Results 121 to 130 of about 7,470 (228)

Childhood internalising symptoms at ages 3 and 6: a meta‐analysis of epigenome‐wide associations from cord and peripheral blood

Journal of Child Psychology and Psychiatry, EarlyView.
Background Pre‐ and postpartum environments and genetic effects influence childhood internalising problems, which increase depression risk. DNA methylation (DNAm) may capture some of these effects. We therefore investigated associations between child blood DNAm and internalising problems.
Laura Schellhas, Mannan Luo, Janine F. Felix, Christian M. Page, Mona Bekkhus, Marcus R. Munafò, Luisa Zuccolo, Alexandra Havdahl, Charlotte A.M. Cecil, Gemma C. Sharp   +9 more
wiley   +1 more source

Subretinal Drusenoid Deposit Formation: Insights From Turing Patterns. [PDF]

Transl Vis Sci Technol, 2022
Young BK, Shen LL, Del Priore LV.
europepmc   +1 more source

Do the biological characteristics of trout (Salmo trutta) smolts influence their spring migration timing and maiden marine sojourn duration?

Journal of Fish Biology, EarlyView.
Abstract Anadromous salmonids migrate seaward to exploit feeding and growth opportunities in marine habitats, yet how smolt biological characteristics influence their marine migratory behavior remains poorly understood. This study used 9 years of trout (Salmo trutta) population monitoring data from 15,595 tagged age‐0+ parr, 1033 smolts detected ...
Jonathan P. Gillson, Robert E. Blackwell, Stephen D. Gregory, Jessica E. Marsh, Tea Bašić, Sophie A. M. Elliott, R. Andrew King, David L. Maxwell, William D. Riley, Jamie R. Stevens, Alan M. Walker, Rasmus B. Lauridsen   +11 more
wiley   +1 more source

Turing patterns by supramolecular self-assembly of a single salphen building block. [PDF]

iScience, 2022
Escárcega-Bobadilla MV, Maldonado-Domínguez M, Romero-Ávila M, Zelada-Guillén GA.   +3 more
europepmc   +1 more source

Policy Biases in a Model with Labor‐Market Frictions

Journal of Money, Credit and Banking, EarlyView.
Abstract We develop a model with labor‐market matching frictions that is subject to a range of shocks, including shocks to matching efficiency and bargaining power, and use the model to examine how monetary policy should respond to such shocks. We show that optimal monetary policy responds effectively to these shocks, producing economic outcomes that ...
RICHARD DENNIS, TATIANA KIRSANOVA
wiley   +1 more source

Physical interactions enable energy-efficient Turing patterns

Physical Review Research
Patterns are ubiquitous in nature, but how they form is often unclear. Turing developed a seminal theory to explain patterns based on reactions that counteract the equalizing tendency of diffusion.
Cathelijne ter Burg, David Zwicker
doaj   +1 more source

Turing patterns with high-resolution formed without chemical reaction in thin-film solution of organic semiconductors. [PDF]

Nat Commun, 2022
Xiang Z, Li J, You P, Han L, Qiu M, Chen G, He Y, Liang S, Xiang B, Su Y, An H, Li S.   +11 more
europepmc   +1 more source

Mapping the Impact of Artificial Intelligence on Firm Performance: A Bibliometric Review

Journal of Economic Surveys, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a significant driver of improvement and progress, with a profound impact on various areas of human activity. According to the existing body of scientific literature, AI possesses the potential to profoundly transform human society by automating complex processes, improving decision‐making capabilities ...
Claudiu Cicea, Corina Marinescu, Silviu Gabriel Baciu   +2 more
wiley   +1 more source

Reassessing the Impact of Artificial Intelligence on Employment: Evidence Against the Mass Job Loss Hypothesis

LABOUR, EarlyView.
ABSTRACT Advances in artificial intelligence (AI) and robotics since 2000 led to widespread concern that automation would eliminate a massive number of jobs. Frey and Osborne's influential study concluded AI and robots might eliminate nearly half of all US jobs between 2010 and 2030.
Michael J. Handel
wiley   +1 more source

How LLMs might think

Mind &Language, EarlyView.
Do large language models (“LLMs”) think? Daniel Stoljar and Zhihe Vincent Zhang have recently developed an argument from rationality for the claim that LLMs do not think. We contend, however, that the argument from rationality not only falters, but leaves open an intriguing possibility: that LLMs engage only in arational, associative forms of thinking ...
Joseph Gottlieb, Ethan Kemp, Matthew Trager   +2 more
wiley   +1 more source