Document-level relation extraction (RE) poses new challenges compared to its sentence-level counterpart. One document commonly contains multiple entity pairs, and one pair occurs times in the associated with possible relations. In this paper, we propose two novel techniques, adaptive thresholding localized context pooling, solve multi-label multi-entity problems. The replaces global threshold f...

The assumption that human granulocyte-macrophage colonies have a unicellular origin and thus are true clones has been directly tested. Cells from seven females heterozygous for the common glucose-6-phosphate dehydrogenase (G-6-PD) gene (GdB) and the variant GdA were cultured in semisolid medium for granulocyte-macrophage colony growth and the enzyme type of individual colonies was determined. W...

Preschool Mexican children consume 7% of their total energy intake from processed breakfast cereals. This study characterized the nutritional quality and labelling (claims and Guideline Daily Amount (GDA)) of the packaged breakfast cereals available in the Mexican market. Photographs of all breakfast cereals available in the 9 main food retail chains in the country were taken. The nutrition qua...

We present an approach for adapting the Gaussian dispersion analysis (GDA) of optical materials to time-domain simulations. Within a GDA model, imaginary part measured dielectric function is presented as sum absorption terms. Such simple model valid where inhomogeneous broadening substantially larger than homogeneous linewidth. The essential broadband approximation many glasses, polymers, and o...

This paper addresses the issue of automatic classification of the six universal emotional categories (joy, surprise, fear, anger, disgust, sadness) in the case of static images. Appearance parameters are extracted by an active appearance model(AAM) representing the input for the classification step. We introduce Relevant Component Analysis (RCA) in the context of facial expression recognition f...

Introduction: National guidelines do not support routine empiric vancomycin use in the initial management of febrile neutropenia (FN) and only recommend it patients with specific clinical indications. This bi-phasic quality improvement project aimed to evaluate current FN improve compliance a guideline-driven algorithm (GDA) ensure appropriate prescribing therapy duration community hospital.

Multiple modalities of biomarkers have been proved to be very sensitive in assessing the progression of Alzheimer's disease (AD), and using these modalities and machine learning algorithms, several approaches have been proposed to assist in the early diagnosis of AD. Among the recent investigated state-of-the-art approaches, Gaussian discriminant analysis (GDA)-based approaches have been demons...

The Blackwater Against New Nuclear Group (BANNG) is a Citizens Based Organisation primarily concerned to prevent further expansion of nuclear activities at the Bradwell site in Essex. Its aim is to protect the people and environment of the River Blackwater estuary and its surrounding area, now and in the future, from the risks and dangers of radioactivity by preventing the further development o...

In the ongoing debate about front-of-package (FOP) nutrition labels, little data exist regarding nutritionally at-risk populations, although they are critical targets of prevention programs. This study aimed to compare the impact of FOP labels on the ability to rank products according to their nutritional quality among French adults potentially at risk of poor dietary quality (N = 14,230). Four...

This Generalized Discriminant Analysis (GDA) has provided an extremely powerful approach to extracting non-linear features. The network traffic data provided for the design of intrusion detection system always are large with ineffective information, thus we need to remove the worthless information from the original high dimensional database. To improve the generalization ability, we usually gen...