Endometriosis Coinciding with Uterus Didelphys and Renal Agenesis: A Literature Review.

: Endometriosis and urogenital malformation with uterus didelphys and renal agenesis might occur concomitantly, and the question arises whether both entities are associated with each other. : A literature search was conducted in PubMed and Web of Science, using the following search terms: "endometriosis and uterine malformation, endometriosis and Herlyn-Werner-Wunderlich syndrome", "endometriosis and OHVIRA (Obstructed Hemivagina and Ipsilateral Renal Anomaly) syndrome" and "uterus didelphys, renal agenesis and endometriosis". : We identified and examined 36 studies, comprising a total of 563 cases with coinciding endometriosis and OHVIRA.

Endometrial scratching and intralipid treatment-no general recommendations.

Objectives: Endometrial scratching (ES) and/or intravenous intralipid therapy (in cases of increased uterine natural killer cells, uNKs) are still conducted in several fertility centers as "add-on" treatments in patients undergoing ART, although convincing evidence for beneficial effects is lacking.

Study Design: In this retrospective study, associations between ES treatment or additional intralipid therapy and pregnancy and live birth rates of 1,546 patients undergoing 2,821 IVF-/ICSI-treatment cycles with fresh or frozen embryo transfers in a German fertility-center between 1st January 2014 and 31th May 2017 were analyzed.

Results: Overall pregnancy and live birth rates for all 2,821 treatment cycles (468 cycles with ES) were 32.

Carbon stocks in Norwegian eelgrass meadows across environmental gradients.

Seagrass meadows are well-known for their capacity to capture and store blue carbon in sediments. However carbon stocks vary significantly between meadows, spanning more than three orders of magnitude on both local and global scales. Understanding the drivers of seagrass carbon stocks could help improve strategies for incorporating blue carbon into management plans.

Drone and ground-truth data collection, image annotation and machine learning: A protocol for coastal habitat mapping and classification.

Aerial drone imaging is an efficient tool for mapping and monitoring of coastal habitats at high spatial and temporal resolution. Specifically, drone imaging allows for time- and cost-efficient mapping covering larger areas than traditional mapping and monitoring techniques, while also providing more detailed information than those from airplanes and satellites, enabling for example to differentiate various types of coastal vegetation. Here, we present a systematic method for shallow water habitat classification based on drone imagery.