Results 131 to 140 of about 2,842,615 (341)

AIoT-Based Visual Anomaly Detection in Photovoltaic Sequence Data via Sequence Learning

Energies
Anomaly detection is a common analytical task aimed at identifying rare cases that differ from the majority of typical cases in a dataset. In the management of photovoltaic (PV) power generation systems, it is essential for electric power companies to ...
Qian Wei, Hongjun Sun, Jingjing Fan, Guojun Li, Zhiguang Zhou   +4 more
doaj   +1 more source

Computer Aided Investigation: Visualization and Analysis of data from Mobile communication devices using Formal Concept Analysis [PDF]

, 2013
Quist-Aphetsi Kester
openalex   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

Molecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié, Davod R. Shah, Eliane E. S. Brechbühl, Michael McNicholas, Zhaoyang Xu, John H. Stockley, Laura Morcom, Diana Gold Diaz, Gemma C. Girdler, Rachel V. Seear, Gabriel Balmus, Rajiv R. Ratan, Harry Bulstrode, James A. Nathan, Manav Pathania, Kevin M. Brindle, David H. Rowitch   +16 more
wiley   +1 more source

A new commercial boundary dataset for metropolitan areas in the USA and Canada, built from open data

Scientific Data
The purpose of this study is to define the geographic boundaries of commercial areas by creating a consistent definition, combining various commercial area types, including downtowns, retail centres, financial districts, and other employment subcentres ...
Byeonghwa Jeong, Jeff Allen, Karen Chapple   +2 more
doaj   +1 more source

Data Visualization!

, 2013
Slides from a presentation I gave at the 2013 BEACON Congress. For modern scientific data, a picture can be worth billions of words. In this session, we'll discuss some of the tools and techniques used to produce informative and effective visualizations. This includes tools for producing videos, which can be tremendously insightful for visualizing data
Connelly, Brian, Moore, Jared, Zaman, Luis   +2 more
openaire   +1 more source

Development of a Voice Virtual Assistant for the Geospatial Data Visualization Application on the Web [PDF]

, 2023
Homeyra Mahmoudi, Silvana Philippi Camboim, Maria Antonia Brovelli   +2 more
openalex   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

SCARA Assembly AI: The Synthetic Learning-Based Method of Component-to-Slot Assignment with Permutation-Invariant Transformers for SCARA Robot Assembly

Robotics
This paper presents a novel synthetic learning-based approach for solving the component-to-slot assignment problem in robotics using a SCARA robot. The method uses a fully simulated environment that generates and annotates scenes based on rules and ...
Tibor Péter Kapusi, Timotei István Erdei, Masuk Abdullah, Géza Husi, András Hajdu   +4 more
doaj   +1 more source

Card-Based Approach to Engage Exploring Ethics in AI for Data Visualization [PDF]

Zezhong Wang, Shan Hao, Sheelagh Carpendale   +2 more
openalex   +1 more source