The MICADO first light imager for the ELT: overview and current Status

Autor: Sturm, E., Davies, R., Alves, J., Clénet, Y., Kotilainen, J., Monna, A., Nicklas, H., Pott, J. -U., Tolstoy, E., Vulcani, B., Achren, J., Annadevara, S., Anwand-Heerwart, H., Arcidiacono, C., Barboza, S., Barl, L., Baudoz, P., Bender, R., Bezawada, N., Biondi, F., Bizenberger, P., Blin, A., Boné, A., Bonifacio, P., Borgo, B., Born, J. van den, Buey, T., Cao, Y., Chapron, F., Chauvin, G., Chemla, F., Cloiseau, K., Cohen, M., Collin, C., Czoske, O., Dette, J. -O., Deysenroth, M., Dijkstra, E., Dreizler, S., Dupuis, O., van Egmond, G., Eisenhauer, F., Elswijk, E., Emslander, A., Fabricius, M., Fasola, G., Ferreira, F., Schreiber, N. M. Förster, Fontana, A., Gaudemard, J., Gautherot, N., Gendron, E., Gennet, C., Genzel, R., Ghouchou, L., Gillessen, S., Gratadour, D., Grazian, A., Grupp, F., Guieu, S., Gullieuszik, M., de Haan, M., Hartke, J., Hartl, M., Haussmann, F., Helin, T., Hess, H. -J., Hofferbert, R., Huber, H., Huby, E., Huet, J. -M., Ives, D., Janssen, A., Jaufmann, P., Jilg, T., Jodlbauer, D., Jost, J., Kausch, W., Kellermann, H., Kerber, F., Kravcar, H., Kravchenko, K., Kulcsár, C., Kunkarayakti, H., Kunst, P., Kwast, S., Lang, F., Lange, J., Lapeyrere, V., Ruyet, B. Le, Leschinski, K., Locatelli, H., Massari, D., Mattila, S., Mei, S., Merlin, F., Meyer, E., Michel, C., Mohr, L., Montargès, M., Müller, F., Münch, N., Navarro, R., Neumann, U., Neumayer, N., Neumeier, L., Pedichini, F., Pflüger, A., Piazzesi, R., Pinard, L., Porras, J., Portaluri, E., Przybilla, N., Rabien, S., Raffard, J., Raggazoni, R., Ramlau, R., Ramos, J., Ramsay, S., Raynaud, H. -F., Rhode, P., Richter, A., Rix, H. -W., Rodenhuis, M., Rohloff, R. -R., Romp, R., Rousselot, P., Sabha, N., Sassolas, B., Schlichter, J., Schuil, M., Schweitzer, M., Seemann, U., Sevin, A., Simioni, M., Spallek, L., Sönmez, A., Suuronen, J., Taburet, S., Thomas, J., Tisserand, E., Vaccari, P., Valenti, E., Kleijn, G. Verdoes, Verdugo, M., Vidal, F., Wagner, R., Wegner, M., van Winden, D., Witschel, J., Zanella, A., Zeilinger, W., Ziegleder, J., Ziegler, B.

MICADO is a first light instrument for the Extremely Large Telescope (ELT), set to start operating later this decade. It will provide diffraction limited imaging, astrometry, high contrast imaging, and long slit spectroscopy at near-infrared waveleng

Externí odkaz: http://arxiv.org/abs/2408.16396

Adherence to long-term telemonitoring-supported physical activity in patients with chronic heart failure

Autor: Pauline Lödding, Sebastian Beyer, Christoph Pökel, Momme Kück, Christian Leps, Lukas Radziwolek, Arno Kerling, Sven Haufe, Antina Schulze, Stefan Kwast, Johannes Voß, Christian Kubaile, Uwe Tegtbur, Martin Busse

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)

Abstract Chronic heart failure (CHF) is one of the most common diseases with a prevalence of 1–2% in adults, disproportionately affecting the elderly. Despite consistent drug therapy, physical activity (PA) is an integral part of current guidelines

Externí odkaz: https://doaj.org/article/4fa2a7376a9d4faea69d6e3e4ac56320

Oral pimonidazole unveils clinicopathologic and epigenetic features of hypoxic tumour aggressiveness in localized prostate cancer

Autor: Xinpei Ci, Sujun Chen, Rui Zhu, Mojgan Zarif, Rahi Jain, Wangyuan Guo, Matthew Ramotar, Linsey Gong, Wenjie Xu, Olivia Singh, Sheila Mansouri, Gelareh Zadeh, Gong-Hong Wei, Wei Xu, Robert Bristow, Alejandro Berlin, Marianne Koritzinsky, Theodorus van der Kwast, Housheng Hansen He

Publikováno v: BMC Cancer, Vol 24, Iss 1, Pp 1-12 (2024)

Abstract Background Tumor hypoxia is associated with prostate cancer (PCa) treatment resistance and poor prognosis. Pimonidazole (PIMO) is an investigational hypoxia probe used in clinical trials. A better understanding of the clinical significance a

Externí odkaz: https://doaj.org/article/0536003d350a4933803620ed43e2f7a7

Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI

Autor: Jethro C. C. Kwong, Jeremy Wu, Shamir Malik, Adree Khondker, Naveen Gupta, Nicole Bodnariuc, Krishnateja Narayana, Mikail Malik, Theodorus H. van der Kwast, Alistair E. W. Johnson, Alexandre R. Zlotta, Girish S. Kulkarni

Publikováno v: npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)

Abstract Accurate prediction of recurrence and progression in non-muscle invasive bladder cancer (NMIBC) is essential to inform management and eligibility for clinical trials. Despite substantial interest in developing artificial intelligence (AI) ap

Externí odkaz: https://doaj.org/article/30b7b1ffba8f4f0db8849c53dde71700

Uncertainty assessment of satellite remote-sensing-based evapotranspiration estimates: a systematic review of methods and gaps

Autor: B. N. Tran, J. van der Kwast, S. Seyoum, R. Uijlenhoet, G. Jewitt, M. Mul

Publikováno v: Hydrology and Earth System Sciences, Vol 27, Pp 4505-4528 (2023)

Satellite remote sensing (RS) data are increasingly being used to estimate total evaporation, often referred to as evapotranspiration (ET), over large regions. Since RS-based ET (RS-ET) estimation inherits uncertainties from several sources, many ava

Externí odkaz: https://doaj.org/article/4a5980f015c94c63b1732e22d47131cb