{"results":[{"id":"ss_1aa57fd9f06e73c5fb05f070cc88b2f7cc3aa6d3","title":"Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling","authors":[{"name":"T. Dinh"},{"name":"Jianhua Tang"},{"name":"Q. La"},{"name":"Tony Q. S. Quek"}],"abstract":"","source":"Semantic Scholar","year":2017,"language":"en","subjects":["Computer Science"],"doi":"10.1109/TCOMM.2017.2699660","url":"https://www.semanticscholar.org/paper/1aa57fd9f06e73c5fb05f070cc88b2f7cc3aa6d3","is_open_access":true,"citations":842,"published_at":"","score":86.25999999999999},{"id":"ss_eb68044d9c1e4f468141ad5cbe7a4cb100681776","title":"Effect of Chemical Oxidation on the Structure of Single-Walled Carbon Nanotubes","authors":[{"name":"Jin Zhang"},{"name":"Hongling Zou"},{"name":"Q. Qing"},{"name":"Yanlian Yang"},{"name":"Qingwen Li"},{"name":"Zhongfan Liu"},{"name":"Xinyong Guo"},{"name":"Z. Du"}],"abstract":"","source":"Semantic Scholar","year":2003,"language":"en","subjects":["Chemistry"],"doi":"10.1021/JP027500U","url":"https://www.semanticscholar.org/paper/eb68044d9c1e4f468141ad5cbe7a4cb100681776","is_open_access":true,"citations":1096,"published_at":"","score":80},{"id":"ss_1cc50536e9f3c0d0d3056beb5eadb9cce2309a20","title":"Future Physics Programme of BESIII","authors":[{"name":"M. Ablikim"},{"name":"M. Achasov"},{"name":"P. Adlarson"},{"name":"S. Ahmed"},{"name":"M. Albrecht"},{"name":"M. Alekseev"},{"name":"A. Amoroso"},{"name":"F. An"},{"name":"Q. An"},{"name":"Y. Bai"},{"name":"O. Bakina"},{"name":"R. Ferroli"},{"name":"Y. Ban"},{"name":"K. Begzsuren"},{"name":"J. Bennett"},{"name":"N. Berger"},{"name":"M. Bertani"},{"name":"D. Bettoni"},{"name":"F. Bianchi"},{"name":"J. Biernat"},{"name":"J. Bloms"},{"name":"I. Boyko"},{"name":"R. Briere"},{"name":"L. Calibbi"},{"name":"H. Cai"},{"name":"X. Cai"},{"name":"A. Calcaterra"},{"name":"G. Cao"},{"name":"N. Cao"},{"name":"S. Cetin"},{"name":"J. Chai"},{"name":"J. Chang"},{"name":"W. Chang"},{"name":"J. Charles"},{"name":"G. Chelkov"},{"name":"Chen"},{"name":"G. Chen"},{"name":"H. Chen"},{"name":"J. Chen"},{"name":"M. Chen"},{"name":"S. Chen"},{"name":"Y. Chen"},{"name":"H. Y. Cheng"},{"name":"W. Cheng"},{"name":"G. Cibinetto"},{"name":"F. Cossio"},{"name":"X. Cui"},{"name":"H. Dai"},{"name":"J. Dai"},{"name":"X. Dai"},{"name":"A. Dbeyssi"},{"name":"D. Dedovich"},{"name":"Z. Deng"},{"name":"A. Denig"},{"name":"I. Denysenko"},{"name":"M. Destefanis"},{"name":"S. Eidelman"},{"name":"S. Descotes-Genon"},{"name":"F. Mori"},{"name":"Y. Ding"},{"name":"C. Dong"},{"name":"J. Dong"},{"name":"L. Dong"},{"name":"M. Dong"},{"name":"Z. Dou"},{"name":"S. Du"},{"name":"J. Fan"},{"name":"J. Fang"},{"name":"S. Fang"},{"name":"Y. Fang"},{"name":"R. Farinelli"},{"name":"L. Fava"},{"name":"F. Feldbauer"},{"name":"G. Felici"},{"name":"C. Feng"},{"name":"M. Fritsch"},{"name":"C. Fu"},{"name":"Y. Fu"},{"name":"Q. Gao"},{"name":"X. Gao"},{"name":"Y. Gao"},{"name":"Y. Gao"},{"name":"Z. Gao"},{"name":"B. Garillon"},{"name":"I. Garzia"},{"name":"E. Gersabeck"},{"name":"A. Gilman"},{"name":"K. Goetzen"},{"name":"L. Gong"},{"name":"W. Gong"},{"name":"W. Gradl"},{"name":"M. Greco"},{"name":"L. Gu"},{"name":"M. Gu"},{"name":"Y. Gu"},{"name":"A. Guo"},{"name":"F. Guo"},{"name":"L. Guo"},{"name":"R. Guo"},{"name":"Y. Guo"},{"name":"A. Guskov"},{"name":"S. Han"},{"name":"X. Hao"},{"name":"F. Harris"},{"name":"K. He"},{"name":"F. Heinsius"},{"name":"T. Held"},{"name":"Y. Heng"},{"name":"Y. Hou"},{"name":"Z. Hou"},{"name":"H. Hu"},{"name":"J. Hu"},{"name":"T. Hu"},{"name":"Y. Hu"},{"name":"G. Huang"},{"name":"J. Huang"},{"name":"X. Huang"},{"name":"X. Huang"},{"name":"Z. Huang"},{"name":"N. Huesken"},{"name":"T. Hussain"},{"name":"W. Andersson"},{"name":"W. Imoehl"},{"name":"M. Irshad"},{"name":"Q. Ji"},{"name":"Q. Ji"},{"name":"X. Ji"},{"name":"X. Ji"},{"name":"H. Jiang"},{"name":"X. Jiang"},{"name":"X. Jiang"},{"name":"J. Jiao"},{"name":"Z. Jiao"},{"name":"D. Jin"},{"name":"S. Jin"},{"name":"Y. Jin"},{"name":"T. Johansson"},{"name":"N. Kalantar-Nayestanaki"},{"name":"X. Kang"},{"name":"R. Kappert"},{"name":"M. Kavatsyuk"},{"name":"B. Ke"},{"name":"I. Keshk"},{"name":"T. Khan"},{"name":"A. Khoukaz"},{"name":"P. Kiese"},{"name":"R. Kiuchi"},{"name":"R. Kliemt"},{"name":"L. Koch"},{"name":"O. B. Kolcu"},{"name":"B. Kopf"},{"name":"M. Kuemmel"},{"name":"M. Kuessner"},{"name":"A. Kupsc"},{"name":"M. Kurth"},{"name":"M. Kurth"},{"name":"W. Kuehn"},{"name":"J. Lange"},{"name":"P. Larin"},{"name":"L. Lavezzi"},{"name":"H. Leithoff"},{"name":"T. Lenz"},{"name":"C. Li"},{"name":"Cheng Li"},{"name":"D. Li"},{"name":"F. Li"},{"name":"F. Li"},{"name":"G. Li"},{"name":"H. Li"},{"name":"H. Li"},{"name":"J. Li"},{"name":"J. Li"},{"name":"Kenneth K. Li"},{"name":"L. Li"},{"name":"Lei Li"},{"name":"P. Li"},{"name":"P. Li"},{"name":"Q. Li"},{"name":"W. Li"},{"name":"W. Li"},{"name":"X. Li"},{"name":"X. Li"},{"name":"X. Li"},{"name":"X. Li"},{"name":"Z. Li"},{"name":"H. Liang"},{"name":"Y. Liang"},{"name":"Y. Liang"},{"name":"G. Liao"},{"name":"L. Liao"},{"name":"J. Libby"},{"name":"C. Lin"},{"name":"D. Lin"},{"name":"Y. Lin"},{"name":"B. Liu"},{"name":"B. Liu"},{"name":"C. Liu"},{"name":"D. Liu"},{"name":"D. Liu"},{"name":"F. Liu"},{"name":"F. Liu"},{"name":"Feng. Liu"},{"name":"H. Liu"},{"name":"H. Liu"},{"name":"Huanhuan Liu"},{"name":"Huihui Liu"},{"name":"J. Liu"},{"name":"J. Liu"},{"name":"Li-Yu Daisy Liu"},{"name":"Li-Yu Daisy Liu"},{"name":"Q. Liu"},{"name":"S. Liu"},{"name":"T. Liu"},{"name":"X. Liu"},{"name":"X. Liu"},{"name":"Y. Liu"},{"name":"Z. Liu"},{"name":"Zhiqing