Results 91 to 100 of about 17,265,464 (329)

The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity

FEBS Letters, EarlyView.
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley   +1 more source

Addressing Clinical Limitations of Glutaminase Inhibitors: Novel Strategies for Osimertinib‐Resistant Lung Cancer by Exploiting Glutamine Metabolic Dependency

Advanced Science
Overcoming acquired resistance to Osimertinib remains a critical challenge in treating NSCLC. This research indicates that Osimertinib‐resistant cells exhibit a strong dependence on glutamine metabolism.
Jiali Huang, Xiankang Zhang, Hui Zhang, Yu Li, Huidan Huang, Zhiyu Li, Zhixia Qiu, Hongxi Wu, Dechun Huang, Xi Xu, Jinlei Bian   +10 more
doaj   +1 more source

A CIA Triad-Based Taxonomy of Prompt Attacks on Large Language Models

Future Internet
The rapid proliferation of Large Language Models (LLMs) across industries such as healthcare, finance, and legal services has revolutionized modern applications.
Nicholas Jones, Md Whaiduzzaman, Tony Jan, Amr Adel, Ammar Alazab, Afnan Alkreisat   +5 more
doaj   +1 more source

Optimization of Display Window Design for Females’ Clothes for Fashion Stores through Artificial Intelligence and Fuzzy System [PDF]

, 2022
Maha M. A. Lashin, M. Ijaz Khan, Nidhal Ben Khedher, Sayed M. Eldin   +3 more
openalex   +1 more source

Analysis and Design Optimization of a Permanent Magnet Synchronous Motor for a Campus Patrol Electric Vehicle

IEEE Transactions on Vehicular Technology, 2019
This work presents the analysis, design and optimization of a permanent magnet synchronous motor (PMSM) for an electric vehicle (EV) used for campus patrol with a specific drive cycle.
Xiaodong Sun, Zhou Shi, G. Lei, Youguang Guo, Jianguo Zhu   +4 more
semanticscholar   +1 more source

Efficient Robust Optimization of Metal Forming Processes using a Sequential Metamodel Based Strategy [PDF]

, 2011
The coupling of Finite Element (FE) simulations to mathematical optimization techniques has contributed significantly to product improvements and cost reductions in the metal forming industries.
Boogaard, A.H. van den, Klaseboer, G., Wiebenga, J.H.   +2 more
core   +1 more source

Peptide‐based ligand antagonists block a Vibrio cholerae adhesin

FEBS Letters, EarlyView.
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang, Grace Du, Charity Yongo‐Luwawa, Angelina Lu, Brett Kinrade, Kim Munro, Karl E. Klose, William D. Lubell, Peter Davies, Shuaiqi Guo   +9 more
wiley   +1 more source

Conversion Rate Optimization through Evolutionary Computation

, 2017
Conversion optimization means designing a web interface so that as many users as possible take a desired action on it, such as register or purchase.
Brundage, Myles, Cordell, Ron, Dean, Randy, Epstein, Jonathan, Iscoe, Neil, Lamba, Gurmeet, Miikkulainen, Risto, Nazari, Sam, Schoolland, Cory, Shagrin, Aaron   +9 more
core   +1 more source

Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer

FEBS Letters, EarlyView.
Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani, Noemi E. Nwosu, Viktoria Gocke, Müge Kasanmascheff, Hannes Mutschler   +4 more
wiley   +1 more source

TKEO-Enhanced Machine Learning for Classification of Bearing Faults in Predictive Maintenance

Applied Sciences
Predictive maintenance is essential for improving the efficiency of equipment and reducing downtime in industrial operations. This study investigates the application of machine learning in predictive maintenance, specifically emphasizing data ...
Xuanbai Yu, Olivier Caspary
doaj   +1 more source