Panda, Swayamtrupta
Published in
Frontiers in Astronomy and Space Sciences
The Eigenvector 1 schema, or the main sequence of quasars, was introduced as an analogous scheme to the HR diagram that would allow us to understand the more complex, extended sources - active galactic nuclei (AGNs) that harbor accreting supermassive black holes. The study has spanned more than three decades and has advanced our knowledge of the di...
Liu, Yongtao Morozovska, Anna N Eliseev, Eugene A Kelley, Kyle P Vasudevan, Rama Ziatdinov, Maxim Kalinin, Sergei V
Published in
Patterns (New York, N.Y.)
Using hypothesis-learning-driven automated scanning probe microscopy (SPM), we explore the bias-induced transformations that underpin the functionality of broad classes of devices and materials from batteries and memristors to ferroelectrics and antiferroelectrics. Optimization and design of these materials require probing the mechanisms of these t...
Desaunay, Mathieu Voisset, Edwige Letard, Sebastien Roche, Philippe De Sepulveda, Paulo
Published in
Cellular and Molecular Gastroenterology and Hepatology
Siglioccolo, Antonio Gammaldi, Renato Vicinanza, Veronica Galardo, Alessio Caterino, Vittorio Palmese, Salvatore Ferraiuoli, Carmine Calicchio, Alessandro Romanelli, Antonio
Published in
Chinese journal of traumatology = Zhonghua chuang shang za zhi
Spinal cord injury (SCI) is a severe lesion comporting various motor, sensory and sphincter dysfunctions, abnormal muscle tone and pathological reflex, resulting in a severe and permanent lifetime disability. The primary injury is the immediate effect of trauma and includes compression, contusion, and shear injury to the spinal cord. A secondary an...
Mukherjee, Satyam Huang, Yun Uzzi, Brian Contractor, Noshir
Published in
Sports economics review
The small but growing body of research on team vs. team competition focuses on predicting the winner based on multilevel factors, including the team's strength and prior relations among team members within a team. Our research demonstrates the significance and power of prior relations among members between competing teams in predicting the outcome ...
Tafavvoghi, Masoud Bongo, Lars Ailo Shvetsov, Nikita Busund, Lill-Tove Rasmussen Møllersen, Kajsa
Published in
Journal of pathology informatics
Advancements in digital pathology and computing resources have made a significant impact in the field of computational pathology for breast cancer diagnosis and treatment. However, access to high-quality labeled histopathological images of breast cancer is a big challenge that limits the development of accurate and robust deep learning models. In t...
Cui, Yiming Zhang, Wei-Nan Liu, Ting
Published in
STAR protocols
The attention mechanism plays an important role in the machine reading comprehension (MRC) model. Here, we describe a pipeline for building an MRC model with a pretrained language model and visualizing the effect of each attention zone in different layers, which can indicate the explainability of the model. With the presented protocol and accompany...
Cui, Yiming Zhang, Wei-Nan Che, Wanxiang Liu, Ting Chen, Zhigang Wang, Shijin
Published in
iScience
Achieving human-level performance on some of the machine reading comprehension (MRC) datasets is no longer challenging with the help of powerful pre-trained language models (PLMs). However, the internal mechanism of these artifacts remains unclear, placing an obstacle to further understand these models. This paper focuses on conducting a series of ...
Patil, Abhijeet Diwakar, Harsh Sawant, Jay Kurian, Nikhil Cherian Yadav, Subhash Rane, Swapnil Bameta, Tripti Sethi, Amit
Published in
Journal of pathology informatics
Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic softwares are vulnerable to biases and impurities in the training and test data which can lead to inaccurate diagnoses. For instance, WSIs contain multiple types of tissue re...
M, Meucci C, Costedoat E, Verna F, Adam M, Signoli M, Drancourt M, Beye G, Aboudharam R, Barbieri
Published in
Current Research in Microbial Sciences
Background Dental pulp, encapsulating a blood drop, could be used to diagnose pathogen bacteraemia in archaeological materials using DNA-based techniques. We questioned the viability of such ancient pathogens preserved in ancient dental pulp. Methods After meticulous decontamination of 32 teeth collected from 31 World War I soldiers exhumed in Spin...
