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通过 BET 方程计算的表面积的可重复性如何？
Johannes WM Osterrieth, James Rampersad, David Madden, Nakul Rampal, Luka Skoric, Bethany Connolly, Mark D. Allendorf, Vitalie Stavila, Jonathan L. Snider, Rob Ameloot, João Marreiros, Conchi Ania, Diana Azevedo, Enrique Vilarrasa-Garcia, Xinca F, Buan, Buan, Hanze, Hanze, Neil. R. Champness, Sarah L. Griffin, Banglin Chen, Rui-Biao Lin, Benoit Coasne, Seth Cohen, Jessica C. Moreton, Yamil J. Colón, Linjiang Chen, Rob Clowes, François-Xavier Coudert, Yong Cui, Bang Hou, Deanna M. D'Alessandro, Payne Dohen, Doen, Doe, Sun, Christian. Michael Thomas Huxley, Jack D. Evans, Paolo Falcaro, Raffaele Ricco, Omar Farha, Karam B. Idrees, Timur Islamoglu, Pingyun Feng, Huajun Yang, Ross S. Forgan, Dominic Bara, Shuhei Furukawa, Eli Sanchez, Jorge Gascon, Selvedin Telalović, Sukho Khamed, Khammed Murji, Murji Murji, Matthew R. Saum. diq, Patricia Horcajada, Pablo Salcedo-Abraira, Katsumi Kaneko, Radovan Kukobat, Jeff Kenvin, Seda Keskin, Susumu Kitagawa, Ken-ichi Otake, Ryan P. Lively, Stephen JA DeWitt, Phillip Llewellyn, Bettina V. Lotsch, Sebastian T. Ender, Alexander M. Pati M. Pati M. al, Javier García-Martínez, Noemi Linares, Daniel Maspoch, Jose A. Suárez del Pino, Peyman Moghadam, Rama Oktavian, Russel E. Morris, Paul S. Wheatley, Jorge Navarro, Camille Petit, David Danaci, Matthew J. Rosseinsky, Alexandros P., Kat Schunder, Martin Xu, Sergeant, Sergian, Sergeant. s Mouchaham, David S. Sholl, Raghuram Thyagarajan, Daniel Siderius, Randall Q. Snurr, Rebecca B. Goncalves, Shane Telfer, Seok J. Lee, Valeska P. Ting, Jemma L. Rowlandson, Takashi Uemura, Tomoya Iiyuka, Monique A. van der Revere, David Revere, Speed, M.J. and Lamaire, Krista S. Walton, Lukas W. Bingel, Stefan Wuttke, Jacopo Andreo, Omar Yaghi, Bing Zhang, Cafer T. Yavuz, Thien S. Nguyen, Felix Zamora, Carmen Montoro, Hongcai Zhou, Angelo Kirchon, and David Fairen-Jimenez*
通过 BET 方程计算的表面积的可重复性如何？
Johannes WM Osterrieth, James Rampersad, David Madden, Nakul Rampal, Luka Skoric, Bethany Connolly, Mark D. Allendorf, Vitalie Stavila, Jonathan L. Snider, Rob Ameloot, João Marreiros, Conchi Ania, Diana Azevedo, Enrique Vilarrasa-Garcia, Xinca F, Buan, Buan, Hanze, Hanze, Neil. R. Champness, Sarah L. Griffin, Banglin Chen, Rui-Biao Lin, Benoit Coasne, Seth Cohen, Jessica C. Moreton, Yamil J. Colón, Linjiang Chen, Rob Clowes, François-Xavier Coudert, Yong Cui, Bang Hou, Deanna M. D'Alessandro, Payne Dohen, Doen, Doe, Sun, Christian. Michael Thomas Huxley, Jack D. Evans, Paolo Falcaro, Raffaele Ricco, Omar Farha, Karam B. Idrees, Timur Islamoglu, Pingyun Feng, Huajun Yang, Ross S. Forgan, Dominic Bara, Shuhei Furukawa, Eli Sanchez, Jorge Gascon, Selvedin Telalović, Sukho Khamed, Khammed Murji, Murji Murji, Matthew R. Saum. diq, Patricia Horcajada, Pablo Salcedo-Abraira, Katsumi Kaneko, Radovan