Resource Type

Journal Article 13

Year

2023 1

2022 1

2020 1

2019 3

2018 1

2014 1

2011 1

2010 1

2009 2

2007 1

open ︾

Keywords

RFWD3 1

Antarctic microbial mats 1

Antibiotic resistance coding genes 1

Beta-lactamases 1

Brain encoding and decoding 1

Controller area network 1

Deep generative models 1

Deep neural networks 1

Difference of Gaussian (DoG) 1

Dual learning 1

Errors 1

Flip invariance 1

Functional 1

Functional magnetic resonance imaging 1

Message delay 1

Metagenomes 1

NSCLC 1

Probability distribution 1

Receptive field 1

open ︾

Search scope:

排序： Display mode:

The study on general design framework and message encoding ofweather hazards warning information broadcasting

Zhang Di,Li Zechun,Shi Peiliang,Wang Xuechen

Strategic Study of CAE 2009, Volume 11, Issue 9,   Pages 8-12

Abstract: System based on Digital Audio Broadcasting technology and provides a digital format of Weather Warning messageencoding by conducting research on weather hazards warning message encoding.

Keywords： weather hazards     warning information broadcasting system     message encoding     digital audio broadcasting    

HTML PDF Collect

New Year’s Message for 2022

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 1,   Pages 14-14 doi: 10.1007/s11783-022-1538-3

Abstract: 2022 marks the 15th anniversary of the journal of Frontiers of Environmental Science & Engineering (FESE). To date, FESE has received more than 5500 submissions from more than 80 countries and our acceptance rate is ~20%. FESE has also been providing a communication and development platform by increasing its editorial board, organizing conferences, and setting up awards. We are grateful for the support from authors, reviewers, readers, and editorial colleagues to jointly make FESE an internationally recognized journal in the Environmental Science and Engineering field. FESE is becoming an important and irreplaceable forum on environmental issues. Nowadays, environmental issues have attracted tremendous attention and they call for solutions to combat pollution, to achieve carbon neutrality, to tackle climate change, and to promote sustainable development. Accordingly, research is tackling more complex challenges and FESE is conveying knowledge and technological solutions to address these challenges. FESE will implement several new initiatives in 2022. First, FESE will further increase the quality of its publications and its services to the Environmental Science and Engineering community. Second, FESE will publish articles in a more timely fashion by publishing them on a monthly basis. Third, we will introduce a new article style, “Opinion,” that will broaden our perspectives and focus. Fourth, we have been launching the first Young Talent Award which will recognize promising investigators. 2022 will certainly be a year full of passion and expectations. Hereby, we hope that FESE will march toward a higher level with the hard work from editorial board members and editorial office, the continuous support from authors and reviewers, and the close collaborations among Chinese Academy of Engineering, Tsinghua University, Higher Education Press, Springer, and other organizations. Finally, we wish you all a happy, healthy, and fruitful 2022!
HTML PDF Collect

New Year’s Message for 2023

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1613-4

HTML PDF Collect

Message from the Editor

Yi QIAN,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1,   Pages 1-1 doi: 10.1007/s11783-010-1000-9

Abstract:
HTML PDF Collect

Message from the Editor

Jingkang WANG

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 1,   Pages 1-1 doi: 10.1007/s11705-010-0530-9

HTML PDF Collect

Identification of an E3 ligase-encoding gene

Yanfei Zhang, Xinchun Zhao, Yongchun Zhou, Min Wang, Guangbiao Zhou

Frontiers of Medicine 2020, Volume 14, Issue 3,   Pages 318-326 doi: 10.1007/s11684-019-0708-6

Abstract: In order to unveil ubiquitin pathway genes (UPGs) that are essential for non-small cell lung cancer (NSCLC) cell proliferation, we recently conducted a siRNA screening experiment to knockdown the expression of 696 UPGs found in the human genome in A549 and H1975 NSCLC cells. We found that silencing of one of the candidates, that encodes an E3 ubiquitin ligase essential for the repair of DNA interstrand cross-links in response to DNA damage, led to dramatic inhibition of NSCLC cell proliferation with significant -scores. Knockdown of suppressed colony forming activity of NSCLC cells. We further evaluated the significance of in NSCLCs and found that this gene was more elevated in tumor samples than in paired normal lung tissues and was inversely associated with the clinical outcome of patients with NSCLC. Moreover, expression was significantly higher in smokers than in non-smokers. These results show for the first time that is required for NSCLC cell proliferation and may have an important role in lung carcinogenesis.

