Long-Term Studies Contribute Disproportionately to Ecology and Policy von HUGHES, BRENT B., BEAS-LUNA, RODRIGO, BARNER, ALLISON K., BREWITT, KIMBERLY, BRUMBAUGH, DANIEL R., CERNY-CHIPMAN, ELIZABETH B., CLOSE, SARAH L., COBLENTZ, KYLE E., DE NESNERA, KRISTIN L., DROBNITCH, SARAH T., FIGURSKI, JARED D., FOCHT, BECKY, FRIEDMAN, MAYA, FREIWALD, JAN, HEADY, KRISTEN K., HEADY, WALTER N., HETTINGER, ANNALIESE, JOHNSON, ANGELA, KARR, KENDRA A., MAHONEY, BRENNA, MORITSCH, MONICA M., OSTERBACK, ANN-MARIE K., REIMER, JESSICA, ROBINSON, JONATHAN, ROHRER, TULLY, ROSE, JEREMY M., SABAL, MEGAN, SEGUI, LEAH M., SHEN, CHENCHEN, SULLIVAN, JENNA, ZUERCHER, RACHEL, RAIMONDI, PETER T., MENGE, BRUCE A., GRORUD-COLVERT, KIRSTEN, NOVAK, MARK, CARR, MARK H.

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Seasonal sediment dynamics shape temperate bedrock reef communities von Figurski, Jared D., Freiwald, Jan, Lonhart, Steve I., Storlazzi, Curt D.

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An inexpensive instrument for measuring wave exposure and water velocity von Figurski, Jared D., Malone, Dan, Lacy, Jessica R., Denny, Mark

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SPATIOTEMPORAL PREDICTABILITY OF SCHOOLING AND NONSCHOOLING PREY OF PIGEON GUILLEMOTS von Litzow, Michael A, Piatt, John F, Abookire, Alisa A, Speckman, Suzann G, Arimitsu, Mayumi L, Figurski, Jared D

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Burial and exhumation of temperate bedrock reefs as elucidated by repetitive high-resolution sea floor sonar surveys: Spatial patterns and impacts to species' richness and diversit... von Storlazzi, Curt D., Fregoso, Theresa A., Figurski, Jared D., Freiwald, Jan, Lonhart, Steve I., Finlayson, David P.

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Corrigendum: Long-Term Studies Contribute Disproportionately to Ecology and Policy von HUGHES, BRENT B., BEAS-LUNA, RODRIGO, BARNER, ALLISON K., BREWITT, KIMBERLY, BRUMBAUGH, DANIEL R., CERNY-CHIPMAN, ELIZABETH B., CLOSE, SARAH L., COBLENTZ, KYLE E., DE NESNERA, KRISTIN L., DROBNITCH, SARAH T., FIGURSKI, JARED D., FOCHT, BECKY, FRIEDMAN, MAYA, FREIWALD, JAN, HEADY, KRISTEN K., HEADY, WALTER N., HETTINGER, ANNALIESE, JOHNSON, ANGELA, KARR, KENDRA A., MAHONEY, BRENNA, MORITSCH, MONICA M., OSTERBACK, ANN-MARIE K., REIMER, JESSICA, ROBINSON, JONATHAN, ROHRER, TULLY, ROSE, JEREMY M., SABAL, MEGAN, SEGUI, LEAH M., SHEN, CHENCHEN, SULLIVAN, JENNA, ZUERCHER, RACHEL, RAIMONDI, PETER T., MENGE, BRUCE A., GRORUD-COLVERT, KIRSTEN, NOVAK, MARK, CARR, MARK H.

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Spatiotemporal Predictability of Schooling and Nonschooling Prey of Pigeon Guillemots von Litzow, Michael A., Piatt, John F., Abookire, Alisa A., Speckman, Suzann G., Arimitsu, Mayumi L., Figurski, Jared D.

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Hermit Crabs in the Diet of Pigeon Guillemots at Kachemak Bay, Alaska von Litzow, Michael A., Piatt, John F., Figurski, Jared D.

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Predicting Alzheimer’s disease progression using multi-modal deep learning approach von Lee, Garam, Nho, Kwangsik, Kang, Byungkon, Sohn, Kyung-Ah, Kim, Dokyoon

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Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology von Shen, Xinpeng, Ma, Sisi, Vemuri, Prashanthi, Simon, Gyorgy

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Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics von Varatharajah, Yogatheesan, Ramanan, Vijay K., Iyer, Ravishankar, Vemuri, Prashanthi

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Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers von Gupta, Yubraj, Lama, Ramesh Kumar, Kwon, Goo-Rak

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Plasma phosphorylated-tau181 as a predictive biomarker for Alzheimer’s amyloid, tau and FDG PET status von Shen, Xue-Ning, Huang, Yu-Yuan, Chen, Shi-Dong, Guo, Yu, Tan, Lan, Dong, Qiang, Yu, Jin-Tai

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Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification von Hett, Kilian, Ta, Vinh-Thong, Catheline, Gwenaëlle, Tourdias, Thomas, Manjón, José V., Coupé, Pierrick

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Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization von Chung, Yeonwoo, Lee, Hyunju

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FAM222A encodes a protein which accumulates in plaques in Alzheimer’s disease von Yan, Tingxiang, Liang, Jingjing, Gao, Ju, Wang, Luwen, Fujioka, Hisashi, Zhu, Xiaofeng, Wang, Xinglong

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Author Correction: Predicting Alzheimer’s disease progression using multi-modal deep learning approach von Lee, Garam, Nho, Kwangsik, Kang, Byungkon, Sohn, Kyung-Ah, Kim, Dokyoon

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A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data von Kundu, Suprateek, Lukemire, Joshua, Wang, Yikai, Guo, Ying

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A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease von Squillario, Margherita, Abate, Giulia, Tomasi, Federico, Tozzo, Veronica, Barla, Annalisa, Uberti, Daniela

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New Perspective for Non-invasive Brain Stimulation Site Selection in Mild Cognitive Impairment: Based on Meta- and Functional Connectivity Analyses von Liu, Jiao, Zhang, Binlong, Wilson, Georgia, Kong, Jian

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