Results 81 to 90 of about 603,133 (214)

A Modern Point of View on Anomalies [PDF]

, 2019
We review the concept of anomaly field theory, namely the fact that the anomalies of a $d$-dimensional field theory can be encoded in a $d+1$-dimensional field theory functor. We give numerous examples of anomaly field theories, explain how classical facts about anomalies are recovered from the anomaly field theory, and review recent work on global ...
arxiv   +1 more source

Trisomy 26 in a Holstein calf with disorders of sex development

Animal Genetics, Volume 56, Issue 1, February 2025.
Abstract Hypospadias occurs sporadically in male livestock and is characterized by a non‐fused urethra during fetal development. In this study, perineal hypospadias, a bifid scrotum, penile hypoplasia, and bilateral abdominal cryptorchidism were diagnosed in a neonatal Holstein male calf.
Markus Freick, Joana G. P. Jacinto, Irene M. Häfliger, Jim Weber, Holger Behn, Ruben Schreiter, Cord Drögemüller   +6 more
wiley   +1 more source

Urogenital and Other Associated Anomalies in Patients With Anorectal Malformations [PDF]

, 2011
Mohammad Kazem Sabzehei, Hassan Bazmamoun, Seyed Habibollah Mousavi‐Bahar   +2 more
openalex   +3 more sources

Patients with anorectal malformation and upper limb anomalies: genetic evaluation is warranted

European Journal of Pediatrics, 2015
The objective of this study was to compare the prevalence of genetic disorders in anorectal malformation (ARM) patients with upper limb anomalies to that in ARM patients with other associated anomalies.
D. van den Hondel, C. Wijers, Y. van Bever, A. de Klein, Carlo Marcelis, I. de Blaauw, C. Sloots, H. IJsselstijn   +7 more
semanticscholar   +1 more source

Esophageal lung with rare associated vascular and anorectal malformations

Radiology Case Reports, 2018
Esophageal lung is a rare communicating bronchopulmonary foregut malformation in which the main bronchus arising from the trachea is absent. The affected lung is usually hypoplastic and aerated via an anomalous airway originating from the esophagus ...
Ali Alsaadi, SB-Rad, Hamdi A. Alsufiani, MD, Mohammad D. Allugmani, MD, Altaf Hussain Gora, MD   +3 more
doaj  

Currarino syndrome in an elderly man: Multimodality imaging findings

Radiology Case Reports, 2020
Currarino syndrome is a rare congenital disorder characterized by the triad of anorectal anomalies, sacrococcygeal dysgenesis and presacral mass. Because of the anorectal anomalies, the extrinsic compression due to the presacral mass and neurologic ...
Annalisa Vitale, MD, Rossella Villa, MD, Flavio Giordano, MD, Elvira Napoli, MD, Lorenzo Ugga, MD, Andrea Manto, MD   +5 more
doaj  

Diagnosis and treatment of Müllerian anomalies: Experience at the Fundación HOMI

Journal of Pediatric Surgery Open, 2023
Background: Müllerian anomalies are rare developmental abnormalities. In the pediatric population, they manifest clinically during puberty and may require surgical treatment for symptom management.
Daniela Moreno Villamizar, Paula Quintero Garzón, Tatiana Daza Ladino, Laura Daniela Pérez Daza, Maria Jose Neira, Fernando Fierro, Ivan Dario Molina Ramirez, Juan Valero   +7 more
doaj  

Role of magnetic resonance imaging to detect occult spinal anomalies in anorectal malformations

, 2016
Background:  Anorectal malformations (ARM) are relatively frequently encountered anomalies that represent an important component of pediatric surgical practice.
P. Gupta, U. Gupta, Saugata Ray, Anil Kumar, Somendra Singh, Shesh Kumar, M. Gupta, Praveen Singh, M. Prakash, P. Sharma   +9 more
semanticscholar   +1 more source

Precision and Recall for Range-Based Anomaly Detection [PDF]

arXiv, 2018
Classical anomaly detection is principally concerned with point-based anomalies, anomalies that occur at a single data point. In this paper, we present a new mathematical model to express range-based anomalies, anomalies that occur over a range (or period) of time.
arxiv  

Deep Weakly-supervised Anomaly Detection [PDF]

arXiv, 2019
Recent semi-supervised anomaly detection methods that are trained using small labeled anomaly examples and large unlabeled data (mostly normal data) have shown largely improved performance over unsupervised methods. However, these methods often focus on fitting abnormalities illustrated by the given anomaly examples only (i.e.,, seen anomalies), and ...
arxiv