64,474 results on '"A. Ehrlich"'
Search Results
152. Structural characterization of the extracellular stalk material of the diatom Didymosphenia geminata
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Dütsch, Lara, Brendler, Erica, Zuber, Jan, Viehweger, Christine, Ehrlich, Hermann, Jesionowski, Teofil, and Vogt, Carla
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- 2024
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153. ROBIN: a randomised, double-masked, placebo-controlled Phase IIa study of the AOC3 inhibitor BI 1467335 in diabetic retinopathy
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Dong Nguyen, Quan, Ehlers, Justis P., Boyer, David S., Jin, Xidong, Giani, Andrea, and Ehrlich, Michael S.
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- 2024
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154. Eligibility of a novel BW + technology and comparison of sensitivity and specificity of different imaging methods for radiological caries detection
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Becker, Kathrin, Ehrlich, Henrike, Hüfner, Mira, Rauch, Nicole, Busch, Caroline, Schwarz-Herzke, Beryl, Drescher, Dieter, and Becker, Jürgen
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- 2024
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155. Use of ClearGuard HD caps in pediatric hemodialysis patients
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Nau, Amy, Richardson, Troy, Cardwell, Diana, Ehrlich, Jennifer, Gattineni, Jyothsna, Hanna, Melisha, Keswani, Mahima, Neibauer, Emily, Nitz, Kelly, Quigley, Raymond, Rheault, Michelle, Sims, Rebekah, Woo, Mayna, and Warady, Bradley A.
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- 2024
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156. Trial of labor following cesarean in patients with bicornuate uterus: a multicenter retrospective study
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Rotem, Reut, Hirsch, Ayala, Ehrlich, Zvi, Sela, Hen Y., Grisaru-Granovsky, Sorina, and Rottenstreich, Misgav
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- 2024
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157. Managing Delirium in the Emergency Department: An Updated Narrative Review
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Ehrlich, April, Oh, Esther S., and Ahmed, Shaista
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- 2024
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158. Arctic low-level boundary layer clouds: in situ measurements and simulations of mono- and bimodal supercooled droplet size distributions at the top layer of liquid phase clouds
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M. Klingebiel, A. de Lozar, S. Molleker, R. Weigel, A. Roth, L. Schmidt, J. Meyer, A. Ehrlich, R. Neuber, M. Wendisch, and S. Borrmann
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Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Aircraft borne optical in situ size distribution measurements were performed within Arctic boundary layer clouds with a special emphasis on the cloud top layer during the VERtical Distribution of Ice in Arctic clouds (VERDI) campaign in April and May 2012. An instrumented Basler BT-67 research aircraft operated out of Inuvik over the Mackenzie River delta and the Beaufort Sea in the Northwest Territories of Canada. Besides the cloud particle and hydrometeor size spectrometers the aircraft was equipped with instrumentation for aerosol, radiation and other parameters. Inside the cloud, droplet size distributions with monomodal shapes were observed for predominantly liquid-phase Arctic stratocumulus. With increasing altitude inside the cloud the droplet mean diameters grew from 10 to 20 μm. In the upper transition zone (i.e., adjacent to the cloud-free air aloft) changes from monomodal to bimodal droplet size distributions (Mode 1 with 20 μm and Mode 2 with 10 μm diameter) were observed. It is shown that droplets of both modes co-exist in the same (small) air volume and the bimodal shape of the measured size distributions cannot be explained as an observational artifact caused by accumulating data point populations from different air volumes. The formation of the second size mode can be explained by (a) entrainment and activation/condensation of fresh aerosol particles, or (b) by differential evaporation processes occurring with cloud droplets engulfed in different eddies. Activation of entrained particles seemed a viable possibility as a layer of dry Arctic enhanced background aerosol (which was detected directly above the stratus cloud) might form a second mode of small cloud droplets. However, theoretical considerations and model calculations (adopting direct numerical simulation, DNS) revealed that, instead, turbulent mixing and evaporation of larger droplets are the most likely reasons for the formation of the second droplet size mode in the uppermost region of the clouds.
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- 2015
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159. Photon-rejection Power of the Light Dark Matter eXperiment in an 8 GeV Beam
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Åkesson, Torsten, Bravo, Cameron, Brennan, Liam, Bryngemark, Lene Kristian, Butti, Pierfrancesco, Dukes, E. Craig, Dutta, Valentina, Echenard, Bertrand, Eichlersmith, Thomas, Eisch, Jonathan, Elén, Einar, Ehrlich, Ralf, Froemming, Cooper, Furmanski, Andrew, Gogate, Niramay, Grieco, Chiara, Group, Craig, Herde, Hannah, Herwig, Christian, Hitlin, David G., Horoho, Tyler, Incandela, Joseph, Ketchum, Wesley, Krnjaic, Gordan, Li, Amina, Mans, Jeremiah, Masterson, Phillip, Middleton, Sophie, Moreno, Omar, Mullier, Geoffrey, Muse, Joseph, Nelson, Timothy, O'Dwyer, Rory, Östman, Leo, Oyang, James, Pascadlo, Jessica, Pöttgen, Ruth, Sarmiento, Luis G., Schuster, Philip, Solt, Matthew, Suarez, Cristina Mantilla, Tompkins, Lauren, Toro, Natalia, Tran, Nhan, Wallin, Erik, Whitbeck, Andrew, and Zhang, Danyi
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High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the sub-GeV mass region. An upgrade to the LCLS-II accelerator will increase the beam energy available to LDMX from 4 to 8 GeV. Using detailed GEANT4-based simulations, we investigate the effect of the increased beam energy on the capabilities to separate signal and background, and demonstrate that the veto methodology developed for 4 GeV successfully rejects photon-induced backgrounds for at least $2\times10^{14}$ electrons on target at 8 GeV., Comment: 28 pages, 20 figures; corrected author list
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- 2023
160. Framing image registration as a landmark detection problem for label-noise-aware task representation (HitR)
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Waldmannstetter, Diana, Ezhov, Ivan, Wiestler, Benedikt, Campi, Francesco, Kukuljan, Ivan, Ehrlich, Stefan, Vinayahalingam, Shankeeth, Baheti, Bhakti, Chakrabarty, Satrajit, Baid, Ujjwal, Bakas, Spyridon, Schwarting, Julian, Metz, Marie, Kirschke, Jan S., Rueckert, Daniel, Heckemann, Rolf A., Piraud, Marie, Menze, Bjoern H., and Kofler, Florian
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Physics - Medical Physics - Abstract
Accurate image registration is pivotal in biomedical image analysis, where selecting suitable registration algorithms demands careful consideration. While numerous algorithms are available, the evaluation metrics to assess their performance have remained relatively static. This study addresses this challenge by introducing a novel evaluation metric termed Landmark Hit Rate (HitR), which focuses on the clinical relevance of image registration accuracy. Unlike traditional metrics such as Target Registration Error, which emphasize subresolution differences, HitR considers whether registration algorithms successfully position landmarks within defined confidence zones. This paradigm shift acknowledges the inherent annotation noise in medical images, allowing for more meaningful assessments. To equip HitR with label-noise-awareness, we propose defining these confidence zones based on an Inter-rater Variance analysis. Consequently, hit rate curves are computed for varying landmark zone sizes, enabling performance measurement for a task-specific level of accuracy. Our approach offers a more realistic and meaningful assessment of image registration algorithms, reflecting their suitability for clinical and biomedical applications.
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- 2023
161. A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
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Makkeh, Abdullah, Graetz, Marcel, Schneider, Andreas C., Ehrlich, David A., Priesemann, Viola, and Wibral, Michael
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Computer Science - Information Theory ,Computer Science - Machine Learning ,Computer Science - Neural and Evolutionary Computing - Abstract
Despite the impressive performance of biological and artificial networks, an intuitive understanding of how their local learning dynamics contribute to network-level task solutions remains a challenge to this date. Efforts to bring learning to a more local scale indeed lead to valuable insights, however, a general constructive approach to describe local learning goals that is both interpretable and adaptable across diverse tasks is still missing. We have previously formulated a local information processing goal that is highly adaptable and interpretable for a model neuron with compartmental structure. Building on recent advances in Partial Information Decomposition (PID), we here derive a corresponding parametric local learning rule, which allows us to introduce 'infomorphic' neural networks. We demonstrate the versatility of these networks to perform tasks from supervised, unsupervised and memory learning. By leveraging the interpretable nature of the PID framework, infomorphic networks represent a valuable tool to advance our understanding of the intricate structure of local learning., Comment: 26 pages, 12 figures
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- 2023
162. How Do Combinations of Transition Activities Available to Children and Families Predict Successful Kindergarten Transitions?
