Results 131 to 140 of about 1,095,657 (311)

Incomplete Data and Potential Risks of Drugs in People with Obesity. [PDF]

Curr Obes Rep, 2023
Apovian CM, Bruno CD, Kyle TK, Chow CR, Greenblatt DJ.   +4 more
europepmc   +1 more source

Clustering Mixed Incomplete Data

, 2002
In this chapter, we expose the possibilities of the Logical Combinatorial Pattern Recognition (LCPR) tools for Clustering Large and Very Large Mixed Incomplete Data (MID) Sets.
Guillermo Sanchez-Diaz, Jose Ruiz-Shulcloper, Mongi A. Abidi   +2 more
core   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Assessing data completeness in the international society for the study of pleura and peritoneum (ISSPP) PIPAC database: a multicenter evaluation from 2020–2024

Pleura and Peritoneum
In 2020, Pressurized Intraperitoneal Aerosol Chemotherapy (PIPAC) reached stage 2b of the IDEAL framework and a prospective international PIPAC database was launched in June 2020 by the International Society for the Study of the Pleura and Peritoneum ...
Jørgensen Magnus Skov, Hansen Pernille Shjødt, Fristrup Claus Wilki, Hübner Martin, So Jimmy, Ezanno Anne-Cecile, Hewett Peter, Ruiz-Marin Miguel, Rezniczek Günther, Düzgün Özgül, Pocard Marc, Casella Francesco, Lay Laura, Aral Marisa, Jäger Tarkan, Laminger Felix, Glehen Oliver, Goutard Claire-Angéline, Villeneuve Laurent, Di Giorgio Andrea, Mortensen Michael Bau   +20 more
doaj   +1 more source

Ambiguities, Built-In Biases, and Flaws in Big Data Insight Extraction

Information
I address the challenge of extracting reliable insights from large datasets using a simplified model that illustrates how hierarchical classification can distort outcomes. The model consists of discrete pixels labeled red, blue, or white.
Serge Galam
doaj   +1 more source

Emerging insights into CC and CXC chemokines and their receptors in Mycobacterium tuberculosis infection

FEBS Open Bio, EarlyView.
The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley   +1 more source

A Multi-Source Domain Adaptation Method for Bearing Fault Diagnosis with Dynamically Similarity Guidance on Incomplete Data

Actuators
In actual industrial scenarios, collecting a complete dataset with all fault categories under the same conditions is challenging, leading to a loss in fault category knowledge in single-source domains.
Juan Tian, Shun Zhang, Gang Xie, Hui Shi
doaj   +1 more source

Incomplete split-plots in variety trials - based on a-designs

, 2003
Incomplete split-plots based on a-designs are proposed as alternative to traditional split-plot designs. The purpose of the incomplete split-plot designs is to increase the efficiency of the treatment (whole plot factor) comparisons especially for ...
Kristensen, Dr. K.
core  

Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins

FEBS Open Bio, EarlyView.
Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley   +1 more source

Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea

Frontiers in Marine Science
Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this limitation.
Xiaotong Qu, Chengbo Wang, Chengbo Wang, Ruijia Zhao, Mingxing Fang, Mingxing Fang, Mingxing Fang, Xinlian Xie   +7 more
doaj   +1 more source