Effect Of Bias Research Articles

The effects of strength and activation level of belief on belief-biased reasoning.

The belief bias effect designates the tendency to judge the validity of a conclusion based on its believability. Most studies have compared highly believable with unbelievable conclusions when examining belief-biased reasoning. In two studies, we examine a hypothesis raised by Banks (2013, Cognitive Science, 37[3], 544-577), who postulated that level of activation of belief should affect the extent to which reasoning is biased. Here, a first study found that moderately believable conclusions produced a significant biasing effect, but one that was smaller than with highly believable conclusions. The second study found that activating the category referenced by a conclusion significantly increased the biasing effect of the same conclusion. These results suggest that strength of belief is a necessary parameter of any model of belief bias. They also show that context can affect the extent to which belief affects reasoning.

Modeling gender differences in the job promotion process: Replication and extension of Martell et al. (1996).

Differences in employee evaluations due to gender bias may be small in any given rating cycle, but they may accumulate to produce large disparities in the number of women and men promoted to the top of an organization. A highly cited simulation by Martell et al. (1996) demonstrates this cumulative advantage process in a multilevel organization. We replicated this simulation to uncover important details about its operating assumptions, and we extended the simulation to examine a range of variables that may impact the cumulative effects of gender bias. The replication revealed that the male cumulative advantage in the Martell et al. simulation requires (a) decades of typical promotion cycles to produce, (b) constant mean differences in the performance ratings of women and men but equal within-group variances, and (c) attrition that occurs randomly at a low and constant rate. Our extended simulation demonstrates that (a) cumulative effects of gender bias are higher when the attrition rate is lower, (b) gender biases are mitigated when attrition is more strongly associated with good or poor performance, and (c) the cumulative effects of mean gender differences in performance ratings can often be smaller than the cumulative effects of variance differences between gender subgroups. Results suggest that talent development and recognition of high performers might have a greater positive impact on female representation at top levels of a firm than programs aimed at reducing bias in employee evaluations. We encourage additional simulation work that further explores the dynamics of cumulative advantage in employment settings. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Digital assessment of cognitive-affective biases related to mental health.

With an increasing societal need for digital therapy solutions for poor mental health, we face a corresponding rise in demand for scientifically validated digital contents. In this study we aimed to lay a sound scientific foundation for the development of brain-based digital therapeutics to assess and monitor cognitive effects of social and emotional bias across diverse populations and age-ranges. First, we developed three computerized cognitive tasks using animated graphics: 1) an emotional flanker task designed to test attentional bias, 2) an emotional go-no-go task to measure bias in memory and executive function, and 3) an emotional social evaluation task to measure sensitivity to social judgments. Then, we confirmed the generalizability of our results in a wide range of samples (children (N = 50), young adults (N = 172), older adults (N = 39), online young adults (N=93), and depression patients (N = 41)) using touchscreen and online computer-based tasks, and devised a spontaneous thought generation task that was strongly associated with, and therefore could potentially serve as an alternative to, self-report scales. Using PCA, we extracted five components that represented different aspects of cognitive-affective function (emotional bias, emotional sensitivity, general accuracy, and general/social attention). Next, a gamified version of the above tasks was developed to test the feasibility of digital cognitive training over a 2-week period. A pilot training study utilizing this application showed decreases in emotional bias in the training group (that were not observed in the control group), which was correlated with a reduction in anxiety symptoms. Using a 2-channel wearable EEG system, we found that frontal alpha and gamma power were associated with both emotional bias and its reduction across the 2-week training period.

Structural, magnetic, optical and electronic properties of Gd2NiIrO6

Polycrystalline Gd2NiIrO6 double perovskite compound was synthesized by the solid-state route. Rietveld refinement of the X-ray diffraction pattern revealed that the compound was crystallized in a monoclinic structure with P21/n space group (IUCr. No. 14). The scanning electron micrograph showed that the grains were spherical and well distributed with an average grain size of around 1 μm. The temperature-dependent magnetic measurements showed magnetic transitions at 165 K and 149 K in the low-temperature region. Below the transition temperatures, weak ferromagnetism was evidenced by field-dependent magnetization measurements. Exchange bias effects were observed which were driven by Dzyaloshinsky–Moriya interactions in the compound. The UV–visible measurement evidenced that the compound had an optical band gap of 1.8 eV. The electronic structure calculations using the DFT + U method revealed that Gd2NiIrO6 compound exhibited a bandgap only when on-site correlations for the d-states were included, and the calculation showed that the AF1 configuration was energetically favourable.

