Results 51 to 60 of about 37,947 (280)

Fake Reviews Detection through Ensemble Learning

, 2020
Customers represent their satisfactions of consuming products by sharing their experiences through the utilization of online reviews. Several machine learning-based approaches can automatically detect deceptive and fake reviews. Recently, there have been studies reporting the performance of ensemble learning-based approaches in comparison to ...
Gutierrez-Espinoza, Luis, Abri, Faranak, Namin, Akbar Siami, Jones, Keith S., Sears, David R. W.   +4 more
openaire   +2 more sources

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Fake Reviews Detection Under Belief Function Framework

, 2018
Online reviews have become one of the most important sources of customers opinions. These reviews influence potential purchasers to make or reverse decisions. Unfortunately, the existence of profit and publicity has emerged fake reviews to promote or demote some target products. Furthermore, reviews are generally imprecise and uncertain.
Ben Khalifa, Malika, Elouedi, Zied, Lefevre, Eric   +2 more
openaire   +2 more sources

Fake or Genuine? Contextualised Text Representation for Fake Review Detection

Natural Language Processing, 2021
Online reviews have a significant influence on customers' purchasing decisions for any products or services. However, fake reviews can mislead both consumers and companies. Several models have been developed to detect fake reviews using machine learning approaches.
Mohawesh, Rami, Xu, Shuxiang, Springer, Matthew, Al-Hawawreh, Muna, Maqsood, Sumbal   +4 more
openaire   +2 more sources

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection

, 2019
In this paper, we describe our submission to SemEval-2019 Task 4 on Hyperpartisan News Detection. Our system relies on a variety of engineered features originally used to detect propaganda.
Baly, Ramy, Barrón-Cedeño, Alberto, Glass, James, Martino, Giovanni Da San, Mohtarami, Mitra, Nakov, Preslav, Saleh, Abdelrhman   +6 more
core   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

How to detect fake online physician reviews: A deep learning approach

Digital Health
Objective The COVID-19 pandemic has spurred an increased interest in online healthcare and a surge in usage of online healthcare platforms, leading to a proliferation of user-generated online physician reviews.
Yuehua Zhao, Tianyi Li, Qinjian Yuan, Sanhong Deng   +3 more
doaj   +1 more source

Multiscale cascaded domain-based approach for Arabic fake reviews detection in e-commerce platforms

Journal of King Saud University: Computer and Information Sciences
Fake reviews in e-commerce can lead to customer deception and financial losses. Despite the importance of fake reviews detection, studies for Arabic language are scarce due to the lack of comprehensive datasets.
Nour Qandos, Ghadir Hamad, Maitha Alharbi, Shatha Alturki, Waad Alharbi, Arwa A. Albelaihi   +5 more
doaj   +1 more source

Fake review identification and utility evaluation model using machine learning

Frontiers in Artificial Intelligence, 2023
Due to the structural growth of e-commerce platforms, the frequency of exchange of opinions and the number of online reviews of platform participants related to products are increasing.
Wonil Choi, Kyungmin Nam, Minwoo Park, Seoyi Yang, Sangyoon Hwang, Hayoung Oh   +5 more
doaj   +1 more source