Liu"},{"name":"Y. Long"},{"name":"X. Lou"},{"name":"H. Lu"},{"name":"J. Lu"},{"name":"J. Lu"},{"name":"Y. Lu"},{"name":"Y. Lu"},{"name":"C. Luo"},{"name":"M. Luo"},{"name":"P. Luo"},{"name":"T. Luo"},{"name":"X. Luo"},{"name":"S. Lusso"},{"name":"X. Lyu"},{"name":"F. Ma"},{"name":"H. Ma"},{"name":"L. Ma"},{"name":"M. Ma"},{"name":"Q. Ma"},{"name":"X. Ma"},{"name":"X. Ma"},{"name":"X. Ma"},{"name":"Y. Ma"},{"name":"F. Maas"},{"name":"M. Maggiora"},{"name":"S. Maldaner"},{"name":"S. Malde"},{"name":"Q. A. Malik"},{"name":"A. Mangoni"},{"name":"Y. Mao"},{"name":"Z. Mao"},{"name":"S. Marcello"},{"name":"Z. Meng"},{"name":"J. Messchendorp"},{"name":"G. Mezzadri"},{"name":"J. Min"},{"name":"T. Min"},{"name":"R. Mitchell"},{"name":"X. Mo"},{"name":"Y. Mo"},{"name":"C. Morales"},{"name":"N. Muchnoi"},{"name":"H. Muramatsu"},{"name":"A. Mustafa"},{"name":"S. Nakhoul"},{"name":"Y. Nefedov"},{"name":"F. Nerling"},{"name":"I. Nikolaev"},{"name":"Z. Ning"},{"name":"S. Nisar"},{"name":"S. Niu"},{"name":"S. Olsen"},{"name":"Q. Ouyang"},{"name":"S. Pacetti"},{"name":"Y. Pan"},{"name":"M. Papenbrock"},{"name":"P. Patteri"},{"name":"M. Pelizaeus"},{"name":"H. Peng"},{"name":"K. Peters"},{"name":"A. Petrov"},{"name":"J. Pettersson"},{"name":"J. Ping"},{"name":"R. Ping"},{"name":"A. Pitka"},{"name":"R. Poling"},{"name":"V. Prasad"},{"name":"M. Qi"},{"name":"T. Qi"},{"name":"S. Qian"},{"name":"C. Qiao"},{"name":"N. Qin"},{"name":"X. Qin"},{"name":"X. Qin"},{"name":"Z. Qin"},{"name":"J. Qiu"},{"name":"S. Qu"},{"name":"K. H. Rashid"},{"name":"C. Redmer"},{"name":"M. Richter"},{"name":"M. Ripka"},{"name":"A. Rivetti"},{"name":"V. Rodin"},{"name":"M. Rolo"},{"name":"G. Rong"},{"name":"J. Rosner"},{"name":"C. Rosner"},{"name":"M. Rump"},{"name":"A. Sarantsev"},{"name":"M. Savrié"},{"name":"K. Schoenning"},{"name":"W. Shan"},{"name":"X. Shan"},{"name":"M. Shao"},{"name":"C. Shen"},{"name":"P. Shen"},{"name":"X. Shen"},{"name":"H. Sheng"},{"name":"X. Shi"},{"name":"X. Shi"},{"name":"J. Song"},{"name":"Q. Song"},{"name":"X. Song"},{"name":"S. Sosio"},{"name":"C. Sowa"},{"name":"S. Spataro"},{"name":"F. Sui"},{"name":"G. Sun"},{"name":"J. Sun"},{"name":"L. Sun"},{"name":"S. Sun"},{"name":"X. Sun"},{"name":"Y. Sun"},{"name":"Y. Sun"},{"name":"Y. Sun"},{"name":"Z. Sun"},{"name":"Z. Sun"},{"name":"Y. Tan"},{"name":"C. Tang"},{"name":"G. Tang"},{"name":"X. Tang"},{"name":"V. Thorén"},{"name":"B. Tsednee"},{"name":"I. Uman"},{"name":"B. Wang"},{"name":"B. Wang"},{"name":"C. Wang"},{"name":"D. Wang"},{"name":"H. H. Wang"},{"name":"K. Wang"},{"name":"L. Wang"},{"name":"L. Wang"},{"name":"M. Wang"},{"name":"M. Wang"},{"name":"Meng Wang"},{"name":"P. Wang"},{"name":"R. Wang"},{"name":"W. Wang"},{"name":"X. Wang"},{"name":"X. Wang"},{"name":"X. Wang"},{"name":"Y. Wang"},{"name":"Y. Wang"},{"name":"Z. Wang"},{"name":"Z. Wang"},{"name":"Z. Wang"},{"name":"Zongyuan Wang"},{"name":"T. Weber"},{"name":"D. Wei"},{"name":"P. Weidenkaff"},{"name":"H. Wen"},{"name":"S. Wen"},{"name":"U. Wiedner"},{"name":"G. Wilkinson"},{"name":"M. Wolke"},{"name":"L. Wu"},{"name":"L. Wu"},{"name":"Z. Wu"},{"name":"L. Xia"},{"name":"Y. Xia"},{"name":"S. Xiao"},{"name":"Y. Xiao"},{"name":"Z. Xiao"},{"name":"Y. Xie"},{"name":"Y. Xie"},{"name":"T. Xing"},{"name":"X. Xiong"},{"name":"Q. L. Xiu"},{"name":"G. Xu"},{"name":"L. Xu"},{"name":"Q. Xu"},{"name":"W. Xu"},{"name":"X. Xu"},{"name":"F. Yan"},{"name":"L. Yan"},{"name":"W. Yan"},{"name":"W. Yan"},{"name":"Y. Yan"},{"name":"H. Yang"},{"name":"H. Yang"},{"name":"L. Yang"},{"name":"R. Yang"},{"name":"S. Yang"},{"name":"Y. Yang"},{"name":"Y. Yang"},{"name":"Yifan Yang"},{"name":"Z. Q. Yang"},{"name":"M. Ye"},{"name":"M. Ye"},{"name":"J. Yin"},{"name":"Z. You"},{"name":"B. Yu"},{"name":"C. Yu"},{"name":"J. Yu"},{"name":"C. Yuan"},{"name":"X. Yuan"},{"name":"Y. Yuan"},{"name":"A. Yuncu"},{"name":"A. Zafar"},{"name":"Y. Zeng"},{"name":"B. Zhang"},{"name":"B. Zhang"},{"name":"C. Zhang"},{"name":"D. Zhang"},{"name":"H. Zhang"},{"name":"H. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"K. Zhang"},{"name":"L. Zhang"},{"name":"S. Zhang"},{"name":"T. Zhang"},{"name":"X. Zhang"},{"name":"Y. Zhang"},{"name":"Y. Zhang"},{"name":"Y. Zhang"},{"name":"Y. Zhang"},{"name":"Yao Zhang"},{"name":"Yi. Zhang"},{"name":"Yu Zhang"},{"name":"Z. Zhang"},{"name":"Z. Zhang"},{"name":"Z. Zhang"},{"name":"Z. Zhang"},{"name":"G. Zhao"},{"name":"J. Zhao"},{"name":"J. Zhao"},{"name":"J. Zhao"},{"name":"Lei Zhao"},{"name":"Ling Zhao"},{"name":"M. Zhao"},{"name":"Q. Zhao"},{"name":"S. Zhao"},{"name":"T. Zhao"},{"name":"Y. Zhao"},{"name":"Z. Zhao"},{"name":"A. Zhemchugov"},{"name":"B. Zheng"},{"name":"J. Zheng"},{"name":"Y. Zheng"},{"name":"Y. Zheng"},{"name":"B. Zhong"},{"name":"L. Zhou"},{"name":"L. Zhou"},{"name":"Q. Zhou"},{"name":"X. Zhou"},{"name":"X. Zhou"},{"name":"X. Zhou"},{"name":"Xiaoyu Zhou"},{"name":"Xu Zhou"},{"name":"A. Zhu"},{"name":"J. Zhu"},{"name":"K. Zhu"},{"name":"K. Zhu"},{"name":"S. Zhu"},{"name":"W. Zhu"},{"name":"X. Zhu"},{"name":"Y. Zhu"},{"name":"Y. Zhu"},{"name":"Z. Zhu"},{"name":"J. Zhuang"},{"name":"B. Zou"},{"name":"J. Zou"}],"abstract":"There has recently been a dramatic renewal of interest in hadron spectroscopy and charm physics. This renaissance has been driven in part by the discovery of a plethora of charmonium-like XYZ states at BESIII and B factories, and the observation of an intriguing proton-antiproton threshold enhancement and the possibly related X(1835) meson state at BESIII, as well as the threshold measurements of charm mesons and charm baryons. We present a detailed survey of the important topics in tau-charm physics and hadron physics that can be further explored at BESIII during the remaining operation period of BEPCII. This survey will help in the optimization of the data-taking plan over the coming years, and provides physics motivation for the possible upgrade of BEPCII to higher luminosity.","source":"Semantic Scholar","year":2019,"language":"en","subjects":["Physics"],"doi":"10.1088/1674-1137/44/4/040001","url":"https://www.semanticscholar.org/paper/1cc50536e9f3c0d0d3056beb5eadb9cce2309a20","pdf_url":"https://iopscience.iop.org/article/10.1088/1674-1137/44/4/040001/pdf","is_open_access":true,"citations":474,"published_at":"","score":77.22},{"id":"ss_315d41aae1d8f6bf57d22be0ea0445913ce61e03","title":"Direct