Results 31 to 40 of about 9,138 (211)

Causal discourse structures in medical referral materials: a humanistic insight

open access: yesLinguistik Online, 2023
Humanistic studies on medical causality from language studies have hardly explored how causality is constructed in medical referral materials, which is the research gap this study intends to fill.
Emmanuel C. Chinaguh   +3 more
doaj   +1 more source

Large‐Scale Genomics Reveals Three‐Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens

open access: yesAdvanced Science, EarlyView.
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao   +7 more
wiley   +1 more source

CHARACTERISTICS OF THE EXPRESSIONS OF CAUSALITY IN RUSSIAN PROVERB

open access: yesRUDN Journal of Language Studies, Semiotics and Semantics, 2017
Any phenomenon in our real world has certain springs and causes and produces certain con-sequences. Establishing causality is the result - and sometimes a purpose - of human thinking, which makes the study of these relationships in different types of ...
- Sun Shuyang
doaj   +1 more source

Can neurofeedback provide evidence of direct brain-behavior causality?

open access: yesNeuroImage, 2022
Neurofeedback is a procedure that measures brain activity in real-time and presents it as feedback to an individual, thus allowing them to self-regulate brain activity with effects on cognitive processes inferred from behavior.
Timo L. Kvamme   +2 more
doaj   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Verbs' implicit causality in coreference and coherence processing during L2 comprehension

open access: yesFrontiers in Language Sciences
The existing psycholinguistic research suggests that verbs' implicit causality (IC) elicits two types of bias: a coreference bias, which favors re-mentioning the causally implicated entity of the event (she = Mary in Mary annoyed Lisa because she ...
Masaya Hosoda
doaj   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

open access: yesAdvanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi   +4 more
wiley   +1 more source

Agents and Patients in Physical Settings: Linguistic Cues Affect the Assignment of Causality in German and Tongan

open access: yesFrontiers in Psychology, 2017
Linguistic cues may be considered a potent tool for focusing attention on causes or effects. In this paper, we explore how different cues affect causal assignments in German and Tongan.
Andrea Bender, Sieghard Beller
doaj   +1 more source

Interacting humans use forces in specific frequencies to exchange information by touch

open access: yesScientific Reports, 2022
Object-mediated joint action is believed to be enabled by implicit information exchange between interacting individuals using subtle haptic signals within their interaction forces.
C. Colomer   +3 more
doaj   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

open access: yesAdvanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao   +4 more
wiley   +1 more source

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