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Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing [article]

Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Leye Wang, Zhaopeng Qiu
<span title="2018-05-22">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Cos(), F () J(), F () Cos(), Linear J(), Linear Brightkite 0.729 0.727 0.710 0.698 Gowalla 0.701 0.700 0.690 0.688 Jiangtao Wang Jiangtao Wang received his Ph.D. degree in Peking University  ...  Daqing Zhang • Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, and Zhaopeng Qiu are with School of EECS, Peking University, Beijing; E-mail: jiangtaowang@pku.edu.cn; • Leye Wang is with Hong Kong University  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.08525v1">arXiv:1805.08525v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tfeibluxunajddebq7evd4mfqy">fatcat:tfeibluxunajddebq7evd4mfqy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200826171653/https://arxiv.org/pdf/1805.08525v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/84/94/8494307b313a9e4023f83f94865ccd017be28cdd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.08525v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing [article]

Jiangtao Wang, Feng Wang, Yasha Wang, Leye Wang, Zhaopeng Qiu, Daqing Zhang, Bin Guo, Qin Lv
<span title="2018-05-22">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Wang Jiangtao Wang received his Ph.D. degree in Peking University, Beijing, China, in 2015.  ...  Jiangtao Wang, Feng Wang, Zhaopeng Qiu and Daqing Zhang are with School of EECS, Peking University, Beijing; Yasha Wang (corresponding author) is with National Engineering Research Center of Software Engineering  ...  Yasha Wang Yasha Wang received his Ph.D. degree in Northeastern University, Shenyang, China, in 2003.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.08480v1">arXiv:1805.08480v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gc7hkvdbvzbbfdmg6rjcxntam4">fatcat:gc7hkvdbvzbbfdmg6rjcxntam4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930181422/https://arxiv.org/pdf/1805.08480v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bb/21/bb2108884d7082334496520da20d7fd96ecc14f6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.08480v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Taskallocationbasedonnodepairintimacyinwirelesssensornetworks

Guisong Yang, Zhao Zhang, Jiangtao Wang, Xingyu He
<span title="2020-04-07">2020</span> <i title="Institution of Engineering and Technology (IET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hilohscapjgk3kxfrc3gt64bvm" style="color: black;">IET Communications</a> </i> &nbsp;
Resourced-constrained task allocation is a fundamental research problem in wireless sensor networks. While existing approaches mainly allocate the task to a single sensor node, this study proposes a novel algorithm, in which tasks are allocated to a pair of collaboratively working sensor nodes based on their intimacy. Specifically, the intimacy level of two nodes is modelled based on their link quality and preference degree. This basic idea is that each node pair should be allocated with a task
more &raquo; ... whose task level (e.g. measured by the computing intensity) could match with the intimacy level of this node pair, so that each task can be executed collaboratively and efficiently. Considering that a node connecting with multiple nodes, it may be allocated with redundant tasks (tasks with the same task level), and these tasks need to be adjusted to avoid redundant task execution. Simulation results show that the proposed algorithm not only can improve the task allocation efficiency but also can balance the network energy consumption.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/iet-com.2019.0835">doi:10.1049/iet-com.2019.0835</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6golpoudgfgshgj5tfe67vfknu">fatcat:6golpoudgfgshgj5tfe67vfknu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715073623/https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-com.2019.0835" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c9/c4/c9c4c931a2abe0e0d817b71d6f688917312e425b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/iet-com.2019.0835"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Designing Binary Sequence Set with Optimized Correlation Properties via ADMM Approach [article]