detection of a break in the teraelectronvolt cosmic-ray spectrum of electrons and positrons","authors":[{"name":"G. Ambrosi"},{"name":"Q. An"},{"name":"R. Asfandiyarov"},{"name":"P. Azzarello"},{"name":"P. Bernardini"},{"name":"B. Bertucci"},{"name":"M. Cai"},{"name":"J. Chang"},{"name":"D. Chen"},{"name":"H. Chen"},{"name":"J. Chen"},{"name":"W. Chen"},{"name":"M. Cui"},{"name":"T. Cui"},{"name":"A. D’Amone"},{"name":"A. Benedittis"},{"name":"I. Mitri"},{"name":"M. D. Santo"},{"name":"J. N. Dong"},{"name":"T. Dong"},{"name":"Y. Dong"},{"name":"Z. Dong"},{"name":"G. Donvito"},{"name":"D. Droz"},{"name":"K. Duan"},{"name":"J. Duan"},{"name":"M. Duranti"},{"name":"D. D’Urso"},{"name":"R. Fan"},{"name":"Y. Fan"},{"name":"F. Fang"},{"name":"C. Feng"},{"name":"L. Feng"},{"name":"P. Fusco"},{"name":"V. Gallo"},{"name":"F. Gan"},{"name":"M. Gao"},{"name":"S. Gao"},{"name":"F. Gargano"},{"name":"S. Garrappa"},{"name":"K. Gong"},{"name":"Y. Gong"},{"name":"D. Guo"},{"name":"J. Guo"},{"name":"Y. Hu"},{"name":"G. Huang"},{"name":"Y. -. Huang"},{"name":"M. Ionica"},{"name":"D. Jiang"},{"name":"W. Jiang"},{"name":"X. Jin"},{"name":"J. Kong"},{"name":"S. Lei"},{"name":"S. Li"},{"name":"X. Li"},{"name":"W. Li"},{"name":"Y. Li"},{"name":"Y. Liang"},{"name":"Y. Liang"},{"name":"N. Liao"},{"name":"H. Liu"},{"name":"J. Liu"},{"name":"S. Liu"},{"name":"W. Liu"},{"name":"Y. Liu"},{"name":"F. Loparco"},{"name":"M. Ma"},{"name":"P. Ma"},{"name":"S. Ma"},{"name":"T. Ma"},{"name":"X. Ma"},{"name":"X. Ma"},{"name":"G. Marsella"},{"name":"M. Mazziotta"},{"name":"D. Mo"},{"name":"X. Niu"},{"name":"X. Peng"},{"name":"W. Peng"},{"name":"R. Qiao"},{"name":"J. Rao"},{"name":"M. Salinas"},{"name":"G. Shang"},{"name":"W. Shen"},{"name":"Z. Shen"},{"name":"Z. Shen"},{"name":"J. Song"},{"name":"H. Su"},{"name":"M. Su"},{"name":"Z. Sun"},{"name":"A. Surdo"},{"name":"X. Teng"},{"name":"X. Tian"},{"name":"A. Tykhonov"},{"name":"V. Vagelli"},{"name":"S. Vitillo"},{"name":"C. Wang"},{"name":"H. Wang"},{"name":"H. Wang"},{"name":"J. Wang"},{"name":"L. Wang"},{"name":"Q. Wang"},{"name":"S. Wang"},{"name":"X. H. Wang"},{"name":"X. Wang"},{"name":"Y. Wang"},{"name":"Y. Wang"},{"name":"Yu Wang"},{"name":"S. Wen"},{"name":"Z. Wang"},{"name":"D. Wei"},{"name":"J. Wei"},{"name":"Y. F. Wei"},{"name":"D. Wu"},{"name":"J. Wu"},{"name":"L. Wu"},{"name":"S. Wu"},{"name":"X. Wu"},{"name":"K. Xi"},{"name":"Z. Xia"},{"name":"Y. Xin"},{"name":"H. Xu"},{"name":"Z. L. Xu"},{"name":"Z. Xu"},{"name":"G. Xue"},{"name":"H. Yang"},{"name":"P. Yang"},{"name":"Y. Q. Yang"},{"name":"Z. L. Yang"},{"name":"H. Yao"},{"name":"Y. Yu"},{"name":"Q. Yuan"},{"name":"C. Yue"},{"name":"J. Zang"},{"name":"C. Zhang"},{"name":"D. L. Zhang"},{"name":"F. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"L. Zhang"},{"name":"P. Zhang"},{"name":"S. X. Zhang"},{"name":"W. Zhang"},{"name":"Y. Zhang"},{"name":"Y. Zhang"},{"name":"Y. Zhang"},{"name":"Y. Zhang"},{"name":"Y. P. Zhang"},{"name":"Z. Zhang"},{"name":"Z. Zhang"},{"name":"H. Zhao"},{"name":"H. Zhao"},{"name":"X. Zhao"},{"name":"C. Zhou"},{"name":"Y. Zhou"},{"name":"X. Zhu"},{"name":"Y. Zhu"},{"name":"S. Zimmer"}],"abstract":"High-energy cosmic-ray electrons and positrons (CREs), which lose energy quickly during their propagation, provide a probe of Galactic high-energy processes and may enable the observation of phenomena such as dark-matter particle annihilation or decay. The CRE spectrum has been measured directly up to approximately 2 teraelectronvolts in previous balloon- or space-borne experiments, and indirectly up to approximately 5 teraelectronvolts using ground-based Cherenkov γ-ray telescope arrays. Evidence for a spectral break in the teraelectronvolt energy range has been provided by indirect measurements, although the results were qualified by sizeable systematic uncertainties. Here we report a direct measurement of CREs in the energy range 25 gigaelectronvolts to 4.6 teraelectronvolts by the Dark Matter Particle Explorer (DAMPE) with unprecedentedly high energy resolution and low background. The largest part of the spectrum can be well fitted by a ‘smoothly broken power-law’ model rather than a single power-law model. The direct detection of a spectral break at about 0.9 teraelectronvolts confirms the evidence found by previous indirect measurements, clarifies the behaviour of the CRE spectrum at energies above 1 teraelectronvolt and sheds light on the physical origin of the sub-teraelectronvolt CREs.","source":"Semantic Scholar","year":2017,"language":"en","subjects":["Physics","Medicine"],"doi":"10.1038/nature24475","url":"https://www.semanticscholar.org/paper/315d41aae1d8f6bf57d22be0ea0445913ce61e03","pdf_url":"https://arxiv.org/pdf/1711.10981","is_open_access":true,"citations":517,"published_at":"","score":76.51},{"id":"ss_3647f20633e713384bfef4e9c246a3b4b51c89ef","title":"Ultrasensitive terahertz sensing with high-Q Fano resonances in metasurfaces","authors":[{"name":"Ranjan Singh"},{"name":"W. Cao"},{"name":"I. Al-Naib"},{"name":"Longqing Cong"},{"name":"W. Withayachumnankul"},{"name":"Weili Zhang"}],"abstract":"High quality factor resonances are extremely promising for designing ultra-sensitive refractive index label-free sensors, since it allows intense interaction between electromagnetic waves and the analyte material. Metamaterial and plasmonic sensing have recently attracted a lot of attention due to subwavelength confinement of electromagnetic fields in the resonant structures. However, the excitation of high quality factor resonances in these systems has been a challenge. We excite an order of magnitude higher quality factor resonances in planar terahertz metamaterials that we exploit for ultrasensitive sensing. The low-loss quadrupole and Fano resonances with extremely narrow linewidths enable us to measure the minute spectral shift caused due to the smallest change in the refractive index of the surrounding