Tying up the Loose Ends in Simple, Multiple and Joint Correspondence Analysis

Tying up syntactic loose ends

Arthroscopic treatment of synovial chondromatosis of the shoulder joint: case report and review

 Abstract Two cases (20 and 15 years old) of shoulder joint synovial chondromatosis were initially treated with arthroscopic debridement. One was further treated with a second arthroscopy and partial synovectomy (case 1) the second was fully treated by arthroscopic surgery (case 2). The postoperative control X- ray revealed no loose body and the joint was normal. One of the cases (case 1) was a...

Bilateral Synovial Knee Chondromatosis in a Patient with Rheumatoid Arthritis: Case-report and Literature Review

We presented a female patient with RA complaining of progressive pain, swelling, and crepitation of the knee joints that was diagnosed with bilateral synovial chondromatosis (SC) of both knees. Radiographies revealed characteristic findings of SC including multiple calcified multifaceted loose bodies within both knees. Removal of cartilaginous segments as well as total synovectomy was performed...

Analysis and Physics of Laparoscopic Intracorporeal Square-Knot Tying

Square knots are often used in open surgery to approximate tissue borders or tie off tubular structures like vessels or ducts. Three common methods are used for surgical square-knot tying: one-hand tying, two-hand tying, and the instrument-tying technique. Two types of suture placements are studied in both the open and laparoscopic surgical fields. The first called equal length has suture segme...

Tying up loose ends: a method for constructing and evaluating decision aids that meet blunt and sharp-end goals.

We present a methodological framework for constructing and evaluating decision aids--fast and frugal trees (FFTs)--ideally suited to the front line of an organisation. Their performance can be analysed in signal detection theory, allowing for transparent selection of FFTs given managerial-level trade-offs among type I and II errors. We extend FFTs from binary classification to selection from mu...