Violent and non-violent offending in patients with schizophrenia: Exploring influences and differences via machine learning von Sonnweber, Martina, Lau, Steffen, Kirchebner, Johannes

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Early embryogenesis in flowering plants: setting up the basic body pattern von Lau, Steffen, Slane, Daniel, Herud, Ole, Kong, Jixiang, Jürgens, Gerd

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Twin Plants from Supernumerary Egg Cells in Arabidopsis von Kong, Jixiang, Lau, Steffen, Jürgens, Gerd

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Offenders and non-offenders with schizophrenia spectrum disorders: Do they really differ in known risk factors for aggression? von Kirchebner, Johannes, Lau, Steffen, Machetanz, Lena

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Escape and absconding among offenders with schizophrenia spectrum disorder - an explorative analysis of characteristics von Kirchebner, Johannes, Lau, Steffen, Sonnweber, Martina

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Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach von Kirchebner, Johannes, Günther, Moritz Philipp, Sonnweber, Martina, King, Alice, Lau, Steffen

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Embryogenesis - the humble beginnings of plant life von De Smet, Ive, Lau, Steffen, Mayer, Ulrike, Jürgens, Gerd

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Evolving Complexity of the Auxin Pathway von Lau, Steffen, Jürgens, Gerd, De Smet, Ive

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Advantages of Machine Learning in Forensic Psychiatric Research—Uncovering the Complexities of Aggressive Behavior in Schizophrenia von Hofmann, Lena A., Lau, Steffen, Kirchebner, Johannes

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Identifying Direct Coercion in a High Risk Subgroup of Offender Patients With Schizophrenia via Machine Learning Algorithms von Günther, Moritz Philipp, Kirchebner, Johannes, Lau, Steffen

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Aims to Reduce Coercive Measures in Forensic Inpatient Treatment: A 9-Year Observational Study von Lau, Steffen, Brackmann, Nathalie, Mokros, Andreas, Habermeyer, Elmar

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Patients' Views With Regard to Personal Recovery in Forensic Psychiatry in German-Speaking Switzerland—An Explorative Study von Schoppmann, Susanne, Balensiefen, Joachim, Lau, Steffen, Graf, Marc, Hachtel, Henning

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Bimodular Auxin Response Controls Organogenesis in Arabidopsis von De Smet, Ive, Lau, Steffen, Voß, Ute, Vanneste, Steffen, Benjamins, René, Rademacher, Eike H., Schlereth, Alexandra, De Rybel, Bert, Vassileva, Valya, Grunewald, Wim, Naudts, Mirande, Levesque, Mitchell P., Ehrismann, Jasmin S., Inzé, Dirk, Luschnig, Christian, Benfey, Philip N., Weijers, Dolf, Van Montagu, Marc C. E., Bennett, Malcolm J., Jürgens, Gerd, Beeckman, Tom

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Suicidal Offenders and Non-Offenders with Schizophrenia Spectrum Disorders: A Retrospective Evaluation of Distinguishing Factors Using Machine Learning von Machetanz, Lena, Lau, Steffen, Habermeyer, Elmar, Kirchebner, Johannes

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Unraveling the Evolution of Auxin Signaling von De Smet, Ive, Voβ, Ute, Lau, Steffen, Wilson, Michael, Shao, Ning, Timme, Ruth E., Swarup, Ranjan, Kerr, Ian, Hodgman, Charlie, Bock, Ralph, Bennett, Malcolm, Jürgens, Gerd, Beeckman, Tom

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Maintaining social capital in offenders with schizophrenia spectrum disorder—An explorative analysis of influential factors von Hofmann, Lena A., Lau, Steffen, Kirchebner, Johannes

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Confessions and Denials When Guilty and Innocent: Forensic Patients' Self-Reported Behavior During Police Interviews von Volbert, Renate, May, Lennart, Hausam, Joscha, Lau, Steffen

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Model Building in Forensic Psychiatry: A Machine Learning Approach to Screening Offender Patients with SSD von Machetanz, Lena, Huber, David, Lau, Steffen, Kirchebner, Johannes

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Childhood Maltreatment, Psychopathology, and Offending Behavior in Patients With Schizophrenia: A Latent Class Analysis Evidencing Disparities in Inpatient Treatment Outcome von Lau, Steffen, Kirchebner, Johannes, Kling, Sabine, Euler, Sebastian, Günther, Moritz Philipp

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Die Schizophrenie im Entwurf der ICD-11 und Implikationen für die Beurteilung der Schuldfähigkeit von Lau, Steffen

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