Results 171 to 180 of about 607,854 (297)

Small area estimation on poverty indicators [PDF]

We propose to estimate non-linear small area population quantities by using Empirical Best (EB) estimators based on a nested error model. EB estimators are obtained by Monte Carlo approximation.
J.N.K. Rao, Isabel Molina
core  

Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing

Advanced Science, EarlyView.
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim, Gyunghyun Jang, Seungwon Jin, Jaewon An, Dongbin Shin, Hyeon‐Jin Shin, Jie Luo, Akel Hashim, Irfan Siddiqi, Yosep Kim, Long B. Nguyen, Hoon Hahn Yoon   +11 more
wiley   +1 more source

DATA-DRIVEN RATE-OPTIMAL SPECIFICATION TESTING IN REGRESSION MODELS [PDF]

We propose new data-driven smooth tests for a parametric regression function. The smoothing parameter is selected through a new criterion that favors a large smoothing parameter under the null hypothesis.
Emmanuel Guerre, Pascal Lavergne
core  

Disrupted Top‐Down Modulation as a Mechanism of Impaired Multisensory Processing in Autistic Children

Advanced Science, EarlyView.
In this work, we show that multisensory integration in autistic children is characterized by attenuated ERP responses and α‐band desynchronization, together with reduced theta‐band communication between parieto‐occipital and frontal regions. The intermediate neural profile observed in unaffected siblings raises the possibility that altered cortical ...
Theo Vanneau, John J. Foxe, Shlomit Beker, Sophie Molholm   +3 more
wiley   +1 more source

Hyperbolic Cosine–Exponentiated Exponential Lifetime Distribution and its Application in Reliability

International Journal of Supply and Operations Management, 2017
Recently, Kharazmi and Saadatinik (2016) introduced a new family of lifetime distributions called hyperbolic cosine – F (HCF) distribution. In the present paper, it is focused on a special case of HCF family with exponentiated exponential distribution as
Omid Kharazmi
doaj  

Deep Learning for AD Risk Screening and Progression Prediction

Advanced Science, EarlyView.
A pretrained MRI‐based deep learning model generalizes from Western cohorts to an independent Chinese cohort, detects Alzheimer's disease with high sensitivity, and identifies elevated AD risk years before diagnosis. Its risk scores align with cognition and plasma biomarkers, and individualized brain risk maps uncover clinically distinct subtypes ...
Bin Lu, Yan‐Rong Chen, Rui‐Xian Li, Ming‐Kai Zhang, Shao‐Zhen Yan, Guan‐Qun Chen, Jing‐Hua Wang, Wen‐Hui Chai, Francisco Xavier Castellanos, Paul M. Thompson, Jie Lu, Ying Han, Chao‐Gan Yan   +12 more
wiley   +1 more source

The Interplay Between Molybdopterin Synthase and Metal Metabolism Contributes to Pathogenicity in Acinetobacter baumannii

Advanced Science, EarlyView.
Pathogenic Acinetobacter baumannii scavenges metal ions as nutritional elements to survive within the host. This study demonstrates that molybdopterin synthase is essential for pathogenesis and full virulence during infection. Molybdopterin synthase subunit MoaE constitutes an intrinsically disordered C‐terminal histidine rich tail, which mediates ...
Min Jiao, Wenbo He, Zhenlin Ouyang, Ruochen Wang, Jiaxin Zhang, Xin Liu, Yiting Jing, Qinyue Yu, Xiaoyu He, Qian Qin, Litao Guo, Peter M. Hwang, Fang Zheng, Yurong Wen   +13 more
wiley   +1 more source

Efficiency of the Portuguese metros. is it different from other European metros? [PDF]

This research analyses the performance of Portuguese metros in the European context. By means of two non-parametric benchmarking techniques, respectively performance indicators and data envelopment analysis, we compute the efficiency of 37 European ...
Simões, Pedro, Costa, Álvaro, Santos, Joana, Cunha Marques, Rui   +3 more
core  

A CT Lesion Foundation Model for Non‐Invasive Assessment of Hepatocellular Carcinoma Aggressiveness and Prediction of Recurrence Risk

Advanced Science, EarlyView.
A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia, Zhehan Shen, Mengsi Li, Jianxin Lu, Ji Xia, Yang Cheng, Wenzheng Li, Shunjie Dong, Lin Deng, Ruokun Li   +9 more
wiley   +1 more source

Breakdown Point Theory for Implied Probability Bootstrap [PDF]

This paper studies robustness of bootstrap inference methods under moment conditions. In particular, we compare the uniform weight and implied probability bootstraps by analyzing behaviors of the bootstrap quantiles when outliers take arbitrarily large ...
Lorenzo Camponovo, Taisuke Otsu
core