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Kyle DeMeo Cook, Stacy Ehrlich Loewe, Sarah Kabourek, John Francis, Andrew Schaper, Dana Thomson, Tamara Halle, and Kristie Kauerz
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Research Findings: The transition to kindergarten can be challenging for children and families. Research shows that some transition activities implemented by elementary schools can have small positive associations with children's outcomes. Examining the nationally representative Early Childhood Longitudinal Study Kindergarten Class of 2011 dataset (N= 13813), we explored whether children and families had access to different combinations of transition activities and whether those combinations were associated with child and family outcomes. Using latent class analysis, we found four distinct groups based on teacher and parent reports. Two groups had opportunities for engaging in many transition activities, while the other two groups had fewer transition activities offered -- particularly face-to-face experiences. Children from low-income households were more likely to experience fewer types of transition activities, and children from higher-income households were more likely to experience a more comprehensive set of transition activities. Group membership predicted children's initial adjustment to kindergarten, parent involvement in school, and parent satisfaction with the elementary school. Practice or Policy: These findings suggest that more work is needed to develop policies and practices that ensure children and families with low incomes have transition supports available to them. This research also highlights the importance of considering how transition supports benefit parents, not just children.
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- 2024
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163. Fostering Inclusive Higher Education through Universal Design for Learning and Inclusive Pedagogy - EU and US Faculty Perceptions
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Natalia Timu?, Michelle E. Bartlett, James E. Bartlett, Suzanne Ehrlich, and Zakaria Babutsidze
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Academic debate highlights the need to develop suitable teaching and training practices to accompany the implementation of universal design for learning (UDL) and inclusive higher education policies. This study addresses this need by investigating the relationship between knowledge and utilization of inclusive pedagogy, on the one hand, and the degree of implementation of UDL principles, on the other hand. While inclusive pedagogy is uniquely different from UDL, the two hold great value for one another and contribute equally to advancing inclusive education. This research is based on a quantitative analysis of original data from an international survey, comparing US and EU responses. It reveals that all the variance across gender and country of employment in UDL implementation is due to knowledge and utilization of inclusive pedagogy. Therefore, we argue that higher education institutions must invest in increasing faculty understanding and practical implementation of inclusive teaching through professional development to achieve scalable UDL implementation. This will contribute to tackling new developments in international education, such as ensuring inclusive and equitable education for an increasingly diverse student body and preparing students for engaging in social justice and positive global change, in line with United Nations Sustainable Development Goals.
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- 2024
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164. Publisher preferences for a journal transparency tool: A modified three-round Delphi study [version 2; peer review: 2 approved with reservations]
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Jeremy Y. Ng, Henry Liu, Mehvish Masood, Rubaina Farin, Mireille Messih, Amaya Perez, IJsbrand Jan Aalbersberg, Juan Alperin, Gregory L. Bryson, Qiuxia Chen, Alan Ehrlich, Alfonso Iorio, Wim J. N. Meester, John Willinsky, Agnes Grudniewicz, Erik Cobo, Imogen Cranston, Phaedra Eve Cress, Julia Gunn, R. Brian Haynes, Bibi Sumera Keenoo, Ana Marušić, Eleanor-Rose Papas, Alan Purvis, João de Deus Barreto Segundo, Pathiyil Ravi Shankar, Pavel Stoev, Josephine Weisflog, Margaret Winker, Kelly D. Cobey, and David Moher
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Research Article ,Articles ,health literacy ,scholarly publishing ,periodicals as topic ,publications ,ethics in publishing ,journal transparency tool - Abstract
Background We propose the creation of a journal transparency tool (JTT), which will allow users to obtain information about a given scholarly journal’s operations and policies. We are obtaining preferences from different stakeholders to inform the development of this tool. This study aimed to identify the publishing community’s preferences for the JTT. Methods We conducted a modified three-round Delphi survey. Representatives from publishing houses and journal publishers were recruited through purposeful and snowball sampling. The first two Delphi rounds involved an online survey with items about JTT metrics and user features. During the third round, participants discussed and voted on JTT metric items that did not reach consensus after round 2 within a virtual consensus meeting. We defined consensus as 80% agreement to include or exclude an item in the JTT. Results Eighty-six participants completed the round 1 survey, and 43 participants (50% of round 1) completed the round 2 survey. In both rounds, respondents voted on JTT user feature and JTT metric item preferences and answered open-ended survey questions regarding the JTT. In round 3, a total of 21 participants discussed and voted on JTT metric items that did not reach consensus after round 2 during an online consensus group meeting. Fifteen out of 30 JTT metric items and none of the four JTT user feature items reached the 80% consensus threshold after all rounds of voting. Analysis of the round 3 online consensus group transcript resulted in two themes: ‘factors impacting support for JTT metrics’ and ‘suggestions for user clarity.’ Conclusions Participants suggested that the publishing community’s primary concerns for a JTT are to ensure that the tool is relevant, user-friendly, accessible, and equitable. The outcomes of this research will contribute to developing and refining the tool in accordance with publishing preferences.
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- 2025
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165. "Have You Ever Waited for Someone?": On Yehudit Hendel's Unpublished Novella "Kartisim le-Sammy Davis"
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Ehrlich, Guy
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- 2024
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166. Protocol for the Catheter-Related Early Thromboprophylaxis With Enoxaparin (CRETE) Studies
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Faustino, E. Vincent S., Kandil, Sarah B., Leroue, Matthew K., Sochet, Anthony A., Kong, Michele, Cholette, Jill M., Nellis, Marianne E., Pinto, Matthew G., Chegondi, Madhuradhar, Ramirez, Michelle, Schreiber, Hilary, Kerris, Elizabeth W. J., Glau, Christie L., Kolmar, Amanda, Muisyo, Teddy M., Sharathkumar, Anjali, Polikoff, Lee, Silva, Cicero T., Ehrlich, Lauren, Navarro, Oscar M., Spinella, Philip C., Raffini, Leslie, Taylor, Sarah N., McPartland, Tara, Shabanova, Veronika, Faustino, E. Vincent S., Holtz, Laura, McPartland, Tara, Soo, Zi Kai, Kandil, Sarah, Raffini, Leslie, Silva, Cicero, Spinella, Philip, Taylor, Sarah, Shabanova, Veronika, McCullom, Sarah, Silva, Cicero T., Ehrlich, Lauren, Navarro, Oscar M., Barbaro, Ryan, Jaffray, Julie, Warren, Joshua, Sharathkumar, Anjali, Polikoff, Lee, Leroue, Matthew K., Arellano, Venessa Hoppes, Andreaco, Alix, Baig, Natasha, Burke, Ellen, Carpenter, Todd, Dailey, Lanae, Elozory, Allie, Enabulele, Obehi, Furleng, Christiane, Gonzales, Kristen, Gordon, Katie, Gordon, Sharon, Greer, Rachel, Grimsley, Allison, Jones, Rachel, Landis, Michelle, Laurin, Jaime, Lipani, Emily, Maddux, Aline, Mansour, Rachel, Merrow, Mya, Patruccelli, Lexi, Port, Emily, Sauceda, Heidi, Shields, Elizabeth, Sierra, Yamila, Stenson, Erin, Stewart, Christine, Tutman, Jeffrey, Wilson, Patrick, Valenzuela, Ariana, Zorensky, Frances, Glau, Christie L., Arroyo, Teresa, Burnett, Ryan, Bush, Jenny, Dickey, Shawn, Douglas, Rebecca, Edioma, Glory, Famularo, Stephen, Fitzgerald, Julie, Himebauch, Adam, Juste, Nola, Levow, Cindee, McKelvey, Alanah, Sivarupan, Myooran, Slocumb, Taylor, Tizhe, Wandave, Tolkacheva, Katie, Tupil, Krithika, Nguyen, Vu, Scott, Megan, Kolmar, Amanda, Archie-Dilworth, Jessie, Kramer, Michael, Stone, Pamela, Schreiber, Hilary, Privatt, Miranda, Shad, Sadaf, Kong, Michele, Colston, Candice, Kelley, Heather, Murdock, Meghan, Cholette, Jill M., Taillie, Eileen Root, Ramirez, Michelle, Deygoo, Sandra, Groves, Kelley, Hennigan, Claire, McKinstry, Jacklyn, Martinez, Michael, Michos, Rosa, Shah, Ami, Spilios, Maria, Sochet, Anthony A., Babushkin, Tamara, Cree, Hanna, Dallas, Lexie, Nievas, I. Federico F., Teppa, Beatriz, Pinto, Matthew G., Korn, Sarah, Levasseur, Julie, Politano, Serè, Muszynski, Jennifer, Steele, Lisa, Nellis, Marianne E., Chung, Liliko, Cormack, Margaret, Svezhenets, Oleksiy, Muisyo, Teddy M., Allen, Christine, Anderson, Ashley, Huebner, Karl M., Jones, Tracy, Mitchell, Katherine, Taylor, Kaci, Kerris, Elizabeth, Hamilton, Hannah, Spears, Debra, Thomas, Neal, Chegondi, Madhuradhar, Austin, Maureen, Rao, Mahil, Faustino, E. Vincent S., Blalock, Shelby, Ecarma, Michelle, Hayes, Nancy, Kandil, Sarah, Kluko, Matthew, Quinn, Tyler, and Silva, Cicero T.
