Results 221 to 230 of about 258,206 (308)

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

A data-driven approach for high-accuracy tool wear prediction in machining Hastelloy C276. [PDF]

Sci Rep
Abdullah M, Rao ACU, Ramachandran T, Biswal S, Chaudhary SP, Singh R, Mishra A, Mann VS, Bhowmik A, Abate L.   +9 more
europepmc   +1 more source

Remote Magnetomechanical Neuromodulation Uncovers Therapeutic Mechanisms for Alleviating Parkinsonian Symptoms in Freely Moving Mice

Advanced Science, EarlyView.
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters, Lorenzo Signorelli, Christian Herff, Sophia Gimple, Renzo Riemens, Gunter Kenis, Kim Rijkers, Hamed Shabani, Jyh‐Jang Sun, Yasin Temel, Hans Clusmann, Danijela Gregurec, Sarah‐Anna Hescham   +12 more
wiley   +1 more source

Topography is a Major Determinant of Forest-Savanna Distributions in Mosaic Landscapes in Central Africa. [PDF]

Ecosystems
Zwaan A, Staal A, Te Beest M, Rietkerk M.   +3 more
europepmc   +1 more source

Silicon‐Embedded Multifunctional Heterogeneous Integration for Miniaturized Photoplethysmography Detection Devices

Advanced Science, EarlyView.
ABSTRACT The multifunctional integration of chips with high flexibility and scalable manufacturing is crucial for enhancing chip performance, reducing chip size, and simplifying chip design. However, balancing volume, cost, flexibility, and functionality using traditional heterogeneous integration methods is challenging.
Lang Chen, Shizun Hu, Zhou Yang, Shitao Shen, Pan Zhang, Han Xu, Chi Zhang, Wei Wang   +7 more
wiley   +1 more source

Phylogeny-informed random forests for human microbiome studies. [PDF]

Microbiol Spectr
Koh H.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Population Size Differences Can Lead to Biases in Phylogenetic Inference and Introgression Detection in the Presence of Purifying Selection. [PDF]

Syst Biol
He C, Chen MY, Zhu H.
europepmc   +1 more source

A Soft Mechanoluminescent Skin for High‐Resolution Optical Tactile Sensing in Human–Machine Interaction

Advanced Science, EarlyView.
A soft mechanoluminescent tactile sensor that converts force directly into light is presented, enabling imaging‐based, wiring‐free touch sensing. By integrating a flexible ML‐skin with CMOS readout, the system achieves high sensitivity, fast response, and high spatial resolution, while maintaining structural simplicity and energy efficiency, offering a
Yu Feng, Qiaojiao Wang, Yehui Liu, Jiankun Li, Senlin Hou, Xiaomeng Yang, Ziyi Li, Yanji Yi, Meng Chen, Guanglie Zhang, Hao Sun, Wen Jung Li   +11 more
wiley   +1 more source

Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis. [PDF]

Sci Rep
Ara J, Bhuiyan H, Roza II, Nahin ASM.
europepmc   +1 more source