Jiangtao Wang, Yongchao Wang
<span title="2021-10-06">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we design low correlation binary sequences favorable in wireless communication and radar applications. First, we formulate the designing problem as a nonconvex combination optimization problem with flexible correlation interval; second, by relaxing constraints and introducing auxiliary variables, the original minimization problem is equivalent to a consensus continuous optimization problem; third, to achieve its good approximate solution efficiently, we propose the distributed
more &raquo; ... cutable algorithms based on alternating direction method of multipliers (ADMM); fourth, we prove that the proposed ADMM algorithms can converge to some stationary point of the approximate problem. Moreover, the computational complexity analysis is considered. Simulation results demonstrate that the proposed ADMM approaches outperform state-of-the-art ones in either computational cost or selection of correlation interval of the designed binary sequences.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.02560v1">arXiv:2110.02560v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m7df23hihbgd5gj2ms5q76p6za">fatcat:m7df23hihbgd5gj2ms5q76p6za</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211009094801/https://arxiv.org/pdf/2110.02560v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7b/c0/7bc0a5b426c9a918d5581332620c8b7e9ad24618.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.02560v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Funmap2: an R package for QTL mapping using longitudinal phenotypes [article]

Nating Wang, Tinyi Chu, Jiangtao Luo, Rongling Wu, Zhong Wang
<span title="2017-12-11">2017</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
et al. 2013b) , drug response (Wang et al 2013b) , and morphological shape (Fu et al. 2013) .  ...  Then, the QTLs which are highly correlated with the outcome were computed in the improved permutation tests (Wang et al, 2017) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/231928">doi:10.1101/231928</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wxyyrrdysfenlk2uzjotgmdqvu">fatcat:wxyyrrdysfenlk2uzjotgmdqvu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501055004/https://www.biorxiv.org/content/biorxiv/early/2018/10/24/231928.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/ba/75ba760361d799cf5316ad56774f4d88d8fc6e5b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/231928"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Detection of triple JPEG compressed color images

Hao Wang, Jinwei Wang, Jiangtao Zhai, Xiangyang Luo
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In order to extend the detection of JPEG compressed color images to solve the real-life problem, three-class classification forensics of JPEG compressed color images with the same quantization matrix is proposed. Since the previous methods treat detection of JPEG compressed color images as binary classification and JPEG compression with the same quantization matrix leaves slight tracks, three-class classification forensics of JPEG compressed color images with the same quantization matrix is a
more &raquo; ... w and challenging problem. In this paper, two aspects are considered to solve this problem. First, if images are compressed, rounding and truncation error will occur. Thus, preprocessing of images is performed to extract error to highlight statistical difference which can help to classify. Second, the support vector machine (SVM) algorithm is originally designed for the binary classification problem, so dealing with a three-class problem, it is necessary to reconstruct a suitable three-class classifier. Besides, convolutional neural network (CNN) parallelly deal with three channels of the color image. The relationship of the three channels is terminated. However, quaternion convolutional neural network (QCNN) which utilizes quaternion algebra not only is directly used to three-class classification but also retain the relationship between three channels. Experimental results demonstrate that the proposed method achieves good performance and is better than the state-of-the-art approaches investigated. INDEX TERMS Three-class classification, the color image, same quantization matrix, rounding and truncation error, quaternion convolutional neural network. 113094 This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/ VOLUME 7, 2019
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2934160">doi:10.1109/access.2019.2934160</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bpmxewig7ngw5hseejw7j3nv6m">fatcat:bpmxewig7ngw5hseejw7j3nv6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429064223/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08793126.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2f/c6/2fc62bd3f080bbc48506c545a0abe64d04c6f938.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2934160"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Zero-sum invariants of finite abelian groups [article]

Weidong Gao, Yuanlin Li, Jiangtao Peng, Guoqing Wang
<span title="2017-02-02">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The purpose of the article is to provide an unified way to formulate zero-sum invariants. Let G be a finite additive abelian group. Let B(G) denote the set consisting of all nonempty zero-sum sequences over G. For Ω⊂ B(G), let d_Ω(G) be the smallest integer t such that every sequence S over G of length |S|≥ t has a subsequence in Ω.We provide some first results and open problems on d_Ω(G).
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1702.00807v1">arXiv:1702.00807v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eg7utjsq4rew7o26tszsiafani">fatcat:eg7utjsq4rew7o26tszsiafani</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191019230805/https://arxiv.org/pdf/1702.00807v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/9c/d79ce628d289c51914a7a5637d186dde86ebfc95.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1702.00807v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Active crowd sensing

