Results 31 to 40 of about 578,474 (232)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Noise Multiplication for Statistical Disclosure Control of Extreme Values in Log-normal Regression Samples

The Journal of Privacy and Confidentiality, 2014
In this article multiplication of original data values by random noise is suggested as a disclosure control strategy when only the top part of the data is sensitive, as is often the case with income data.
Martin Klein, Thomas Mathew, Bimal Sinha
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Harnessing Administrative Records for Official Statistics on People and Households

International Journal of Population Data Science, 2018
The availability and excessiveness of alternative (non-survey) data sources, collected on a daily, hourly, and sometimes second-by-second basis, has challenged the federal statistical system to update existing protocol for developing official statistics.
Misty L Heggeness
doaj   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley   +1 more source

Designing Efficient Sample Strata Through Application of Random Forest Classifiers to Administrative and Survey Data

Data Science in Science
Surveys aiming to oversample certain classes of households to reduce the variance of estimates for small subgroups typically randomly oversample units in geographies where the characteristic(s) of interest are more densely concentrated.
Jonathan Eggleston, Linden McBride, Mark Klee   +2 more
doaj   +1 more source

How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics

The Journal of Privacy and Confidentiality, 2011
U.S. federal statistical agencies continually face challenges in obtaining and using administrative records and in providing useful analytic products to support policy analysis and program planning.
Gerald W. Gates
doaj   +1 more source

Proteogenomic Profiling of Idiopathic Pulmonary Arterial Hypertension Identifies Sex‐Differential Proteins and Candidate Therapeutic Targets

Advanced Science, EarlyView.
An integrated proteogenomic analysis of 44,137 predominantly European‐ancestry UK Biobank participants aged 40–69 years identifies 12 robust proteins associated with idiopathic pulmonary arterial hypertension. These proteins define a high‐mortality molecular endotype, support early detection and mortality prediction, reveal sex‐differential proteomic ...
Xinjie Lin, Yangchang Zhang, Yang Pu, Duanke Liu, Tao Lei, Kai Ma, Qiyu He, Zheng Dou, Yuze Liu, Dengyuan Liu, Yinge He, Yanshang Wang, Xiaojiao Zheng, Yanbing Ma, Jianrong Zhou, Weiding Zhai, Binbin Su, Li Chen, Shoujun Li   +18 more
wiley   +1 more source

Inference with Pólya-Gamma Augmentation for US Election Law

Mathematics
Pólya-gamma (PG) augmentation has proven to be highly effective for Bayesian MCMC simulation, particularly for models with binomial likelihoods. This data augmentation strategy offers two key advantages.
Adam C. Hall, Joseph Kang
doaj   +1 more source

Hemp Cultivation and Crop Diversification: Implications for Ecosystem Services in Kentucky

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the ecosystem benefits of expanding hemp cultivation by assessing its impact on crop diversity. Using scenario‐based simulations and fixed‐effect panel regressions with county‐level data in Kentucky, we find that increased hemp acreage tends to enhance crop diversity, improving water quality and bird diversity.
Yunsun Park, Seong D. Yun, Brandy E. Phipps, Tyler Mark, Craig Schluttenhofer   +4 more
wiley   +1 more source