Honesty-Humility at School: A Person x Situation Approach to Explain Students' Social Behavior

Persönlichkeitsunterschiede zwischen Menschen sowie Merkmale von Situationen stellen zwei zentrale Ansätze dar, um menschliches Verhalten zu erklären. Der basale Persönlichkeitsfaktor Ehrlichkeit-Bescheidenheit, der Tendenzen zu aufrichtigem und fairem Verhalten sowie zu einer unbedingten Kooperation beinhaltet, ist insbesondere dazu geeignet, Unterschiede im Sozialverhalten von Menschen zu erklären. Dabei impliziert die Theorie zu Ehrlichkeit-Bescheidenheit Annahmen darüber, inwiefern die Persönlichkeitseigenschaft in Wechselwirkung mit Situations- und Kontextmerkmalen steht: Personen mit hohen Ehrlichkeit-Bescheidenheitswerten zeigen, so die Hypothese, relativ unabhängig von Situationsmerkmalen positives Sozialverhalten. Hingegen ist zu erwarten, dass Menschen mit niedrigeren Ehrlichkeit-Bescheidenheitswerten positives Sozialverhalten zeigen, wenn entsprechende Situationsanreize dazu bestehen, oder der Kontext dazu einlädt, während sie jedoch unter weniger günstigen Umständen negativeres Sozialverhalten zeigen sollten. Anhand eines multimodalen Ansatzes überprüfte die Dissertation in drei Studien die Annahmen über Ehrlichkeit-Bescheidenheit in Hinblick auf das Sozialverhalten von Kindern und Jugendlichen. Es wurde der Einfluss von Ehrlichkeit-Bescheidenheit, von Situationen und Kontexten sowie der Interaktion zwischen dem Persönlichkeitsfaktor und den Situationen/Kontexten untersucht. Es zeigte sich durchgängig ein negativer Effekt von Ehrlichkeit-Bescheidenheit auf antisoziales und ein positiver Effekt auf prosoziales Verhalten. Auch die Merkmale der Situationen und Kontexte hatten jeweils Effekte auf beide Arten des Sozialverhaltens der Heranwachsenden. Als von zentraler Bedeutung für diese Arbeit erwiesen sich Interaktionsmuster, die der Konzeptualisierung von Ehrlichkeit-Bescheidenheit entsprechen. In der Dissertation werden die Ergebnisse hinsichtlich ihrer Bedeutung für die Forschung und die Förderung von Sozialverhalten diskutiert, um abschließend Vorschläge für weiterführende Untersuchungen zu unterbreiten

Automatic assessment of spoken language proficiency of non-native children

This paper describes technology developed to automatically grade Italian students (ages 9-16) on their English and German spoken language proficiency. The students' spoken answers are first transcribed by an automatic speech recognition (ASR) system and then scored using a feedforward neural network (NN) that processes features extracted from the automatic transcriptions. In-domain acoustic models, employing deep neural networks (DNNs), are derived by adapting the parameters of an original out of domain DNN

Internet-based psychotherapy in children with obsessive-compulsive disorder (OCD): protocol of a randomized controlled trial

Background: Obsessive-compulsive disorder (OCD) in children can lead to a huge burden on the concerned patients and their family members. While successful state-of-the art cognitive behavioral interventions exist, there is still a lack of available experts for treatment at home, where most symptoms manifest. Internet-based cognitive behavioral therapy (iCBT) could overcome these restrictions; however, studies about iCBT in children with OCD are rare and mostly target computerized self-help resources and only email contact with the therapist. Therefore, we intended to build up and to evaluate an iCBT approach for children with OCD, replacing successful elements of traditional in-office face-to-face CBT, with face-to-face teleconferences, online materials, and apps. Methods: With the help of a pilot feasibility study, we developed the iCBT consisting of 14 teleconference sessions with the child and parents. The sessions are supported by an app assessing daily and weekly symptoms and treatment course completed by children and parents. Additionally, we obtain heart rate and activity scores from the child via wristbands during several days and exposure sessions. Using a waiting list randomized control trial design, we aim to treat and analyze 20 children with OCD immediately after a diagnostic session whereas the control group of another set of 20 OCD patients will be treated after waiting period of 16 weeks. We will recruit 30 patients in each group to take account for potential dropouts. Outcomes for the treatment group are evaluated before randomization (baseline, t0), 16 weeks (end of treatment, t1), 32 weeks (follow-up 1, t2), and 48 weeks after randomization (follow-up 2, t3). For the waiting list group, outcomes are measured before the first randomization (baseline), at 16 weeks (waiting list period), 32 weeks (end of treatment), 48 weeks after the first randomization (follow-up I), and 64 weeks after the first randomization (follow-up II). Discussion: Based on our experience of feasibility during the pilot study, we were able to develop the iCBT approach and the current study will investigate treatment effectiveness. Building up an iCBT approach, resembling traditional in-office face-to-face therapy, may ensure the achievement of well-known therapy effect factors, the acceptance in both patients and clinicians, and the wide distribution within the health system. Trial registration: ClinicalTrials.gov NCT05037344 . Registered May 2019, last release August 13th, 2021

Impact of the first COVID lockdown on accident- and injury-related pediatric intensive care admissions in Germany - a multicenter study