Kukobat, Jeff Kenvin, Seda Keskin, Susumu Kitagawa, Ken-ichi Otake, Ryan P. Lively, Stephen JA DeWitt, Phillip Llewellyn, Bettina V. Lotsch, Sebastian T. Ender, Alexander M. Pati M. Pati M. al, Javier García-Martínez, Noemi Linares, Daniel Maspoch, Jose A. Suárez del Pino, Peyman Moghadam, Rama Oktavian, Russel E. Morris, Paul S. Wheatley, Jorge Navarro, Camille Petit, David Danaci, Matthew J. Rosseinsky, Alexandros P., Kat Schunder, Martin Xu, Sergeant, Sergian, Sergeant. s Mouchaham, David S. Sholl, Raghuram Thyagarajan, Daniel Siderius, Randall Q. Snurr, Rebecca B. Goncalves, Shane Telfer, Seok J. Lee, Valeska P. Ting, Jemma L. Rowlandson, Takashi Uemura, Tomoya Iiyuka, Monique A. van der Revere, David Revere, Speed, M.J. and Lamaire, Krista S. Walton, Lukas W. Bingel, Stefan Wuttke, Jacopo Andreo, Omar Yaghi, Bing Zhang, Cafer T. Yavuz, Thien S. Nguyen, Felix Zamora, Carmen Montoro, Hongcai Zhou, Angelo Kirchon, and David Fairen-Jimenez*
通过 BET 方程计算的表面积的可重复性如何？
Johannes WM Osterrieth, James Rampersad, David Madden, Nakul Rampal, Luka Skoric, Bethany Connolly, Mark D. Allendorf, Vitalie Stavila, Jonathan L. Snider, Rob Ameloot, João Marreiros, Conchi Ania, Diana Azevedo, Enrique Vilarrasa-Garcia, Xinca F, Buan, Buan, Hanze, Hanze, Neil. R. Champness, Sarah L. Griffin, Banglin Chen, Rui-Biao Lin, Benoit Coasne, Seth Cohen, Jessica C. Moreton, Yamil J. Colón, Linjiang Chen, Rob Clowes, François-Xavier Coudert, Yong Cui, Bang Hou, Deanna M. D'Alessandro, Payne Dohen, Doen, Doe, Sun, Christian. Michael Thomas Huxley, Jack D. Evans, Paolo Falcaro, Raffaele Ricco, Omar Farha, Karam B. Idrees, Timur Islamoglu, Pingyun Feng, Huajun Yang, Ross S. Forgan, Dominic Bara, Shuhei Furukawa, Eli Sanchez, Jorge Gascon, Selvedin Telalović, Sukho Khamed, Khammed Murji, Murji Murji, Matthew R. Saum. diq, Patricia Horcajada, Pablo Salcedo-Abraira, Katsumi Kaneko, Radovan Kukobat, Jeff Kenvin, Seda Keskin, Susumu Kitagawa, Ken-ichi Otake, Ryan P. Lively, Stephen JA DeWitt, Phillip Llewellyn, Bettina V. Lotsch, Sebastian T. Ender, Alexander M. Pati M. Pati M. al, Javier García-Martínez, Noemi Linares, Daniel Maspoch, Jose A. Suárez del Pino, Peyman Moghadam, Rama Oktavian, Russel E. Morris, Paul S. Wheatley, Jorge Navarro, Camille Petit, David Danaci, Matthew J. Rosseinsky, Alexandros P., Kat Schunder, Martin Xu, Sergeant, Sergian, Sergeant. s Mouchaham, David S. Sholl, Raghuram Thyagarajan, Daniel Siderius, Randall Q. Snurr, Rebecca B. Goncalves, Shane Telfer, Seok J. Lee, Valeska P. Ting, Jemma L. Rowlandson, Takashi Uemura, Tomoya Iiyuka, Monique A. van der Revere, David Revere, Speed, M.J. and Lamaire, Krista S. Walton, Lukas W. Bingel, Stefan Wuttke, Jacopo Andreo, Omar Yaghi, Bing Zhang, Cafer T. Yavuz, Thien S. Nguyen, Felix Zamora, Carmen Montoro, Hongcai Zhou, Angelo Kirchon, and David Fairen-Jimenez*
评估脑容量测定的可重复性...
