Our Work

Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und die Betreiber der AKTIN-Infrastruktur und des Notaufnahmeregisters bereitgestellt. Der Datensatz beinhaltet ag…

Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und die Betreiber der AKTIN-Infrastruktur und des Notaufnahmeregisters bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI), sowie hitzeassoziierte Notaunfahmevorstellungen (HEAT). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.

Presentacion didáctica a nivel de educación secundaria sobre el funcionamiento de las redes neuronales biológicas y computacionales.

This restricted record accompanies the manuscript “Context of Use Shapes Emotional Disclosure to AI Conversational Agents: The Role of Self-Presentational Vigilance.” The record contains n…

This restricted record accompanies the manuscript “Context of Use Shapes Emotional Disclosure to AI Conversational Agents: The Role of Self-Presentational Vigilance.” The record contains non-sensitive study documentation and aggregate source values supporting the reported analyses. The deposited materials include the repository guide, aggregate source-value workbook, blank participant-facing consent information, disclosure-depth coding codebook, ARIA/Wizard-of-Oz script and operator rules, study procedure, sample-flow and analysis-decision record, and Data Restriction Statement. The record contains no participant-level records, dialogue text, audio, free-text responses, participant-specific dates, signatures, recruitment records, contact details, or identity-linkage information. Participant-level questionnaire, pilot, behavioral, coder-level, audio, transcript, and free-text materials are not included because the original consent materials and ethics approval did not explicitly authorize open participant-level release and because these materials carry substantial privacy and re-identification risks. Access to the restricted files is intended for editorial and peer-review verification. Any further request for a minimum-necessary de-identified extract will be considered case by case under the conditions described in the Data Restriction Statement; access is not automatic and cannot be guaranteed. Version 1.1 aligns the aggregate source values and documentation with the revised manuscript, including corrected supplementary maximum-depth results, two post hoc Level 3 threshold comparisons, and operator sensitivity analyses. The study sample, original coding records and access conditions are unchanged.

Rosa canina L. (Rosaceae) is a valuable medicinal plant widely distributed in temperate regions and recognized as a promising source of biologically active compounds. According to domestic and interna…

Rosa canina L. (Rosaceae) is a valuable medicinal plant widely distributed in temperate regions and recognized as a promising source of biologically active compounds. According to domestic and international literature, preparations obtained from Rosa canina have been investigated for their antioxidant, anti-inflammatory, hepatoprotective, immunomodulatory, antimicrobial and other biological properties. The pharmacological potential of the plant is associated with the presence of phenolic compounds, flavonoids, carotenoids, vitamins, organic acids and other biologically active constituents. In Uzbekistan, the development of plant-based products for functional and therapeutic-preventive purposes is of particular interest, especially for maintaining physiological functions and improving the body's protective capacity. In the present study, the macro- and microelement composition of a dry extract obtained from the seeds of Rosa canina L. grown under the conditions of Uzbekistan was investigated. The mineral composition of the dry extract was evaluated to determine the presence and distribution of essential macro- and microelements. The obtained results provide a basis for assessing the nutritional and pharmaceutical potential of Rosa canina seed dry extract and may contribute to the development of standardized plant-based preparations and biologically active supplements.

This SOP describes the computational procedure for process-based modelling and simulation of a multi-step nutrient recovery system from agricultural biowaste. The simulator, implemented in MATLAB, mod…

This SOP describes the computational procedure for process-based modelling and simulation of a multi-step nutrient recovery system from agricultural biowaste. The simulator, implemented in MATLAB, models mass and nutrient flows (N, P, K, Mg) through anaerobic digestion and downstream separation processes at the Biogas Wipptal facility in South Tyrol, Italy. Model outputs include struvite, liquid fertilizer (RO concentrate), and solid fertilizer pellets. A greenhouse crop simulator is coupled to estimate nutrient demand for tomato production under varying climate scenarios (CMIP6, RCPs 2.6/4.5/8.5) at three European locations (Trento, Berlin, Stavanger) and four time points (2025–2100). Input data were provided by project partners and are used secondarily within this procedure

A 400-year-old shaman’s grave found in Kuusamo held a surprise: the chemistry of the teeth led all the way to Iceland. Professor Päivi Onkamo of the University of Turku and her research gro…

A 400-year-old shaman’s grave found in Kuusamo held a surprise: the chemistry of the teeth led all the way to Iceland. Professor Päivi Onkamo of the University of Turku and her research group read the past from ancient DNA and other ancient molecules – work that would be impossible without vast computing power and databases.

1.0.0 (2026-10-01) Note: Version bump only for package root