Zhiyong Yu, Jiangtao Wang, Jordán Pascual Espada
<span title="2021-04-19">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yubpzzxtazfhzllyyxylnnu7ru" style="color: black;">Personal and Ubiquitous Computing</a> </i> &nbsp;
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00779-021-01564-x">doi:10.1007/s00779-021-01564-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iwdlqfwzergszgsklzzalxslbm">fatcat:iwdlqfwzergszgsklzzalxslbm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718051715/https://link.springer.com/content/pdf/10.1007/s00779-021-01564-x.pdf?error=cookies_not_supported&amp;code=8f0e8c0c-683a-44a1-98fc-37721dec4d97" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9c/2d/9c2ddc9603ab9763cbd3c714435ea75f2744a2e7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00779-021-01564-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Dy3+-doped LiYF4 crystals for UV-excited white light-emitting diodes

Lei Tang Lei Tang, Haiping Xia Haiping Xia, Peiyuan Wang Peiyuan Wang, Jiangtao Peng Jiangtao Peng, Haochuan Jiang Haochuan Jiang
<span title="">2013</span> <i title="Shanghai Institute of Optics and Fine Mechanics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5667mgykqjd37mzltw2mhg253m" style="color: black;">Chinese Optics Letters (COL)</a> </i> &nbsp;
A Dy 3+ -doped LiYF4 single crystal capable of generating white light by simultaneous blue and yellow light emission of phosphorescent centers is produced. Chromaticity coordinates and photoluminescence intensity vary with excitation wavelength. Under 350, 365, and 388 nm excitation, the crystal shows excellent white light emission. The most efficient wavelength for white light is 388 nm. The CIE coordinates are x=0.316 and y =0.321, and the color temperature (Tc) is 6 368 K. These results
more &raquo; ... ate that the studied crystal is a potential candidate for ultraviolet light-excited white light-emitting diodes.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3788/col201311.061603">doi:10.3788/col201311.061603</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/imn2daqymffwteizpg2an3c2fu">fatcat:imn2daqymffwteizpg2an3c2fu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20131002021317/http://opticsjournal.net/viewFull.htm?aid=OJ130531000079Zw3y6B" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d8/96/d89664332ec494ded9dfaa46f1d1a2e16daea7e8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3788/col201311.061603"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions [article]

Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang
<span title="2018-11-01">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Drug-drug interactions (DDIs) are a major cause of preventable hospitalizations and deaths. Predicting the occurrence of DDIs helps drug safety professionals allocate investigative resources and take appropriate regulatory action promptly. Traditional DDI prediction methods predict DDIs based on the similarity between drugs. Recently, researchers revealed that predictive performance can be improved by better modeling the interactions between drug pairs with bilinear forms. However, the shallow
more &raquo; ... odels leveraging bilinear forms suffer from limitations on capturing complicated nonlinear interactions between drug pairs. To this end, we propose Multi-Label Robust Factorization Autoencoder (abbreviated to MuLFA) for DDI prediction, which learns a representation of interactions between drug pairs and has the capability of characterizing complicated nonlinear interactions more precisely. Moreover, a novel loss called CuXCov is designed to effectively learn the parameters of MuLFA. Furthermore, the decoder is able to generate high-risk chemical structures of drug pairs for specific DDIs, assisting pharmacists to better understand the relationship between drug chemistry and DDI. Experimental results on real-world datasets demonstrate that MuLFA consistently outperforms state-of-the-art methods; particularly, it increases 21:3% predictive performance compared to the best baseline for top 50 frequent DDIs.We also illustrate various case studies to demonstrate the efficacy of the chemical structures generated by MuLFA in DDI diagnosis.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.00208v1">arXiv:1811.00208v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/arif26tfnndcne33tehtyhkfoi">fatcat:arif26tfnndcne33tehtyhkfoi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200824064614/https://arxiv.org/pdf/1811.00208v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/88/f9/88f926bc25cf70595b3e6e196361d42acdd65ce8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.00208v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Designing Unimodular Sequences with Optimized Auto/cross-correlation Properties via Consensus-ADMM/PDMM Approaches [article]

