Results 121 to 130 of about 25,449,411 (299)

Scalable Generation of Synthetic IoT Network Datasets: A Case Study with Cooja

Future Internet
Predicting the behavior of Internet of Things (IoT) networks under irregular topologies and heterogeneous battery conditions remains a significant challenge.
Hrant Khachatrian, Aram Dovlatyan, Greta Grigoryan, Theofanis P. Raptis   +3 more
doaj   +1 more source

Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein

FEBS Letters, EarlyView.
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux, Christian Lévêque, Fodil Azzaz, Marion Sangiardi, Sarosh R Irani, Michael Seagar, Jacques Fantini, Oussama El Far   +7 more
wiley   +1 more source

Predicting the Multiphotonic Absorption in Graphene by Machine Learning

AI
This study analyzes the nonlinear optical properties exhibited by graphene, focusing on the nonlinear absorption coefficient and the nonlinear refractive index.
José Zahid García-Córdova, Jose Alberto Arano-Martinez, Cecilia Mercado-Zúñiga, Claudia Lizbeth Martínez-González, Carlos Torres-Torres   +4 more
doaj   +1 more source

The IZA/Fable Data Consumption Indicator

Fable Data obtains card payment data directly from various financial institutions across Europe. The ingested data is enriched by proprietary models from Fable Data and is then homogenised and productised to generate a single pan-European dataset that’s ...
Martinez, Anoop Bindra, Askitas, Nikos, Cereda, Fabio Saia   +2 more
core   +1 more source

Synthetic and Real Key-Value Data Sets

, 2020
We present key-value data sets where each data set is composed of various data types. We present eight datasets including synthetic and real data sets for storing them in the key-value stores such as LevelDB of Google, RocksDB of Facebook, and Berkeley ...
Kwon, H (via Mendeley Data)
core   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
wiley   +1 more source

ChildDiffusion: Unlocking the Potential of Generative AI and Controllable Augmentations for Child Facial Data Using Stable Diffusion and Large Language Models

IEEE Access
Ensuring the availability of child facial datasets is essential for advancing AI applications, yet legal, ethical, and data scarcity concerns pose significant challenges. Current generative models such as StyleGAN excel at producing synthetic facial data
Muhammad Ali Farooq, Wang Yao, Peter Corcoran   +2 more
doaj   +1 more source

Metastatic niche shaped by host factors influences disseminated cancer cell fate

FEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward, Álvaro Ruiz‐Tabas, Patricia Altea‐Manzano   +2 more
wiley   +1 more source

JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation

IEEE Access
The emergence of Large Language Models (LLMs) has revolutionized natural language processing (NLP), enabling remarkable advancements across various applications.
Md. Faiyaz Abdullah Sayeedi, Maaz Bin Hossain, Md. Kamrul Hassan, Sabrina Afrin, Molla Md. Sabit Hossain, Md. Shohrab Hossain   +5 more
doaj   +1 more source

Synthetic Data: Generate Avatar Data on Demand

Anonymization is crucial for the sharing of personal data in a privacy-aware manner yet it is a complex task that requires to set up a trade-off between the robustness of anonymization (i.e., the privacy level provided) and the quality of the analysis that can be expected from anonymized data (i.e., the resulting utility). Synthetic data has emerged as
Thomas Lebrun, Louis Béziaud, Tristan Allard, Antoine Boutet, Sébastien Gambs, Mohamed Maouche   +5 more
openaire   +1 more source