Results 41 to 50 of about 249 (187)

LigHTS: Biomimetic Hydrogel Photo‐Fabrication for Imaging‐Based Ultra‐High‐Throughput Screening

Advanced Science, EarlyView.
LigHTS removes a key bottleneck for ultra‐high‐throughput screening (UHTS) by enabling biomimetic hydrogel microenvironments to be manufactured directly in standard multiwell plates. A single, collimated UV exposure with formulation‐tuned light penetration patterns an entire plate with UHTS‐grade uniformity (<20% CV), producing structured GelMA films ...
Alessandro Enrico, Sara Rigolli, Julius Zimmermann, Melissa Pezzotti, Eloisa Torchia, Moises Di Sante, Ferdinando Auricchio, Francesco S. Pasqualini   +7 more
wiley   +1 more source

GAIA Survey of Galactic Eclipsing Binaries [PDF]

International Astronomical Union Colloquium, 2002
AbstractThe general importance and capabilities of observations of eclipsing binaries by the forthcoming ESA mission GAIA are discussed. Availability of spectroscopic observations and a large number of photometric bands on board will make it possible to reliably determine physical parameters for ∼ 105 binary stars.
openaire   +2 more sources

Free Charge Generation in Organic Photoconversion Devices–the Impact of Electrostatic Potentials

Advanced Energy Materials, EarlyView.
Free charge generation in organic photovoltaic and photodetector devices typically requires an external driving force to separate bound excitons formed upon photoexcitation. This review details how electrostatic potentials, arising from molecular charge distributions in organic semiconductors, can impact interfacial energetic landscapes and promote ...
Emily J. Yang, Song Yi Park, Vick Y. Qiu, Ji‐Seon Kim   +3 more
wiley   +1 more source

120 Minima timings of eclipsing binaries

Information Bulletin on Variable Stars, 2017
We present 120 times of minima of 8 eclipsing binaries.
Palafouta, S., Gazeas, K., Christopoulou, E., Bakogianni, V., Dervou, M., Loukaidou, G.   +5 more
openaire   +2 more sources

KEPLER ECLIPSING BINARY STARS. VII. THE CATALOG OF ECLIPSING BINARIES FOUND IN THE ENTIRE KEPLER DATA SET [PDF]

The Astronomical Journal, 2016
ABSTRACT The primary Kepler Mission provided nearly continuous monitoring of ∼200,000 objects with unprecedented photometric precision. We present the final catalog of eclipsing binary systems within the 105 deg2 Kepler field of view. This release incorporates the full extent of the data from the primary mission (Q0-Q17
Kirk, Brian, Conroy, Kyle, Prša, Andrej, Abdul-Masih, Michael, Kochoska, Angela, Matijevič, Gal, Hambleton, Kelly, Barclay, Thomas, Bloemen, Steven, Boyajian, Tabetha, Doyle, Laurance R., Fulton, B. J., Hoekstra, Abe Johannes, Jek, Kian, Kane, Stephen R., Kostov, Veselin, Latham, David, Mazeh, Tsevi, Orosz, Jerome A., Pepper, Joshua, Quarles, Billy, Ragozzine, Darin, Shporer, Avi, Southworth, John, Stassun, Keivan, Thompson, Susan E., Welsh, William F., Agol, Eric, Derekas, Aliz, Devor, Jonathan, Fischer, Debra, Green, Gregory, Gropp, Jeff, Jacobs, Tom, Johnston, Cole, Lacourse, Daryll Matthew, Saetre, Kristian, Schwengeler, Hans, Toczyski, Jacek, Werner, Griffin, Garrett, Michael, Gore, Joanna, Martinez, Arturo O., Spitzer, Isaac, Stevick, Justin, Thomadis, Pantelis C., Vrijmoet, Eliot Halley, Yenawine, Mitchell, Batalha, Natalie, Borucki, William   +49 more
openaire   +7 more sources

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

Advanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski, Chenyan Wang, Xinrui Wang, Huaxiao Yang, Zhao Qin, Zhen Ma   +5 more
wiley   +1 more source

3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback

Advanced Intelligent Systems, EarlyView.
A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu, Sangwon Lee, Min Jun Kim   +2 more
wiley   +1 more source

A Portal‐Preorganized Cucurbit[7]uril‐Ruthenium Conjugate Enables Motif‐Selective Protein Sensing

Angewandte Chemie International Edition, EarlyView.
Reprogramming cucurbit[7]uril (CB7) recognition through portal engineering transforms an optically silent host into a motif‐selective photoluminescent receptor. The portal‐preorganized CB7‐Rubpy conjugate directly reports changes in aromatic motif accessibility, enabling optical sensing of protein misfolding and refolding.
Patrick Gruhs, Albert Kraft, Vahideh Mahram, Marco Neumaier, Papri Chakraborty, Emily Janz, Maria Vittoria Balli, Pierre Picchetti, Luca Prodi, Manfred Kappes, Frank Biedermann   +10 more
wiley   +1 more source

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez, José Manuel Santos‐Jaén, María Estefanía Sánchez Pacheco, Fernando José Zambrano Farías   +3 more
wiley   +1 more source