Results 71 to 80 of about 35,527 (280)

Direct Gravity‐Induced Modulation of Cardiac Conduction Pathways Evidenced Through Propagation Features in Electrophysiological Mapping

Advanced Materials Technologies, EarlyView.
A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano, Matias L. Picchio, Daniele Mantione, David Mecerreyes, George G. Malliaras   +4 more
wiley   +1 more source

Do's and Don'ts When Visiting Circularly Polarized Luminescence

Advanced Optical Materials, EarlyView.
This perspective presents our insights into the principles, challenges, and opportunities of circularly polarized luminescence (CPL). Highlighting key concepts such as the dissymmetry factor (glum) and molecular design strategies, we discuss advances in CPL efficiency, emerging NIR emitters, solid‐state applications, and the growing role of theory and ...
Rafael G. Uceda, Sandra Míguez‐Lago, Carlos M. Cruz, Sara P. Morcillo, Luis Álvarez de Cienfuegos, Víctor Blanco, Araceli G. Campaña, Maria Ribagorda, Delia Miguel, Juan M. Cuerva   +9 more
wiley   +1 more source

Stacked ensemble learning for range-separation parameters [PDF]

Proceedings of the 2021 International Symposium on Molecular Spectroscopy, 2021
Zhou Lin, Alexander Kohn, Nadav Geva, Ethan French, Cheng-Wei Ju   +4 more
openaire   +1 more source

Predicting Macrophage Spatial Localization from Single‐Cell Transcriptomes to Uncover Disease Mechanisms

Advanced Science, EarlyView.
This study presents a machine‐learning framework entitled MERLIN that infers the microanatomical localization of macrophages from single‐cell transcriptomic data in structured organs such as the kidney and brain. Applying this method to existing datasets from models of acute kidney injury and diabetic nephropathy uncovered spatially resolved insights ...
Junping Yin, Qi Mei, Hans‐Joachim Paust, Ning Song, Yu Zhao, Daniela Klaus, Melanie Eichler, Yijun Hua, Jie Qin, Weiting Cheng, Christina K. Weisheit, Veronika Lukacs‐Kornek, Isis Ludwig‐Portugall, Sibylle von Vietinghoff, Christian F. Krebs, Johanna Klughammer, Ulf Panzer, Christian Kurts, Jian Li   +18 more
wiley   +1 more source

Deep learning for supervised classification [PDF]

, 2016
One of the most recent area in the Machine Learning research is Deep Learning. Deep Learning algorithms have been applied successfully to computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics ...
DI CIACCIO, AGOSTINO, GIORGI, Giovanni Maria   +1 more
core  

Prediction of infectious disease epidemics via weighted density ensembles

, 2017
Accurate and reliable predictions of infectious disease dynamics can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission.
Ray, Evan L., Reich, Nicholas G.
core   +3 more sources

Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Thaw slump susceptibility mapping (TSSM) of Qinghai–Tibet railway corridor (QTRC) is the prerequisite and basis for disaster assessment and prevention of permafrost projects.
Yi He, Tianbao Huo, Binghai Gao, Qing Zhu, Long Jin, Jian Chen, Qing Zhang, Jiapeng Tang   +7 more
doaj   +1 more source

Multi-View Stacking Ensemble for Power Consumption Anomaly Detection in the Context of Industrial Internet of Things

IEEE Access, 2018
Anomaly detection of power consumption, mainly including electricity stealing and unexpected power energy loss, has been one of the essential routine works in power system management and maintenance.
Zhiyou Ouyang, Xiaokui Sun, Jingang Chen, Dong Yue, Tengfei Zhang   +4 more
doaj   +1 more source

An Efficient Method Combined Data-Driven for Detecting Electricity Theft with Stacking Structure Based on Grey Relation Analysis

Energies, 2022
Nowadays, electricity theft has been a major problem worldwide. Although many single-classification algorithms or an ensemble of single learners (i.e., homogeneous ensemble learning) have proven able to automatically identify suspicious customers in ...
Rui Xia, Yunpeng Gao, Yanqing Zhu, Dexi Gu, Jiangzhao Wang   +4 more
doaj   +1 more source

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer

Advanced Science, EarlyView.
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang, Jie Zhu, Zequn Ding, Zhiyuan Xie, Xingchen Liu, Feihong Zhang, Xiaojun Liu, Yan Zhang, Haiyan Chen   +8 more
wiley   +1 more source