407,658 research outputs found

    Does Downloading PowerPoint Slides Before the Lecture Lead to Better Student Achievement?: Reply

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    This reply responds to a comment by Cannon (2011) that opens the debate on consistency of the effect of downloading PowerPoint slides before lectures on students’ exam performance. Cannon (2011) points out potential endogeneity problems in Chen and Lin (2008) and attempts to explore the unconditional mean effect of downloading PowerPoint slides for the full sample. In this reply, we firstly argue that the estimates in our original article are consistent since the effect of interest is the “conditional†treatment effect but not the unconditional mean effect. We provide explanations for our rationale of estimating the “conditional†treatment effect. Secondly, we propose a modified downloading variable to replicate Cannon’s analysis. Our results suggest that downloading PowerPoint slides before the exam does not produce a significant effect on absent students’ exam performance which is different from the results in Cannon (2011). Our analysis does support Cannon’s argument that students fixed effects are different across different attendance status.

    Yang-Chen-JGR2021

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    Model data and plotting programs for Yang and Chen 2021, Journal of Geophysical Researc

    Callogobius sheni Chen, Chen and Fang 2006

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    270. Callogobius sheni Chen, Chen and Fang, 2006:228, figs.1–2 Holotype: MNNB P6980 (27.2), female, near Yu –fu tsun, Liu –chiu Shiang, Shiao –liu–chiu Island, Pingtung County, Taiwan, 15 m, 22 Oct. 2003, coll. J. –P. Chen and I. –S. Chen. Paratype: ASIZP 64285 (1, 24.5); NMMB P6981 (1, 22.6), NMMB P6982 (1, 28.4), NMMB P6983 (1, 18.9); all collected with the holotype.Published as part of Ho, Hsuan-Ching & Shao, Kwang-Tsao, 2011, 2957, pp. 1-74 in Zootaxa 2957 on page 5

    Blind joint maximum likelihood channel estimation and data detection for SIMO systems

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    A blind adaptive scheme is proposed for joint maximum likelihood (ML) channel estimation and data detection of single-input multiple-output (SIMO) systems. The joint ML optimisation over channel and data is decomposed into an iterative optimisation loop. An efficient global optimisation algorithm called the repeated weighted boosting search is employed at the upper level to optimally identify the unknown SIMO channel model, and the Viterbi algorithm is used at the lower level to produce the maximum likelihood sequence estimation of the unknown data sequence. A simulation example is used to demonstrate the effectiveness of this joint ML optimisation scheme for blind adaptive SIMO systems

    Nyctiophylax (Paranyctiophylax) taiwanensis Hsu & Chen 1996

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    Nyctiophylax (Paranyctiophylax) taiwanensis Hsu & Chen 1996 Nyctiophylax (Paranyctiophylax) taiwanensis Hsu & Chen 1996: 117–118, figs. 1–4 (male). Type locality: Tai-wan (Taichung). Remarks. We have not seen specimens of this species. Distribution. Tai-wan.Published as part of Zhong, Hua, Yang, Lian-Fang & Morse, John C., 2014, The genus Nyctiophylax Brauer in China (Trichoptera, Polycentropodidae), pp. 273-284 in Zootaxa 3846 (2) on page 282, DOI: 10.11646/zootaxa.3846.2.7, http://zenodo.org/record/492861

    Hemimyzon sheni Chen & Fang 2009

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    116. Hemimyzon sheni Chen & Fang, 2009: 186, Figs. 1–2, 4 Holotype. NTOU P–2007–07–077 (50.1), small tributary, 3 kilometers south of Yi–Ting mountain, upper reaches of Tar– Ju River, Tar–Ren Village, Yaitung County, SE Taiwan, coll. S.–H. Chen, 11 Jul. 1993. Paratypes. NTOU P–2007–07–078 (2, 11.2–30.6), same as holotype.Published as part of Ho, Hsuan-Ching & Shao, Kwang-Tsao, 2011, 2957, pp. 1-74 in Zootaxa 2957 on page 3
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