Results 181 to 190 of about 260,326 (318)

Design for recycling in electronic manufacturing: enabling circularity and lower impact manufacturing through heterogeneous integration and lower impact recovery. [PDF]

Npj Mater Sustain
Zhang T, Harwell J, Cameron J, Zhang S, Heidari H, Kettle J.   +5 more
europepmc   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Taxation and Heterogeneous Preferences [PDF]

Non-linear income taxes and linear commodity taxes are analysed when people differ with respect to ability, high-skilled agents have heterogeneous preferences, and neither individual abilities nor preferences are observable.
Sören Blomquist, Vidar Christiansen
core  

A universal 2D-on-SiC platform for heterogeneous integration of epitaxial III-N membranes. [PDF]

Sci Adv
Kim SH, Lee H, Kim DG, Kim D, Kim S, Kim H, Ha S, Yang H, Jang Y, Yoon J, Lee B, Lee JH, Chung RBK, Park H, Kim S, Lee TH, Kum HS.   +16 more
europepmc   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Emerging Copper-to-Copper Bonding Techniques: Enabling High-Density Interconnects for Heterogeneous Integration. [PDF]

Nanomaterials (Basel)
Bao W, Zhang J, Wong H, Liu J, Li W.
europepmc   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

Misalignment in Mechanical Interlocking Heterogeneous Integration: Emergent Behavior and Geometry Optimization. [PDF]

Micromachines (Basel)
Nakamura M, Heyes C, Rocheville E, Peterson K, Brown JJ.   +4 more
europepmc   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Stability Tests for Heterogeneous Panel Data [PDF]

This paper proposes a new test for structural instability in heterogeneous panels. The test builds on the seminal work of Andrews (2003) originally developed for time series. It is robust to non-normal, heteroskedastic and serially correlated errors, and
Felix Chan Tommaso Mancini-Griffoli Laurent L. Pauwels
core