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- 2024
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167. Influence of local surface albedo variability and ice crystal shape on passive remote sensing of thin cirrus
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C. Fricke, A. Ehrlich, E. Jäkel, B. Bohn, M. Wirth, and M. Wendisch
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Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Airborne measurements of solar spectral radiance reflected by cirrus are performed with the HALO-Solar Radiation (HALO-SR) instrument onboard the High Altitude and Long Range Research Aircraft (HALO) in November 2010. The data are used to quantify the influence of surface albedo variability on the retrieval of cirrus optical thickness and crystal effective radius. The applied retrieval of cirrus optical properties is based on a standard two-wavelength approach utilizing measured and simulated reflected radiance in the visible and near-infrared spectral region. Frequency distributions of the surface albedos from Moderate resolution Imaging Spectroradiometer (MODIS) satellite observations are used to compile surface-albedo-dependent lookup tables of reflected radiance. For each assumed surface albedo the cirrus optical thickness and effective crystal radius are retrieved as a function of the assumed surface albedo. The results for the cirrus optical thickness are compared to measurements from the High Spectral Resolution Lidar (HSRL). The uncertainty in cirrus optical thickness due to local variability of surface albedo in the specific case study investigated here is below 0.1 and thus less than that caused by the measurement uncertainty of both instruments. It is concluded that for the retrieval of cirrus optical thickness the surface albedo variability is negligible. However, for the retrieval of crystal effective radius, the surface albedo variability is of major importance, introducing uncertainties up to 50%. Furthermore, the influence of the bidirectional reflectance distribution function (BRDF) on the retrieval of crystal effective radius was investigated and quantified with uncertainties below 10%, which ranges below the uncertainty caused by the surface albedo variability. The comparison with the independent lidar data allowed for investigation of the role of the crystal shape in the retrieval. It is found that if assuming aggregate ice crystals, the HSRL observations fit best with the retrieved optical thickness from HALO-SR.
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- 2014
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168. Establishment of a consensus protocol to explore the brain pathobiome in patients with mild cognitive impairment and Alzheimers disease: Research outline and call for collaboration.
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Lathe, Richard, Schultek, Nikki, Balin, Brian, Ehrlich, Garth, Auber, Lavinia, Perry, George, Breitschwerdt, Edward, Corry, David, Doty, Richard, Nara, Peter, Itzhaki, Ruth, Eimer, William, Tanzi, Rudolph, and Rissman, Robert
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Alzheimers disease ,antimicrobial ,antiviral ,bioinformatics ,blood ,cerebrospinal fluid ,collaboration ,dementia ,diagnosis ,methodology ,microbiome ,mild cognitive impairment ,olfactory neuroepithelium ,pathobiome ,polymerase chain reaction ,protocol ,sequencing ,Humans ,Alzheimer Disease ,Consensus ,Cognitive Dysfunction ,Brain - Abstract
Microbial infections of the brain can lead to dementia, and for many decades microbial infections have been implicated in Alzheimers disease (AD) pathology. However, a causal role for infection in AD remains contentious, and the lack of standardized detection methodologies has led to inconsistent detection/identification of microbes in AD brains. There is a need for a consensus methodology; the Alzheimers Pathobiome Initiative aims to perform comparative molecular analyses of microbes in post mortem brains versus cerebrospinal fluid, blood, olfactory neuroepithelium, oral/nasopharyngeal tissue, bronchoalveolar, urinary, and gut/stool samples. Diverse extraction methodologies, polymerase chain reaction and sequencing techniques, and bioinformatic tools will be evaluated, in addition to direct microbial culture and metabolomic techniques. The goal is to provide a roadmap for detecting infectious agents in patients with mild cognitive impairment or AD. Positive findings would then prompt tailoring of antimicrobial treatments that might attenuate or remit mounting clinical deficits in a subset of patients.
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- 2023
169. Integrin signaling is critical for myeloid-mediated support of T-cell acute lymphoblastic leukemia.
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Lyu, Aram, Humphrey, Ryan, Nam, Seo, Durham, Tyler, Hu, Zicheng, Arasappan, Dhivya, Horton, Terzah, and Ehrlich, Lauren
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We previously found that T-cell acute lymphoblastic leukemia (T-ALL) requires support from tumor-associated myeloid cells, which activate Insulin Like Growth Factor 1 Receptor (IGF1R) signaling in leukemic blasts. However, IGF1 is not sufficient to sustain T-ALL in vitro, implicating additional myeloid-mediated signals in leukemia progression. Here, we find that T-ALL cells require close contact with myeloid cells to survive. Transcriptional profiling and in vitro assays demonstrate that integrin-mediated cell adhesion activates downstream focal adhesion kinase (FAK)/ proline-rich tyrosine kinase 2 (PYK2), which are required for myeloid-mediated T-ALL support, partly through activation of IGF1R. Blocking integrin ligands or inhibiting FAK/PYK2 signaling diminishes leukemia burden in multiple organs and confers a survival advantage in a mouse model of T-ALL. Inhibiting integrin-mediated adhesion or FAK/PYK2 also reduces survival of primary patient T-ALL cells co-cultured with myeloid cells. Furthermore, elevated integrin pathway gene signatures correlate with higher FAK signaling and myeloid gene signatures and are associated with an inferior prognosis in pediatric T-ALL patients. Together, these findings demonstrate that integrin activation and downstream FAK/PYK2 signaling are important mechanisms underlying myeloid-mediated support of T-ALL progression.
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- 2023
170. Activation of the aryl hydrocarbon receptor inhibits neuropilin-1 upregulation on IL-2 responding CD4+ T cells
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Sandoval, Simone, Malany, Keegan, Thongphanh, Krista, Martinez, Clarisa A, Goodson, Michael L, Da Costa Souza, Felipe, Lin, Lo-Wei, Pennington, Jamie, Lein, Pamela J, Kerkvliet, Nancy I, and Ehrlich, Allison K
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Biomedical and Clinical Sciences ,Immunology ,2.1 Biological and endogenous factors ,1.1 Normal biological development and functioning - Abstract
Neuropilin-1 (Nrp1), a transmembrane protein expressed on CD4 + T cells, is mostly studied in the context of regulatory T cell (Treg) function. More recently, there is increasing evidence that Nrp1 is also highly expressed on activated effector T cells and that increases in these Nrp1-expressing CD4 + T cells correspond with immunopathology across several T cell-dependent disease models. Thus, Nrp1 may be implicated in the identification and function of immunopathologic T cells. Nrp1 downregulation in CD4 + T cells is one of the strongest transcriptional changes in response to immunoregulatory compounds that act though the aryl hydrocarbon receptor (AhR), a ligand-activated transcription factor. To better understand the link between AhR and Nrp1 expression on CD4 + T cells, Nrp1 expression was assessed in vivo and in vitro following AhR ligand treatment. In the current study, we identified that the percentage of Nrp1 expressing CD4 + T cells increases over the course of activation and proliferation in vivo . The actively dividing Nrp1 + Foxp3 - cells express the classic effector phenotype of CD44 hi CD45RB lo , and the increase in Nrp1 + Foxp3 - cells is prevented by AhR activation. In contrast, Nrp1 expression is not modulated by AhR activation in non-proliferating CD4 + T cells. The downregulation of Nrp1 on CD4 + T cells was recapitulated in vitro in cells isolated from C57BL/6 and NOD (non-obese diabetic) mice. CD4 + Foxp3 - cells expressing CD25, stimulated with IL-2, or differentiated into Th1 cells, were particularly sensitive to AhR-mediated inhibition of Nrp1 upregulation. IL-2 was necessary for AhR-dependent downregulation of Nrp1 expression both in vitro and in vivo . Collectively, the data demonstrate that Nrp1 is a CD4 + T cell activation marker and that regulation of Nrp1 could be a previously undescribed mechanism by which AhR ligands modulate effector CD4 + T cell responses.
