Results 81 to 90 of about 1,503,593 (314)

Shape-position perceptive fusion electronic skin with autonomous learning for gesture interaction

Microsystems & Nanoengineering
Wearable devices, such as data gloves and electronic skins, can perceive human instructions, behaviors and even emotions by tracking a hand's motion, with the help of knowledge learning.
Qian Wang, Mingming Li, Pingping Guo, Liang Gao, Ling Weng, Wenmei Huang   +5 more
doaj   +1 more source

The Reliability of "Marks" [PDF]

, 1910
H. Austin Aikins
openalex   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source

The reliability of mental tests in the division of an academic group. [PDF]

, 1917
Beardsley Ruml
openalex   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

Molecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova, Marketa Pavlikova, Lucie Pifkova, Robin Jugas, Tana Machackova, Lenka Radova, Milana Sachlova, Renata Bartosova, Tetiana Samoilenko, Zuzana Feckova, Jana Orlickova, Erika Slamova, Elleni Ponechal Michu, Dagmar Al Tukmachi, Michaela Ruckova, Martina Vodinska, Jan Kotoucek, Tina Catela Ivkovic, Marie Boudna, Lucia Bohovicova, Teodor Stanek, Jana Halamkova, Martin Svoboda, Vladimir Prochazka, Tomas Grolich, Zdenek Kala, Ondrej Slaby   +26 more
wiley   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies

FEBS Open Bio, EarlyView.
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa, Ilva Liekniņa, Svetlana Koteloviča, Ramona Petrovska, Gediminas Žvinys, Agne Petrosiute, Asta Zubrienė, Matīss Toms Laugalis, Vendija Skeltona, Juris Jansons, Madara Kreishmane, Edita Čapkauskaitė, Daumantas Matulis, Kaspars Tārs   +13 more
wiley   +1 more source

A Novel RLS-KS Method for Parameter Estimation in Particle Filtering-Based Fatigue Crack Growth Prognostics

IEEE Access, 2019
The accurate prognosis of fatigue crack growth (FCG) is vital for securing structural safety and developing maintenance plans. With the development of structural health monitoring (SHM) technology, the particle filter (PF) has been considered a promising
Xiaopeng Liu, Weifang Zhang, Xuerong Liu, Wei Dai, Guicui Fu   +4 more
doaj   +1 more source

THE RELIABILITY OF THE THERMODILUTION METHOD FOR DETERMINATION OF THE CARDIAC OUTPUT AND THE BLOOD FLOW IN CENTRAL VEINS [PDF]

, 1957
George Fegler
openalex   +1 more source

Construction of hyperthermostable d‐allulose 3‐epimerase from Arthrobacter globiformis M30 using the sequence information from Arthrobacter psychrolactophilus

FEBS Open Bio, EarlyView.
d‐Allulose can be produced from d‐fructose by d‐allulose 3‐epimerase. Based on sequence homology information, we successfully engineered thermostable mutants with the protein engineering method. By integrating positive mutations, we constructed an enzyme that exhibits hyperthermostability without a loss in the activity.
Kensaku Shimada, Kouhei Ohtani, Pushpa Kiran Gullapalli, Kazuhiko Ishikawa   +3 more
wiley   +1 more source