get better performance in training dataset. Last, it used training models of 19 categories to e-valuate test dataset. Experiments show that sentences character relationship extraction task has achieved an average FI-measure 67. 64%. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Most previous studies on named entity recognition (NER) focus on common names such as persons, organizations, and locations in formal texts. With the development of e-commerce and online advertising, how to recognize product names which are special named entities in informal user-s context becomes more and more important. We design a maximum entropy model to recognize product names from forum posts and explore the impact of various features on the performance. These features include not only traditional features used for NER, but also distributed word representations which are novel ones obtained from the new area of machine learning. We compare the results of the experiments using different feature combinations as inputs. Experiments on the CPROD01 dataset show that the Brown cluster features can improve the accuracy of the product name recognition system. [ABSTRACT FROM AUTHOR]

We focus on the task of the automaic recognkion，which idendfy whether an absent topic of a punctuaion clause is the subject or object of tts previous sentence. We regard tlis task as the pointcut of the automaic recognhion of absent topics in Chinese punctuadon dauses. Several Uteral features and semantic features are summerized to achieve tlis task by combining the rules and the maximum entropy model. Experimental resutts show that F-score of tlis approach reaches 82 % for the sampees of some specfc verbs. Experimental resutts analysts shows that verb features and semantic features play the most important role in the process ； netther ru】es nor statistics can be negeected， and refined knoweedge has great influence on the performance of the recognition. [ABSTRACT FROM AUTHOR]