Results 161 to 170 of about 40,610 (305)

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Research on agricultural development issues based on comprehensive optimization strategy. [PDF]

Sci Rep
Dayou H, Jieyun LI, Ya W, Susu G, Xinran W, Xianchao W.   +5 more
europepmc   +1 more source

An incremental approach to the solution of global trajectory optimization problems

, 2007
This paper presents an incremental approach to the solution of multiple gravity assist trajectories (MGA) with deep space maneuvers. The whole problem is decomposed in sub-problems that are solved incrementally.
Vasile, Massimiliano, De Pascale, Paolo, Ceriotti, Matteo   +2 more
core  

Scalable Engineering of Bio‐Manufactured Extracellular Vesicles for Selective Delivery in Ovarian Cancer Patient‐Derived Models

Advanced Science, EarlyView.
Engineered extracellular vesicles displaying Ephrin‐B2 selectively target Ephrin‐B4–expressing ovarian cancer cells, enabling precise delivery in patient‐derived models. This scalable bio‐manufacturing platform reveals a versatile strategy to exploit Ephrin signaling for highly specific therapeutic payload delivery and motivates exploration of tailored
Nihar Godbole, Andrew Lai, Alexander Quinn, Marianne Gillard, Dominic Guanzon, Katherin Scholz‐Romero, Alexis Salas‐Burgos, Bastián Lillo Dapremont, Rohan Lourie, Naven Chetty, Richard Lobb, Kate Beecher, Amy E. McCart Reed, Kaltin Ferguson, Biao Sun, Yaowu He, John D. Hooper, Carlos Salomon   +17 more
wiley   +1 more source

A Hybrid Metaheuristic for High-Dimensional Constrained Optimization: Applications to Logistics and UAV Path Planning. [PDF]

Biomimetics (Basel)
Li Y, Qin C.
europepmc   +1 more source

Allosteric DNAzyme‐Enabled Sensitive and Multiplex Detection of Biomarkers for Rapid Diagnosis of Urinary Tract Infections

Advanced Science, EarlyView.
A catalytic allosteric DNAzyme assay (SMART) is developed by engineering DNAzyme into a unimolecular biosensor, enabling highly sensitive and multiplex detection of small molecules and nucleic acids. SMART enables extraction‐free, one‐pot, one‐step, isothermal, and cost‐effective detection of biological markers, achieving >95% accuracy for rapid ...
Yanzhe Shen, Chenzhi Shi, Xiaowei Ma, Pengfei Hou, Haomin Zhang, Juanxiu Qin, Li Pan, Guilin Li, Lifei Gao, Qian Ma, Donglei Yang, Min Li, Pengfei Wang   +12 more
wiley   +1 more source

A stochastic model for dynamic reconfiguration of multi-microgrid networks under demand and supply uncertainties. [PDF]

Sci Rep
Yahia Z, Gheith M.
europepmc   +1 more source

Stochastic Global Optimization [PDF]

, 2010
openaire   +1 more source

A Crack‐Based One‐Dimensional Microspheres Array Enables Thermal–Mechanical Decoupled Dual‐Functional Sensing

Advanced Science, EarlyView.
Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu, Hongyi Tu, Zehao Wang, Tianyu Zhu, Chao Wang, Min Chen, Lan Shi, Limin Wu   +7 more
wiley   +1 more source

A New Meta-Heuristic Algorithm for Optimization Based on Variance Reduction of Gaussian Distribution

Majlesi Journal of Electrical Engineering
Meta-heuristic methods are global optimization algorithms which are widely used in the engineering issues, nowadays. In this paper, a new stochastic search for optimization is presented using variable variance Gaussian distribution sampling.
Ali Namadchian, Mehdi Ramezani, Navid Razmjooy   +2 more
doaj