media. We achieve sensitivity levels of 7.75 × 103 nm/refractive index unit (RIU) with quadrupole and 5.7 × 104 nm/RIU with the Fano resonances which could be further enhanced by using thinner substrates. These findings would facilitate the design of ultrasensitive real time chemical and biomolecular sensors in the fingerprint region of the terahertz regime.","source":"Semantic Scholar","year":2014,"language":"en","subjects":["Physics"],"doi":"10.1063/1.4895595","url":"https://www.semanticscholar.org/paper/3647f20633e713384bfef4e9c246a3b4b51c89ef","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/102411/1/Ultrasensitive%20terahertz%20sensing%20with%20high-Q%20Fano%20resonances%20in%20metasurfaces.pdf","is_open_access":true,"citations":610,"published_at":"","score":76.3},{"id":"ss_809ba47cf84304a48992b1832ab6b0d43c57862b","title":"Microstructure-mechanical properties relationships for quenching and partitioning (Q\u0026P) processed steel","authors":[{"name":"E. Seo"},{"name":"L. Cho"},{"name":"Y. Estrin"},{"name":"B. C. Cooman"}],"abstract":"","source":"Semantic Scholar","year":2016,"language":"en","subjects":["Materials Science"],"doi":"10.1016/J.ACTAMAT.2016.04.048","url":"https://www.semanticscholar.org/paper/809ba47cf84304a48992b1832ab6b0d43c57862b","is_open_access":true,"citations":326,"published_at":"","score":69.78},{"id":"doaj_10.24072/pcjournal.614","title":"Reaction cleaving and complex-balanced distributions for chemical reaction networks with general kinetics\n","authors":[{"name":"Hoessly, Linard"},{"name":"Wiuf, Carsten"},{"name":"Xia, Panqiu"}],"abstract":"Reaction networks have become a major modelling framework in the biological sciences from epidemiology and population biology to genetics and cellular biology. In recent years, much progress has been made on stochastic reaction networks (SRNs),modelled as continuous time Markov chains (CTMCs) and their stationary distributions. We are interested in complex-balanced stationary distributions, where the probability flow out of a  complex equals the flow into the complex.  We   characterise the existence and the form of complex-balanced distributions of SRNs with arbitrary transition functions through conditions on the cycles of the reaction graph (a digraph). Furthermore, we   give a sufficient condition for the existence of a complex-balanced distribution  and give precise conditions for when it is also necessary. The sufficient condition is also necessary for mass-action kinetics (and certain generalisations of that) or if the connected components of the digraph are cycles.  Moreover,  we state a deficiency theorem, a generalisation of the deficiency theorem for stochastic mass-action kinetics to arbitrary stochastic kinetics. The theorem gives the co-dimension of the parameter space for which a complex-balanced distribution exists. To achieve this, we construct an iterative procedure to decompose a strongly connected reaction graph into disjoint cycles, such that the corresponding SRN has equivalent dynamics and preserves complex-balancedness, provided the original SRN had so. This decomposition might have independent interest and might be applicable to  edge-labelled digraphs in general. ","source":"DOAJ","year":2025,"language":"","subjects":["Archaeology","Science"],"doi":"10.24072/pcjournal.614","url":"https://peercommunityjournal.org/articles/10.24072/pcjournal.614/","is_open_access":true,"published_at":"","score":69},{"id":"crossref_10.1016/j.mtbio.2024.101018","title":"Mn-phenolic networks as synergistic carrier for STING agonists in tumor immunotherapy","authors":[{"name":"Yingcai Meng"},{"name":"Jiaxin Huang"},{"name":"Jinsong Ding"},{"name":"Haiyan Zhou"},{"name":"Yong Li"},{"name":"Wenhu Zhou"}],"abstract":"","source":"CrossRef","year":2024,"language":"en","subjects":null,"doi":"10.1016/j.mtbio.2024.101018","url":"https://doi.org/10.1016/j.mtbio.2024.101018","is_open_access":true,"citations":12,"published_at":"","score":68.36},{"id":"ss_586ab01a1bc852e7d3dfd282d89cf1d398b92e36","title":"Observation of a Near-Threshold Structure in the K^{+} Recoil-Mass Spectra in e^{+}e^{-}→K^{+}(D_{s}^{-}D^{*0}+D_{s}^{*-}D^{0}).","authors":[{"name":"B. C. M. Ablikim"},{"name":"M. Achasov"},{"name":"P. Adlarson"},{"name":"S. Ahmed"},{"name":"M. Albrecht"},{"name":"R. Aliberti"},{"name":"A. Amoroso"},{"name":"Q. An"},{"name":"X. Bai"},{"name":"Y. Bai"},{"name":"O. Bakina"},{"name":"R. Ferroli"},{"name":"I. Balossino"},{"name":"Y. Ban"},{"name":"K. Begzsuren"},{"name":"N. Berger"},{"name":"M. Bertani"},{"name":"D. Bettoni"},{"name":"F. Bianchi"},{"name":"J. Biernat"},{"name":"J. Bloms"},{"name":"A. Bortone"},{"name":"I. Boyko"},{"name":"R. Briere"},{"name":"H. Cai"},{"name":"X. Cai"},{"name":"A. Calcaterra"},{"name":"G. Cao"},{"name":"N. Cao"},{"name":"S. Cetin"},{"name":"J. Chang"},{"name":"W. Chang"},{"name":"G. Chelkov"},{"name":"D. Chen"},{"name":"G. Chen"},{"name":"H. Chen"},{"name":"M. Chen"},{"name":"S. Chen"},{"name":"X. Chen"},{"name":"Y. Chen"},{"name":"Z. Chen"},{"name":"W. Cheng"},{"name":"G. Cibinetto"},{"name":"F. Cossio"},{"name":"X. Cui"},{"name":"H. Dai"},{"name":"X. Dai"},{"name":"A. Dbeyssi"},{"name":"R. Boer"},{"name":"D. Dedovich"},{"name":"Z. Deng"},{"name":"A. Denig"},{"name":"I. Denysenko"},{"name":"M. Destefanis"},{"name":"F. DeMori"},{"name":"Y. Ding"},{"name":"C. Dong"},{"name":"J. Dong"},{"name":"L. Dong"},{"name":"M. Dong"},{"name":"X. Dong"},{"name":"S. Du"},{"name":"J. Fang"},{"name":"S. Fang"},{"name":"Y. Fang"},{"name":"R. Farinelli"},{"name":"L. Fava"},{"name":"F. Feldbauer"},{"name":"G. Felici"},{"name":"C. Feng"},{"name":"M. Fritsch"},{"name":"C. Fu"},{"name":"Y. Gao"},{"name":"Y. Gao"},{"name":"I. Garzia"},{"name":"E. Gersabeck"},{"name":"A. Gilman"},{"name":"K. Goetzen"},{"name":"L. Gong"},{"name":"W. Gong"},{"name":"W. Gradl"},{"name":"M. Greco"},{"name":"L. Gu"},{"name":"M. Gu"},{"name":"S. Gu"},{"name":"Y. Gu"},{"name