Results 121 to 130 of about 13,577 (310)

Development of Nanoflare Nanosensors for Monitoring Cellular Insulin mRNA in Beta Cells and Islets

Advanced Materials Technologies, EarlyView.
This study presents the design and application of In2‐NF probes for detecting insulin mRNA in beta cells and islets. Using spherical nucleic acid‐coated gold nanoparticles, the probes offer strong fluorescent signals upon hybridization. Their performance is validated across 2D and 3D cultures and rat islets, demonstrating sensitive, real‐time mRNA ...
Yana Hu, Qizheng Zhang, Tianli Hu, Juewen Liu, Hongxing Fu, Xin Zhao, Zijiang Yang, Chenjie Xu   +7 more
wiley   +1 more source

Karush-Kuhn-Tucker conditions and Lagrangian approach for improving machine learning techniques: A survey and new developments

Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali
In this work we propose new proofs of some classical results of nonlinear programming milestones, in particular for the Kuhn-Tucker conditions and Lagrangian methods and functions.
Tiziana Ciano, Massimiliano Ferrara
doaj   +1 more source

Stochastic Improvement of Cyclic Railway Timetables

Real-time railway operations are subject to stochastic disturbances. However, a railway timetable is a deterministic plan. Thus a timetable should be designed in such a way that it can cope with the stochastic disturbances as well as possible.
Dekker, R., Vromans, M.J.C.M., Kroon, L.G., Retel Helmrich, M., Maroti, G.   +4 more
core  

Parallel Electrical Integration of Photo Bio Electrochemical Systems (photo‐BESs): Performance Gains and Load Dependency

Advanced Materials Technologies, EarlyView.
Parallel wiring of bioelectrochemical devices with conventional generators unexpectedly boosts output. A biophotovoltaic paired with a solar cell delivers up to 50% more power at low loads than their separate contributions; a plant microbial fuel cell shows similar current gains.
Valeria Marsaglia, Paolo Bombelli, Ingrid Paoletti, Ioannis A. Ieropoulos, Christopher J. Howe   +4 more
wiley   +1 more source

The Lateral Control of Unmanned Vehicles Based on Neural Network Identification and a Fast Tube Model Predictive Control Algorithm

Sensors
In traditional vehicle trajectory tracking processes, the dynamic model of the vehicle may not accurately represent complex and nonlinear vehicle behaviors.
Yong Dai, Zhichen Zhou
doaj   +1 more source

Project scheduling under undertainty – survey and research potentials. [PDF]

The vast majority of the research efforts in project scheduling assume complete information about the scheduling problem to be solved and a static deterministic environment within which the pre-computed baseline schedule will be executed. However, in the
Herroelen, Willy, Leus, Roel
core  

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Constrained Optimization and Dynamic Trade-Off Method for Formation Assignment of Heterogeneous UAV Swarms

Drones
This paper addresses the formation assignment problem for heterogeneous UAV swarms in dynamic mission environments. A constrained optimization model is constructed in which UAV capabilities are divided into shareable and exclusive types; a neighborhood ...
Zhenxing Zhang, Liping Hu, Dongwei Zhang, Rennong Yang, Ying Wang, Jialiang Zuo   +5 more
doaj   +1 more source

Viability of the Raw Cotton Production in Spain After the Decoupling of the Subsidies

Considering the latest reform of the EU's Cotton Regulation of 29th April 2004, which will come into force in the 2006/07 season, we analyse its impact on the cotton production sector of Andalusia.
Ruiz, Pedro, Gomez-Limon, Jose Antonio, Arriaza Balmon, Manuel, Gonzalez, Jose   +3 more
core  

Identification of cohesive crack fracture parameters using mathematical programming

, 2003
This thesis is concerned with the characterisation of the parameters governing the tension-softening relations of the cohesive crack model. Parameter identification is an important area in fracture mechanics as it enables the use of a fracture model for ...
Que, Norbert S.
core   +1 more source