المؤلفون: Li Qianlong, Feng Qi, Wang Heqin, Kang Yunhai, Zhang Conghe, Du Ming, Zhang Yunhu, Wang Hui, Chen Jinjie, Han Bin, Fang Yu, Wang Ahong

المصدر: Rice Science, Vol 30, Iss 6, Pp 552-566 (2023)

مصطلحات موضوعية: breeding, hybrid rice, phenotype, quantitative trait nucleotide locus, rice genome navigation system, whole-genome sequencing, Plant culture, SB1-1110

الوصف: Germplasm resource innovation is a crucial factor for cultivar development, particularly within the context of hybrid rice breeding based on the three-line system. Quan 9311A, a cytoplasmic male sterile (CMS) line, has been successfully cultivated using rice restoration materials and extensively employed as a female parent in hybrid breeding program in China. This line was developed by crossing the CMS line Zhong 9A with a two-line restorer line 93-11, with the intention of eliminating the restoring ability of 93-11 while retaining the sterility gene WA352c from Zhong 9A. Quan 9311A effectively amalgamates the most favorable agronomic traits from both parental lines. In this study, the relationship between phenotypic characteristics and the known functional genes of Quan 9311A were analyzed using the rice genome navigation technology based on whole-genome sequencing. The findings revealed that Quan 9311A harbors multiple superior alleles from both 93-11 and Zhong 9A, providing exceptional agronomic traits that are unavailable in earlier CMS lines. Despite the removal of the fertility restorer gene Rf3 from 93-11, numerous chromosomal segments from 93-11 persist in the Quan 9311A genome. Furthermore, the hybrid rice Quanyousimiao (QYSM) and the restorer line Wushansimiao (WSSM) were used as examples to illustrate the important role of Quan 9311A as the female parent in heterosis. It was found that QYSM carries a great number of superior alleles, which accounts for its high grain yield and wide adaptability. These insights not only advanced the utilization of hybrid rice pairing groups but also provided guidance for future breeding endeavors. The study introduced innovative concepts to further integrate genomics with traditional breeding techniques. Ultimately, Quan 9311A signified a significant milestone in rice breeding technology, opening up novel avenues for hybrid rice development.

وصف الملف: electronic resource

العلاقة: http://www.sciencedirect.com/science/article/pii/S1672630823000860Test; https://doaj.org/toc/1672-6308Test

الوصول الحر: https://doaj.org/article/a6d7c909fe75476e9f9a57c0339e4954Test

المؤلفون: Zhang, Xiaohan, Dong, Songlin, Chen, Jinjie, Tian, Qi, Gong, Yihong, Hong, Xiaopeng

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

الوصف: In this paper, we focus on a new and challenging decentralized machine learning paradigm in which there are continuous inflows of data to be addressed and the data are stored in multiple repositories. We initiate the study of data decentralized class-incremental learning (DCIL) by making the following contributions. Firstly, we formulate the DCIL problem and develop the experimental protocol. Secondly, we introduce a paradigm to create a basic decentralized counterpart of typical (centralized) class-incremental learning approaches, and as a result, establish a benchmark for the DCIL study. Thirdly, we further propose a Decentralized Composite knowledge Incremental Distillation framework (DCID) to transfer knowledge from historical models and multiple local sites to the general model continually. DCID consists of three main components namely local class-incremental learning, collaborated knowledge distillation among local models, and aggregated knowledge distillation from local models to the general one. We comprehensively investigate our DCID framework by using different implementations of the three components. Extensive experimental results demonstrate the effectiveness of our DCID framework. The codes of the baseline methods and the proposed DCIL will be released at https://github.com/zxxxxh/DCILTest.
Comment: Submitted to IEEE Transactions on Neural Networks and Learning Systems. Revised version

الوصول الحر: http://arxiv.org/abs/2203.05984Test

المؤلفون: CHEN Jinjie, HE Chao, XIAO Xiao, LEI Yinjie

المصدر: Jisuanji kexue, Vol 50, Iss 4, Pp 220-225 (2023)

مصطلحات موضوعية: machine learning, osnr monitoring, modulation format classification, fine-grained image recognition, residual neural network, Computer software, QA76.75-76.765, Technology (General), T1-995

الوصف: In optic fiber communication,traditional optical performance monitoring(OPM) mainly relies on analyzing the time-frequency domain information of the signal.However,conventional methods cannot complete multi-task joint monitoring,so they are less flexible.With the development of machine learning,the monitoring of optical signal modulation format(MF) and optical signal-to-noise ratio(OSNR) based on machine learning have been gradually applied.However,existing methods have low accuracy for OSNR monitoring in complex scenarios because they do not consider the fine-grained characteristics of the signal.This paper proposes a joint monitoring model(FGNet) for optical signal MF and OSNR based on fine-grained constellation identification to solve this problem.Firstly,the backbone feature extraction module uses a deep residual structure.Secondly,a multilayer bilinear pooling module is proposed to perform fine-grained feature analysis on constellation features.Finally,a joint MF and OSNR monitoring module is proposed to realize the feature fusion of MF and OSNR.Extensive experiments with 7 200 constellation maps in the simulation dataset show that the proposed model has achieved superior performance compared to existing methods.

