Retrieval-augmented generation increasingly serves as the knowledge backbone for sensor-informed infrastructure decisions, where a field engineer must retrieve the clause stating a design criterion, not a document about the topic. In twenty years (20...
This study examines how the relationship between perceived financial accounting disclosures (FAD) and investor reactions to negative financial news (IRNFN) is conditioned by two individual-level moderators among 310 retail investors holding shares in...
Although deep learning methods have shown high performance in chest X-ray classification, high accuracy alone does not guarantee reliable reasoning. A model may still exhibit pathological behavior, such as unstable evidence usage under harmless input...
Crustal movement is one of the main factors influencing the change of the Earth system, especially in its vertical direction, which affects people’s daily life through the frequent occurrence of earthquakes, geological disasters, and so on. In order...
On the basis of the analyses of past cases, we demonstrate how cognitive biases are ubiquitous in the process of incidents, crashes, collisions or disasters, as well as how they distort decision making and lead to undesirable outcomes. Five case stud...
Studies have shown that “framing bias,” a phenomenon in which two different presentations of the same decision-making problem provoke different answers, is reduced in a foreign language (the Foreign Language effect, FLe). Three explanations have emer...
The flight capability of drones expands the surveillance area and allows drones to be mobile platforms. Therefore, it is important to estimate the kinematic state of drones. In this paper, the kinematic state of a mini drone in flight is estimated ba...
This study investigates how bio-inspired versus sustainability-focused framing influences lay evaluations of a specific bio-inspired building-technology scenario, testing the empirical validity of the so-called “biomimetic promise”. Emplo...
Global data reveal ongoing inequalities faced by minorities, often reinforced by media portrayals that depict them as threats, victims, or passive individuals without agency. While media framing has been extensively studied, especially in terms of me...
Given the complexity of assessing the environmental sustainability of products, consumers rely on cognitive strategies to simplify complex information and develop quick judgments, often referred to as heuristics, when processing eco-information. One...
Objective: This study investigates the influence of selecting three thermoplastics as raw materials (PLA, PETG, and ABS) on dimensional accuracy, defect formation, and slicer-based mass prediction reliability in FFF 3D-printed UAV micro-frames. Metho...
Publicly funded sport events are partially justified based on positive social impacts. Past research generally measured social impact for a generic and global “other” with claims such as “Events create new friendships in the communi...
Multi-criteria decision-making (MCDM) methods aim at dealing with certain limitations of human information processing. However, cognitive biases, which are discrepancies of human behavior from the behavior of perfectly rational agents, might persist...
This research investigates the influence of national culture, particularly power distance, on firms’ carbon dioxide (CO2) emissions. Drawing on a large international dataset spanning over a decade, we examine how power distance, agency conflict...
Background: Cognitive biases are popular topics in psychology and marketing, as they refer to systematic cognitive tendencies in human thinking that deviate from logical and rational reasoning. The framing effect (FE) and the decoy effect (DE) are ex...
Trust and reciprocity have paramount importance in cooperative relationships. The influence of psychological effects such as framing and anchoring on trust and reciprocity has been investigated; however, the impact of an order effect on them is still...
Revealed preference is one of the most influential ideas in economics. It is, however, not clear how it can be generally applied in cases where agents’ choices depend on arbitrary changes in the decision environment. In this paper, we propose a...
31 March 2021
Search engine marketing accounts for a high percentage of investment in platforms such as Google. Several studies have confirmed that users have a negative bias towards advertisements, so we apply social psychology theories via the elaboration probab...
Attitude errors, accelerometer bias, the gravity disturbance vector, and their coupling are the primary factors obstructing strapdown airborne vector gravimetry. This paper takes the geocentric inertial frame as a reference and solves the kinematic e...
The BeiDou global navigation satellite system (BDS-3) has been widely applied in various geodetic applications since its full operation. However, the estimated station coordinates using BDS-3 are less precise compared to GPS results. It contains syst...
19 June 2013
Rather than conforming to the assumption of perfect rationality in neoclassical economic theory, decision behavior has been shown to display a host of systematic biases. Properly understood, these patterns can be instrumentalized to improve outcomes...
The present paper aims at revealing and ranking the factors that most frequently cause bias in marketing-related publications. In order to rank the factors causing bias, the authors employed the Analytic Hierarchy Process method with three different...
In magnetic resonance imaging (MRI), epicardial adipose tissue (EAT) overload remains often overlooked due to tedious manual contouring in images. Automated four-chamber EAT area quantification was proposed, leveraging deep-learning segmentation usin...
Cross-cultural reasoning and alignment have been identified as key weaknesses of large language models (LLMs), but the architectural or cognitive features underlying these failures have not been adequately examined. In addition, previous studies rely...
Pre-harvest fruit yield estimation is useful to guide harvesting and marketing resourcing, but machine vision estimates based on a single view from each side of the tree (“dual-view”) underestimates the fruit yield as fruit can be hidden...