Keywords： RFWD3     NSCLC     prognosis     tobacco smoke    

HTML PDF Collect

Message delay time distribution analysis for controller area network under errors Research Papers

Lei-ming ZHANG, Yi-chao SUN, Yong LEI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 760-772 doi: 10.1631/FITEE.1700815

Abstract: understand the network behavior under errors for the optimal design of networked control systems, the messageIn this method the complex message queues are decomposed into typical message patterns and cases.Then the message delay time distribution for the single slave node configuration is analyzed based onbased on the delay time distribution analysis of typical patterns and cases, an analysis framework of message

Keywords： Controller area network     Message delay     Probability distribution     Errors    

HTML PDF Collect

effects on murine pancreatic carcinoma by β-elemene combined with dendritic cells modified with genes encoding

TAN Guang, WANG Zhongyu, CHE Luanqing, YIN Shuo

Frontiers of Medicine 2007, Volume 1, Issue 1,   Pages 41-45 doi: 10.1007/s11684-007-0008-4

Abstract: The dendritic cell vaccine is a treatment vaccine with potent clinical applications. Functional cytokines can enhance dendritic cell anti-tumor immune responses. This experiment was conducted to study the effects of bone marrow-deriv

Keywords： Functional     experiment     anti-tumor     dendritic     clinical    

HTML PDF Collect

Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models Review

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Engineering 2019, Volume 5, Issue 5,   Pages 948-953 doi: 10.1016/j.eng.2019.03.010

Abstract:

Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspectsAlthough previous researchers have made significant advances in brain encoding and decoding models, existingFor example, traditional methods usually build the encoding and decoding models separately, and are proneIn fact, effectively unifying the encoding and decoding procedures may allow for more accurate predictionsIn this paper, we first review the existing encoding and decoding methods and discuss
the potential

Keywords： Brain encoding and decoding     Functional magnetic resonance imaging     Deep neural networks     Deep generative    

HTML PDF Collect

Detection of presumed genes encoding beta-lactamases by sequence based screening of metagenomes derived

Gastón Azziz, Matías Giménez, Héctor Romero, Patricia M. Valdespino-Castillo, Luisa I. Falcón, Lucas A. M. Ruberto, Walter P. Mac Cormack, Silvia Batista

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 3, doi: 10.1007/s11783-019-1128-1

Abstract:

• Beta-lactamase genes were found in all samples from distant places in Antarctica.

• Class C beta-lactamase coding genes were the most frequently found.

• Diversity of sequences exceeds that of the beta-lactamases from clinical environment.

Keywords： Beta-lactamases     Antibiotic resistance coding genes     Metagenomes     Antarctic microbial mats    

HTML PDF Collect

Construction and expression of hepatitis B virus vector encoding TC-tagged core protein

Yuanyuan LIN MD, Xiaoming CHENG MS, Yuhu SONG MD, Peiyuan LI MD, Ying CHANG MM, Jinjian YAO MD, Jusheng LIN MD, PhD, Li ZHOU PhD, Leiming XU PhD,

Frontiers of Medicine 2009, Volume 3, Issue 4,   Pages 396-402 doi: 10.1007/s11684-009-0056-z

Abstract: In this study, we constructed a recombinant HBV vector encoding TC-tagged core protein for biarsenical

Keywords： hepatitis B virus     vector     tetracysteine tag     core protein    

HTML PDF Collect

Quantum coding genetic algorithm based on frog leaping

Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 108-112

Abstract:

The determinations of the rotation phase of quantum gates and mutation probability are the two main issues that restrict the efficiency of quantum genetic algorithm. This paper presents a quantum real coding genetic algorithm（QRGA）. QRGA used an adaptive means to adjust the direction and the size of the rotation angle of quantum rotation gate. In order to ensure the direction of evolution and population diversity，the mutation probability is guided based on the step of frog leaping algorithm which quantified by fuzzy logic. Comparative experimental results show that the algorithm can avoid falling into part optimal solution and astringe to the global optimum solution quickly，which has achieved good results in the running time and performance of the solution.