":"C. Guan"},{"name":"A. Guo"},{"name":"L. Guo"},{"name":"R. Guo"},{"name":"Y. Guo"},{"name":"A. Guskov"},{"name":"T. Han"},{"name":"X. Hao"},{"name":"F. Harris"},{"name":"N. Husken"},{"name":"K. He"},{"name":"F. Heinsius"},{"name":"C. H. Heinz"},{"name":"T. Held"},{"name":"Y. Heng"},{"name":"C. Herold"},{"name":"M. Himmelreich"},{"name":"T. Holtmann"},{"name":"Y. Hou"},{"name":"Z. Hou"},{"name":"H. Hu"},{"name":"J. Hu"},{"name":"T. Hu"},{"name":"Y. Hu"},{"name":"G. Huang"},{"name":"L. Huang"},{"name":"X. Huang"},{"name":"Y. Huang"},{"name":"Z. Huang"},{"name":"T. Hussain"},{"name":"W. Andersson"},{"name":"W. Imoehl"},{"name":"M. Irshad"},{"name":"S. Jaeger"},{"name":"S. Janchiv"},{"name":"Q. Ji"},{"name":"Q. Ji"},{"name":"X. Ji"},{"name":"X. Ji"},{"name":"H. Jiang"},{"name":"X. Jiang"},{"name":"J. Jiao"},{"name":"Z. Jiao"},{"name":"S. Jin"},{"name":"Y. Jin"},{"name":"T. Johansson"},{"name":"N. Kalantar-Nayestanaki"},{"name":"X. Kang"},{"name":"R. Kappert"},{"name":"M. Kavatsyuk"},{"name":"B. Ke"},{"name":"I. Keshk"},{"name":"A. Khoukaz"},{"name":"P. Kiese"},{"name":"R. Kiuchi"},{"name":"R. Kliemt"},{"name":"L. Koch"},{"name":"O. B. Kolcu"},{"name":"B. Kopf"},{"name":"M. Kuemmel"},{"name":"M. Kuessner"},{"name":"A. Kupsc"},{"name":"M. Kurth"},{"name":"W. Kuhn"},{"name":"J. J. Lane"},{"name":"J. Lange"},{"name":"P. Larin"},{"name":"A. Lavania"},{"name":"L. Lavezzi"},{"name":"Z. Lei"},{"name":"H. Leithoff"},{"name":"M. Lellmann"},{"name":"T. Lenz"},{"name":"C. Li"},{"name":"C. Li"},{"name":"Cheng Li"},{"name":"D. Li"},{"name":"F. Li"},{"name":"G. Li"},{"name":"H. Li"},{"name":"H. Li"},{"name":"H. Li"},{"name":"J. Li"},{"name":"J. Li"},{"name":"Kenneth K. Li"},{"name":"L. Li"},{"name":"Lei Li"},{"name":"P. Li"},{"name":"P. Li"},{"name":"S. Li"},{"name":"W. Li"},{"name":"W. Li"},{"name":"X. Li"},{"name":"X. Li"},{"name":"Z. Li"},{"name":"H. Liang"},{"name":"Y. Liang"},{"name":"Y. Liang"},{"name":"L. Liao"},{"name":"J. Libby"},{"name":"C. Lin"},{"name":"B. Liu"},{"name":"C. Liu"},{"name":"D. Liu"},{"name":"F. Liu"},{"name":"F. Liu"},{"name":"Feng. Liu"},{"name":"H. Liu"},{"name":"H. Liu"},{"name":"Huanhuan Liu"},{"name":"Huihui Liu"},{"name":"J. Liu"},{"name":"J. Liu"},{"name":"Li-Yu Daisy Liu"},{"name":"Li-Yu Daisy Liu"},{"name":"Li-Yu Daisy Liu"},{"name":"Li-Yu Daisy Liu"},{"name":"M. Liu"},{"name":"Q. Liu"},{"name":"S. Liu"},{"name":"Shuai Liu"},{"name":"T. Liu"},{"name":"W. Liu"},{"name":"X. Liu"},{"name":"Y. Liu"},{"name":"Z. Liu"},{"name":"Z. Liu"},{"name":"X. Lou"},{"name":"F. Lu"},{"name":"H. Lu"},{"name":"J. Lu"},{"name":"J. Lu"},{"name":"X. Lu"},{"name":"Y. Lu"},{"name":"Y. Lu"},{"name":"C. Luo"},{"name":"M. Luo"},{"name":"P. Luo"},{"name":"T. Luo"},{"name":"X. Luo"},{"name":"S. Lusso"},{"name":"X. Lyu"},{"name":"F. Ma"},{"name":"H. Ma"},{"name":"L. Ma"},{"name":"M. Ma"},{"name":"Q. Ma"},{"name":"R. Ma"},{"name":"R. Ma"},{"name":"X. Ma"},{"name":"X. Ma"},{"name":"F. Maas"},{"name":"M. Maggiora"},{"name":"S. Maldaner"},{"name":"S. Malde"},{"name":"Q. A. Malik"},{"name":"A. Mangoni"},{"name":"Y. Mao"},{"name":"Z. Mao"},{"name":"S. Marcello"},{"name":"Z. Meng"},{"name":"J. Messchendorp"},{"name":"G. Mezzadri"},{"name":"T. Min"},{"name":"R. Mitchell"},{"name":"X. Mo"},{"name":"Y. Mo"},{"name":"N. Muchnoi"},{"name":"H. Muramatsu"},{"name":"S. Nakhoul"},{"name":"Y. Nefedov"},{"name":"F. Nerling"},{"name":"I. Nikolaev"},{"name":"Z. Ning"},{"name":"S. Nisar"},{"name":"S. Olsen"},{"name":"Q. Ouyang"},{"name":"S. Pacetti"},{"name":"X. Pan"},{"name":"Y. Pan"},{"name":"A. Pathak"},{"name":"P. Patteri"},{"name":"M. Pelizaeus"},{"name":"H. Peng"},{"name":"K. Peters"},{"name":"J. Pettersson"},{"name":"J. Ping"},{"name":"R. Ping"},{"name":"A. Pitka"},{"name":"R. Poling"},{"name":"V. Prasad"},{"name":"H. Qi"},{"name":"H. Qi"},{"name":"K. Qi"},{"name":"M. Qi"},{"name":"T. Qi"},{"name":"S. Qian"},{"name":"W. Qian"},{"name":"Z. Qian"},{"name":"C. Qiao"},{"name":"L. Qin"},{"name":"X. Qin"},{"name":"Z. Qin"},{"name":"J. Qiu"},{"name":"S. Qu"},{"name":"K. H. Rashid"},{"name":"K. Ravindran"},{"name":"C. Redmer"},{"name":"A. Rivetti"},{"name":"V. Rodin"},{"name":"M. Rolo"},{"name":"G. Rong"},{"name":"C. Rosner"},{"name":"M. Rump"},{"name":"H. Sang"},{"name":"A. Sarantsev"},{"name":"Y. Schelhaas"},{"name":"C. Schnier"},{"name":"K. Schoenning"},{"name":"M. Scodeggio"},{"name":"D. Shan"},{"name":"W. Shan"},{"name":"X. Shan"},{"name":"M. Shao"},{"name":"C. Shen"},{"name":"P. Shen"},{"name":"X. Shen"},{"name":"H. Shi"},{"name":"R. Shi"},{"name":"X. Shi"},{"name":"X. Shi"},{"name":"W. Song"},{"name":"Y. Song"},{"name":"S. Sosio"},{"name":"S. Spataro"},{"name":"K. Su"},{"name":"F. Sui"},{"name":"G. Sun"},{"name":"H. Sun"},{"name":"J. Sun"},{"name":"L. Sun"},{"name":"S. Sun"},{"name":"T. Sun"},{"name":"W. Sun"},{"name":"X. Sun"},{"name":"Y. Sun"},{"name":"Y. Sun"},{"name":"Y. Sun"},{"name":"Z. Sun"},{"name":"Y. Tan"},{"name":"Y. Tan"},{"name":"C. Tang"},{"name":"G. Tang"},{"name":"J. Tang"},{"name":"J. Teng"},{"name":"V. Thorén"},{"name":"I. Uman"},{"name":"B. Wang"},{"name":"C. Wang"},{"name":"D. Wang"},{"name":"H. Wang"},{"name":"K. Wang"},{"name":"L. Wang"},{"name":"M. Wang"},{"name":"M. Wang"},{"name":"Meng Wang"},{"name":"W. Wang"},{"name":"W. Wang"},{"name":"X. Wang"},{"name":"X. Wang"},{"name":"X. Wang"},{"name":"Y. Wang"},{"name":"Y. Wang"},{"name":"Y. Wang"},{"name":"Y. Wang"},{"name":"Z. Wang"},{"name":"Z. Wang"},{"name":"Ziyi Wang"},{"name":"Zongyuan Wang"},{"name":"D. Wei"},{"name":"P. Weidenkaff"},{"name":"F. Weidner"},{"name":"S. Wen"},{"name":"D. White"},{"name":"U. Wiedner"},{"name":"G. Wilkinson"},{"name":"M. Wolke"},{"name":"L. Wollenberg"},{"name":"J. Wu"},{"name":"L. Wu"},{"name":"L. Wu"},{"name":"X. Wu"},{"name":"Z. Wu"},{"name":"L. Xia"},{"name":"H. Xiao"},{"name":"S. Xiao"},{"name":"Z. Xiao"},{"name":"X. Xie"},{"name":"Y. Xie"},{"name":"Y. Xie"},{"name":"T. Xing"},{"name":"G. Xu"},{"name":"J. Xu"},{"name":"Q. Xu"},{"name":"W. Xu"},{"name":"X. Xu"},{"name":"F. Yan"},{"name":"L. Yan"},{"name":"W. Yan"},{"name":"W. Yan"},{"name":"Xueqing Yan"},{"name":"H. Yang"},{"name":"H. Yang"},{"name":"L. Yang"},{"name":"S. Yang"},{"name":"Y. Yang"},{"name":"Y. Yang"},{"name":"Yifan Yang"},{"name":"Zhi Yang"},{"name":"M. Ye"},{"name":"M. Ye"},{"name":"J. Yin"},{"name":"Z. You"},{"name":"B. Yu"},{"name":"C. Yu"},{"name":"G. Yu"},{"name":"J. Yu"},{"name":"T. Yu"},{"name":"C. Yuan"},{"name":"L. Yuan"},{"name":"W. Yuan"},{"name":"X. Yuan"},{"name":"Y. Yuan"},{"name":"Z. Yuan"},{"name":"C. Yue"},{"name":"A. Yuncu"},{"name":"A. Zafar"},{"name":"Y. Zeng"},{"name":"B. Zhang"},{"name":"Guangyi Zhang"},{"name":"H. Zhang"},{"name":"H. Zhang"},{"name":"H. