495 research outputs found
Informational integration of product development software in the automotive industry : the ULEO approach
Macrocycle Therapeutics to Treat Life-threatening Diseases
Polyphor's macrocycle platform led to the discovery of novel antibiotics addressing specifically Gramnegative bacteria by targeting outer membrane proteins. Furthermore, POL6014, an inhibitor of neutrophile elastase and balixafortide, a CXCR4 inhibitor have been discovered and developed
from the platform. Currently a combination of balixafortide and eribulin is in Phase III clinical trial for the treatment of patients with advanced metastatic HER2-negative breast cancer
Freundliche Antwort auff die zehen ersten von den XL Fragen dess Tit. Herrn Abraham Hinckelmanns [...] betreffend die Lehre, so in Jac. Böhmens Schrifften enthalten [...]
http://tartu.ester.ee/record=b1214197~S1*es
Verlangete christliche Beantwortung deren viertzig wichtigen Fragen, betreffende Jacob Böhmens Lehre, so in seinen Schrifften soll enthalten seyn, welche von H. Abraham Hinckelman allen Liebhabern derselbigen sanffmühtig zu beantworten
http://tartu.ester.ee/record=b1214115~S1*es
Die vergnügte Hochzeit-Freude, Des Wohl-Edlen und Wohlgelahrten Herrn, Herrn Christoph Wieseckens, Wohl-verdienten Sub-Rectoris der Stadt-Schulen zu Ratheno, Des Wohl-Edlen und Wohl-Fürnehmen Herrn Erdmann Wieseckens, Fürnehmen Bürgers, Schiffers, Kauff- und Handelsmanns in der Neu-Stadt Brandenburg, Herr Sohn, Als derselbe mit der Wohl-Edlen, Viel-Ehr und Tugendbegabten Jungfer, Jungfer Sophien Gottlieben Breuelin, Des Wohl-Ehrwürdigen und Wohlgelahrten Herrn Zacharias Breuels, Wohl-verdienten Pastoris zu Buckau, Steckelitzdorff und Wodicke, Jungfer Tochter, Den 15. Novembr. dieses ietztlauffenden 1724. Jahres bey volckreicher Versamlung ehelich copuliret worden, Hat glückwünschend vermehren und seinem Herrn Collegen und werthesten Freunde darreichen wollen Julius Johann Zimmermann, Cantor der Schulen zu Ratheno.
Ohnmaßgebliches Politisches Erachten über die Möglichkeit der Schiffbar- oder Fahrbarmachung der von der Stadt Neubrandenburg bis in die Peene gehenden Tollensee
Als Der Magnificus, Hoch-würdige und Hochgelahrte, Herr, Herr Johann Joachim Weidener, Der Heil. Schrifft Weltberühmter Doctor ... am 7ten Novembr. 1730. Das Rectorat Der Rostockischen Universitæt abermahl übernahm, Wolte, ... Respect bezeugen Joachim Johann Daniel Zimmermann, Der heil. Schrifft Beflissener
Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study.
BACKGROUND
New advances in the field of machine learning make it possible to track facial emotional expression with high resolution, including micro-expressions. These advances have promising applications for psychotherapy research, since manual coding (e.g., the Facial Action Coding System), is time-consuming.
PURPOSE
We tested whether this technology can reliably identify in-session emotional expression in a naturalistic treatment setting, and how these measures relate to the outcome of psychotherapy.
METHOD
We applied a machine learning emotion classifier to video material from 389 psychotherapy sessions of 23 patients with borderline personality pathology. We validated the findings with human ratings according to the Clients Emotional Arousal Scale (CEAS) and explored associations with treatment outcomes.
RESULTS
Overall, machine learning ratings showed significant agreement with human ratings. Machine learning emotion classifiers, particularly the display of positive emotions (smiling and happiness), showed medium effect size on median-split treatment outcome (d = 0.3) as well as continuous improvement (r = 0.49, p < 0.05). Patients who dropped out form psychotherapy, showed significantly more neutral expressions, and generally less social smiling, particularly at the beginning of psychotherapeutic sessions.
CONCLUSIONS
Machine learning classifiers are a highly promising resource for research in psychotherapy. The results highlight differential associations of displayed positive and negative feelings with treatment outcomes. Machine learning emotion recognition may be used for the early identification of drop-out risks and clinically relevant interactions in psychotherapy
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