A time of turmoil and uncertainty is invading the public sphere. Under the framework of the 2020 US elections, populist leaders around the world supported Trump’s speech on Twitter, sharing a common ideology and language. This study examines which is...
Large Language Models (LLMs) are increasingly deployed in decision-support systems across high-stakes domains, yet their susceptibility to cognitive biases—systematic deviations from rational judgment well-documented in human psychology—r...
The bias stability performance of accelerometers is essential for an inertial navigation system. The traditional pendulous accelerometer usually has a flexible connection structure, which could limit the long-term bias stability. Here, based on the m...
1 January 2023
Objectives: Cognitive biases (CB), an important source of medical errors, have been investigated in many clinical specialties. They have never been demonstrated in the field of neurocognitive disorders and Alzheimer’s disease, where the diagnostic ac...
Video synthetic aperture radar (ViSAR) provides continuous multiframe images while maintaining high resolution and has become an important tool for complex scene surveillance and moving target tracking. ViSAR imaging is susceptible to interframe drif...
Positional consumption is spending valued mainly for relative standing rather than intrinsic usefulness. A progressive consumption tax can, in principle, reduce the social costs of status-driven spending by taxing consumption rather than saving, but...
Agentic artificial intelligence (AAI) and retrieval-augmented generation (RAG) are increasingly embedded in organisational business intelligence (BI) and business process management (BPM). Unlike conventional AI, these systems set sub-goals, plan mul...
The transient receptor potential vanilloid type 1 (TRPV1) is a multimodal receptor which responds to various stimuli, including capsaicin, protons, and heat. Recent advances in cryo-electron microscopy have revealed the structures of TRPV1. However,...
Bangladesh witnessed its biggest nationwide mass uprising since gaining independence in 1971, which led to the overthrow of an authoritarian government that had existed for a decade. This study employed the protest paradigm to analyze how the protest...
The multi-strip method is often used to establish a demand model for fragility analysis. Using the multi-strip method to scale the ground motion record may cause uncertainty and bias in structural response calculation and fragility assessment. It is...
Inaccurate estimates of the linear prediction coefficient (LPC) and noise variance introduce bias in Kalman filter (KF) gain and degrade speech enhancement performance. The existing methods propose a tuning of the biased Kalman gain, particularly in...
Bias thermal sensitivity is a significant performance parameter of a silicon resonant accelerometer (SRA) and is normally used to evaluate the degree of engineering practicability. Theoretical analysis demonstrates that temperature-induced stress is...
In the context of polarized media discourse, this study examines how outlets with distinct political leanings constructed multimodal representations of the 2025 Los Angeles protests. Adopting a corpus-assisted Multimodal Critical Discourse Analysis (...
The implementation principle of a typical three-pulse cold atom interference gyroscope is introduced in this paper. Based on its configuration and current research status, the problems of cold atom interference gyro are pointed out. The data-rate is...
Background/Objectives: Handheld dynamometers are increasingly used for muscle strength assessment because of their low cost, portability, and ease of implementation in clinical and sports settings. However, it remains unclear whether measurements obt...
Background/Objectives: Gastrointestinal (GI) bleeding is a common, potentially life-threatening condition, and capsule endoscopy (CE) is the principal investigation for suspected small-bowel bleeding after non-diagnostic upper endoscopy and colonosco...
Miniaturised proximity Time-of-Flight (ToF) sensors are attractive for robotics applications due to their low cost, compact size, and low power consumption, which makes them suitable for direct distribution on the robot body. However, both the accura...
Atheism has stirred up controversy in the Arabic-speaking world since the 2011 uprisings, when atheists there began appearing in public. What role does Arabic mass media play in the modern politics of minorities such as atheists, given the heated deb...
Given the recent proliferation of Unmanned Aerial Systems (UASs) and the consequent importance of counter-UASs, this project aims to perform the detection and tracking of small non-cooperative UASs using Electro-optical (EO) and Infrared (IR) sensors...
Background: Minimally invasive surgery (MIS) is an advanced surgical technique that relies on a camera to provide the surgeon with a visual field. When the camera rotates along its longitudinal axis, the horizon of the surgical view tilts, increasing...
A growing body of literature recognises media narratives’ influence in shaping public perceptions of leadership and governance. Studies suggest that women presidential aspirants are often framed within symbolic constraints, where they are perce...
19 January 2022
MMA is a global sport with a growing body of psychological literature. Our main objective was to replicate and extend a past review concerning the sport psychology literature with MMA participants. We conducted our electronic search in EBSCO with the...
Lithium metal batteries offer high energy density but are challenged by dendrite growth, which can lead to short circuits and battery failure. Multiple models with varying degrees of accuracy and computational cost have been developed to understand a...
The core challenge in video-text retrieval lies in measuring the cross-modal gap between visual and linguistic representations. While mainstream methods leverage deep learning to project video and text features into a shared space for similarity matc...
Multi-stage sampling designs are often used in household surveys because a sampling frame of elements may not be available or for cost considerations when data collection involves face-to-face interviews. In this context, variance estimation is a com...
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