Results 161 to 170 of about 1,544,983 (360)

FEVER: a large-scale dataset for Fact Extraction and VERification [PDF]

open access: yesarXiv, 2018
In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from.
arxiv  

Investigating Social Immunity in Swarming Locusts via a Triple Animal–Robot–Pathogen Hybrid Interaction

open access: yesAdvanced Intelligent Systems, EarlyView.
This study explores social immunity in gregarious locusts using a groundbreaking animal–robot–pathogen interaction model. By comparing locust responses to biomimetic agents mimicking healthy and infected individuals, significant behavioral changes are revealed.
Donato Romano, Cesare Stefanini
wiley   +1 more source

Association of maternal autoimmune disease and early childhood infections with offspring autism spectrum disorder: A population‐based cohort study

open access: yesAutism Research, Volume 15, Issue 12, Page 2371-2380, December 2022., 2022
Abstract The aim of this study was to examine potential synergistic effects between maternal autoimmune disease and early childhood infections and their association with autism spectrum disorder (ASD) in offspring. Both exposures have been associated with increased risk of ASD in previous studies, but potential synergistic effects remain underexplored.
Timothy C. Nielsen   +8 more
wiley   +1 more source

A distinct approach to diagnose Dengue Fever with the help of Soft Set Theory [PDF]

open access: yesarXiv, 2018
Mathematics has played a substantial role to revolutionize the medical science. Intelligent systems based on mathematical theories have proved to be efficient in diagnosing various diseases. In this paper, we used an expert system based on soft set theory and fuzzy set theory named as a soft expert system to diagnose tropical disease dengue.
arxiv  

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

open access: yesAdvanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi   +5 more
wiley   +1 more source

May Fever Trigger Ventricular Fibrillation? [PDF]

open access: yes, 2005
The clinical precipitants of ventricular fibrillation (VF) remain poorly understood. Clinical factors such as hypoxemia, acidosis or electrolyte imbalance, drug-related toxicity, autonomic nervous system disorders as well as viral myocarditis have been ...
Pasquié, Jean Luc
core   +1 more source

An Online Learning Approach for Dengue Fever Classification [PDF]

open access: yesarXiv, 2019
This paper introduces a novel approach for dengue fever classification based on online learning paradigms. The proposed approach is suitable for practical implementation as it enables learning using only a few training samples. With time, the proposed approach is capable of learning incrementally from the data collected without need for retraining the ...
arxiv  

Rethinking Loss Functions for Fact Verification [PDF]

open access: yesarXiv
We explore loss functions for fact verification in the FEVER shared task. While the cross-entropy loss is a standard objective for training verdict predictors, it fails to capture the heterogeneity among the FEVER verdict classes. In this paper, we develop two task-specific objectives tailored to FEVER.
arxiv  

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