A Magnetoelectric Distance Estimation System for Relative Human Motion Tracking.

Clinical motion analysis plays an important role in the diagnosis and treatment of mobility-limiting diseases. Within this assessment, relative (point-to-point) tracking of extremities could benefit from increased accuracy. Given the limitations of current wearable sensor technology, supplementary spatial data such as distance estimates could provide added value.

Effect-based analysis of endocrine effects in surface and ground water with focus on progestagenicity using Arxula yeast-based reporter gene assays.

The use of effect-based methods in water monitoring for identifying risks to aquatic organisms and human health is important for aiding regulatory decisions. In the past decades, the database on monitoring, especially in surface waters, has grown as this aquatic environment is openly exposed to various contamination sources. With regard to endocrine disruption, estrogenic and androgenic effects have been primarily investigated.

MBI-KG: A knowledge graph of structured and linked economic research data extracted from the 1937 book "Die Maschinen-Industrie im Deutschen Reich".

The MaschinenBauIndustrie Knowledge Graph (MBI-KG) is a structured and semantically enriched dataset extracted from the 1937 publication "Die Maschinen-Industrie im Deutschen Reich" (The Machinery Industry in the German Reich), published by the "Wirtschaftsgruppe Maschinenbau" and edited by Herbert Patschan. This historical source offers data on German companies within the mechanical engineering industry during the pre-World War II era. The book was digitized, and Optical Character Recognition (OCR) was applied to extract text.

Methods for modeling gestational weight gain: empirical application using electronic health record data from a safety net population.

Background: Understanding the risks and effects of gestational weight gain (GWG) is a prominent area of perinatal research but approaches for quantifying GWG are evolving and remain underdeveloped, especially in clinical settings for underserved demographic subgroups. To fill this gap, we demonstrated and compared six GWG metrics across pre-pregnancy BMI classifications: total GWG, trimester-specific linear rate of GWG, adherence to total and trimester-specific recommendations, area under the curve, and GWG for gestational age z-scores.

Methods: We used clinical data on 44,801 pregnant people from community-based health care organizations with extensive longitudinal measures and substantial representation of understudied subgroups.