358 research outputs found
How Do Manipulatives Help Students Communicate Their Understanding of Double-Digit Subtraction?
Multi-digit subtraction is difficult for students to learn. The purpose of this study is to explore how second-grade students communicate their understanding of double-digit subtraction through the use of manipulatives/tools. This qualitative study reports on six case studies of second-grade students where clinical interviews were the main source of data. Findings suggest that manipulatives/tools helped reveal cognitive constructs and difficulties that the handwritten algorithms were not conveying. For example, students who exhibited an understanding of the subtraction process had not yet developed an understanding of ten and 10 ones interchangeability. These results highlight the potential role of manipulatives/tools as communication tools that help reveal students’ actual cognitive development. Implications to research and practice in relation to students’ learning trajectories are discussed
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding
The Scholarly Question Answering over Linked Data (Scholarly QALD) at The
International Semantic Web Conference (ISWC) 2023 challenge presents two
sub-tasks to tackle question answering (QA) over knowledge graphs (KGs). We
answer the KGQA over DBLP (DBLP-QUAD) task by proposing a neuro-symbolic (NS)
framework based on PSYCHIC, an extractive QA model capable of identifying the
query and entities related to a KG question. Our system achieved a F1 score of
00.18% on question answering and came in third place for entity linking (EL)
with a score of 71.00%.Comment: 10 pages, 3 figures, 2 tables, accepted for the Scholarly-QALD
challenge at the International Semantic Web Conference (ISWC) 202
The Path to Autonomous Learners
In this paper, we present a new theoretical approach for enabling domain
knowledge acquisition by intelligent systems. We introduce a hybrid model that
starts with minimal input knowledge in the form of an upper ontology of
concepts, stores and reasons over this knowledge through a knowledge graph
database and learns new information through a Logic Neural Network. We study
the behavior of this architecture when handling new data and show that the
final system is capable of enriching its current knowledge as well as extending
it to new domains
Traumatic rupture of a solitary splenic hydatid cyst: A case report
SummaryThe rupture of an Echinococcus granulosus hydatid cyst in the spleen due to trauma is a rare event. In this case report we describe the case of a 39-year-old Lebanese male victim of a motor vehicle accident with a ruptured solitary splenic hydatid cyst discovered by CT scan and excised during exploratory laparotomy.Echinococcosis or hydatid disease is a parasitic infestation by the Echinococcus genus of tapeworm. The eggs of E. granulosus, a species of Echinococcus, are fecal-orally transmitted to human hosts, most often from dog feces, and manifest as cystic lesions termed hydatid. E. granulosus most commonly affects the liver (75%), lungs (15%), and rarely the spleen (2–5%) [1,2]. E. granulosus is particularly endemic to cattle rearing areas of the Middle East. Infected patients most commonly present with vague abdominal pain, as a result of mass effect or spontaneous rupture of the cyst. Nevertheless, patient presentation may be due to traumatic rupture of a hydatid cyst; however, this is very rare. Herein we report a case of traumatic rupture of a solitary splenic hydatid cyst in a 39-year-old male following a motor vehicle crash, managed following the Advanced Trauma Life Support (ATLS) protocol
Una estimación de respuesta en caso de sismo grave
Objetivos: describir las caracterÃsticas generales que tienen los servicios de emergencia de los hospitales de la ciudad de Guayaquil; el flujo de pacientes, las proporciones de internamiento y cirugÃas de emergencia, las tasas de ocupación y la disponibilidad de camas, estimando la posibilidad de atender un aumento súbito de la demanda por un desastre natural, modelar una situación de incremento estimando la capacidad de atención en función de la disponibilidad de camas. Diseño del estudio: transversal para la descripción de los servicios de emergencia de cinco hospitales de la provincia del Guayas y se simuló un incremento lineal de la demanda de servicios para evaluar la capacidad de atención. Resultados: las atenciones de emergencia se han incrementado significativamente en los últimos cinco años, mientras que las tasas de internamiento por emergencia han disminuido; la disponibilidad de camas por habitante no se ha incrementado y el número de camas disponibles está poco más arriba de 200 por dÃa en promedio. Conclusiones: los hospitales que tendrÃan mayor porcentaje de capacidad de atención serÃan el León Becerra, el Naval y el Militar. Los hospitales del sector del sur y oeste de la ciudad, son los que tendrÃan menor capacidad para atender un mayor volumen de pacientes
- …