Keywords： quantum encoding     quantum genetic algorithm     frog leaping algorithm     swarm intelligence    

HTML PDF Collect

Anovel spiking neural network of receptive field encoding with groups of neurons decision Article

Yong-qiang MA, Zi-ru WANG, Si-yu YU, Ba-dong CHEN, Nan-ning ZHENG, Peng-ju REN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 139-150 doi: 10.1631/FITEE.1700714

Abstract: Human information processing depends mainly on billions of neurons which constitute a complex neural network, and the information is transmitted in the form of neural spikes. In this paper, we propose a spiking neural network (SNN), named MD-SNN, with three key features: (1) using receptive field to encode spike trains from images; (2) randomly selecting partial spikes as inputs for each neuron to approach the absolute refractory period of the neuron; (3) using groups of neurons to make decisions. We test MD-SNN on the MNIST data set of handwritten digits, and results demonstrate that: (1) Different sizes of receptive fields influence classification results significantly. (2) Considering the neuronal refractory period in the SNN model, increasing the number of neurons in the learning layer could greatly reduce the training time, effectively reduce the probability of over-fitting, and improve the accuracy by 8.77%. (3) Compared with other SNN methods, MD-SNN achieves a better classification; compared with the convolution neural network, MD-SNN maintains flip and rotation invariance (the accuracy can remain at 90 44% on the test set), and it is more suitable for small sample learning (the accuracy can reach 80 15% for 1000 training samples, which is 7.8 times that of CNN).

Keywords： Tempotron     Receptive field     Difference of Gaussian (DoG)     Flip invariance     Rotation invariance    

HTML PDF Collect

Title Author Date Type Operation

The study on general design framework and message encoding ofweather hazards warning information broadcasting

Zhang Di,Li Zechun,Shi Peiliang,Wang Xuechen

Journal Article

New Year’s Message for 2022

Journal Article

New Year’s Message for 2023

Journal Article

Message from the Editor

Yi QIAN,

Journal Article

Message from the Editor

Jingkang WANG

Journal Article

Identification of an E3 ligase-encoding gene

Yanfei Zhang, Xinchun Zhao, Yongchun Zhou, Min Wang, Guangbiao Zhou

Journal Article

Message delay time distribution analysis for controller area network under errors

Lei-ming ZHANG, Yi-chao SUN, Yong LEI

Journal Article

effects on murine pancreatic carcinoma by β-elemene combined with dendritic cells modified with genes encoding

TAN Guang, WANG Zhongyu, CHE Luanqing, YIN Shuo

Journal Article

Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Journal Article

Detection of presumed genes encoding beta-lactamases by sequence based screening of metagenomes derived

Gastón Azziz, Matías Giménez, Héctor Romero, Patricia M. Valdespino-Castillo, Luisa I. Falcón, Lucas A. M. Ruberto, Walter P. Mac Cormack, Silvia Batista

Journal Article

Construction and expression of hepatitis B virus vector encoding TC-tagged core protein

Yuanyuan LIN MD, Xiaoming CHENG MS, Yuhu SONG MD, Peiyuan LI MD, Ying CHANG MM, Jinjian YAO MD, Jusheng LIN MD, PhD, Li ZHOU PhD, Leiming XU PhD,

Journal Article

Quantum coding genetic algorithm based on frog leaping

Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende

Journal Article

Anovel spiking neural network of receptive field encoding with groups of neurons decision

Yong-qiang MA, Zi-ru WANG, Si-yu YU, Ba-dong CHEN, Nan-ning ZHENG, Peng-ju REN

Journal Article