Yongchao Wang, Jiangtao Wang
<span title="2019-07-14">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Unimodular sequences with good auto/cross-correlation properties are favorable in wireless communication and radar applications. In this paper, we focus on designing these kinds of sequences. The main content is as follows: first, we formulate the designing problem as a quartic polynomial minimization problem with constant modulus constraints; second, by introducing auxiliary phase variables, the polynomial minimization problem is equivalent to a consensus nonconvex optimization problem; third,
more &raquo; ... to achieve its good approximate solution efficiently, we propose two efficient algorithms based on alternating direction method of multipliers (ADMM) and parallel direction method of multipliers (PDMM); fourth, we prove that the consensus-ADMM algorithm can converge to some stationary point of the original nonconvex problem and consensus-PDMM's output is some stationary point of the original nonconvex problem if it is convergent. Moreover, we also analyze the nonconvex optimization model's local optimality and computational complexity of the proposed consensus-ADMM/PDMM approaches. Simulation results demonstrate that the proposed ADMM/PDMM approaches outperform state-of-the-art ones in either computational cost or correlation properties of the designed unimodular sequences.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1907.06227v1">arXiv:1907.06227v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gx2cxbby4jafpbpkfdjlw54y2m">fatcat:gx2cxbby4jafpbpkfdjlw54y2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191222112147/https://arxiv.org/pdf/1907.06227v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3b/04/3b04c5a931f1240adb5e711064ace196b7ebbf65.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1907.06227v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Horizontal gene transfer in an acid mine drainage microbial community

Jiangtao Guo, Qi Wang, Xiaoqi Wang, Fumeng Wang, Jinxian Yao, Huaiqiu Zhu
<span title="2015-07-04">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4srzxifvfrdlhjhg3dimznkp7m" style="color: black;">BMC Genomics</a> </i> &nbsp;
Horizontal gene transfer (HGT) has been widely identified in complete prokaryotic genomes. However, the roles of HGT among members of a microbial community and in evolution remain largely unknown. With the emergence of metagenomics, it is nontrivial to investigate such horizontal flow of genetic materials among members in a microbial community from the natural environment. Because of the lack of suitable methods for metagenomics gene transfer detection, microorganisms from a low-complexity
more &raquo; ... nity acid mine drainage (AMD) with near-complete genomes were used to detect possible gene transfer events and suggest the biological significance. Results: Using the annotation of coding regions by the current tools, a phylogenetic approach, and an approximately unbiased test, we found that HGTs in AMD organisms are not rare, and we predicted 119 putative transferred genes. Among them, 14 HGT events were determined to be transfer events among the AMD members. Further analysis of the 14 transferred genes revealed that the HGT events affected the functional evolution of archaea or bacteria in AMD, and it probably shaped the community structure, such as the dominance of G-plasma in archaea in AMD through HGT. Conclusions: Our study provides a novel insight into HGT events among microorganisms in natural communities. The interconnectedness between HGT and community evolution is essential to understand microbial community formation and development.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12864-015-1720-0">doi:10.1186/s12864-015-1720-0</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26141154">pmid:26141154</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4490635/">pmcid:PMC4490635</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rawejgsgzng73ngripzp7ovjhq">fatcat:rawejgsgzng73ngripzp7ovjhq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830131452/https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-015-1720-0?site=http://bmcgenomics.biomedcentral.com" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/67/09/67099682a16a57ed991a33b3686fb26da5e71f8b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12864-015-1720-0"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4490635" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Power Transformer Spatial Acoustic Radiation Characteristics Analysis under Multiple Operating Conditions