方法本研究纳入45名健康志愿者和85名轻度认知障碍（MCI）患者。在85名MCI患者中，43名以1.2 mm的平面分辨率获取三维T1加权MRI数据。其余42名MCI患者和健康志愿者的数据以1.0 mm的平面分辨率获取。计算受试者内变异系数（CoV）、组内相关系数（ICC）和效应大小，并使用配对t检验比较均值。比较MCI患者在1.0 mm和1.2 mm分辨率下获得的参数，以评估平面分辨率对方法间重现性的影响。使用MCI患者和健康志愿者在1.0 mm平面分辨率下获得的参数来分析受试者条件对方法间重现性的影响。
一级机器学习论文的可重复性研究
可重复性对于科学的发展至关重要；它对看似矛盾的结果充满信心，并扩大了已知发现的界限。计算机安全具有创建工件的益处，可以促进计算可重复性，这是他人使用他人代码和数据以相对直接的方式使用他人的代码和数据独立重新创建结果的能力。尽管安全界最近增加了对可重复性的关注，但尚未对当前可重复性状态进行独立且全面的测量。在本文中，我们进行了第一项此类研究，针对由机器学习安全性的论文专门生成的可重复的伪像（学术研究中最流行的领域之一），该论文在过去十年（2013-2022）中发表了第1层安全会议。我们对近750篇论文，其代码库和数据集进行了间接和直接可重复性的测量研究。我们的分析表明，在第1级会议中引入工件评估委员会之前和之后，在统计上没有统计学上的差异。然而，根据三年的结果，通过此过程的伪像比没有的伪像更高。从收集的发现中，我们提供了以数据为基础的建议，以改善社区的可重复性，包括我们研究中观察到的五个问题。这样做，我们证明了计算机安全研究中的计算可重复性仍需要取得重大进展。
“显示计量学中可重复性的障碍”
我们假设在 FFC 之前执行了背景减法。FFC 会根据所用镜头的类型、光圈、焦点、测量光区的大小及其距离等而改变。很难准确创建，因为很难获得足够大小的均匀光源，而且所需的校正会随着条件的变化而发生很大变化。小心。一种配置的 FFC 可能不适用于另一种配置
研究有影响力的脑电图实验的可重复性
推荐引用 推荐引用 Pavlov, Y., Mushtaq, F., Adamian, N., Appelhoff, S., Arvaneh, M., Benwell, C., Beste, C., Bland, A., Bradford, D., Bublatzky, F., Busch, N., Clayson, P., Cruse, D., Czeszumski, A., Dreber, A., Dumas, G., Ehinger, B., Ganis, G., He, X., Hinojosa, J., Huber-Huber, C., Inzlicht, M., Jack, B., Johannesson, M., Jones, R., Kalenkovich, E., Kaltwasser, L., Karimi-Rouzbahani, H., Keil, A., & König, P. (2021) '#EEGManyLabs: Investigating the replicaability of influence EEG 实验”，Cortex，。可从以下网址获取：10.1016/j.cortex.2021.03.013 本文由 PEARL 健康学院免费开放获取。它已被 PEARL 授权管理员接受纳入心理学学院。如需更多信息，请联系 openresearch@plymouth.ac.uk。
通过 BET 方程计算的表面积的可重复性如何？
Johannes WM Osterrieth, James Rampersad, David Madden, Nakul Rampal, Luka Skoric, Bethany Connolly, Mark D. Allendorf, Vitalie Stavila, Jonathan L. Snider, Rob Ameloot, João Marreiros, Conchi Ania, Diana Azevedo, Enrique Vilarrasa-Garcia, Xinca F, Buan, Buan, Hanze, Hanze, Neil. R. Champness, Sarah L. Griffin, Banglin Chen, Rui-Biao Lin, Benoit Coasne, Seth Cohen, Jessica