Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur +4 more
wiley +1 more source
The Application of Principal Component Analysis (PCA) for the Optimization of the Conditions of Fabrication of Electrospun Nanofibrous Membrane for Desalination and Ion Removal. [PDF]
Younes K +6 more
europepmc +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Requirements, Challenges and Implications of Sustainability Reporting Assurance with Principal Component Analysis Method (PCA) [PDF]
Corporate responsibility for sustainability issues has attracted much global attention in recent years due to disasters such as pollution and ozone layer depletion.
Ghodratallah Barzegar, masoome kazemi
doaj
Low-temperature thermal hydrolysis of sludge prior to anaerobic digestion: Principal component analysis (PCA) of experimental data. [PDF]
Meshref MNA +4 more
europepmc +1 more source
Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza +3 more
wiley +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
The Predominant Sources of Heavy Metals in Different Types of Fugitive Dust Determined by Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF) Modeling in Southeast Hubei: A Typical Mining and Metallurgy Area in Central China. [PDF]
Chen H +10 more
europepmc +1 more source
In this study, we find CD55+ neutrophils show activated NETosis within bone marrow, induce BMSC senescence and osteogenesis inhibition, finally leading to bone aging initiation. Mechanistically, ROS synergizes with the CD55‐driven HIF1α‐PADI4 pathway to promote NETosis.
Yutong Guo +6 more
wiley +1 more source
Aplikasi Presensi Pegawai Dengan Metode Principal Component Analysis (PCA)
Presensi pegawai merupakan aspek penting dalam menjaga kinerja dan efisiensi organisasi, terutama pada lembaga seperti Badan Pusat Statistik (BPS) yang berperan dalam mengumpulkan dan menganalisis data statistik. Dalam upaya untuk mengidentifikasi dan menganalisis pola presensi pegawai di BPS Kabupaten Bandung masalah umum yang sering timbul dalam ...
Evi Samsudin, Ade Yuliana
openaire +1 more source

