Twin pregnancy with a coexisting mole: case report

Twin molar pregnancy with a coexisting live fetus and a hydatidiform mole is a rare form of the gestational trophoblastic disease associated with increased risk of obstetrical complications and poor perinatal outcome. Prenatal diagnosis is essential for couple counselling and follow-up in tertiary care centers. The incidence ranges from 1 in 20,000 to 1 in 1,00,000 pregnancies. Management of such cases is tough because the possibility of fetal survival should be weighed against the risk of complications of molar pregnancy. A case of twin molar pregnancy and a coexisting live fetus diagnosed at 15 weeks using ultrasound is described from obstetrical management to a post molar follow-up

Jutge.org: characteristics and experiences

Jutge.org is an open educational online programming judge designed for students and instructors, featuring a repository of problems that is well organized by courses, topics and difficulty. Internally, Jutge.org uses a secure and efficient architecture and integrates modern verification techniques, formal methods, static code analysis and data mining. Jutge.org has exhaustively been used during the last decade at the Universitat Politecnica de Catalunya to strengthen the learn-by-doing approach in several courses. This paper presents the main characteristics of Jutge.org and shows its use and impact in a wide range of courses covering basic programming, data structures, algorithms, artificial intelligence, functional programming and circuit design.Peer ReviewedPostprint (author's final draft

Safety at sea Engineering challenges; the 1999 Lloyd's Register Lecture

SIGLEAvailable from British Library Document Supply Centre-DSC:5287.2873(1999) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Better feedback for educational online judges

The verdicts of most online programming judges are, essentially, binary: the submitted codes are either “good enough” or not. Whilst this policy is appropriate for competitive or recruitment platforms, it can hinder the adoption of online judges on educative settings, where it could be adequate to provide better feedback to a student (or instructor) that has submitted a wrong code. An obvious option would be to just show him or her an instance where the code fails. However, that particular instance could be not very significant, and so could induce unreflectively patching the code. The approach considered in this paper is to data mine all the past incorrect submissions by all the users of the judge, so to extract a small subset of private test cases that may be relevant to most future users. Our solution is based on parsing the test files, building a bipartite graph, and solving a Set Cover problem by means of Integer Linear Programming. We have tested our solution with a hundred problems in Jutge.org. Those experiments suggest that our approach is general, efficient, and provides high quality results