Making decisions with evidential probability and objective Bayesian calibration inductive logics
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Mantas Radzvilas +2 more
openaire +3 more sources
Financial and Non-Financial Information Seeking: The Role of Managing Anger and Fear in Investment Strategies and Decision-making [PDF]
ObjectiveIn Iran's capital market, investors get the information they need to make decisions from various sources. Affected by different emotions, decision-making is considered one of the most complex psychological issues.
Vahid Oskou +2 more
doaj +1 more source
Theism and the Cumulative Argument [PDF]
In recent scholarly discourse, natural theology’s forefront initiative has been the construction of theistic arguments grounded in empirical observations. A notable focus within this domain is the cumulative argument (CA) approach.
Ahmad Ebadi, Mohammad Emdadi Masuleh
doaj +1 more source
Argument-based inductive logics, with coverage of compromised perception
Formal deductive logic, used to express and reason over declarative, axiomatizable content, captures, we now know, essentially all of what is known in mathematics and physics, and captures as well the details of the proofs by which such knowledge has ...
Selmer Bringsjord +6 more
doaj +1 more source
Objectives of Risk Management in the Financial Services Sector - The Perspective of Polish Enterprises Listed on the Warsaw Stock Exchange [PDF]
Risk management is now an important domain of management, often determining the probability of survival and development of enterprises. The main purpose of this article is to identify and categorize the risk management objectives adopted in the Polish ...
Piotr Jedynak, Sylwia Bąk
doaj
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Differential Tissue‐Coupled Powering for Battery‐Free Injectable Electroceuticals
A thread‐like injectable neural stimulator is powered through differential tissue‐coupled powering (DTCP), which harvests RF‐frequency tissue potentials with an elongated receiver while preserving a injectable cross‐section. The system integrates an ASIC, stimulation electrodes, and a portable transmitter, enabling wireless peripheral nerve stimulation,
Han Wu +13 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source

