This study documents the criteria for graduation and for awarding credit for training cases used by thirteen institutes of the American Psychoanalytic Association (APsA). At the time of this study, these thirteen institutes were training 63% of all candidates enrolled at institutes of the APsA. Questionnaires were sent to the progression committee chairperson (PCC), a junior candidate and a senior candidate, and a recent graduate at each institute. Each participant also had a follow-up semi-structured telephone interview. Return rate was 100%. 92% per cent of the institutes reported that in order to receive credit for cases, the patient needed to be in treatment for some minimum amount of time (average 18.3 months). Many PCCs were skeptical about writing down the criteria for credit, stating that this made candidates overly focused on the time requirement. 85% per cent of PCCs felt that graduation from the institute was based primarily on obtaining credit for cases. Few required a terminated case and only one felt that classroom work was an important factor. 47% per cent of candidates felt that the need to keep patients in treatment to receive credit for cases affected their treatment of patients and only 46% of candidates could state the minimum time requirement used by their institute. These results indicate that graduation from institutes of the APsA depends primarily on receiving credit for cases, that case length is an important criterion for awarding credit and that this method of evaluating candidates may not be the best way to support educational objectives.
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http://dx.doi.org/10.1516/00207570360509691 | DOI Listing |
Neural Netw
February 2025
Department of Computer Science, Kennesaw State University, Kennesaw, 30144, GA, USA.
Fraud detection for imbalanced datasets is challenging due to machine learning models inclination to learn the majority class. Imbalance in fraud detection datasets affects how graphs are built, an important step in many Graph Neural Networks (GNNs). In this paper, we introduce our BalancerGNN framework to tackle with imbalanced datasets and show its effectiveness on fraud detection.
View Article and Find Full Text PDFChilds Nerv Syst
November 2024
Neurosurgery Department, Ibn Sina Hospital, Kuwait City, Kuwait.
Background: Congenital intracranial immature teratoma is a rare tumor that is present in the first year of life. It is composed of three embryonic germ layers. These tumors are mainly manifested by hydrocephalus.
View Article and Find Full Text PDFCureus
October 2024
Reconstructive Orthopedic Department, King Fahad Medical City, Riyadh, SAU.
Ewing sarcoma is a very common type of malignant bone tumor among children and adolescents that most frequently develops in long bones of the body and extremities; however, it can also affect other bones such as the skull and scapula in rare cases. In Ewing sarcoma, the most common sites of metastasis are the lungs and bones, which indicates a late stage of the disease and is considered a poor prognostic factor. In this paper, we report the case of a 10-year-old boy presenting with a painless swelling on his left shoulder that was not associated with other local or systemic symptoms, and with no neurological manifestations.
View Article and Find Full Text PDFTech Coloproctol
November 2024
Colorectal Section, Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing St., Guishan Dist., Taoyuan, 33305, Taiwan.
Background: Many surgeons have begun learning about colorectal surgery using laparoscopy rather than laparotomy. The domains of four-step technique training program (DOF) for laparoscopic colorectal surgery have been designed and implemented by our institute since 2011, and they are expected to provide a safe and effective program for trainees with limited experience in laparoscopic colorectal surgery.
Method: The DOF were established with standard surgical procedures, a four-step technique, and learning passports using point credits after the procedure was completed.
Sci Data
November 2024
DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California, 94720, USA.
Increases in sequencing capacity, combined with rapid accumulation of publications and associated data resources, have increased the complexity of maintaining associations between literature and genomic data. As the volume of literature and data have exceeded the capacity of manual curation, automated approaches to maintaining and confirming associations among these resources have become necessary. Here we present the Data Citation Explorer (DCE), which discovers literature incorporating genomic data that was not formally cited.
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