PENGARUH HARGA SAHAM, VOLUME PERDAGANGAN SAHAM, DAN VOLATILITAS RETURN SAHAM PADA BID-ASK SPREAD
The purpose of this study is to analize the effect of stock price, stock trading volume, and volatility of stock returns on bid-ask spread. The population of this study is 20 companies incorporated in LQ45 index that appear successively during the ...
Ni Made Wahyuliantini +1 more
doaj
ASYMMETRIC INFORMATION COST DAN HOLDING PERIODS SAHAM BIASA DI BURSA EFEK INDONESIA
The aim of this study is analyze variable s influencing holding period of common stock on public firm listed in LQ 45 index, that are firms generally have good performance assessed based on both marked performance and firm fundamental, then analyzing the
Sulistyo Sulistyo, Vinus Maulina
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
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
Relationship between information asymmetry and cost of capital [PDF]
Shareholders expected return is normally impacted by informational risk and informational asymmetry, on the other hand, creates informational risk. Thus, investors demand greater risk premium in the case of informational asymmetry and in turn corporate ...
Fateme Rahmani, Hosein Kazemi
doaj
Thermodynamic Analysis of Financial Markets: Measuring Order Book Dynamics with Temperature and Entropy. [PDF]
Li H, Xiao Y, Polukarov M, Ventre C.
europepmc +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source

