Results 1 to 10 of about 1,595 (181)
BackgroundOnline health information is widely available, but a substantial portion of it is inaccurate or misleading, including exaggerated, incomplete, or unverified claims.
Dongmei Tan +5 more
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LotusSQL: SQL Engine for High-Performance Big Data Systems
In recent years, Apache Spark has become the de facto standard for big data processing. SparkSQL is a module offering support for relational analysis on Spark with Structured Query Language (SQL).
Xiaohan Li +4 more
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Nanoscale programming of cellular and physiological phenotypes: inorganic meets organic programming
The advent of protein design in recent years has brought us within reach of developing a “nanoscale programing language,” in which molecules serve as operands with their conformational states functioning as logic gates.
Nikolay V. Dokholyan
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Uncovering the Relationship between Human Connectivity Dynamics and Land Use
CDR (Call Detail Record) data are one type of mobile phone data collected by operators each time a user initiates/receives a phone call or sends/receives an sms. CDR data are a rich geo-referenced source of user behaviour information.
Olivera Novović +4 more
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Presented contribution is dedicated to discussion of two different approaches into increase of programming language safety. They are language subset and extension of original safety mechanisms.
Tomáš Brandejský, Vít Fábera
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Large Scale Implementations for Twitter Sentiment Classification
Sentiment Analysis on Twitter Data is indeed a challenging problem due to the nature, diversity and volume of the data. People tend to express their feelings freely, which makes Twitter an ideal source for accumulating a vast amount of opinions towards a
Andreas Kanavos +5 more
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Spark: The First Choice for Novices
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science.
Judith Gal-Ezer, Smadar Szekely
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Programming education has become increasingly vital within global K–12 curricula, and large language models (LLMs) offer promising solutions to systemic challenges such as limited teacher expertise and insufficient personalized support.
Bixia Tang +3 more
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MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic
This article presents MP-SPILDL, a massively parallel inductive logic learner in Description Logic (DL). MP-SPILDL is a scalable inductive Logic Programming (ILP) algorithm that exploits existing Big Data infrastructure to perform large-scale inductive ...
Eyad Algahtani
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MP-HTHEDL: A Massively Parallel Hypothesis Evaluation Engine in Description Logic
We present MP-HTHEDL, a massively parallel hypothesis evaluation engine for inductive learning in description logic (DL). MP-HTHEDL is an extension on our previous work HT-HEDL, which also targets improving hypothesis evaluation performance for inductive
Eyad Algahtani
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