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- 2023
171. Bridging of host-microbiota tryptophan partitioning by the serotonin pathway in fungal pneumonia.
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Renga, Giorgia, DOnofrio, Fiorella, Pariano, Marilena, Galarini, Roberta, Barola, Carolina, Stincardini, Claudia, Bellet, Marina, Ellemunter, Helmut, Lass-Flörl, Cornelia, Costantini, Claudio, Napolioni, Valerio, Ehrlich, Allison, Antognelli, Cinzia, Fini, Massimo, Garaci, Enrico, Nunzi, Emilia, and Romani, Luigina
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Humans ,Animals ,Mice ,Tryptophan ,Serotonin ,Pneumonia ,Mycoses ,Microbiota ,Aspergillosis ,Influenza ,Human - Abstract
The aromatic amino acid L-tryptophan (Trp) is essentially metabolized along the host and microbial pathways. While much is known about the role played by downstream metabolites of each pathways in intestinal homeostasis, their role in lung immune homeostasis is underappreciated. Here we have examined the role played by the Trp hydroxylase/5-hydroxytryptamine (5-HT) pathway in calibrating host and microbial Trp metabolism during Aspergillus fumigatus pneumonia. We found that 5-HT produced by mast cells essentially contributed to pathogen clearance and immune homeostasis in infection by promoting the host protective indoleamine-2,3-dioxygenase 1/kynurenine pathway and limiting the microbial activation of the indole/aryl hydrocarbon receptor pathway. This occurred via regulation of lung and intestinal microbiota and signaling pathways. 5-HT was deficient in the sputa of patients with Cystic fibrosis, while 5-HT supplementation restored the dysregulated Trp partitioning in murine disease. These findings suggest that 5-HT, by bridging host-microbiota Trp partitioning, may have clinical effects beyond its mood regulatory function in respiratory pathologies with an inflammatory component.
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- 2023
172. Control Performance Verification – The Hidden Opportunity of Ensuring High Performance of Building Control System
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Chen, Yan, Wetter, Michael, Lei, Xuechen, Lerond, Jeremy, Prakash, Anand K, Jung, Yun Joon, Ehrlich, Paul, and Vrabie, Draguna
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Control Engineering ,Mechatronics and Robotics ,Engineering - Abstract
Advances in building control have shown significant potential for improving building energy performance and decarbonization. One of the challenges to realizing those savings is the correct implementation of such advanced control strategies and regularly verifying their actual operational performance. Currently, the verification is often manually conducted, which is time-consuming, adhoc, and error-prone. To address this challenge, we introduced an automated control verification framework, aiming to create automatic verification of control performance in buildings. This framework integrates interpretations of the control requirements from recent energy codes and knowledge of conducting control verification into a knowledge base. The verification is based on time series data and thus is applicable for both trended data from a building automation system and simulation results of building energy simulations. This paper discusses the new version of the control performance verification framework, the expansion of the verification library, and the newly developed key performance indicators (KPIs) for control verification. It also provides an evaluation of the tool using both simulation and real building operation data and also an end-to-end demonstration case from importing a data set equipped with a semantic model, automatically instantiating control verification cases, and then conducting the verification and reporting the result.
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- 2023
173. Pulse-sampling fluorescence lifetime imaging: evaluation of photon economy.
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Zhou, Xiangnan, Bec, Julien, Ehrlich, Katjana, Garcia, Alba Alfonso, and Marcu, Laura
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Atomic ,Molecular and Optical Physics ,Physical Sciences ,Optical Physics ,Quantum Physics ,Electrical and Electronic Engineering ,Optics ,Communications engineering ,Electronics ,sensors and digital hardware ,Atomic ,molecular and optical physics - Abstract
This Letter presents an experimental study comparing the photon rate and photon economy of pulse sampling fluorescence lifetime imaging (PS-FLIm) with the conventional time-correlated single photon counting (TCSPC) technique. We found that PS-FLIm has a significantly higher photon detection rate (200 MHz) compared with TCSPC (2-8 MHz) but lower photon economy (4-5 versus 1-1.3). The main factor contributing to the lower photon economy in PS-FLIm is laser pulse variability. These results demonstrate that PS-FLIm offers 25× faster imaging speed than TCSPC while maintaining room light rejection in clinical settings. This makes PS-FLIm a robust technique for clinical applications.
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- 2023
174. Author Correction: Examining the healthy human microbiome concept
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Joos, Raphaela, Boucher, Katy, Lavelle, Aonghus, Arumugam, Manimozhiyan, Blaser, Martin J., Claesson, Marcus J., Clarke, Gerard, Cotter, Paul D., De Sordi, Luisa, Dominguez-Bello, Maria G., Dutilh, Bas E., Ehrlich, Stanislav D., Ghosh, Tarini Shankar, Hill, Colin, Junot, Christophe, Lahti, Leo, Lawley, Trevor D., Licht, Tine R., Maguin, Emmanuelle, Makhalanyane, Thulani P., Marchesi, Julian R., Matthijnssens, Jelle, Raes, Jeroen, Ravel, Jacques, Salonen, Anne, Scanlan, Pauline D., Shkoporov, Andrey, Stanton, Catherine, Thiele, Ines, Tolstoy, Igor, Walter, Jens, Yang, Bo, Yutin, Natalia, Zhernakova, Alexandra, Zwart, Hub, Doré, Joël, and Ross, R. Paul
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- 2024
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175. The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