وصف الملف: electronic resource

العلاقة: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-4-220.pdfTest; https://doaj.org/toc/1002-137XTest

الوصول الحر: https://doaj.org/article/39cf8b2bfbf54a71b32388e47f27bfa0Test

المؤلفون: HE Chao, CHEN Jinjie, JIN Zhao, LEI Yinjie

المصدر: Jisuanji kexue, Vol 50, Iss 4, Pp 226-232 (2023)

مصطلحات موضوعية: automatic modulation recognition, cross-modal attention fusion, contrastive learning, residual shrinkage module, complex bidirectional gate recurrent unit, Computer software, QA76.75-76.765, Technology (General), T1-995

الوصف: Automatic modulation recognition (AMR) is a key technology in cognitive radio and has a wide range of applications in wireless communication.Aiming at the problem that most of the existing automatic modulation classification methods only use the single-modal information in the time domain or frequency domain,ignoring the complementarity between the multi-modal information,a signal modulation classification recognition method based on multimodal time-frequency feature fusion is proposed.First,the time-domain features and frequency-domain features of the signal are aligned by contrastive learning before fusion to reduce the heterogeneity difference.Secondly,cross-modal attention is used to achieve complementary fusion of time-domain features and frequency-domain features.Finally,in order to further improve the overall performance of the model,a residual shrin-kage module is introduced into the frequency domain encoder to extract the frequency domain features of the time-frequency map and the complex bidirectional gated recurrent unit is introduced into the time domain encoder to extract the correlation features between the I and Q signals and the time-domain features.Experimental results on RadioML2016a show that the proposed me-thod has higher recognition accuracy and noise robustness.

وصف الملف: electronic resource

العلاقة: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-4-226.pdfTest; https://doaj.org/toc/1002-137XTest

الوصول الحر: https://doaj.org/article/6c5399dac02c48e0a3082623de0cea6eTest

المؤلفون: Schleicher, Filip, Studniarek, Michał, Kumar, Kuppusamy Senthil, Urbain, Etienne, Katcko, Kostantine, Chen, Jinjie, Frauhammer, Timo, Hervé, Marie, Halisdemir, Ufuk, Kandpal, Lalit Mohan, Lacour, Daniel, Riminucci, Alberto, Joly, Loic, Scheurer, Fabrice, Gobaut, Benoit, Choueikani, Fadi, Otero, Edwige, Ohresser, Philippe, Arabski, Jacek, Schmerber, Guy, Wulfhekel, Wulf, Beaurepaire, Eric, Weber, Wolfgang, Boukari, Samy, Ruben, Mario, Bowen, Martin

مصطلحات موضوعية: Physics - Applied Physics

الوصف: One promising route toward encoding information is to utilize the two stable electronic states of a spin crossover molecule. However, while this property is clearly manifested in transport across single molecule junctions, evidence linking charge transport across a solid-state device to the molecular film's spin state has thus far remained indirect. To establish this link, we deploy materials-centric and device-centric operando experiments involving X-ray absorption spectroscopy. We find a correlation between the temperature dependencies of the junction resistance and the Fe spin state within the device's Fe(bpz)2(phen) molecular film. We also factually observe that the Fe molecular site mediates charge transport. Our dual operando studies reveal that transport involves a subset of molecules within an electronically heterogeneous spin crossover film. Our work confers an insight that substantially improves the state-of-the-art regarding spin crossover-based devices, thanks to a methodology that can benefit device studies of other next-generation molecular compounds.
Comment: Typo in the first name of one of the authors updated (Jinje -> Jinjie)

الوصول الحر: http://arxiv.org/abs/1801.10019Test

المؤلفون: Cui, Zhanwei, Chen, Jinjie, Li, Chao, Yin, Yixiao, Hao, Meng

المصدر: Tehnički vjesnik ; ISSN 1330-3651 (Print) ; ISSN 1848-6339 (Online) ; Volume 30 ; Issue 1

مصطلحات موضوعية: carbon emission, emission intensity, high-speed rail, the decoupling of transport turnover

