Results 151 to 160 of about 12,807,066 (354)
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Raphin‐1 reduces the survival of PED‐DHGG cells and enhances their radiation sensitivity through both PeIF2α‐dependent and PeIF2α‐independent mechanisms. Raphin‐1 sustains elevated levels of PeIF2α, contributing to its PeIF2α‐dependent effects. Additionally, raphin‐1 interacts with CReP to mediate a separate radiosensitizing pathway that operates ...
Karin Eytan+4 more
wiley +1 more source
Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides+13 more
wiley +1 more source
Integrating Generic Competencies into Engineering Curricula
The new degrees in Spanish universities generated as a result of the Bologna process, stress a new dimension: the generic competencies to be acquired by university students (leadership, problem solving, respect for the environment, etc.). At Universidad Polite¿cnica de Madrid a teaching model was defined for two degrees: Graduate in Computer ...
Pérez Martínez, Jorge Enrique+2 more
openaire +2 more sources
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+2 more
wiley +1 more source
Generative Software Engineering
Researching evermore abstract and powerful ways of composing programs is the meat of software engineering for half a century. Important early steps were subroutines (to encapsulate actions) and records (to encapsulate data). A large step forward came with the introduction of the object-oriented concepts (classes, subclasses and virtual methods) where ...
openaire +1 more source
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik+3 more
wiley +1 more source
Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran+3 more
wiley +1 more source
Functional parameters of spermatozoa obtained by a new selection device
This study compares density gradient centrifugation and the LensHooke CA0™ device for sperm separation. DGC requires multiple steps, specialized equipment, and technical expertise. In contrast, the CA0 device offers key practical and methodological advantages, resulting in a faster, simpler, and more affordable sperm selection method.
Julio C. Chávez+8 more
wiley +1 more source
Preparation and characterization of renal cell peptides from fetal rats for their antitumor activity
This study aimed to prepare renal cells (RCs) from fetal rats which were digested by enzymes. Candidate peptides RCPs were characterized by capillary HPLC and MS and their bioactivity was predicted using peptideranker. The predicted top 10 bioactive peptides were synthesized.
Zhe Zhang+6 more
wiley +1 more source