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Kofler, Florian, Meissen, Felix, Steinbauer, Felix, Graf, Robert, Ehrlich, Stefan K, Reinke, Annika, Oswald, Eva, Waldmannstetter, Diana, Hoelzl, Florian, Horvath, Izabela, Turgut, Oezguen, Shit, Suprosanna, Bukas, Christina, Yang, Kaiyuan, Paetzold, Johannes C., de da Rosa, Ezequiel, Mekki, Isra, Vinayahalingam, Shankeeth, Kassem, Hasan, Zhang, Juexin, Chen, Ke, Weng, Ying, Durrer, Alicia, Cattin, Philippe C., Wolleb, Julia, Sadique, M. S., Rahman, M. M., Farzana, W., Temtam, A., Iftekharuddin, K. M., Adewole, Maruf, Anwar, Syed Muhammad, Baid, Ujjwal, Janas, Anastasia, Kazerooni, Anahita Fathi, LaBella, Dominic, Li, Hongwei Bran, Moawad, Ahmed W, Conte, Gian-Marco, Farahani, Keyvan, Eddy, James, Sheller, Micah, Pati, Sarthak, Karagyris, Alexandros, Aristizabal, Alejandro, Bergquist, Timothy, Chung, Verena, Shinohara, Russell Takeshi, Dako, Farouk, Wiggins, Walter, Reitman, Zachary, Wang, Chunhao, Liu, Xinyang, Jiang, Zhifan, Johanson, Elaine, Meier, Zeke, Familiar, Ariana, Davatzikos, Christos, Freymann, John, Kirby, Justin, Bilello, Michel, Fathallah-Shaykh, Hassan M, Wiest, Roland, Kirschke, Jan, Colen, Rivka R, Kotrotsou, Aikaterini, Lamontagne, Pamela, Marcus, Daniel, Milchenko, Mikhail, Nazeri, Arash, Weber, Marc-André, Mahajan, Abhishek, Mohan, Suyash, Mongan, John, Hess, Christopher, Cha, Soonmee, Villanueva-Meyer, Javier, Colak, Errol, Crivellaro, Priscila, Jakab, Andras, Fatade, Abiodun, Omidiji, Olubukola, Lagos, Rachel Akinola, Olatunji, O O, Khanna, Goldey, Kirkpatrick, John, Alonso-Basanta, Michelle, Rashid, Arif, Bornhorst, Miriam, Nabavizadeh, Ali, Lepore, Natasha, Palmer, Joshua, Porras, Antonio, Albrecht, Jake, Anazodo, Udunna, Aboian, Mariam, Calabrese, Evan, Rudie, Jeffrey David, Linguraru, Marius George, Iglesias, Juan Eugenio, Van Leemput, Koen, Bakas, Spyridon, Wiestler, Benedikt, Ezhov, Ivan, Piraud, Marie, and Menze, Bjoern H
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition time series typically starts with an already pathological scan. This poses problems, as many algorithms are designed to analyze healthy brains and provide no guarantee for images featuring lesions. Examples include, but are not limited to, algorithms for brain anatomy parcellation, tissue segmentation, and brain extraction. To solve this dilemma, we introduce the BraTS inpainting challenge. Here, the participants explore inpainting techniques to synthesize healthy brain scans from lesioned ones. The following manuscript contains the task formulation, dataset, and submission procedure. Later, it will be updated to summarize the findings of the challenge. The challenge is organized as part of the ASNR-BraTS MICCAI challenge., Comment: 14 pages, 6 figures
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- 2023
176. Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies
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Mason, James Paul, Werth, Alexandra, West, Colin G., Youngblood, Allison A., Woodraska, Donald L., Peck, Courtney, Lacjak, Kevin, Frick, Florian G., Gabir, Moutamen, Alsinan, Reema A., Jacobsen, Thomas, Alrubaie, Mohammad, Chizmar, Kayla M., Lau, Benjamin P., Dominguez, Lizbeth Montoya, Price, David, Butler, Dylan R., Biron, Connor J., Feoktistov, Nikita, Dewey, Kai, Loomis, N. E., Bodzianowski, Michal, Kuybus, Connor, Dietrick, Henry, Wolfe, Aubrey M., Guerrero, Matt, Vinson, Jessica, Starbuck, Peter, Litton, Shelby D, Beck, M. G., Fisch, Jean-Paul, West, Ayana, Muniz, Alexis A., Chavez, Luis, Upthegrove, Zachary T., Runyon, Brenton M., Salazar, J., Kritzberg, Jake E., Murrel, Tyler, Ho, Ella, LaFemina, Quintin Y., Elbashir, Sara I., Chang, Ethan C., Hudson, Zachary A., Nussbaum, Rosemary O., Kennedy, Kellen, Kim, Kevin, Arango, Camila Villamil, Albakr, Mohammed A., Rotter, Michael, Garscadden, A. J., Salcido-Alcontar JR, Antonio, Pearl, Harrison M., Stepaniak, Tyler, Marquez, Josie A., Marsh, Lauren, Andringa, Jesse C, Osogwin, Austin, Shields, Amanda M., Brookins, Sarah, Hach, Grace K., Clausi, Alexis R., Millican, Emily B., Jaimes, Alan A, Graham, Alaina S., Burritt, John J., Perez, J. S., Ramirez, Nathaniel, Suri, Rohan, Myer, Michael S., Kresek, Zoe M., Goldsberry, C. A., Payne, Genevieve K., Jourabchi, Tara, Hu, J., Lucca, Jeffrey, Feng, Zitian, Gilpatrick, Connor B., Khan, Ibraheem A., Warble, Keenan, Sweeney, Joshua D., Dorricott, Philip, Meyer, Ethan, Kothamdi, Yash S., Sohail, Arman S., Grell, Kristyn, Floyd, Aidan, Bard, Titus, Mathieson, Randi M., Reed, Joseph, Cisneros, Alexis, Payne, Matthew P., Jarriel, J. R., Mora, Jacqueline Rodriguez, Sundell, M. E., Patel, Kajal, Alesmail, Mohammad, Alnasrallah, Yousef A, Abdullah, Jumana T., Molina-Saenz, Luis, Tayman, K. E., Brown, Gabriel T., Kerr-Layton, Liana, Berriman-Rozen, Zachary D., Hiatt, Quinn, Kalra, Etash, Ong, Jason, Vadayar, Shreenija, Shannahan, Callie D., Benke, Evan, zhang, Jinhua, Geisman, Jane, Martyr, Cara, Ameijenda, Federico, Akruwala, Ushmi H., Nehring, Molly, Kissner, Natalie, Rule, Ian C., Learned, Tyler, Smith, Alexandra N., Mazzotta, Liam, Rounsefell, Tyndall, Eyeson, Elizabeth A., Shelby, Arlee K., Moll, Tyler S, Menke, Riley, Shahba, Hannan, House Jr., Tony A., Clark, David B., Burns, Annemarie C., de La Beaujardiere, Tristan, Trautwein, Emily D., Plantz, Will, Reeves, Justin, Faber, Ian, Buxton, B. W., Highhouse, Nigel, Landrey, Kalin, Hansen, Connor M, Chen, Kevin, Hales, Ryder Buchanan, Borgerding, Luke R., Guo, Mutian, Crow, Christian J., Whittall, Lloyd C., Simmons, Conor, Folarin, Adeduni, Parkinson, Evan J., Rahn, Anna L., Blevins, Olivia, Morelock, Annalise M., Kelly, Nicholas, Parker, Nathan L., Smith, Kelly, Plzak, Audrey E., Saeb, David, Hares, Cameron T., Parker, Sasha R., McCoy, Andrew, Pham, Alexander V., Lauzon, Megan, Kennedy, Cayla J., Reyna, Andrea B., Acosta, Daniela M. Meza, Cool, Destiny J., Steinbarth, Sheen L., Mendoza-Anselmi, Patricia, Plutt, Kaitlyn E., Kipp, Isabel M, Rakhmonova, M., Brown, Cameron L., Van Anne, Gabreece, Moss, Alexander P., Golden, Olivia, Kirkpatrick, Hunter B., Colleran, Jake R., Sullivan, Brandon J, Tran, Kevin, Carpender, Michael Andrew, Mundy, Aria T., Koenig, Greta, Oudakker, Jessica, Engelhardt, Rasce, Ales, Nolan, Wexler, Ethan Benjamin, Beato, Quinn I, Chen, Lily, Cochran, Brooke, Hill, Paula, Hamilton, Sean R., Hashiro, Kyle, Khan, Usman, Martinez, Alexa M., Brockman, Jennifer L., Mallory, Macguire, Reed, Charlie, Terrile, Richard, Singh, Savi, Watson, James Adam, Creany, Joshua B., Price, Nicholas K., Miften, Aya M., Tran, Bryn, Kamenetskiy, Margaret, Martinez, Jose R., Opp, Elena N., Huang, Jianyang, Fails, Avery M., Belei, Brennan J., Slocum, Ryan, Astalos, Justin, East, Andrew, Nguyen, Lena P., Pherigo, Callie C, East, Andrew N., Li, David Y., Nelson, Maya LI, Taylor, Nicole, Odbayar, Anand, Rives, Anna Linnea, Mathur, Kabir P., Billingsley, Jacob, Polikoff, Hyden, Driscoll, Michael, Wilson, Orion K., Lahmers, Kyle, Toon, Nathaniel J., Lippincott, Sam, Musgrave, Andrew J., Gregory, Alannah H., Pitsuean-Meier, Sedique, Jesse, Trevor, Smith, Corey, Miles, Ethan J., Kainz, Sabrina J. H. T., Ji, Soo Yeun, Nguyen, Lena, Aryan, Maryam, Dinser, Alexis M., Shortman, Jadon, Bastias, Catalina S, Umbricht, Thomas D, Cage, Breonna, Randolph, Parker, Pollard, Matthew, Simone, Dylan M., Aramians, Andrew, Brecl, Ariana