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"J. Zhang"},{"name":"Jianyu Zhang"},{"name":"Jiawei Zhang"},{"name":"Lei Zhang"},{"name":"S. Zhang"},{"name":"S. Zhang"},{"name":"Shulei Zhang"},{"name":"X. D. Zhang"},{"name":"X. Zhang"},{"name":"Y. Zhang"},{"name":"Y. Zhang"},{"name":"Y. Zhang"},{"name":"Yan Zhang"},{"name":"Yao Zhang"},{"name":"Y. Zhang"},{"name":"Z. Zhang"},{"name":"Z. Zhang"},{"name":"G. Zhao"},{"name":"J. Zhao"},{"name":"J. Zhao"},{"name":"J. Zhao"},{"name":"Lei Zhao"},{"name":"Ling Zhao"},{"name":"M. Zhao"},{"name":"Q. Zhao"},{"name":"S. Zhao"},{"name":"Y. Zhao"},{"name":"Y. Zhao"},{"name":"Z. Zhao"},{"name":"A. Zhemchugov"},{"name":"B. Zheng"},{"name":"J. Zheng"},{"name":"Y. Zheng"},{"name":"Y. Zheng"},{"name":"B. Zhong"},{"name":"C. Zhong"},{"name":"L. Zhou"},{"name":"Q. Zhou"},{"name":"X. Zhou"},{"name":"X. Zhou"},{"name":"X. Zhou"},{"name":"A. Zhu"},{"name":"J. Zhu"},{"name":"K. Zhu"},{"name":"K. Zhu"},{"name":"S. Zhu"},{"name":"T. Zhu"},{"name":"W. Zhu"},{"name":"Y. Zhu"},{"name":"Z. Zhu"},{"name":"B. Zou"},{"name":"J. Zou"}],"abstract":"We report a study of the processes of e^{+}e^{-}→K^{+}D_{s}^{-}D^{*0} and K^{+}D_{s}^{*-}D^{0} based on e^{+}e^{-} annihilation samples collected with the BESIII detector operating at BEPCII at five center-of-mass energies ranging from 4.628 to 4.698 GeV with a total integrated luminosity of 3.7  fb^{-1}. An excess of events over the known contributions of the conventional charmed mesons is observed near the D_{s}^{-}D^{*0} and D_{s}^{*-}D^{0} mass thresholds in the K^{+} recoil-mass spectrum for events collected at sqrt[s]=4.681  GeV. The structure matches a mass-dependent-width Breit-Wigner line shape, whose pole mass and width are determined as (3982.5_{-2.6}^{+1.8}±2.1)  MeV/c^{2} and (12.8_{-4.4}^{+5.3}±3.0)  MeV, respectively. The first uncertainties are statistical and the second are systematic. The significance of the resonance hypothesis is estimated to be 5.3  σ over the contributions only from the conventional charmed mesons. This is the first candidate for a charged hidden-charm tetraquark with strangeness, decaying into D_{s}^{-}D^{*0} and D_{s}^{*-}D^{0}. However, the properties of the excess need further exploration with more statistics.","source":"Semantic Scholar","year":2021,"language":"en","subjects":["Medicine"],"doi":"10.1103/PhysRevLett.126.102001","url":"https://www.semanticscholar.org/paper/586ab01a1bc852e7d3dfd282d89cf1d398b92e36","pdf_url":"http://link.aps.org/pdf/10.1103/PhysRevLett.126.102001","is_open_access":true,"citations":106,"published_at":"","score":68.18},{"id":"crossref_10.1051/bioconf/20248601004","title":"Mn-Zn spinel ferrite synthesis by solution combustion method and applications in adsorption of dyes","authors":[{"name":"I. Beri"},{"name":"M. Ayoub"},{"name":"N. Fatma"},{"name":"H.S. Dosanjh"}],"abstract":"Dyes are hazardous chemicals that are commonly found in textile industries’ effluent water. Adsorption techniques are more efficiently used for the removal of various dyes from wastewater. The present work deals with the synthesis of Mn-Zn (Mn0.3Zn0.7Fe2O4) spinel ferrite through the solution combustion method. The solution combustion method has many advantages over other conventional methods. Single-phase spinel ferrite materials can be synthesized by using this method at lower temperatures and in a shorter time. Synthesized Mn-Zn spinel ferrite material has been characterized by using FT-IR spectroscopy. As synthesized ferrite material has been employed for the adsorption of various dyes with different concentrations from their aqueous solutions. Results related to dyes’ adsorption have been reported using UV-Visible spectroscopy. Mn- Zn spinel ferrite has worked efficiently as an adsorbent and its magnetic nature is useful for its extraction from the aqueous solution.","source":"CrossRef","year":2024,"language":"en","subjects":null,"doi":"10.1051/bioconf/20248601004","url":"https://doi.org/10.1051/bioconf/20248601004","is_open_access":true,"citations":3,"published_at":"","score":68.09},{"id":"ss_714c207bf089d9b4d773fbceaae7e06461a59c3d","title":"Deterministic design of wavelength scale, ultra-high Q photonic crystal nanobeam cavities.","authors":[{"name":"Q. Quan"},{"name":"M. Lončar"}],"abstract":"Photonic crystal nanobeam cavities are versatile platforms of interest for optical communications, optomechanics, optofluidics, cavity QED, etc. In a previous work [Appl. Phys. Lett. 96, 203102 (2010)], we proposed a deterministic method to achieve ultrahigh Q cavities. This follow-up work provides systematic analysis and verifications of the deterministic design recipe and further extends the discussion to air-mode cavities. We demonstrate designs of dielectric-mode and air-mode cavities with Q \u003e 10⁹, as well as dielectric-mode nanobeam cavities with both ultrahigh-Q (\u003e 10⁷) and ultrahigh on-resonance transmissions (T \u003e 95%).","source":"Semantic Scholar","year":2011,"language":"en","subjects":["Physics","Medicine"],"doi":"10.1364/OE.19.018529","url":"https://www.semanticscholar.org/paper/714c207bf089d9b4d773fbceaae7e06461a59c3d","pdf_url":"https://doi.org/10.1364/oe.19.018529","is_open_access":true,"citations":430,"published_at":"","score":67.9},{"id":"ss_66eb844595922c906f4b0a6f42de8b5e964eb90f","title":"Cosmography