Results 71 to 80 of about 2,508,958 (213)
"Empirical Likelihood-Based Inference in Conditional Moment Restriction Models" [PDF]
This paper proposes an asymptotically efficient method for estimating models with conditional moment restrictions. Our estimator generalizes the maximum empirical likelihood estimator (MELE) of Qin and Lawless (1994).
Hyungtaik Ahn +2 more
core
This study reveals that fear learning specifically triggers PICK1/DHHC2‐dependent palmitoylation of PSD‐95 in the lateral amygdala. Fear conditioning induces the dissociation of DHHC5 from PSD‐95 and the association of PSD‐95 with DHHC2. DHHC2‐mediated palmitoylation of PSD‐95 is required for synaptic transmission and underlies fear learning–induced ...
Zu‐Cheng Shen +11 more
wiley +1 more source
Sequential recommender systems play a pivotal role in modern recommendation scenarios by capturing users’ dynamic interests through their historical interactions.
Yanan Bai +4 more
doaj +1 more source
From Research to Returns: A Firm-Level Analysis of R&D and Productivity in the Human Health Industry
In the rapidly evolving human health industry, the role of research and development (R&D) is pivotal. This study aims to investigate the relationship between R&D and labor productivity in the pharmaceutical, biotechnology, and medical device industries,
Felipe Queiroz Silva +2 more
doaj +1 more source
Import Demand Estimation and the Generalized Composite Commodity Theorem [PDF]
A frequently encountered problem in import demand estimation is how to account for competition between imports and domestic production. Traditionally, use of the Armington model has been a way to handle this problem.
Guttormsen, Atle G. +3 more
core
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Dew point pressure (DPP) emerges as a pivotal factor crucial for forecasting reservoir dynamics regarding condensate-to-gas ratio and addressing production/completion hurdles, alongside calibrating EOS models for integrated simulation.
Thitaree Lertliangchai +4 more
doaj +1 more source
GMM with many weak moment conditions [PDF]
Using many moment conditions can improve efficiency but makes the usual GMM inferences inaccurate. Two step GMM is biased. Generalized empirical likelihood (GEL) has smaller bias but the usual standard errors are too small.
Frank Windmeijer, Whitney Newey
core
Penfluridol Triggers GSDME‐Mediated Immunogenic Pyroptosis to Potentiate Antitumor Immunotherapy
A high‐throughput screen of FDA‐approved antipsychotics identifies penfluridol as a potent pyroptosis inducer acting via direct TTI1 inhibition. This triggers TNFA‐NFKB signaling and caspase‐8/‐3‐dependent GSDME cleavage. The compound stimulates antitumor immunity alone and synergizes with anti‐PD‐1 therapy, while low TTI1 expression emerges as a ...
Linfeng Li +11 more
wiley +1 more source
Generalized Pivotal Quantities And Generalized Confidence Intervals
Weerahandi [1] iepazīstina ar vispārinātu pivotālu lielumu un vispārinātu ticamības intervālu konstruēšanas idejām un iegūst atrisinājumus problēmām, kur parastās metodes nedarbojas vai nedod labu rezultātu.
Dāmis, Artis
core