E., Robert, Amanda M., Zenner, Thomas, Saldi, Maxwell, Morales, Gavin, Mendez, Citlali, Syed, Konner, Vogel, Connor Maklain, Cone, Rebecca A., Berhanu, Naomi, Carpenter, Emily, Leoni, Cecilia, Bryan, Samuel, Ramachandra, Nidhi, Shaw, Timothy, Lee, E. C., Monyek, Eli, Wegner, Aidan B., Sharma, Shajesh, Lister, Barrett, White, Jamison R., Willard, John S., Sulaiman, S. A, Blandon, Guillermo, Narayan, Anoothi, Ruger, Ryan, Kelley, Morgan A., Moreno, Angel J., Balcer, Leo M, Ward-Chene, N. R. D., Shelby, Emma, Reagan, Brian D., Marsh, Toni, Sarkar, Sucheta, Kelley, Michael P., Fell, Kevin, Balaji, Sahana, Hildebrand, Annalise K., Shoha, Dominick, Nandu, Kshmya, Tucker, Julia, Cancio, Alejandro R., Wang, Jiawei, Rapaport, Sarah Grace, Maravi, Aimee S., Mayer, Victoria A., Miller, Andrew, Bence, Caden, Koke, Emily, Fauntleroy, John T, Doermer, Timothy, Al-Ghazwi, Adel, Morgan, Remy, Alahmed, Mohammed S., Mathavan, Adam Izz Khan Mohd Reduan, Silvester, H. K., Weiner, Amanda M., Liu, Nianzi, Iovan, Taro, Jensen, Alexander V., AlHarbi, Yazeed A., Jiang, Yufan, Zhang, Jiaqi, Jones, Olivia M., Huang, Chenqi, Reh, Eileen N., Alhamli, Dania, Pettine, Joshua, Zhou, Chongrui, Kriegman, Dylan, Yang, Jianing, Ash, Kevin, Savage, Carl, Kaiser, Emily, Augenstein, Dakota N., Padilla, Jacqueline, Stark, Ethan K., Hansen, Joshua A., Kokes, Thomas, Huynh, Leslie, Sanchez-Sanchez, Gustavo, Jeseritz, Luke A., Carillion, Emma L., Vepa, Aditya V., Khanal, Sapriya, Behr, Braden, Martin, Logan S., McMullan, Jesse J., Zhao, Tianwei, Williams, Abigail K., Alqabani, Emeen, Prinster, Gale H., Horne, Linda, Ruggles-Delgado, Kendall, Otto, Grant, Gomez, Angel R., Nguyen, Leonardo, Brumley, Preston J., Venegas, Nancy Ortiz, Varela, Ilian, Brownlow, Jordi, Cruz, Avril, Leiker, Linzhi, Batra, Jasleen, Hutabarat, Abigail P., Nunes-Valdes, Dario, Jameson, Connor, Naqi, Abdulaziz, Adams, Dante Q., Biediger, Blaine B., Borelli, William T, Cisne, Nicholas A., Collins, Nathaniel A., Curnow, Tyler L., Gopalakrishnan, Sean, Griffin, Nicholas F., Herrera, Emanuel, McGarvey, Meaghan V., Mellett, Sarah, Overchuk, Igor, Shaver, Nathan, Stratmeyer, Cooper N., Vess, Marcus T., Juels, Parker, Alyami, Saleh A., Gale, Skylar, Wallace, Steven P., Hunter, Samuel C, Lonergan, Mia C., Stewart, Trey, Maksimuk, Tiffany E., Lam, Antonia, Tressler, Judah, Napoletano, Elena R., Miller, Joshua B., Roy, Marc G., Chanders, Jasey, Fischer, Emmalee, Croteau, A. J., Kuiper, Nicolas A., Hoffman, Alex, DeBarros, Elyse, Curry, Riley T., Brzostowicz, A., Courtney, Jonas, Zhao, Tiannie, Szabo, Emi, Ghaith, Bandar Abu, Slyne, Colin, Beck, Lily, Quinonez, Oliver, Collins, Sarah, Madonna, Claire A., Morency, Cora, Palizzi, Mallory, Herwig, Tim, Beauprez, Jacob N., Ghiassi, Dorsa, Doran, Caroline R., Yang, Zhanchao, Padgette, Hannah M., Dicken, Cyrus A., Austin, Bryce W., Phalen, Ethan J., Xiao, Catherine, Palos, Adler, Gerhardstein, Phillip, Altenbern, Ava L., Orbidan, Dan, Dorr, Jackson A., Rivas, Guillermo A., Ewing, Calvin A, Giebner, B. C., McEntee, Kelleen, Kite, Emily R., Crocker, K. A., Haley, Mark S., Lezak, Adrienne R., McQuaid, Ella, Jeong, Jacob, Albaum, Jonathan, Hrudka, E. M., Mulcahy, Owen T., Tanguma, Nolan C., Oishi-Holder, Sean, White, Zachary, Coe, Ryan W., Boyer, Christine, Chapman, Mitchell G., Fortino, Elise, Salgado, Jose A., Hellweg, Tim, Martinez, Hazelia K., Mitchell, Alexander J., Schubert, Stephanie H., Schumacher, Grace K, Tesdahl, Corey D, Uphoff, C. H., Vassilyev, Alexandr, Witkoff, Briahn, Wolle, Jackson R., Dice, Kenzie A., Behrer, Timothy A., Bowen, Troy, Campbell, Andrew J, Clarkson, Peter C, Duong, Tien Q., Hawat, Elijah, Lopez, Christian, Olson, Nathaniel P., Osborn, Matthew, Peou, Munisettha E., Vaver, Nicholas J., Husted, Troy, Kallemeyn, Nicolas Ian, Spangler, Ava A, Mccurry, Kyle, Schultze, Courtney, Troisi, Thomas, Thomas, Daniel, Ort, Althea E., Singh, Maya A., Soon, Caitlin, Patton, Catherine, Billman, Jayce A., Jarvis, Sam, Hitt, Travis, Masri, Mirna, Albalushi, Yusef J., Schofer, Matthew J, Linnane, Katherine B., Knott, Philip Whiting, Valencia, Whitney, Arias-Robles, Brian A., Ryder, Diana, Simone, Anna, Abrams, Jonathan M., Belknap, Annelene L., Rouse, Charlotte, Reynolds, Alexander, Petric, Romeo S. L., Gomez, Angel A., Meiselman-Ashen, Jonah B., Carey, Luke, Dias, John S., Fischer-White, Jules, Forbes, Aidan E., Galarraga, Gabriela, Kennedy, Forrest, Lawlor, Rian, Murphy, Maxwell J., Norris, Cooper, Quarderer, Josh, Waller, Caroline, Weber, Robert J., Gunderson, Nicole, Boyne, Tom, Gregory, Joshua A., Propper, Henry Austin, von Peccoz, Charles B. Beck, Branch, Donovan, Clarke, Evelyn, Cutler, Libby, Dabberdt, Frederick M., Das, Swagatam, Figueirinhas, John Alfred D., Fougere, Benjamin L., Roy, Zoe A., Zhao, Noah Y., Cox, Corben L., Barnhart, Logan D. W., Craig, Wilmsen B., Moll, Hayden, Pohle, Kyle, Mueller, Alexander, Smith, Elena K., Spicer, Benjamin C., Aycock, Matthew C., Bat-Ulzii, Batchimeg, Murphy, Madalyn C., Altokhais, Abdullah, Thornally, Noah R., Kleinhaus, Olivia R., Sarfaraz, Darian, Barnes, Grant M., Beard, Sara, Banda, David J, Davis, Emma A. B., Huebsch, Tyler J., Wagoner, Michaela, Griego, Justus, Hale, Jack J. Mc, Porter, Trevor J., Abrashoff, Riley, Phan, Denise M., Smith, Samantha M., Srivastava, Ashish, Schlenker, Jared A. W., Madsen, Kasey O., Hirschmann, Anna E., Rankin, Frederick C, Akbar, Zainab A., Blouin, Ethan, Coleman-Plante, Aislinn, Hintsa, Evan, Lookhoff, Emily, Amer, Hamzi, Deng, Tianyue, Dvorak, Peter, Minimo, Josh, Plummer, William C., Ton, Kelly, Solt, Lincoln, AlAbbas, Batool H., AlAwadhi, Areej A., Cooper, Nicholas M., Corbitt, Jessica S, Dunlap, Christian, Johnson, Owen, Malone, Ryan A., Tellez, Yesica, Wallace, Logan, Ta, Michael-Tan D., Wheeler, Nicola H., Ramirez, Ariana C., Huang, Shancheng, Mehidic, Amar, Christiansen, Katherine E, Desai, Om, Domke, Emerson N., Howell, Noah H., Allsbrook, Martin, Alnaji, Teeb, England, Colin, Siles, Nathan, Burton, Nicholas David, Cruse, Zoe, Gilmartin, Dalton, Kim, Brian T., Hattendorf, Elsie, Buhamad, Maryam, Gayou, Lily, Seglem, Kasper, Alkhezzi, Tameem, Hicks, Imari R., Fife, Ryann, Pelster, Lily M., Fix, Alexander, Sur, Sohan N., Truong, Joshua K., Kubiak, Bartlomiej, Bondar, Matthew, Shi, Kyle Z., Johnston, Julia, Acevedo, Andres B., Lee, Junwon, Solorio, William J., Johnston, Braedon Y., McCormick, Tyler, Olguin, Nicholas, Pastor, Paige J., Wilson, Evan M., Trunko, Benjamin L., Sjoroos, Chris, Adams, Kalvyn N, Bell, Aislyn, Brumage-Heller, Grant, Canales, Braden P., Chiles, Bradyn, Driscoll, Kailer H., Hill, Hallie, Isert, Samuel A., Ketterer, Marilyn, Kim, Matthew M., Mewhirter, William J., Phillips, Lance, Phommatha, Krista, Quinn, Megan