Zobrazeno 1 - 10
of 7 099
pro vyhledávání: '"Margraf"'
Autor:
Arleta A. Luczejko, Klara Hagelweide, Rudolf Stark, Sarah Weigelt, Hanna Christiansen, Meinhard Kieser, Kathleen Otto, Corinna Reck, Ricarda Steinmayr, Linda Wirthwein, Anna-Lena Zietlow, Christina Schwenck, the COMPARE-family research group, Stracke, Gilbert, Eitenmüller, Awounvo, Kirchner, Klose, Buntrock, Ebert, Schlarb, Margraf, Schneider, Friedrich, Teismann, Stark, Metzger, Brakemeier, Wardenga, Hauck, Glombiewski, Schröder, Heider, Jungmann, Witthöft, Rief
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
ObjectiveAlthough empathy is known to be a strength, recent studies suggest that empathy can be a risk factor for psychopathology under certain conditions in children. This study examines parental mental illness as such a condition. Further, it aims
Externí odkaz:
https://doaj.org/article/c37692938a364fab83c28a95581b1f0c
Autor:
Vanessa Seipp, Klara Hagelweide, Rudolf Stark, Sarah Weigelt, Hanna Christiansen, Meinhard Kieser, Kathleen Otto, Corinna Reck, Ricarda Steinmayr, Linda Wirthwein, Anna–Lena Zietlow, Christina Schwenck, the COMPARE-Family Research Group, Stracke, Gilbert, Eitenmüller, Awounvo, Kirchner, Klose, Buntrock, Ebert, Schlarb, Margraf, Schneider, Friedrich, Teismann, Stark, Metzger, Brakemeier, Wardenga, Hauck, Glombiewski, Schröder, Heider, Jungmann, Witthöft, Rief
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
ObjectiveChildren of parents with a mental illness are at heightened risk to develop a mental illness themselves due to genetics and environmental factors. Although parenting stress (PS) is known to be associated with increased psychopathology in par
Externí odkaz:
https://doaj.org/article/e9cb841968b04cb9b240f149417a2771
Cartesian Genetic Programming (CGP) suffers from a specific limitation: Positional bias, a phenomenon in which mostly genes at the start of the genome contribute to a program output, while genes at the end rarely do. This can lead to an overall worse
Externí odkaz:
http://arxiv.org/abs/2410.00518
Autor:
Pracht, Philipp, Pillai, Yuthika, Kapil, Venkat, Csányi, Gábor, Gönnheimer, Nils, Vondrák, Martin, Margraf, Johannes T., Wales, David J.
Vibrational spectroscopy is a cornerstone technique for molecular characterization and offers an ideal target for the computational investigation of molecular materials. Building on previous comprehensive assessments of efficient methods for infrared
Externí odkaz:
http://arxiv.org/abs/2408.08174
Autor:
Reaz, Khan, Ardoin, Thibaud, Muth, Lea, Margraf, Marian, Wunder, Gerhard, Kholghi, Mahsa, Jansen, Kai, Zenger, Christian, Schmidt, Julian, Köppe, Enrico, Utkovski, Zoran, Bjelakovic, Igor, Schmieder, Mathis, Dressel, Olaf
Ultra-Wideband (UWB) technology re-emerges as a groundbreaking ranging technology with its precise micro-location capabilities and robustness. This paper highlights the security dimensions of UWB technology, focusing in particular on the intricacies
Externí odkaz:
http://arxiv.org/abs/2408.13124
Autor:
Margraf, Valentin, Wever, Marcel, Gilhuber, Sandra, Tavares, Gabriel Marques, Seidl, Thomas, Hüllermeier, Eyke
In settings where only a budgeted amount of labeled data can be afforded, active learning seeks to devise query strategies for selecting the most informative data points to be labeled, aiming to enhance learning algorithms' efficiency and performance
Externí odkaz:
http://arxiv.org/abs/2406.17322
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 9, p e20326 (2020)
BackgroundPsychological therapies are effective treatments for hypoactive sexual desire dysfunction (HSDD; formerly hypoactive sexual desire disorder), a common sexual dysfunction among women. Access to evidence-based treatments, however, remains dif
Externí odkaz:
https://doaj.org/article/74c78ba0f7d84dc8b26738b9875828f9
Autor:
Batatia, Ilyes, Benner, Philipp, Chiang, Yuan, Elena, Alin M., Kovács, Dávid P., Riebesell, Janosh, Advincula, Xavier R., Asta, Mark, Avaylon, Matthew, Baldwin, William J., Berger, Fabian, Bernstein, Noam, Bhowmik, Arghya, Blau, Samuel M., Cărare, Vlad, Darby, James P., De, Sandip, Della Pia, Flaviano, Deringer, Volker L., Elijošius, Rokas, El-Machachi, Zakariya, Falcioni, Fabio, Fako, Edvin, Ferrari, Andrea C., Genreith-Schriever, Annalena, George, Janine, Goodall, Rhys E. A., Grey, Clare P., Grigorev, Petr, Han, Shuang, Handley, Will, Heenen, Hendrik H., Hermansson, Kersti, Holm, Christian, Jaafar, Jad, Hofmann, Stephan, Jakob, Konstantin S., Jung, Hyunwook, Kapil, Venkat, Kaplan, Aaron D., Karimitari, Nima, Kermode, James R., Kroupa, Namu, Kullgren, Jolla, Kuner, Matthew C., Kuryla, Domantas, Liepuoniute, Guoda, Margraf, Johannes T., Magdău, Ioan-Bogdan, Michaelides, Angelos, Moore, J. Harry, Naik, Aakash A., Niblett, Samuel P., Norwood, Sam Walton, O'Neill, Niamh, Ortner, Christoph, Persson, Kristin A., Reuter, Karsten, Rosen, Andrew S., Schaaf, Lars L., Schran, Christoph, Shi, Benjamin X., Sivonxay, Eric, Stenczel, Tamás K., Svahn, Viktor, Sutton, Christopher, Swinburne, Thomas D., Tilly, Jules, van der Oord, Cas, Varga-Umbrich, Eszter, Vegge, Tejs, Vondrák, Martin, Wang, Yangshuai, Witt, William C., Zills, Fabian, Csányi, Gábor
Machine-learned force fields have transformed the atomistic modelling of materials by enabling simulations of ab initio quality on unprecedented time and length scales. However, they are currently limited by: (i) the significant computational and hum
Externí odkaz:
http://arxiv.org/abs/2401.00096