Results 41 to 50 of about 11,220,818 (306)

Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost

Proceedings, 2019
Information Retrieval is not any more exclusively about document ranking. Continuously new tasks are proposed on this and sibling fields. With this proliferation of tasks, it becomes crucial to have a cheap way of constructing test collections to ...
David Otero, Daniel Valcarce, Javier Parapar, Álvaro Barreiro   +3 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source

Priors for Diversity and Novelty on Neural Recommender Systems

Proceedings, 2019
PRIN is a neural based recommendation method that allows the incorporation of item prior information into the recommendation process. In this work we study how the system behaves in terms of novelty and diversity under different configurations of item ...
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro   +3 more
doaj   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval [PDF]

International Conference on Information and Knowledge Management, 2017
This paper concerns a deep learning approach to relevance ranking in information retrieval (IR). Existing deep IR models such as DSSM and CDSSM directly apply neural networks to generate ranking scores, without explicit understandings of the relevance ...
Liang Pang, Yanyan Lan, J. Guo, Jun Xu, Jingfang Xu, Xueqi Cheng   +5 more
semanticscholar   +1 more source

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

Self-organization of the stock exchange to the edge of a phase transition: empirical and theoretical studies

Frontiers in Physics
Our study is based on the hypothesis that stock exchanges, being nonlinear, open and dissipative systems, are capable of self-organization to the edge of a phase transition.
Andrey Dmitriev, Andrey Dmitriev, Andrey Lebedev, Vasily Kornilov, Victor Dmitriev   +4 more
doaj   +1 more source

The Capacity of Private Information Retrieval [PDF]

Global Communications Conference, 2016
In the private information retrieval (PIR) problem a user wishes to retrieve, as efficiently as possible, one out of K messages from N non-communicating databases (each holds all K messages) while revealing nothing about the identity of the desired ...
Hua Sun, S. Jafar
semanticscholar   +1 more source

Identification of the plant mitochondrial OrfX protein: A mass spectrometry approach

FEBS Letters, EarlyView.
The mitochondrial genome of plants contains an open reading frame, orfx, which encodes a rare protein that has so far escaped mass spectrometric detection. The protein resembles the c‐subunit of bacterial twin‐arginine‐motif‐dependent protein translocases (TatC).
Matthias Döring, Jan de Jonge, Hans‐Peter Braun, Nils Rugen   +3 more
wiley   +1 more source

Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents

Information, 2019
Recent deep learning approaches have shown promising results for named entity recognition (NER). A reasonable assumption for training robust deep learning models is that a sufficient amount of high-quality annotated training data is available.
Sumam Francis, Jordy Van Landeghem, Marie-Francine Moens   +2 more
doaj   +1 more source