22 papers · ranked by Valyu relevance
Nathalie R. de Vent, Joost A. Agelink van Rentergem, Ben A. Schmand, Jaap M. J. Murre + 1 more
'Jaap M. J. Murre' '' 'Hilde M. Huizenga'] In the Advanced Neuropsychological Diagnostics Infrastructure (ANDI), datasets of several research groups are combined into a single database, containing scores on neuropsychological tests from healthy participants. For most popular neuropsychological tests the quantity, and…
Jorge Bosch-Bayard, Lidice Galan, Eduardo Aubert Vazquez, Trinidad Virues Alba + 1 more
Can a normative database collected in one country be useful to assess EEG deviation of normality of persons from different countries? The transcultural validity of EEG normative data has been stablished by John et al. (), Alvarez et al. (), Harmony et al. (), Chabot et al. (), and Prichep (). Data from several…
Yin-Chen Wu, I-Mei Lin, Andrew Chih Wei Huang
This study referred to the standard of electroencephalography (EEG) collection of normative databases and collected the Taiwan normative database to examine the reliability and validation of the Taiwan EEG normative database. We included 260 healthy participants and divided them into five groups in 10-year age-group…
Juhee Ko, Ukeob Park, Daekeun Kim, Seung Wan Kang
We describe the utility of a standardized index (Z-score) in quantitative EEG (QEEG) capable of when referenced to a resting-state, sex- and age-differentiated QEEG normative database (ISB-NormDB). Our ISB-NormDB comprises data for 1,289 subjects (553 males, 736 females) ages 4.5 to 81 years that met strict normative…
Victoria L Chester, Maureen Tingley, Edmund N Biden
The availability of age-matched normative data is an essential component of clinical gait analyses. Comparison of normative gait databases is difficult due to the high-dimensionality and temporal nature of the various gait waveforms. The purpose of this study was to provide a method of comparing the sagittal joint…
Nihaal Mehta, Nadia K. Waheed
Normative databases of optical coherence tomography (OCT) metrics, such as retinal nerve fiber layer (RNFL) and macular thickness, are critical to clinical use of OCT imaging. In order to accurately represent the range of normal variation in patient populations, these normative databases must themselves be adequately…
Jo, Eunjae, Lee, Nakyung + 2 more
Database normalization is crucial to preserving data integrity. However, it is time-consuming and error-prone, as it is typically performed manually by data engineers. To this end, we present Miffie, a database normalization framework that leverages the capability of large language models. Miffie enables automated data…
Niko S. Snell, R. Lee
In modern databases, the practice of data normalization continues to be important in improving data integrity, minimizing redundancies, and eliminating anomalies. However, since its inception and consequent improvements, there have been no attempts to document a method which constrains the values of attributes capable…
Mashel Albarak, Muna Al‐Razgan, Rami Bahsoon
Technical debt is a metaphor that describes the long-term effects of shortcuts taken in software development activities to achieve near-term goals. In this study, we explore a new context of technical debt that relates to database normalization design decisions. We posit that ill-normalized databases can have longterm…
Rohit Murali, Suravi Patnaik, Stephen Cranefield
Researchers have long been interested in the role that norms can play in governing agent actions in multi-agent systems. Much work has been done on formalising normative concepts from human society and adapting them for the government of open software systems, and on the simulation of normative processes in human and…
Xiangyu Peng, Siyan Li, Spencer Frazier, Mark Riedl
Large-scale, transformer-based language models such as GPT-2 are pretrained on diverse corpora scraped from the internet. Consequently, they are prone to generating non-normative text (i.e. in violation of social norms). We introduce a technique for fine-tuning GPT-2, using a policy gradient reinforcement learning…
Venkata Chandrasekhar Nainala, Kohulan Rajan, Sri Ram Sagar Kanakam, Nisha Sharma + 3 more
The COCONUT (COlleCtion of Open Natural prodUcTs) database was launched in 2021 as an aggregation of openly available natural product datasets and has been one of the biggest open natural product databases since. Apart from the chemical structures of natural products, COCONUT contains information about names and…
Dimitri Yatsenko, Edgar Y. Walker, Andreas S. Tolias
The relational data model offers unrivaled rigor and precision in defining data structure and querying complex data. Yet the use of relational databases in scientific data pipelines is limited due to their perceived unwieldiness. We propose a simplified and conceptually refined relational data model named DataJoint.…
Jacob Anhøj, Prakash Nadkarni
Background The complexity and the rapid evolution and expansion of the domain of clinical information make development and maintenance of clinical databases difficult. Whenever new data types are introduced or existing types are modified in a conventional relational database system, the physical design of the database…
Laurence D. Rowe, Nikhil R. Podduturi, David Glick, Ulugbek Baymuradov + 17 more
The Encyclopedia of DNA elements (ENCODE) project is an ongoing collaborative effort to create a comprehensive catalog of functional elements. The current database exceeds 5500 experiments across more than 350 cell lines and tissues using a wide array of experimental techniques to study the chromatin structure…
Connie Y. Wang, Paul M. Chang, Marie L. Ary, Benjamin D. Allen + 3 more
We present ProtaBank, a repository for storing, querying, analyzing, and sharing protein design and engineering data in an actively maintained and updated database. ProtaBank provides a format to describe and compare all types of protein mutational data, spanning a wide range of properties and techniques. It features a…
Authors not listed
Mass spectrometry (MS) generates large datasets that are stored in increasingly optimized and complex file types, demanding technical expertise to extract information rapidly and easily. We wondered whether a simple structured query language (SQL) database could hold raw MS data and allow for easily readable queries…
Heidi J. Imker
Online resources enable unfettered access to and analysis of scientific data and are considered crucial for the advancement of modern science. Despite the clear power of online data resources, including web-available databases, proliferation can be problematic due to challenges in sustainability and long-term…
Dimitri Yatsenko, Jacob Reimer, Alexander S. Ecker, Edgar Y. Walker + 6 more
The rise of big data in modern research poses serious challenges for data management: Large and intricate datasets from diverse instrumentation must be precisely aligned, annotated, and processed in a variety of ways to extract new insights. While high levels of data integrity are expected, research teams have diverse…
Magali Ruffier, Andreas Kähäri, Monika Komorowska, Stephen Keenan + 10 more
The Ensembl software resources are a stable infrastructure to store, access and manipulate genome assemblies and their functional annotations. The Ensembl “Core” database and Application Programming Interface (API) was our first major piece of software infrastructure and remains at the centre of all of our genome…
Michael Statt, Kristopher Brown, Santosh Suram, Linda Hung + 3 more
In this work, we present DBgen, a Python library that provides a framework for defining extract-transform-load (ETL) pipelines to create and populate SQL databases. DBgen is most useful when the underlying data has complex relationships, requires multi-step analysis, is large-scale, and the type of data being collected…
Authors not listed
In recent years, the development of large language models (LLMs) has revolutionized various fields of natural science, yet their application in molecular data processing remains constrained due to the reliance on single-modality inputs and outputs. To bridge the gap between experimenters and computational tools, we…