Vibration and noise mechanism of a 110 kV transformer under DC bias based on finite element method

Global energy and environmental issues are becoming increasingly problematic, and the vibration and noise problem of 110 kV transformers, which are the most widely distributed, have attracted widespread attention from both inside and outside the industry. DC bias is one of the main contributing factors to vibration noise during the normal operation of transformers. To clarify the vibration and noise mechanism of a 110 kV transformer under a DC bias, a multi-field coupling model of a 110 kV transformer was established using the finite element method. The electromagnetic, vibration, and noise characteristics during the DC bias process were compared and quantified through field circuit coupling in parallel with the power frequency of AC, harmonic, and DC power sources. It was found that a DC bias can cause significant distortions in the magnetic flux density, force, and displacement distributions of the core and winding. The contributions of the DC bias effect to the core and winding are different at Kdc = 0.85. At this point, the core approached saturation, and the increase in the core force and displacement slowed. However, the saturation of the core increased the leakage flux, and the stress and displacement of the winding increased faster. The sound field distribution characteristics of the 110 kV transformer under a DC bias are related to the force characteristics. When the DC bias coefficient was 1.25, the noise sound pressure level reached 73.6 dB.

The Effect of Overconfidence Bias, Risk Tolerance, and Herding Bias on Stock Investment Decisions with Financial Literacy as a Moderation Variable

This study aims to analyze the effect of Overconfidence Bias, Risk Tolerance, and Herding Bias on Stock Investment Decisions with Financial Literacy as a Moderating Variable. The subjects in this study were: (1) Students aged >17 years to 27 years, (2) having financial assets in the stock sector, (3) had done trading, and (4) domiciled in DIY, (5) or joined KSPM (Capital Market Study Group). KSPM members were chosen as research subject because they are considered as individuals who understand more about stocks and follow the development of the capital market. In this study, the sample amounted to 120 respondents selected using purposive sampling analysis technique, then the data was processed using the SPSS 25 software. Data were collected through a survey by distributing questionnaires online via Google Form to various social media platforms such as WhatsApp, line, telegram, Instagram, and twitter (now X). Based on the analysis that has been done, the results show that Overconfidence Bias, Risk Tolerance, and Herding Bias have a positive and significant effect on stock investment decisions, while Financial Literacy moderates a negative and significant effect on the influence of Overconfidence Bias, Risk Tolerance, and Herding Bias on stock investment decisions. Keywords: Overconfidence Bias, Risk Tolerance, Herding Bias, Financial Literacy, Investment Decisions

How Investment Behaviour of Young Investors? A Case Study on The Indonesia Stock Exchange

This research aims to dig deeper into the investment behavior of young investors on the Indonesian Stock Exchange. This research was conducted in Bali Province, especially the Denpasar City area. The sample was determined using convenience sampling with a total sample of 180 young investors, namely the millennial generation and generation z in Denpasar City. Data was obtained directly from distributing questionnaires via Google Form. The data analysis technique used is SEM-PLS analysis. The research results show that, 1) herding behavior effect investment decision making, 2) heuristic bias has no effect on investment decision making, 3) anchoring bias effect investment decision making, 4) the level of overconfidence an investor has will improve the investment decision making process , 5) herding behavior does not have a significant effect on the level of overconfidence, 6) heuristic bias can increase the level of overconfidence, 7) anchoring bias can increase the level of overconfidence, 8) overconfidence cannot increase the effect of herding behavior to improve investment decisions, 9) overconfidence can increasing the effect of heuristic bias to improve investment decisions, and 10) overconfidence can increase the effect of anchoring bias to improve investment decisions. Future researchers can further examine overconfidence in mediating the effect of herding behaviours on investment decision making, and the effect of heuristic bias on investment decision making. Young investors in Denpasar City are advised to increase their knowledge and investment skills in the capital market to reduce the risk of bias in making investment decisions.

Prevalence and management of pulmonary nodules: a systematic review and meta-analysis.

