Results 131 to 140 of about 34,637 (273)
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
Extremal Graph Theory: Basic Results
Η παρούσα διπλωματική εργασία έχει σκοπό να παρουσιάσει μία σφαιρική εικόνα της θεωρίας των ακραίων γραφημάτων, διερευνώντας κοινές τεχνικές και τον τρόπο που εφαρμόζονται σε κάποια από τα πιο διάσημα αποτελέσματα του τομέα. Το πρώτο κεφάλαιο είναι μία εισαγωγή στο θέμα και κάποιοι προαπαιτούμενοι ορισμοί και αποτελέσματα.
openaire +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Expanding graphs of the Extremal Graph Theory and expanded platforms of Post Quantum Cryptography [PDF]
Vasyl Ustimenko +2 more
doaj +1 more source
Study of Free‐Space Optical Quantum Network: Review and Prospectives
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley +1 more source
Sombor topological indices for different nanostructures. [PDF]
Imran M +4 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
On Zagreb coindices and Mostar index of [Formula: see text] nanotubes. [PDF]
Imran M +4 more
europepmc +1 more source
Results in Ramsey theory and extremal graph theory
In this thesis, we study several combinatorial problems in which we aim to find upper or lower bounds on a certain quantity relating to graphs. The first problem is in Ramsey theory, while the others are in extremal graph theory. In Chapter 2, which is joint work with Vojtěch Dvořák, we consider the Ramsey number $R(F_n)$ of the fan graph $F_n$, a ...
openaire +1 more source
The Importance of Metal‐Organic Framework Linker Atoms for CO2 Reduction: A DFT Study
Using DFT, we examine the role of linker atoms in CO2 reduction on copper‐based metal organic frameworks (Cu MOFs). Our calculations reveal that linker atoms may serve as both CO2 and H‐shuttling sites and suggest linker electrostatics as a descriptor for linker activity. ABSTRACT Although the metal within the secondary building unit of a metal‐organic
Ugochukwu Nwosu, Samira Siahrostami
wiley +1 more source