S., Reddy, Brooklyn J., Rippel, Matthew, Russell, Bowman, Williams, Sajan, Pixley, Andrew M., Gapin, Keala C., Peterson, B., Ruprecht, Collin, Hardie, Isabelle, Li, Isaac, Erickson, Abbey, Gersabeck, Clint, Gopalani, Mariam, Allanqawi, Nasser, Burton, Taylor, Cahn, Jackson R., Conti, Reese, White, Oliver S., Rojec, Stewart, Hogen, Blake A., Swartz, Jason R., Dick, R., Battist, Lexi, Dunn, Gabrielle M., Gasser, Rachel, Logan, Timothy W., Sinkovic, Madeline, Schaller, Marcus T., Heintz, Danielle A., Enrich, Andrew, Sanchez, Ethan S., Perez, Freddy, Flores, Fernando, Kapla, Shaun D., Shockley, Michael C., Phillips, Justin, Rumley, Madigan, Daboub, Johnston, Karsh, Brennan J., Linders, Bridget, Chen, Sam, Do, Helen C., Avula, Abhinav, French, James M., Bertuccio, Chrisanna, Hand, Tyler, Lee, Adrianna J., Neeland, Brenna K, Salazar, Violeta, Andrew, Carter, Barmore, Abby, Beatty, Thomas, Alonzi, Nicholas, Brown, Ryan, Chandler, Olivia M., Collier, Curran, Current, Hayden, Delasantos, Megan E., Bonilla, Alberto Espinosa de los Monteros, Fowler, Alexandra A., Geneser, Julianne R., Gentry, Eleanor, Gustavsson, E. R., Hansson, Jonathan, Hao, Tony Yunfei, Herrington, Robert N., Kelly, James, Kelly, Teagan, Kennedy, Abigail, Marquez, Mathew J., Meillon, Stella, Palmgren, Madeleine L., Pesce, Anneliese, Ranjan, Anurag, Robertson, Samuel M., Smith, Percy, Smith, Trevor J, Soby, Daniel A., Stratton, Grant L., Thielmann, Quinn N., Toups, Malena C., Veta, Jenna S., Young, Trenton J., Maly, Blake, Manzanares, Xander R., Beijer, Joshua, George, Jacob D., Mills, Dylan P., Ziebold, Josh J, Chambers, Paige, Montoya, Michael, Cheang, Nathan M., Anderson, Hunter J., Duncan, Sheridan J., Ehrlich, Lauren, Hudson, Nathan C., Kiechlin, Jack L., Koch, Will, Lee, Justin, Menassa, Dominic, Oakes, S. H., Petersen, Audrey J., Bunsow, J. R. Ramirez, Bay, Joshua, Ramirez, Sacha, Fenwick, Logan D., Boyle, Aidan P., Hibbard, Lea Pearl, Haubrich, Calder, Sherry, Daniel P., Jenkins, Josh, Furney, Sebastian, Velamala, Anjali A., Krueger, Davis J., Thompson, William N., Chhetri, Jenisha, Lee, Alexis Ying-Shan, Ray, Mia G. V., Recchia, John C., Lengerich, Dylan, Taulman, Kyle, Romero, Andres C., Steward, Ellie N., Russell, Sloan, Hardwick, Dillon F., Wootten, Katelynn, Nguyen, Valerie A., Quispe, Devon, Ragsdale, Cameron, Young, Isabel, Atchley-Rivers, N. S., Stribling, Jordin L., Gentile, Julia G, Boeyink, Taylor A., Kwiatkowski, Daniel, Dupeyron, Tomi Oshima, Crews, Anastasia, Shuttleworth, Mitchell, Dresdner, Danielle C., Flackett, Lydia, Haratsaris, Nicholas, Linger, Morgan I, Misener, Jay H., Patti, Samuel, Pine, Tawanchai P., Marikar, Nasreen, Matessi, Giorgio, Routledge, Allie C., Alkaabi, Suhail, Bartman, Jessica L., Bisacca, Gabrielle E., Busch, Celeste, Edwards, Bree, Staudenmier, Caitlyn, Starling, Travis, McVey, Caden, Montano, Maximus, Contizano, Charles J., Taylor, Eleanor, McIntyre, James K., Victory, Andrew, McCammon, Glen S., Kimlicko, Aspen, Sheldrake, Tucker, Shelchuk, Grace, Von Reich, Ferin J., Hicks, Andrew J., O'neill, Ian, Rossman, Beth, Taylor, Liam C., MacDonald, William, Becker, Simone E., Han, Soonhee, O'Sullivan, Cian, Wilcove, Isaac, Brennan, David J., Hanley, Luke C., Hull, Owen, Wilson, Timothy R., Kalmus, Madison H., Berv, Owen A., Harris, Logan Swous, Doan, Chris H, Londres, Nathan, Parulekar, Anish, Adam, Megan M., Angwin, Abigail, Cabbage, Carter C., Colleran, Zachary, Pietras, Alex, Seux, Octave, Oros, Ryan, Wilkinson, Blake C., Nguyen, Khoa D, Trank-Greene, Maedee, Barone, Kevin M., Snyder, G. L., Biehle, Samuel J, Billig, Brennen, Almquist, Justin Thomas, Dixon, Alyssa M., Erickson, Benjamin, Evans, Nathan, Genne, SL, Kelly, Christopher M, Marcus, Serafima M., Ogle, Caleb, Patel, Akhil, Vendetti, Evan, Courtney, Olivia, Deel, Sean, Del Foco, Leonardo, Gjini, Michael, Haines, Jessica, Hoff, Isabelle J., Jones, M. R., Killian, Dominic, Kuehl, Kirsten, Kuester, Chrisanne, Lantz, Maxwell B., Lee, Christian J, Mauer, Graham, McKemey, Finbar K., Millican, Sarah J., Rosasco, Ryan, Stewart, T. C., VanEtten, Eleanor, Derwin, Zachary, Serio, Lauren, Sickler, Molly G., Blake, Cassidy A., Patel, Neil S., Fox, Margaret, Gray, Michael J, Ziegler, Lucas J., Kumar, Aman Priyadarshi, Polly, Madelyn, Mesgina, Sarah, McMorris, Zane, Griffin, Kyle J., Haile, L. N., Bassel, Claire, Dixon, Thomas J., Beattie, Ryan, Houck, Timothy J, Rodgers, Maeve, Trofino, Tyson R., Lukianow, Dax, Smart, Korben, Hall, Jacqueline L., Bone, Lauren, Baldwin, James O., Doane, Connor, Almohsen, Yousef A., Stamos, Emily, Acha, Iker, Kim, Jake, Samour II, Antonio E., Chavali, S., Kanokthippayakun, Jeerakit, Gotlib, Nicholas, Murphy, Ryan C., Archibald, Jack. W., Brimhall, Alexander J, Boyer, Aidan, Chapman, Logan T., Chadda, Shivank, Sibrell, Lisa, Vallery, Mia M., Conroy, Thomas C., Pan, Luke J., Balajonda, Brian, Fuhrman, Bethany E. S., Alkubaisi, Mohamed, Engelstad, Jacob, Dodrill, Joshua, Fuchs, Calvin R., Bullard-Connor, Gigi, Alhuseini, Isehaq, Zygmunt, James C., Sipowicz, Leo, Hayrynen, Griffin A., McGill, Riley M., Keating, Caden J., Hart, Omer, Cyr, Aidan St., Steinsberger, Christopher H., Thoman, Gerig, Wood, Travis M., Ingram, Julia A., Dominguez, J., Georgiades, Nathaniel James, Johnson, Matthew, Johnson, Sawyer, Pedersen, Alexander J., Ralapanawe, Anoush K, Thomas, Jeffrey J., Sato, Ginn A., Reynolds, Hope, Nasser, Liebe, Mizzi, Alexander Z., Damgaard, Olivia, Baflah, Abdulrahman A., Liu, Steven Y., Salindeho, Adam D., Norden, Kelso, Gearhart, Emily E., Krajnak, Zack, Szeremeta, Philip, Amos, Meggan, Shin, Kyungeun, Muckenthaler, Brandon A., Medialdea, Melissa, Beach, Simone, Wilson, Connor B., Adams, Elena R, Aldhamen, Ahmed, Harris, Coyle M., Hesse, Troy M., Golding, Nathan T., Larter, Zachary, Hernandez, Angel, Morales, Genaro, Traxler, Robert B., Alosaimi, Meshal, Fitton, Aidan F., Aaron, James Holland, Lee, Nathaniel F., Liao, Ryan Z., Chen, Judy, French, Katherine V., Loring, Justin, Colter, Aurora, McConvey, Rowan, Colozzi, Michael, Vann, John D., Scheck, Benjamin T., Weigand, Anthony A, Alhabeeb, Abdulelah, Idoine, Yolande, Woodard, Aiden L., Medellin, Mateo M., Ratajczyk, Nicholas O, Tobin, Darien P., Collins, Jack C., Horning, Thomas M., Pellatz, Nick, Pitten, John, Lordi, Noah, Patterson, Alyx, Hoang, Thi D, Zimmermann, Ingrid H, Wang, Hongda, Steckhahn, Daniel, Aradhya, Arvind J., Oliver, Kristin A., Cai, Yijian, Wang, Chaoran, Yegovtsev, Nikolay, Wu, Mengyu, Ganesan, Koushik, Osborne, Andrew, Wickenden, Evan, Meyer, Josephine C., Chaparro, David, Visal, Aseem, Liu, Haixin, Menon, Thanmay S., Jin, Yan, Wilson, John, Erikson, James W., Luo, Zheng, Shitara, Nanako, Nelson, Emma E, Geerdts, T. R., Ortiz, Jorge L Ramirez, and Lewandowski, H. J.
