Results 131 to 140 of about 102,648 (335)

Increased plasma microbial tDR‐1 in at‐risk individuals is associated with decreased conversion to clinical rheumatoid arthritis and reduces an in vitro macrophage type 1 interferon response

open access: yesArthritis &Rheumatology, Accepted Article.
Background Microbial small RNAs (sRNAs) can regulate human genes. Higher plasma concentrations of microbial tRNA‐derived RNA‐1 (tDR‐1) were previously associated with lower rheumatoid arthritis (RA) disease activity. This study examined whether tDR‐1 concentrations differ in anti‐cyclic citrullinated peptide‐3 positive (CCP3+) at‐risk individuals (ARI)
Anastasiia Phothisane   +11 more
wiley   +1 more source

Company Location, Business Environment and Digital Maturity as Drivers of Environmental Innovation in Business

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Environmental protection has emerged as a global priority in the contemporary context. As pivotal actors in the transition towards sustainable development, companies play a crucial role through the adoption of environmental innovations. This study investigates how organisational characteristics—specifically geographical location, business ...
Carlos de las Heras‐Rosas   +3 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

open access: yesIET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi   +4 more
wiley   +1 more source

PENERAPAN NAIVE BAYES PADA INTRUSION DETECTION SYSTEM DENGAN DISKRITISASI VARIABEL

open access: yesJUTI: Jurnal Ilmiah Teknologi Informasi, 2015
Intrusion Detection System (IDS) merupakan sebuah perangkat lunak atau perangkat keras yang dapat digunakan un-tuk mendeteksi adanya aktivitas yang tidak wajar dalam jaringan.
I Nyoman Trisna Wirawan   +1 more
doaj   +1 more source

Inter‐Verified Binary Classification Models: Unveiling Key Polymer Features Against Staphylococcus aureus

open access: yesCarbon Innovation, EarlyView.
ABSTRACT Antimicrobial peptides (AMPs) are promising alternatives to antibiotics but require precise and costly sequence control for efficacy. Synthetic polymers composed of acrylate and acrylamide offer a simpler and more time‐efficient antibacterial strategy compared to AMPs.
Jooyoung Roh   +2 more
wiley   +1 more source

Intent Arabic text categorisation based on different machine learning and term frequency

open access: yesIET Networks, EarlyView., 2022
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi   +1 more
wiley   +1 more source

A Naive-Bayes Text Classifier using Laplace smoothing

open access: yes, 2023
oai:mavmatrix.uta.edu:utadatathon_2023textclassification-1000The text classifier was built using kaggle.com, a website that provides GPU resources to train large amounts of data.
Pudu, Prithvidhar
core  

Prediction of Acute Liver Injury Trajectory in Patients Following Acetaminophen Overdose: A Multibiomarker Machine Learning Proof‐of‐Concept Study

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Clinical translation of novel therapies can be hindered by heterogeneity‐driven sample size inflation in late‐stage trials. In acetaminophen‐induced liver injury (APAP DILI), many patients recover spontaneously, diluting investigational drug efficacy signals.
Chris Humphries   +8 more
wiley   +1 more source

Trigonometric words ranking model for spam message classification

open access: yesIET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi   +7 more
wiley   +1 more source

Analisis Sentimen Publik di Twitter Pasca Debat Kelima Pilpres 2024 dengan Naive Bayes

open access: yesEdumatic
The presidential election in Indonesia is a frequently discussed topic on social media, especially Twitter. This platform provides a space for people to express their views on presidential candidates and election issues, making it suitable as a data ...
Anjana Haya Atha Zharifa   +1 more
doaj   +1 more source

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