Roadmap on Optics and Photonics for Security and Encryption by Bahram Javidi, Artur Carnicer, Kavan Ahmadi, Yasuhiro Awatsuji, Wen Chen, Thierry Fournel, Patrice Genevet, Jingying Guo, Wenqi He, Mathieu Hebert, Aloke Jana, Edmund Y. Lam, Gui-Lu Long, Osamu Matoba, Zhaoke Mi, Inkyu Moon, Naveen K. Nishchal, Dong Pan, Xiang Peng, Pepijn W. H. Pinkse, Yishi Shi, Guohai Situ, Adrian Stern, Xiaogang Wang, Tian Xia, Yin Xiao, Xie Zhenwei, Shuo Zhu

Subjects: “…compressive imaging and deep learning…”
Get full text

Targeted Chemical Looping Materials Discovery by an Inverse Design by Brett A. Duell, Ali Ramazani, Sittichai Natesakhawat, Eric J. Popczun, Jonathan W. Lekse, Yuhua Duan

Subjects: Get full text

Preserving Early Neurovascular Responses: The Effect of tACS on the Hemodynamics in Stressed Individuals by M. N. Afzal Khan, Usman Tariq, Yara Badr, Sandra Mary Prasad, Hasan Al-Nashash

Subjects: Get full text

OpenSTARLab: open approach for spatio-temporal agent data analysis in soccer by Calvin Yeung, Kenjiro Ide, Taiga Someya, Keisuke Fujii

“…OpenSTARLab includes the Pre-processing Package that standardizes event and tracking data through Unified and Integrated Event Data and State-Action-Reward formats, the Event Modeling Package that implements deep learning-based event prediction, alongside the RLearn Package for reinforcement learning tasks. …”
Get full text

Gender differences in elementary school students’ fraction learning: roles of spatial ability and mathematical anxiety by Ruhai Zhang, Zhongting Chen, Zhongting Chen, Ciping Deng, Ciping Deng

Get full text

Etiology of Late-Onset Alzheimer’s Disease, Biomarker Efficacy, and the Role of Machine Learning in Stage Diagnosis by Manash Sarma, Subarna Chatterjee

“…It is characterized by progressive impairments in cognitive functions, behavioral changes, and learning difficulties. …”
Get full text

Experimental Study of an Approximate Method for Calculating Entropy-Optimal Distributions in Randomized Machine Learning Problems by Alexey Yu. Popkov, Yuri A. Dubnov, Ilya V. Sochenkov, Yuri S. Popkov

“…This paper is devoted to the experimental study of the integral approximation method in entropy optimization problems arising from the application of the Randomized Machine Learning method. Entropy-optimal probability density functions contain normalizing integrals from multivariate exponential functions; as a result, when computing these distributions in the process of solving an optimization problem, it is necessary to ensure efficient computation of these integrals. …”
Get full text

High-throughput platform for label-free sorting of 3D spheroids using deep learning by Claudia Sampaio da Silva, Claudia Sampaio da Silva, Julia Alicia Boos, Jonas Goldowsky, Manon Blache, Noa Schmid, Tim Heinemann, Christoph Netsch, Francesca Luongo, Stéphanie Boder-Pasche, Gilles Weder, Alba Pueyo Moliner, Roos-Anne Samsom, Ary Marsee, Kerstin Schneeberger, Ali Mirsaidi, Bart Spee, Thomas Valentin, Andreas Hierlemann, Vincent Revol

“…Recognized as one of the promising solutions, tissue engineering aims at recreating functional tissues and organs in vitro. The integration of bioprinting technologies with biological 3D models, such as multi-cellular spheroids, has enabled the fabrication of tissue constructs that better mimic complex structures and in vivo functionality of organs. …”
Get full text

Safety-Critical Trajectory Tracking Control with Safety-Enhanced Reinforcement Learning for Autonomous Underwater Vehicle by Tianli Li, Jiaming Tao, Yu Hu, Shiyu Chen, Yue Wei, Bo Zhang

“…The proposed approach addresses the substantial challenge posed by model uncertainty, which may hinder the safety and performance of AUVs operating in complex underwater environments. The RL framework can learn the inherent model uncertainties that affect the constraints in Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs). …”
Get full text

An fMRI study on the generalization of motor learning after brain actuated supernumerary robot training by Yuan Liu, Shuaifei Huang, Weiguo Xu, Zhuang Wang, Dong Ming

“…The findings suggest that BCI-SRF training enhances motor sequence learning ability by influencing the functional reorganization of sensorimotor network.…”
Get full text

