Results 121 to 130 of about 25,397 (329)

Pacinian Corpuscle‐Inspired Strain Conversion Enables Ultrasensitive, Linear, and Broad‐Range Piezoelectric Sensing for Cardiovascular Health Monitoring

Advanced Science, EarlyView.
A bioinspired piezoelectric sensor mimicking Pacinian corpuscles is developed to enable ultrasensitive and linear pressure sensing. A multilayer grooved architecture converts normal pressure into in‐plane strain, delivering high sensitivity, wide linear range, and efficient energy harvesting, enabling high‐fidelity wrist pulse monitoring and ...
Qi Yang, Zhongqian Song, Shengjie Liu, Yingming Ma, Weiyan Li, Huijun Kong, Cuiyu Liu, Yu Bao, Li Niu   +8 more
wiley   +1 more source

A New Biased Estimation Class to Combat the Multicollinearity in Regression Models: Modified Two--Parameter Liu Estimator

Computational Journal of Mathematical and Statistical Sciences
The multicollinearity problem occurrence of the explanatory variables affects the least-squares (LS) estimator seriously in the regression models. The multicollinearity adverse effects on the LS estimation are also investigated by many authors.
Mohamed Reda Abonazel
doaj   +1 more source

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair

Advanced Science, EarlyView.
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu, Nhu An Phan, Sy Trung Ngo, Minh Tri Phan, Thanh‐An Truong, Chi Cong Nguyen, Phuoc Thien Phan, Hoang‐Phuong Phan, Thanh Nho Do, Mai Thanh Thai   +9 more
wiley   +1 more source

THE JACKKNIFED BETA RIDGE REGRESSION ESTIMATOR: MATHEMATICAL PROGRAMMING APPROACH

, 2023
Rasha A. Farghali
openalex   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Beyond the Ban—Shedding Light on Smallholders' Price Vulnerability in Indonesia's Palm Oil Industry

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Indonesian government imposed a palm oil export ban in April 2022 to address rising cooking oil prices. This study explores oil palm smallholders' vulnerability to the policy using descriptive statistics, Lasso, and post‐Lasso OLS regressions.
Charlotte‐Elena Reich, Tim Ölkers, Vanessa Bonke, Oliver Musshoff   +3 more
wiley   +1 more source

Modified two parameter ridge estimator for beta regression model

Journal of Radiation Research and Applied Sciences
A beta regression model (BRM) typically occurs when your data involves proportions or continuous response variables that are bounded between 0 and 1, and the distributional assumptions and functional forms of a GLM with a standard error distribution (e.g.
Ayesha Junaid, Aamna Khan, Amani Alrumayh, Fatimah M. Alghamdi, Eslam Hussam, Hassan M. Aljohani, Afaf Alrashidi   +6 more
doaj   +1 more source

Affine Invariant Covariance Estimation for Heavy-Tailed Distributions [PDF]

, 2019
In this work we provide an estimator for the covariance matrix of a heavy-tailed multivariate distributionWe prove that the proposed estimator $\widehat{\mathbf{S}}$ admits an \textit{affine-invariant} bound of the form \[(1-\varepsilon) \mathbf{S ...
Ostrovskii, Dmitrii, Rudi, Alessandro
core   +3 more sources

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source