Results 141 to 150 of about 11,599,641 (313)

Noun Sequence Statistics Affect Serial Recall and Order Recognition Memory

Open Mind, 2023
Steven C. Schwering, Maryellen C. MacDonald   +1 more
doaj   +1 more source

An Excursion into the Statistical Properties of Hedge Funds [PDF]

This paper provides an overview of the most important statistical properties of individual hedge fund returns. We find that the net-of-fees monthly returns of the average individual hedge fund exhibit significant degrees of negative skewness, excess ...
Harry. M Kat, Sa Lu
core  

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Impact of syllabic constraints on error production in Korean speech: a study of serial order control with practice

Frontiers in Psychology
This study tested whether serial order in Korean speech production is shaped by a language-specific, hierarchical syllabic organization. Using a speech-error induction paradigm, native Korean speakers produced four-syllable CVC nonwords while hearing ...
Sangyub Kim, Satoru Saito, Kichun Nam
doaj   +1 more source

Short-Term Memory for Serial Order Moderates Aspects of Language Acquisition in Children With Developmental Language Disorder: Findings From the HelSLI Study. [PDF]

Front Psychol, 2021
Lahti-Nuuttila P, Service E, Smolander S, Kunnari S, Arkkila E, Laasonen M.   +5 more
europepmc   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Determinants and dynamics of current account reversals: an empirical analysis [PDF]

We use panel probit models with unobserved heterogeneity, state-dependence and serially correlated errors in order to analyze the determinants and the dynamics of current-account reversals for a panel of developing and emerging countries.
Liesenfeld, Roman, Moura, Guilherme V., Richard, Jean-François   +2 more
core  

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gabor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Learning about causal relations that change over time: primacy and recency over long timeframes in causal judgments and memory

Cognitive Research
Being able to notice that a cause–effect relation is getting stronger or weaker is important for adapting to one’s environment and deciding how to use the cause in the future.
Benjamin M. Rottman, Yiwen Zhang
doaj   +1 more source