Results 51 to 60 of about 36,247 (313)
AbstractA traditional account of coincidences has it that two facts are coincidental whenever they are not related as cause and effect and do not have a common cause. A recent contribution by Lando (Noûs 51(1): 132–151, 2017) showed that this account is mistaken.
openaire +2 more sources
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Approach or avoidance? Relationship between perceived AI explainability and employee job crafting
Amid growing concerns about the lack of transparency in algorithms, heightened focus has been placed on artificial intelligence (AI) explainability in workplace decision-making processes.
Weiwei Huo +4 more
doaj +1 more source
Virtual Mental Health Assistants (VMHAs) are utilized in health care to provide patient services such as counseling and suggestive care. They are not used for patient diagnostic assistance because they cannot adhere to safety constraints and specialized ...
Kaushik Roy +5 more
doaj +1 more source
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
<p>As explainability is an important feature of a system supporting doctors in the treatment of patients, ASCAPE adds explanations to predictive results using feature attribution computations and explainable surrogate model training and inference ...
Johannes Rust
core +1 more source
Artificial Intelligence (AI) explainability plays a crucial role in fostering robust Human-AI Interaction (HAI). However, circular reasoning compromises decision robustness due to limitations in existing AI explainability methods.
Changhyun Lee +2 more
doaj +1 more source
More Persuasive Explanation Method for End-to-End Driving Models
With the rapid development of autonomous driving technology, a variety of high-performance end-to-end driving models (E2EDMs) are being proposed. In order to understand the computational methods of E2EDMs, pixel-level explanations methods are used to ...
Chenkai Zhang +3 more
doaj +1 more source
XAI: On Explainability and the Obligation to Explain
Abstract The increasing relevance of AI systems paired with their repeatedly observed opacity gave rise to the field of explainable artificial intelligence (XAI). Methods of XAI are being developed and evaluated based on whether they overcome said opacity by providing explanations, thereby apparently pursuing an ...
Karoline Reinhardt, Oliver Buchholz
openaire +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source

