Results 121 to 130 of about 1,402 (277)

Topography‐Regulated Screening Platform for Myoblast Contact Guidance

open access: yesAdvanced Materials Technologies, EarlyView.
This study develops a topography‐regulated screening platform (12 gradients in 96‐topography‐well plate) enabling analysis of skeletal muscle morphogenesis. The topography‐induced cell morphology changed, cell polarization, and myotube differentiation, establishing an evaluative framework for generating pathologically relevant myotube phenotypes to ...
Tianqi Feng   +6 more
wiley   +1 more source

A Holistic Review of the TinyML Stack for Predictive Maintenance

open access: yesIEEE Access
Downtime caused by failing equipment can be extremely costly for organizations. Predictive Maintenance (PdM), which uses data to predict when maintenance should be conducted, is an essential tool for increasing safety, maximizing uptime and minimizing ...
Emil Njor   +3 more
doaj   +1 more source

A New Methodological Framework for Optimizing Predictive Maintenance Using Machine Learning Combined with Product Quality Parameters

open access: yes
Predictive maintenance (PdM) is the most suitable for production efficiency and cost reduction, aiming to perform maintenance actions when needed, avoiding unwanted failures and unnecessary preventive actions.
Carlo Riccio   +3 more
core   +1 more source

A Pressure Microsensor Made of Parylene‐C for Use as Medical Implant

open access: yesAdvanced Materials Technologies, EarlyView.
A monolithic parylene‐C pressure sensor with gold strain gauges provides 6.2 μV$\mu{\rm V}$·mmHg$\cdot{\rm mmHg}$−1$^{-1}$ sensitivity. The morphology of a sputtered thin film strain sensor is granular/columnar, which results in a high gauge factor of 7.5. Thermal bonding and parylene‐C coating create a hermetic cavity.
Ann‐Kathrin Klein   +2 more
wiley   +1 more source

Additive Manufacturing of Patient‐Specific Intracranial Aneurysm Cell Culture Models

open access: yesAdvanced Materials Technologies, EarlyView.
Patient‐specific intracranial aneurysm models were fabricated using chocolate moulding, 3D printed water‐soluble cores, and direct resin 3D printing. Moulding PDMS around sacrificial cores made of chocolate or 3D printed water‐soluble resin yielded accurate, expandable, and endothelializable models that outperformed resin‐based approaches.
Chloe M. de Nys   +6 more
wiley   +1 more source

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

open access: yesAdvanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi   +3 more
wiley   +1 more source

Morphology‐Driven Electromechanical Performance of Graphene‐Based Electrofluids for Emerging Soft Electronic Systems

open access: yesAdvanced Materials Technologies, EarlyView.
Here, two types of electronic components are presented: a strain sensor and a stable resistor. Electrofluids properties are tuned to match these behaviors by selecting the type of filler. We show that the morphology of the filler together with its oxygen content are the key parameters to create electrical and mechanical networks with distinct responses.
Dominik S. Schmidt   +4 more
wiley   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

open access: yesAdvanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Toward Autonomous LLM-Based AI Agents for Predictive Maintenance: State of the Art, Challenges, and Future Perspectives

open access: yesApplied Sciences
Recent advances in Large Language Models (LLMs) enable agentic systems that combine perception, reasoning, and action across the enitre Predictive Maintenance (PdM) lifecycle, including machine fault diagnosis.
Luigi Gianpio Di Maggio
doaj   +1 more source

Optimizing the Updating Stopping Condition for a Predictive Maintenance Policy

open access: yes, 2014
The updating stopping condition (USC) has great impact on the effectiveness of a predictive maintenance (PdM) policy, but did not receive enough attention.
Ming-Yi You
core   +2 more sources

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