الوصف: It is necessary to provide technical reserves and path guidance for China's carbon neutral strategy, and study the rules of carbon emissions during high-speed rail operation. By comparing the carbon emission coefficient of different kinds of electric power at present, the appropriate carbon emission coefficient of electric power is selected to calculate the carbon emission. In high-speed railway, the boundary of traction power supply system is defined and the carbon emission calculation model of railway traction power supply system is established. The relationship between passenger transport turnover and traction carbon emission is analysed. The new theory is established, which is the decoupling of transport turnover, used in the "H" High-speed Rail. The data of 48 months from the year 2013 to 2016 were calculated and analysed. The indicator -- kgCO2/(per·km) of carbon emissions per passenger turnover appeared to be meaningful for the future, that the average value is 0.037935, the standard deviation is 0.013791. The decoupling model shows the relationship between the growth rate of carbon emissions and the growth rate of turnover about "H" High-speed Rail in different months. It is obvious that April is the best whose increased turnover will not lead to increased carbon emissions; meanwhile, November is the worst.

وصف الملف: application/pdf

العلاقة: https://hrcak.srce.hr/288416Test

الإتاحة: https://doi.org/10.17559/TV-20221011165754Test
https://hrcak.srce.hr/288416Test
https://hrcak.srce.hr/file/417631Test

المؤلفون: Wong, Sandy W., Bar, Noffar, Victoria Mateos, María, Ribas, Paz, Hansson, Markus, Paris, Laura, Hofmeister, Craig, Rodriguez-Otero, Paula, Aranzazu Bermúdez, Maria, Santoro, Armando, Yee, Andrew J., Creignou, Maria, Encinas, Cristina, Cerchione, Claudio, de la Rubia, Javier, Oriol, Albert, Ferstl, Barbara, Besemer, Britta, Chen, Jinjie, Chung, Alexander, Boss, Isaac W., Gaudy, Allison, LI, Shaoyi, Hsu, Kevin, Godwin, Colin, Burgess, Michael R., San-Miguel, Jesús, Jose Costa, Luciano

المصدر: HemaSphere ; volume 7, issue S3, page e1220745 ; ISSN 2572-9241

الإتاحة: https://doi.org/10.1097/01.hs9.0000970436.12207.45Test

المؤلفون: Li, Qingwen, Liu, Yulu, Zhang, Ziheng, Chen, Jinjie, Yang, Zelong, Deng, Qibo, Mumyatov, Alexander V., Troshin, Pavel A., He, Guang, Hu, Ning

المصدر: ENERGY & ENVIRONMENTAL MATERIALS ; volume 7, issue 3 ; ISSN 2575-0356 2575-0356

الوصف: It is well accepted that a lithiophilic interface can effectively regulate Li deposition behaviors, but the influence of the lithiophilic interface is gradually diminished upon continuous Li deposition that completely isolates Li from the lithiophilic metals. Herein, we perform in‐depth studies on the creation of dynamic alloy interfaces upon Li deposition, arising from the exceptionally high diffusion coefficient of Hg in the amalgam solid solution. As a comparison, other metals such as Au, Ag, and Zn have typical diffusion coefficients of 10–20 orders of magnitude lower than that of Hg in the similar solid solution phases. This difference induces compact Li deposition pattern with an amalgam substrate even with a high areal capacity of 55 mAh cm −2 . This finding provides new insight into the rational design of Li anode substrate for the stable cycling of Li metal batteries.

الإتاحة: https://doi.org/10.1002/eem2.12618Test

المؤلفون: Yao, Jincao, Zhang, Yanming, Shen, Jiafei, Lei, Zhikai, Xiong, Jing, Feng, Bojian, Li, Xiaoxian, Li, Wei, Ou, Di, Lu, Yidan, Feng, Na, Yan, Meiying, Chen, Jinjie, Chen, Liyu, Yang, Chen, Wang, Liping, Wang, Kai, Zhou, Jianhua, Liang, Ping, Xu, Dong

المساهمون: National Natural Science Foundation of China

المصدر: iScience ; volume 26, issue 11, page 108114 ; ISSN 2589-0042

مصطلحات موضوعية: Multidisciplinary

الإتاحة: https://doi.org/10.1016/j.isci.2023.108114Test
https://api.elsevier.com/content/article/PII:S2589004223021910?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2589004223021910?httpAccept=text/plainTest

المؤلفون: Li, Yang, Chen, Jinjie, Wang, Jianxi, Kaewunruen, Sakdirat

المصدر: Developments in the Built Environment ; volume 15, page 100204 ; ISSN 2666-1659

مصطلحات موضوعية: Computer Graphics and Computer-Aided Design, Computer Science Applications, Materials Science (miscellaneous), Building and Construction, Civil and Structural Engineering, Architecture

الإتاحة: https://doi.org/10.1016/j.dibe.2023.100204Test
https://api.elsevier.com/content/article/PII:S2666165923000868?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2666165923000868?httpAccept=text/plainTest