Children’s and adolescents’ lives drastically changed during COVID lockdowns worldwide. To compare accident- and injury-related admissions to pediatric intensive care units (PICU) during the first German COVID lockdown with previous years, we conducted a retrospective multicenter study among 37 PICUs (21.5% of German PICU capacities). A total of 1444 admissions after accidents or injuries during the first lockdown period and matched periods of 2017–2019 were reported and standardized morbidity ratios (SMR) were calculated. Total PICU admissions due to accidents/injuries declined from an average of 366 to 346 (SMR 0.95 (CI 0.85–1.05)). Admissions with trauma increased from 196 to 212 (1.07 (0.93–1.23). Traffic accidents and school/kindergarten accidents decreased (0.77 (0.57–1.02 and 0.26 (0.05–0.75)), whereas household and leisure accidents increased (1.33 (1.06–1.66) and 1.34 (1.06–1.67)). Less neurosurgeries and more visceral surgeries were performed (0.69 (0.38–1.16) and 2.09 (1.19–3.39)). Non-accidental non-suicidal injuries declined (0.73 (0.42–1.17)). Suicide attempts increased in adolescent boys (1.38 (0.51–3.02)), but decreased in adolescent girls (0.56 (0.32–0.79)). In summary, changed trauma mechanisms entailed different surgeries compared to previous years. We found no evidence for an increase in child abuse cases requiring intensive care. The increase in suicide attempts among boys demands investigation

Internet-based psychotherapy in children with obsessive-compulsive disorder (OCD) : protocol of a randomized controlled trial

Funding Information: The study was evaluated and funded by the Ministry of Ministry of Social Affairs, Health and Integration Baden Württemberg, Germany. The ministry was not involved in any other steps of the study, including the original design, study analyses, data interpretation, or the paper preparation. Open Access funding enabled and organized by Projekt DEAL. Open Access funding enabled and organized by Project DEAL and by Open Access Publishing Fund of University of Tübingen. Publisher Copyright: © 2022, The Author(s).Background: Obsessive-compulsive disorder (OCD) in children can lead to a huge burden on the concerned patients and their family members. While successful state-of-the art cognitive behavioral interventions exist, there is still a lack of available experts for treatment at home, where most symptoms manifest. Internet-based cognitive behavioral therapy (iCBT) could overcome these restrictions; however, studies about iCBT in children with OCD are rare and mostly target computerized self-help resources and only email contact with the therapist. Therefore, we intended to build up and to evaluate an iCBT approach for children with OCD, replacing successful elements of traditional in-office face-to-face CBT, with face-to-face teleconferences, online materials, and apps. Methods: With the help of a pilot feasibility study, we developed the iCBT consisting of 14 teleconference sessions with the child and parents. The sessions are supported by an app assessing daily and weekly symptoms and treatment course completed by children and parents. Additionally, we obtain heart rate and activity scores from the child via wristbands during several days and exposure sessions. Using a waiting list randomized control trial design, we aim to treat and analyze 20 children with OCD immediately after a diagnostic session whereas the control group of another set of 20 OCD patients will be treated after waiting period of 16 weeks. We will recruit 30 patients in each group to take account for potential dropouts. Outcomes for the treatment group are evaluated before randomization (baseline, t0), 16 weeks (end of treatment, t1), 32 weeks (follow-up 1, t2), and 48 weeks after randomization (follow-up 2, t3). For the waiting list group, outcomes are measured before the first randomization (baseline), at 16 weeks (waiting list period), 32 weeks (end of treatment), 48 weeks after the first randomization (follow-up I), and 64 weeks after the first randomization (follow-up II). Discussion: Based on our experience of feasibility during the pilot study, we were able to develop the iCBT approach and the current study will investigate treatment effectiveness. Building up an iCBT approach, resembling traditional in-office face-to-face therapy, may ensure the achievement of well-known therapy effect factors, the acceptance in both patients and clinicians, and the wide distribution within the health system. Trial registration: ClinicalTrials.govNCT05037344. Registered May 2019, last release August 13th, 2021.Peer reviewe

Microbial Response to Experimentally Controlled Redox Transitions at the Sediment Water Interface.

The sediment-water interface of freshwater lakes is characterized by sharp chemical gradients, shaped by the interplay between physical, chemical and microbial processes. As dissolved oxygen is depleted in the uppermost sediment, the availability of alternative electron acceptors, e.g. nitrate and sulfate, becomes the limiting factor. We performed a time series experiment in a mesocosm to simulate the transition from aerobic to anaerobic conditions at the sediment-water interface. Our goal was to identify changes in the microbial activity due to redox transitions induced by successive depletion of available electron acceptors. Monitoring critical hydrochemical parameters in the overlying water in conjunction with a new sampling strategy for sediment bacteria enabled us to correlate redox changes in the water to shifts in the active microbial community and the expression of functional genes representing specific redox-dependent microbial processes. Our results show that during several transitions from oxic-heterotrophic condition to sulfate-reducing condition, nitrate-availability and the on-set of sulfate reduction strongly affected the corresponding functional gene expression. There was evidence of anaerobic methane oxidation with NOx. DGGE analysis revealed redox-related changes in microbial activity and expression of functional genes involved in sulfate and nitrite reduction, whereas methanogenesis and methanotrophy showed only minor changes during redox transitions. The combination of high-frequency chemical measurements and molecular methods provide new insights into the temporal dynamics of the interplay between microbial activity and specific redox transitions at the sediment-water interface

Automatic assessment of spoken language proficiency of non-native children

This paper describes technology developed to automatically grade Italian students (ages 9-16) on their English and German spoken language proficiency. The students' spoken answers are first transcribed by an automatic speech recognition (ASR) system and then scored using a feedforward neural network (NN) that processes features extracted from the automatic transcriptions. In-domain acoustic models, employing deep neural networks (DNNs), are derived by adapting the parameters of an original out of domain DNN. Automatic scores are computed for low level proficiency indicators - such as: lexical richness, syntax correctness, quality of pronunciation, discourse fluency, semantic relevance to the prompt, etc - defined by human experts in language proficiency. A set of experiments was carried out on a large set of data collected during proficiency evaluation campaigns involving thousands of students, manually scored by human experts. Obtained results are presented and discussed