in \nf(Q)\n gravity","authors":[{"name":"Sanjay Mandal"},{"name":"Deng Wang"},{"name":"P. Sahoo"}],"abstract":"Cosmography is an ideal tool to investigate the cosmic expansion history of the Universe in a model-independent way. The equations of motion in modified theories of gravity are usually very complicated; cosmography may select practical models without imposing arbitrary choices a priori. We use the model-independent way to derive $f(z)$ and its derivatives up to fourth order in terms of measurable cosmographic parameters. We then fit those functions into the luminosity distance directly. We perform the MCMC analysis by considering three different sets of cosmographic functions. Using the largest supernovae Ia Pantheon sample, we derive the constraints on the Hubble constant $H_0$ and the cosmographic functions, and find that the former two terms in Taylor expansion of luminosity distance work dominantly in $f(Q)$ gravity.","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Physics"],"doi":"10.1103/physrevd.102.124029","url":"https://www.semanticscholar.org/paper/66eb844595922c906f4b0a6f42de8b5e964eb90f","pdf_url":"https://arxiv.org/pdf/2011.00420","is_open_access":true,"citations":119,"published_at":"","score":67.57},{"id":"crossref_10.1051/bioconf/20236902008","title":"Analysis of Iron (Fe), Manganese (Mn), and pH of Coal Mine Acidic Water in Aceh Province","authors":[{"name":"Kiswanto"},{"name":"Wintah"}],"abstract":"One of the coal mining corporations is in charge of environmental management, which includes managing water resources One of the coal mining corporations is in charge of environmental management, which includes managing water resources. The management of coal mine water that has the potential to become polluted water can be processed into fresh water in a sustainable manner. This indicates that acidic water from coal mines is still handled as waste that must be addressed once more. According Ministry of Health Regulation No. 416 1990 on Water Quality Requirements and Monitoring (Indonesian Government Regulation Ministry of Health related to water quality requirements and water quality monitoring), the purpose of this study is to evaluate the viability of coal mine acidic water quality in comparison to Fe (iron), Mn (manganese) ions, and pH parameters as fresh water. According to the findings of this study into acid mine drainage, the pH of the water in nine study areas in Pucok Reudeup Village, a former coal mining region, is low. The findings of this study on acid mine drainage demonstrate that the pH of the water at nine research sites in Pucok Reudeup a village near a disused coal mine. In nine research locations in Pucok Reudeup Village, a former coal mining area, the pH of the water did not exceed the established freshwater quality requirements (pH water below 6.5 - 9), according to the findings of this acid mine drainage study. Fe parameters that fulfilled the quality requirements were only present at five research sites. High iron concentrations result from Fe 2+ or Fe 3+ ions that cannot obtain oxygen from the environment as well as from the stripping of soil and rocks that are predominately composed of iron minerals, necessitating further management such as aeration. All study sites' Mn (manganese) parameters continue to fall short of the quality requirements outlined in No. Minister of Health Regulation 416 of 1990 Requirements on water quality No. Minister of Health Regulation 416 of 1990 Requirements on water quality and monitoring, that is, always exceeding the quality standard by 0.5 mg/L, except for stations 4, 5 and 6 There are 3 locations of Mn (manganese). In general, it can be concluded that the Fe and pH parameters of the study area still do not meet the freshwater quality standards. While Mn partially meets freshwater quality standards atstations (4, 5 and 6). Stations 1, 2, 3, 7, 9 are always higher than fresh water quality standards. The problem of acid mine drainage requires environmentally friendly water treatment.","source":"CrossRef","year":2023,"language":"en","subjects":null,"doi":"10.1051/bioconf/20236902008","url":"https://doi.org/10.1051/bioconf/20236902008","is_open_access":true,"citations":1,"published_at":"","score":67.03},{"id":"ss_d04f15b0382a036caf0752f3403543db98ea36e7","title":"Q-compensated reverse-time migration","authors":[{"name":"T. Zhu"},{"name":"J. Harris"},{"name":"B. Biondi"}],"abstract":"","source":"Semantic Scholar","year":2014,"language":"en","subjects":["Physics"],"doi":"10.1190/GEO2013-0344.1","url":"https://www.semanticscholar.org/paper/d04f15b0382a036caf0752f3403543db98ea36e7","is_open_access":true,"citations":257,"published_at":"","score":65.71000000000001},{"id":"crossref_10.1007/s40735-020-00452-w","title":"Corrosion Behavior of Mg–Zn–Ca–Mn Alloy Coated with Nano-hydroxyapatite by Cyclic Voltammetry Method","authors":[{"name":"Ali Gitiara"},{"name":"S. Hadi Tabaian"}],"abstract":"","source":"CrossRef","year":2021,"language":"en","subjects":null,"doi":"10.1007/s40735-020-00452-w","url":"https://doi.org/10.1007/s40735-020-00452-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40735-020-00452-w.pdf","is_open_access":true,"citations":3,"published_at":"","score":65.09},{"id":"crossref_10.3329/jbs.v29i2.54963","title":"Inclusive Scenario of Natural Products Obtained From Agar Plant (Aquilaria SP.) In Bangladesh- A Review","authors":[{"name":"MN Hoque"},{"name":"MF Mondal"},{"name":"GHM Sagor"},{"name":"MM Hasan"},{"name":"A Hannan"}],"abstract":"Agarwood is the resinous heartwood obtained from the injured parts of trees under Thymelaeaceae family particularly from Aquilaria species. Agarwood is considered as the most prized non-timber forest product (NTFP) used in attars as well as medicines. Quality of agarwood