Beneath the Waves

Beneath the Waves is an original, feature-length screenplay. It is a fairy tale set in Ireland, where a woman dives to the bottom of the ocean to reclaim her husband, who had been taken by mermaids. She succeeds in rescuing her husband, and in doing so discovers that mermaids are not the beautiful women of legend, but rather man-eating deep-sea creatures. I wrote the short story Brigid and the Mermaids in my junior year in order to get the basic storyline down in an understandable form. In writing the screenplay I used the free screenwriting program Celtx, which formats easily to standard script style. In writing a story somewhere between fantasy and magical realism, I was heavily influenced by the work of John Sayles, Neil Gaiman and William Goldman. The setting and mythology of The Secret of Roan Inish (Sayles 1994), the magical realism of Stardust (Gaiman 1997) and the cynical storytelling of The Princess Bride (Goldman 1873) all make appearances in Beneath the Waves. Although revised at least five times, this screenplay is by no means finished, and I intend to continue working on it with the intention of it one day being made into a movie

Identification of Kidney Disease Diagnoses in Patients with Diabetes by Biopsies and Electronic Health Records

BACKGROUND Diabetic kidney disease (DKD) refers to chronic kidney disease in diabetes, but not a specific diagnosis. This report describes a patient cohort with electronic health record (EHR) data linked to manual data abstraction for kidney histopathology. METHODS Patients were selected from the Center for Kidney Disease Research, Education, and Hope (CURE-CKD) registry which contains curated EHR clinical and administrative data from two large healthcare systems. Inclusion criteria consisted of a native kidney biopsy, diagnoses of diabetes and CKD but not on dialysis. Clinical investigators manually abstracted health history, laboratory data, and histological features from kidney biopsy reports. DKD was classified as: diabetic nephropathy (DN), DN mixed with nondiabetic lesions (Mixed), and nondiabetic lesions only (Other). RESULTS In 523 patients with diabetes who underwent kidney biopsy in the years 2015-2017 (Table), diagnostic frequencies were DN 39.8% (n=208), Mixed 36.9% (n=193), Other 23.3% (n=122). Patients with DN were younger, displayed higher albuminuria, increased nodular glomerulosclerosis and arteriolar hyalinosis than the Mixed group. Those with DN more commonly had diabetes duration \u3e10 years and higher albuminuria compared to the Other group, while lesions characteristic of DN (mesangial expansion, nodular glomerulosclerosis, GBM thickening, arteriolar hyalinosis, tubular basement membrane thickening) were uncommon in Other. CONCLUSION Higher levels of albuminuria, nodular glomerulosclerosis and arteriolar hyalinosis were distinctly more common in DN compared to Mixed and Other groups, and nodular glomerulosclerosis was rarely observed in the Other group. Future work will use machine learning models of the EHR data to predict DN and select precision therapies

Practising workplace geographies: Embodied labour as method in human geography

10.1111/j.1475-4762.2012.01101.xArea444489-49

Transition metal complexes containing all-carbon ligands

Michael I. Bruce and Paul J. Lowhttp://www.elsevier.com/wps/find/bookdescription.cws_home/702144/description#descriptio