Results 171 to 180 of about 175,760 (266)

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Autonomous Uncertainty Quantification for Computational Point-of-Care Sensors. [PDF]

ACS Nano
Goncharov A, Ghosh R, Joung HA, Di Carlo D, Ozcan A.   +4 more
europepmc   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Ultra-Widefield Fluorescein Angiography Findings in Patients With Retinitis Pigmentosa. [PDF]

J Vitreoretin Dis
Hong AT, Lifton J, Ameri H.
europepmc   +1 more source

Community College Retention of Hispanic Students

Journal of College Orientation, Transition, and Retention, 2005
Dustin C. Derby, Lemuel W. Watson
doaj   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Factors associated with university dropout intention among health sciences students: the mediating role of academic burnout and satisfaction with education. [PDF]

BMC Med Educ
Candelo-Meneses LM, Castro-Velasco MA, Periañez CAH, Castillo-Díaz MA.   +3 more
europepmc   +1 more source

Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam, Sangwon Cha, Md Farhad Hassan, Wenxin Cai, Tahsin Sejat Saniat, Cedar Rose Leach, Yasser Khan   +6 more
wiley   +1 more source

The design of a small Bayesian hybrid-controlled trial utilizing time-to-event data from six published sources that used best alternative care to treat liver-predominant metastasis from primary ocular melanoma. [PDF]

Contemp Clin Trials Commun
Zahrieh D, Wang X, Markovic SN, Suman VJ.   +3 more
europepmc   +1 more source