Results 81 to 90 of about 773,629 (265)

Bio‐Memristor Based on Clinical Bile Samples: A Proof‐of‐Concept Pilot Study for Detection of Gallbladder Cancer

Advanced Science, EarlyView.
In this work, we present a bile‐based memristor hardware framework that enables direct, label‐free identification of cholelithiasis and gallbladder cancer at the device level. The Ag/bile/FTO memristor features stable resistive switching and disease‐specific electrical responses, providing a conceptual foundation for circuits and an integrated ERCP ...
Junming Zhu, Yiyin Rong, Bai Sun, Ziwen Sun, Yifan Wang, Xiaobin Ren, Zelin Cao, Kaikai Gao, Jiawei Yu, Zhenkun Wang, Haoxuan Ma, Jichun Guo, Kai Cao, Mengrun Kang, Songling Wang, Fenggang Ren, Yi Lv, Qiang Lu   +17 more
wiley   +1 more source

CFD Investigation of Influences of Reverse Textures on Bearing Surface of a Journal Bearing

Journal of Applied Fluid Mechanics, 2014
It has always been the subject of interest and research to find out most efficient method to minimize the frictional loss of any mating surface in any mechanism. But it has been identified that only improvement of lubricating material cannot help much.
Santosh Kumar Mishra, Sahu Shatendra, Arnab Choudhury   +2 more
doaj  

Rotor Dynamic Behaviour of Electro-Rheological Lubricant Operated Multi-Lobe Journal Bearings

Tribology Online
An Electro-rheological (ER) fluid comprises dielectric particles blended in a non-conducting oil. The ER lubricants are commonly known as smart lubricants.
Kuldeep Narwat, Vivek Kumar, Simran Jeet Singh, Abhishek Kumar   +3 more
doaj   +1 more source

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

Advanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi, Hiba Ali, Barbara Belza, Mattia F. Palermo, Claudio Gerbaldi, Giuseppe Antonio Elia, Nagore Ortiz‐Vitoriano   +6 more
wiley   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

Nonlinear transient analysis of water lubricated bearing in the turbulent regime

Scientific Reports
Influence of turbulence on the stability characteristics of a water lubricated journal bearing is analyzed. Locus of the journal centre is plotted using the non – linear transient analysis method for different flow regimes of the bearing subjected to ...
Ravindra Mallya, Raghuvir Pai, Satish Shenoy Baloor   +2 more
doaj   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

A Comprehensive Review on Additive Manufacturing of Smart Components: Technologies, Applications, and Future Scope

Advanced Intelligent Systems, EarlyView.
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony, P. M. Ushasree, Michael Short, Jinoop Arackal Narayanan   +3 more
wiley   +1 more source

How Organizations Learn and Innovate to Institutionalize Generative AI: Trust, Feedback Loops, and Cultural Friction

AI &Innovation, EarlyView.
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag, Gautam Srivastava, Santosh Kumar Shrivastav, Daniel Rees   +3 more
wiley   +1 more source