is the determiner for defining its commercial value. Different countries use different grading system to explain the quality of agarwood. In Bangladesh, more than 45 compounds have been identified so far, mostly sesquiterpenoids, alkanes, fatty acid and other volatile aromatic compounds that are responsible for its fragrance and high prices. Ether extract, total phenolic contents, flavonoid, antioxidant and microbiological tests have shown tremendous positive results. Chemical profiling of agar products is the best identified using GC-MS technique by the various authors. Present review discusses the full scenario of Aquilaria production, inoculation, extraction methods, determination of agarwood quality and chemical constituents of agar oils and possibilities and barriers of this industry in Bangladesh. J. Bio-Sci. 29(2): 151-173, 2021 (December)","source":"CrossRef","year":2021,"language":"en","subjects":null,"doi":"10.3329/jbs.v29i2.54963","url":"https://doi.org/10.3329/jbs.v29i2.54963","pdf_url":"https://www.banglajol.info/index.php/JBS/article/download/54963/38643","is_open_access":true,"citations":2,"published_at":"","score":65.06},{"id":"ss_47512b2536bf59a026bb31067af32c504be538e8","title":"The Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) and Electronic Physical Activity Readiness Medical Examination (ePARmed-X+)","authors":[{"name":"D. Warburton"},{"name":"V. Jamnik"},{"name":"S. Bredin"},{"name":"N. Gledhill"}],"abstract":"","source":"Semantic Scholar","year":2011,"language":"en","subjects":["Medicine"],"doi":"10.14288/HFJC.V4I2.103","url":"https://www.semanticscholar.org/paper/47512b2536bf59a026bb31067af32c504be538e8","is_open_access":true,"citations":334,"published_at":"","score":65.02000000000001},{"id":"crossref_10.3329/jbs.v29i0.54821","title":"Investigation of Lesions In Goat Brain Collected From Abattoirs in Rajshahi Metropolitan Area","authors":[{"name":"A Akta"},{"name":"R Khatun"},{"name":"MN Khatun"},{"name":"R Parvin"},{"name":"N Khatun"},{"name":"SMA Rauf"},{"name":"HM Golbar"}],"abstract":"Brain lesions are important cause of morbidity and reduced productivity in goats worldwide. Works on brain lesion in goats are extremely rare in Bangladesh and remain to be investigated. We investigated lesions in goat brains collected from abattoirs in Rajshahi Metropolitan area by gross and microscopic examination. Randomly selected 57 goat brains were investigated of which 24.56% brains showed gross and histopathologic lesions. Prevalence of brain lesions were higher in Jamnapari goats (29.41%) compared to in Black Bengal goats (22.50%) and female goats (26.47%) were more affected than male goats (21.74%). Age-wise prevalence were 31.25%, 21.43%, 12.50%, and 40.00% in the age of up to 2 years, 2-3 years, 3-4 years, and above 4 years old goats, respectively. Goats were more affected in the rainy (35.29%) season in contrast to in the winter (23.53%) and in the summer (10.52%) seasons. The brains collected from goats with Gid disease showed uni or multilocular cysts containing clear fluid and multiple scolices, the rest of the brains were apparently healthy by macroscopic examination. Histopathologically, pyogranuloma, perivascular cuffing, gliosis, neuronal degeneration, hemorrhages, congestion and thrombus were evident. J. Bio-Sci. 29(1): 49-58, 2021 (June)","source":"CrossRef","year":2021,"language":"en","subjects":null,"doi":"10.3329/jbs.v29i0.54821","url":"https://doi.org/10.3329/jbs.v29i0.54821","pdf_url":"https://www.banglajol.info/index.php/JBS/article/download/54821/38611","is_open_access":true,"published_at":"","score":65},{"id":"ss_c40dd8f235aabe6efbb93c59c0536adf491f9ead","title":"PGQ: Combining policy gradient and Q-learning","authors":[{"name":"Brendan O'Donoghue"},{"name":"R. Munos"},{"name":"K. Kavukcuoglu"},{"name":"Volodymyr Mnih"}],"abstract":"Policy gradient is an efficient technique for improving a policy in a reinforcement learning setting. However, vanilla online variants are on-policy only and not able to take advantage of off-policy data. In this paper we describe a new technique that combines policy gradient with off-policy Q-learning, drawing experience from a replay buffer. This is motivated by making a connection between the fixed points of the regularized policy gradient algorithm and the Q-values. This connection allows us to estimate the Q-values from the action preferences of the policy, to which we apply Q-learning updates. We refer to the new technique as 'PGQL', for policy gradient and Q-learning. We also establish an equivalency between action-value fitting techniques and actor-critic algorithms, showing that regularized policy gradient techniques can be interpreted as advantage function learning algorithms. We conclude with some numerical examples that demonstrate improved data efficiency and stability of PGQL. In particular, we tested PGQL on the full suite of Atari games and achieved performance exceeding that of both asynchronous advantage actor-critic (A3C) and Q-learning.","source":"Semantic Scholar","year":2016,"language":"en","subjects":["Computer Science","Mathematics"],"url":"https://www.semanticscholar.org/paper/c40dd8f235aabe6efbb93c59c0536adf491f9ead","is_open_access":true,"citations":144,"published_at":"","score":64.32},{"id":"ss_8f3a46c887e5c0f5b6c1deb4e5552f43576dc5f6","title":"Investment and Tobin's Q: Evidence from company panel data","authors":[{"name":"R. Blundell"},{"name":"Stephen R. Bond"},{"name":"M. Devereux"},{"name":"F. Schiantarelli"}],"abstract":"","source":"Semantic Scholar","year":1992,"language":"en","subjects":["Economics","Mathematics"],"doi":"10.1016/0304-4076(92)90037-R","url":"https://www.semanticscholar.org/paper/8f3a46c887e5c0f5b6c1deb4e5552f43576dc5f6","is_open_access":true,"citations":473,"published_at":"","score":64.19}],"total":1742585,"page":1,"page_size":20,"sources":["CrossRef","DOAJ","Semantic Scholar"],"query":"q-bio.MN"}