C. Moreton, Yamil J. Colón, Linjiang Chen, Rob Clowes, François-Xavier Coudert, Yong Cui, Bang Hou, Deanna M. D'Alessandro, Payne Dohen, Doen, Doe, Sun, Christian. Michael Thomas Huxley, Jack D. Evans, Paolo Falcaro, Raffaele Ricco, Omar Farha, Karam B. Idrees, Timur Islamoglu, Pingyun Feng, Huajun Yang, Ross S. Forgan, Dominic Bara, Shuhei Furukawa, Eli Sanchez, Jorge Gascon, Selvedin Telalović, Sukho Khamed, Khammed Murji, Murji Murji, Matthew R. Saum. diq, Patricia Horcajada, Pablo Salcedo-Abraira, Katsumi Kaneko, Radovan Kukobat, Jeff Kenvin, Seda Keskin, Susumu Kitagawa, Ken-ichi Otake, Ryan P. Lively, Stephen JA DeWitt, Phillip Llewellyn, Bettina V. Lotsch, Sebastian T. Ender, Alexander M. Pati M. Pati M. al, Javier García-Martínez, Noemi Linares, Daniel Maspoch, Jose A. Suárez del Pino, Peyman Moghadam, Rama Oktavian, Russel E. Morris, Paul S. Wheatley, Jorge Navarro, Camille Petit, David Danaci, Matthew J. Rosseinsky, Alexandros P., Kat Schunder, Martin Xu, Sergeant, Sergian, Sergeant. s Mouchaham, David S. Sholl, Raghuram Thyagarajan, Daniel Siderius, Randall Q. Snurr, Rebecca B. Goncalves, Shane Telfer, Seok J. Lee, Valeska P. Ting, Jemma L. Rowlandson, Takashi Uemura, Tomoya Iiyuka, Monique A. van der Revere, David Revere, Speed, M.J. and Lamaire, Krista S. Walton, Lukas W. Bingel, Stefan Wuttke, Jacopo Andreo, Omar Yaghi, Bing Zhang, Cafer T. Yavuz, Thien S. Nguyen, Felix Zamora, Carmen Montoro, Hongcai Zhou, Angelo Kirchon, and David Fairen-Jimenez*
计算科学中的可靠性和可重复性
作者感谢欧盟委员会 VECMA 拨款（编号 800925）和伦敦阿兰图灵研究所的资助，这使我们能够在 2020 年 1 月举办一场与本期主题类似的活动。致谢我们感谢 Apostolos Evangelopoulos 博士对本期主题的开发提供的重要支持，以及 Hugh Martin 博士为组织阿兰图灵研究所的活动所做的贡献。参考文献
医学成像的机器学习中的可重复性
可重复性是科学的基石，因为发现的复制是它们成为知识的过程。广泛认为，许多科学领域正在经历可重复性危机。这导致了各种准则的出版物，以提高研究可重复性。本教学章节旨在作为用于医学成像的机器学习领域的研究人员的介绍。我们首先区分不同类型的可重复性。对于每个人，我们旨在定义它，描述实现它的要求并讨论其效用。本章以讨论可重复性的好处的讨论以及对这种概念的非态度方法及其在研究实践中的实施的恳求。