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Astrophysics - Solar and Stellar Astrophysics - Abstract
Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counter-intuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, $\alpha=2$ as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed $>$600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: pre-flare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that $\alpha = 1.63 \pm 0.03$. This is below the critical threshold, suggesting that Alfv\'en waves are an important driver of coronal heating., Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The Astrophysical Journal on 2023-05-09, volume 948, page 71
- Published
- 2023
- Full Text
- View/download PDF
177. The fine-scale structure of the trade wind cumuli over Barbados – an introduction to the CARRIBA project
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H. Siebert, M. Beals, J. Bethke, E. Bierwirth, T. Conrath, K. Dieckmann, F. Ditas, A. Ehrlich, D. Farrell, S. Hartmann, M. A. Izaguirre, J. Katzwinkel, L. Nuijens, G. Roberts, M. Schäfer, R. A. Shaw, T. Schmeissner, I. Serikov, B. Stevens, F. Stratmann, B. Wehner, M. Wendisch, F. Werner, and H. Wex
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Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
The CARRIBA (Cloud, Aerosol, Radiation and tuRbulence in the trade wInd regime over BArbados) project, focused on high resolution and collocated measurements of thermodynamic, turbulent, microphysical, and radiative properties of trade wind cumuli over Barbados, is introduced. The project is based on two one-month field campaigns in November 2010 (climatic wet season) and April 2011 (climatic dry season). Observations are based on helicopter-borne and ground-based measurements in an area of 100 km2 off the coast of Barbados. CARRIBA is accompanied by long-term observations at the Barbados Cloud Observatory located at the East coast of Barbados since early in 2010 and which provides a longer-term context for the CARRIBA measurements. The deployed instrumentation and sampling strategy are presented together with a classification of the meteorological conditions. The two campaigns were influenced by different air masses advected from the Caribbean area, the Atlantic Ocean, and the African continent which led to distinct aerosol conditions. Pristine conditions with low aerosol particle number concentrations of ~100 cm3 were alternating with periods influenced by Saharan dust or aerosol from biomass burning resulting in comparably high number concentrations of ~ 500 cm3. The biomass burning aerosol was originating from both the Caribbean area and Africa. The shallow cumulus clouds responded to the different aerosol conditions with a wide range of mean droplet sizes and number concentrations. Two days with different aerosol and cloud microphysical properties but almost identical meteorological conditions have been analyzed in detail. The differences in the droplet number concentration and droplet sizes appear not to show any significant change for turbulent cloud mixing, but the relative roles of droplet inertia and sedimentation in initiating coalescence, as well as the cloud reflectivity, do change substantially.
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- 2013
- Full Text
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178. Retrieval of cirrus optical thickness and assessment of ice crystal shape from ground-based imaging spectrometry
- Author
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M. Schäfer, E. Bierwirth, A. Ehrlich, F. Heyner, and M. Wendisch
- Subjects
Environmental engineering ,TA170-171 ,Earthwork. Foundations ,TA715-787 - Abstract
A ground-based hyperspectral imaging spectrometer (AisaEAGLE, manufactured by Specim Ltd., Finland) is applied to measure downward spectral radiance fields with high spatial (1024 spatial pixels within 36.7° field of view), spectral (488 spectral pixels, 400–970 nm, 1.25 nm full width at half maximum), and temporal (4–30 Hz) resolution. The calibration, measurement and data evaluation procedures are introduced. A new method is presented to retrieve the cirrus optical thickness (τci) using the spectral radiance data collected by AisaEAGLE. The data were collected during the Cloud Aerosol Radiation and tuRbulence of trade wInd cumuli over BArbados (CARRIBA) project in 2011. The spatial inhomogeneity of the investigated cirrus is characterised by the standard deviation of the retrieved τci as well as the width of its frequency distribution. By comparing measured and simulated downward solar spectral radiance as a function of scattering angle, some evidence of the prevailing cirrus ice crystal shape can be obtained and subsequently used to substantiate the retrieval of τci. The sensitivity of the retrieval method with respect to surface albedo, effective radius (reff), cloud height and ice crystal shape is quantified. An enhanced sensitivity of the retrieved τci is found with respect to the surface albedo (up to 30%) and ice crystal shape (up to 90%). The sensitivity with regard to the effective ice crystal radius (≤ 5%) and the cloud height (≤ 0.5%) is rather small and can be neglected.
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- 2013
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179. Optical thickness and effective radius of Arctic boundary-layer clouds retrieved from airborne nadir and imaging spectrometry
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E. Bierwirth, A. Ehrlich, M. Wendisch, J.-F. Gayet, C. Gourbeyre, R. Dupuy, A. Herber, R. Neuber, and A. Lampert
- Subjects
Environmental engineering ,TA170-171 ,Earthwork. Foundations ,TA715-787 - Abstract
Arctic boundary-layer clouds in the vicinity of Svalbard (78° N, 15° E) were observed with airborne remote sensing and in situ methods. The cloud optical thickness and the droplet effective radius are retrieved from spectral radiance data from the nadir spot (1.5°, 350–2100 nm) and from a nadir-centred image (40°, 400–1000 nm). Two approaches are used for the nadir retrieval, combining the signal from either two or five wavelengths. Two wavelengths are found to be sufficient for an accurate retrieval of the cloud optical thickness, while the retrieval of droplet effective radius is more sensitive to the number of wavelengths. Even with the comparison to in-situ data, it is not possible to definitely answer the question which method is better. This is due to unavoidable time delays between the in-situ measurements and the remote-sensing observations, and to the scarcity of vertical in-situ profiles within the cloud.
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- 2013
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180. Extreme Biomimetik
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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181. Epilog
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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182. Kollagene aus wirbellosen Meerestieren
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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183. Verbundwerkstoffe auf Chitin-Protein-Basis
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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184. Chitin
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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185. Halogenierte Biokompositen
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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186. Adhäsive Gele von marinen Gastropoden (Mollusca)
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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187. Biozemente
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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188. Kapselförmige Bioelastomere von Wellhornschnecken
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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189. Abductin
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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190. Resilin
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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191. Byssus: Von der Inspiration zur Entwicklung neuartiger Verbundwerkstoffe
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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192. Gummi-ähnliche Bioelastomere marinen Ursprungs
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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193. Adhäsionssysteme bei Stachelhäutern
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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194. Gorgonin
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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195. Rätselhaftes Strukturprotein Spongin
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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196. Lebende Knochenimplantate aus Bambuskorallen
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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197. Hierarchische biologische Materialien
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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198. Der Kreislauf: Biomineralisierung-Demineralisierung-Remineralisierung in der Natur
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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199. Schwamm-Biosilikat – Perfektionismus in Glas
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
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200. Zwischenraummineralisierung in der zweischichtigen organischen Matrix der Tiefsee-Bambuskoralle (Anthozoa: Gorgonacea: Isididae)
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Ehrlich, Hermann and Ehrlich, Hermann
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- 2024
- Full Text
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