Development of a machine learning-derived dendritic cell signature for prognostic stratification in lung adenocarcinoma by Fang Zhou, Fang Zhou, Meng Wang, Meng Wang, Zheng Wang, Zheng Wang, Wei Li, Wei Li, Xike Lu, Xike Lu

“…High-dimensional weighted gene co-expression network analysis (hdWGCNA) and pseudotime analysis were utilized to identify functional modules and lineage trajectories. A dendritic cell-related signature (DCRS) was constructed using multiple machine learning algorithms (Lasso-Cox, RSF, CoxBoost, Stepwise-Cox), and its prognostic performance was validated in seven external cohorts. …”
Get full text

Perceptual learning and neural correlates of virtual navigation in subjective cognitive decline: A pilot study by Amir Amedi, Shahar Shelly, Nira Saporta, Merav Catalogna

“…These findings suggest that this training has the potential to induce perceptual learning and neuroplasticity through key functional connectivity hubs, offering potential widespread cognitive benefits by enhancing critical brain network functions.…”
Get full text

ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties by Hui Qian, Yuxuan Wang, Xibin Zhou, Tao Gu, Hui Wang, Hao Lyu, Zhikai Li, Xiuxu Li, Huan Zhou, Chengchen Guo, Fajie Yuan, Yajie Wang

Get full text

Definer: A computational method for accurate identification of RNA pseudouridine sites based on deep learning. by Bo Han, Sudan Bai, Yang Liu, Jiezhang Wu, Xin Feng, Ruihao Xin

“…Studies have shown that pseudouridine is important in many biological functions such as gene expression, RNA structural stability, and various diseases. …”
Get full text

Using drawing to learn about figurative language among tertiary EFL English literature students by Clara Boon Ing Ling, Che Aleha Ladin, Jia Wei Lim

“…Nevertheless, there is still a missing link on how drawing functions as a tool for tertiary English as a Foreign Language (EFL) English Literature students to learn about, specifically, figurative language. …”
Get full text

SECURITY ASSESSMENT OF MOODLE-BASED DISTANCE LEARNING SYSTEM COMPONENTS USING STATIC ANALYSIS TOOLS by Vladislav K. Kuchmin, Grigory O. Krylov

“…The article presents a methodological approach to assessing the security of software components within the Moodle-based distance learning system using automated static source code analysis methods. …”
Get full text

Developing and evaluating the fidelity of virtual reality-artificial intelligence (VR-AI) environment for situated learning by April Tan, April Tan, Michael C. Dorneich, Elena Cotos

“…This study focuses on developing, operationalizing, and evaluating the fidelity of the VR-AI environment across four key dimensions: physical, functional, psychological, and social fidelity.MethodsTwenty participants tested the environment, completing two learning tasks: engaging with poster presenters and reflecting with a major professor. …”
Get full text

Applying the Kessler Foundation Modified Story Memory Technique to Improve New Learning in Aging Populations by Nancy D. Chiaravalloti, Erica Weber, Silvana L. Costa, Jean Lengenfelder, Diana Maloku, Nancy B. Moore, John DeLuca

“…The primary outcome measure was the total learning score from the California Verbal Learning Test II (CVLT-II) and the secondary outcome measure was the total score from the Memory Functioning Questionnaire. …”
Get full text

Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors by Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Nicholas Riccardi, Valerie L. Shalin, Valerie L. Shalin, Dirk-Bart den Ouden, Julius Fridriksson, Svetlana V. Shinkareva, Svetlana V. Shinkareva, Amit P. Sheth, Amit P. Sheth, Amit P. Sheth, Rutvik H. Desai, Rutvik H. Desai

“…To test this promise, we benchmarked ML models on structural and functional MRI to predict aphasia severity (N = 238) and naming impairment (N = 191) for a cohort of chronic-stage stroke survivors. …”
Get full text

SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques by Baixue Qiao, Baixue Qiao, Baixue Qiao, Wentao Gao, Xudong Zhang, Xudong Zhang, Min Du, Min Du, Shuda Wang, Shuda Wang, Xuanrui Liu, Xuanrui Liu, Shaozi Pang, Shaozi Pang, Chunxue Yang, Jiang Wang, Jiang Wang, Yuming Zhao, Linan Xie, Linan Xie

“…Wet experiments are the main methods to uncover genes with target functions but are expensive and time-consuming. Machine learning, in contrast, can accelerate the gene discovery process by learning from accumulated data, making it more efficient and cost-effective. …”
Get full text