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#traits

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📘 New #DynaTrait synthesis paper online, led by Ellen van Velzen: "Flexibility in Aquatic Food Web Interactions: Linking Scales and Approaches"

Read it here: link.springer.com/article/10.1

SpringerLinkFlexibility in Aquatic Food Web Interactions: Linking Scales and Approaches - EcosystemsTrophic interactions determine food web structure and influence biodiversity, community structure, ecosystem functioning, and food web responses to global change. These interactions are highly flexible, changing on temporal scales from diurnal to evolutionary times due to phenotypic plasticity, rapid evolution and species sorting. Small-scale experimental and theoretical studies of plankton interactions have demonstrated a high relevance of this flexibility for community dynamics and ecosystem processes in small, simplified communities. However, the extent to which this flexibility affects larger-scale systems, for example, global ocean dynamics and their responses to global change, is still poorly understood. Differences in methodology, focus and terminology between research disciplines limit our ability to project established effects of flexible trophic interactions onto larger spatial and temporal scales. We propose to bridge this gap with a general framework for upscaling knowledge from small-scale research to large-scale models. Building on examples from plankton communities, we use this framework to show how mechanisms demonstrated in small-scale studies can be linked to ecosystem functions relevant at large scales. We argue for incorporating flexibility in large-scale process-based models to improve their realism and predictive power, and discuss challenges and ways forward for achieving this. Finally, we suggest several concrete ways for upscaling small-scale studies to make their findings more relevant for large-scale research, to close existing knowledge gaps and to improve our understanding of how flexible trophic interactions affect dynamics and processes across scales.

My day job is all about #genes, so I applaud the #genomic revolution in #paleontology and #evolutionary #biology. But #evolution really is more than a shift in #allele frequencies over time. It's also change in the #phenotypes those alleles produce, and their #interaction with the world around them. 🧪🖥🧬🦖

cambridge.org/core/journals/pa

So I'm equally excited about the #quantitative revolution in describing and cataloguing #traits which until recently could only be analyzed #qualitatively. There's a whole new window opening into the history of life.

Cambridge CoreMorphological evolution in a time of phenomics | Paleobiology | Cambridge CoreMorphological evolution in a time of phenomics

#rustlang #tui #daw #help

so over the past week i've been #refactoring the #tui #daw again in order to make complexity more manageable and use fewer locks in the audio thread

part of this using #traits everywhere. so many traits! for every aspect of every thing. and it does simplify things!

however... picrelated. this multiple borrows issue doesn't happen on a traitless impl block where i access the fields directly. but i don't want to do that - i want the indirection. is there a workaround?

🆕Photoblog: “Comparing 𝑀𝑦𝑟𝑚𝑖𝑐𝑎 𝑟𝑢𝑔𝑖𝑛𝑜𝑑𝑖𝑠 populations between dolines and surrounding areas in Hungary", Bonita Ratkai give us an inside about her research on variation among populations of 𝑀𝑦𝑟𝑚𝑖𝑐𝑎 𝑟𝑢𝑔𝑖𝑛𝑜𝑑𝑖𝑠 in dolines.

#karst #dolines #behaviour #variability #functional #traits

blog.myrmecologicalnews.org/20

Nature Doesn’t Care Where a #Species Is From.
A meta-analysis published in #Science showed no differences between #introduced and #native #megaherbivore impacts or evidence for stronger impacts of functionally #novel #species. Instead, large-bodied #herbivores and those with selective #diets had a stronger effect on #vegetation, suggesting a stronger role for species’ #traits than #origins in determining their impacts

science.org/doi/10.1126/scienc

theatlantic.com/science/archiv

#Personality #Traits in #LargeLanguageModels. The advent of large language models (#LLMs) has revolutionized #naturallanguageprocessing, enabling the generation of coherent and contextually relevant text. We find that: 1) #personality simulated in the #outputs of some LLMs (under specific prompting configurations) is reliable and valid arxiv.org/abs/2307.00184

arXiv.orgPersonality Traits in Large Language ModelsThe advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant text. As LLMs increasingly power conversational agents, the synthesized personality embedded in these models by virtue of their training on large amounts of human-generated data draws attention. Since personality is an important factor determining the effectiveness of communication, we present a comprehensive method for administering validated psychometric tests and quantifying, analyzing, and shaping personality traits exhibited in text generated from widely-used LLMs. We find that: 1) personality simulated in the outputs of some LLMs (under specific prompting configurations) is reliable and valid; 2) evidence of reliability and validity of LLM-simulated personality is stronger for larger and instruction fine-tuned models; and 3) personality in LLM outputs can be shaped along desired dimensions to mimic specific personality profiles. We also discuss potential applications and ethical implications of our measurement and shaping framework, especially regarding responsible use of LLMs.
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That being said, I'm actually among the perverts that are fascinated by #templateMetaProgramming (even though I'm well aware of its limitations pertaining readability and maintainability). Which is why I took @tess venting as an opportunity to challenge myself into writing a workable approach to generic properties for C++ objects with a common interface:

wok.oblomov.eu/tecnologia/cpp-

wokC++ templates and object propertiesA C++ template metaprogramming approach to generic interfaces for object properties