Liming Ying, Donghui Wang, Jinwei Wang, Guodong Wang, Xiaowen Wu, Jiangtao Liu
<span title="2018-01-01">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a2yvk5xhdnhpxjnk6yd33uudqq" style="color: black;">Energies</a> </i> &nbsp;
Jinwei Wang and Guodong Wang finished text revising and program designing. Data collection at worksite and data processing were completed by Xiaowen Wu and Jiangtao Liu.  ...  Doctor Candidate Donghui Wang transformed idea into specific steps, completed the work of numerical experimental design, data analysis and interpretation and drafted the article.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/en11010074">doi:10.3390/en11010074</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4ig4dc7sbnhyhppkrb3f72l4ia">fatcat:4ig4dc7sbnhyhppkrb3f72l4ia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726110440/https://res.mdpi.com/def50200dc6a37056b2ecd0375df578831e56801e1d5e77a484642063966ede75df0e65722cb1f1ea55cf5f08676840407b20fbba17b15478306361449216318f8ce63dac394b425f3b94e5bbf0b6a9bee265b0a8d97df6beb109669cc6d51c358adf05f8b39f4a8759fbd62b0ca72cb8b3f7c307d8ee9f4cc9ddf34ae571ffd5eadde4548ccbf9db418efea51c5f55f8c2def?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b2/5b/b25b09b8b867b5cabc548e1113091774957100de.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/en11010074"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Storage Assignment Optimization in Robotic Mobile Fulfillment Systems

Ruiping Yuan, Juntao Li, Wei Wang, Jiangtao Dou, Luke Pan, Long Wang
<span title="2021-11-25">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y3fh56bfunh5fgneywwba6d4ke" style="color: black;">Complexity</a> </i> &nbsp;
Robotic mobile fulfillment system (RMFS) is a new type of parts-to-picker order picking system, where robots carry inventory pods to stationary pickers. Because of the difference in working mode, traditional storage assignment methods are not suitable for this new kind of picking system. This paper studies the storage assignment optimization of RMFS, which is divided into products assignment stage and pods assignment stage. In the products assignment stage, a mathematical model maximizing the
more &raquo; ... tal correlation of products in the same pods is established to reduce the times of pod visits, and a scattered storage policy is adopted to reduce system congestion. A heuristic algorithm is designed to solve the model. In the pods assignment stage, a model is established minimizing the total picking distance of the mobile robots considering the turnover rate and the correlation of pods as well as the workload balance among picking corridors. A two-stage hybrid algorithm combining greedy algorithm and improved simulated annealing is designed to solve the model. Finally, a simulation experiment is carried out based on the historical order data of an e-commerce company. Results show that the storage assignment method proposed in the paper significantly improves the efficiency of order picking.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/4679739">doi:10.1155/2021/4679739</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/peomdy5k2jaedo2hkrodo56yuy">fatcat:peomdy5k2jaedo2hkrodo56yuy</a> </span>
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Sub-diffraction-limit Observation Realized by Nonlinear Metamaterial Lens [article]

Zhiyu Wang, Yu Luo, Liang Peng, Jiangtao Huangfu, Tao Jiang, Dongxing Wang, Hongsheng Chen, Lixin Ran
<span title="2009-05-03">2009</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we show by experiment that by covering a thin flat nonlinear lens on the sources, the sub-diffraction-limit observation can be achieved by measuring either the near-field distribution or the far-field radiation of the sources at the harmonic frequencies and calculating the inverse Fourier transformation to obtain the sub-wavelength imaging. Especially, the sub-wavelength image calculated from measured far-field data demonstrates very clear resolution. Since metamaterials included
more &raquo; ... with active elements can easily behave strong nonlinearity under very weak incident electromagnetic powers, the application of the nonlinear lens proposed in this paper would have important potential in improving the sub-wavelength resolution in the near future.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/0905.0263v1">arXiv:0905.0263v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ewlhswrjijhshf77tmmjumdjge">fatcat:ewlhswrjijhshf77tmmjumdjge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200909024513/https://arxiv.org/ftp/arxiv/papers/0905/0905.0263.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c0/17/c0174435e5805a560bd563e14a0268c9815b3299.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/0905.0263v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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