Pulmonary nodules are small, focal lesions often identified via computed tomography (CT) scans. Although the majority are benign, a small percentage of them may be malignant or potentially become malignant, underscoring the importance of early detection and effective management. This study systematically reviews the epidemiology, risk factors, and management strategies for pulmonary nodules, comparing findings across Chinese and non-Chinese populations to better inform the actuarial calculations for predicting the demand of medical services for patients with pulmonary nodules. We performed a systematic analysis of the PubMed and China Knowledge Infrastructure (CNKI) databases for studies reporting the detection rate of pulmonary nodules through CT scans. Both cross-sectional studies and the baseline data from longitudinal studies were included. A modified version of the Newcastle-Ottawa Scale was used to assess the risk of bias and random effect models were used to estimate the overall prevalence. We identified 32 studies and included 24 of them in our meta-analysis. Pooled analysis showed that the overall prevalence of pulmonary nodules was 0.27 (95% confidence interval: 0.25-0.29) after outliers removal. Subgroup analysis showed that there was no significant difference for prevalence between Chinese and non-Chinese populations. Males (0.38) were shown to have slightly higher prevalence compared to females (0.36), but not significant (P=0.88). Age and smoking are the most frequently reported risk factors by studies. Overall, 27% of participants were positive for pulmonary nodules. Advancing age and smoking were consistently identified as a key risk factor for the incidence of pulmonary nodules. Although the management strategies are different across studies, recent guidelines recommend personalized management strategies, prioritizing nodule size, characteristics, and individual risk factors to optimize outcomes.

Ge quantum well channel P-MOSFET for 2.45 GHz wireless weak energy harvesting

Wireless energy harvesting is an important application of microwave wireless energy transmission system, but due to the weak energy of RF signals in the 2.45 GHz band, its rectification efficiency is not ideal. As one of the core rectifier components of wireless weak energy harvesting system, the performance of MOSFET determines the rectification efficiency of the system, and its optimized design to improve the rectification efficiency is an important direction of current research in the field. In view of this, this paper proposes and designs Ge quantum well channel PMOS for wireless weak energy harvesting at 2.45 GHz, aiming to improve the rectification efficiency of wireless weak energy harvesting systems. Starting from adjusting the structural physical parameters of the MOS tubes, the absolute value of the threshold voltage is reduced in the weak energy density region, which in turn improves the rectification efficiency of the device. Then, the novel diode connection with the introduction of substrate bias effect is compared with the conventional connection using an ADS simulation circuit, and the simulation results show that the leakage current is smaller and the rectification efficiency is higher under the novel connection. On this basis, a Ge quantum well channel PMOS device is proposed. Compared with the Ge surface channel, the hole mobility of the quantum well channel will be greatly improved, and its rectification efficiency can also be improved. The device is connected to the rectifier circuit with a novel connection and simulated using Silvaco's Mixedmode module. The results show that the rectification efficiencies of the Ge quantum well channel MOS reach 13.53 % and 32 % at low input powers of −20.34 dBm and −6.28 dBm, respectively, which are 3.3 and 1.14 times higher than those of the conventional surface channel MOS.

Impact of Psychological Factors on Investment Decisions in Nepalese Share Market: A Mediating Role of Financial Literacy

The Nepalese stock market is characterized by emerging market dynamics and notable volatility. It is influenced by factors such as regulatory developments, economic conditions, and investor sentiment, shaping its growth trajectory and investor behavior. This study examines the influence of psychological factors on investment decisions within the Nepalese share market, emphasizing the mediating role of financial literacy. To achieve the stated objective, data were collected from the primary source using a structured questionnaire administered through random sampling technique. The respondents comprised 410 individual investors inside the Kathmandu Valley. The SmartPLS 4.0 was used to analyze the structural relationships within the proposed theoretical model. The findings of this study validated the set hypotheses that psychological factors have positive and significant effect on investment decisions among the investors in Nepalese share market. In the context of Nepal, where the share market is characterized by volatility and emerging market dynamics, these psychological biases often lead to suboptimal investment choices. Findings indicate that investors with higher financial literacy levels are better equipped to mitigate the adverse effects of psychological biases, leading to more rational and informed investment decisions. The study highlights the critical need for enhanced financial education programs to empower investors and improve overall market efficiency. By understanding the interplay between psychological factors and financial literacy, policymakers and financial institutions can develop targeted strategies to foster a more stable and resilient investment environment in Nepal.

Climate disasters and processing of green patents

AbstractUsing Chinese data, this paper reveals that climate disaster events have a positive impact on the granting of green invention patents. The occurrence of climate disasters leads the patent‐granting officials to overestimate the likelihood of disaster recurrence, strengthens their perception of environmental protection as urgent, and consequently increases the number of patents that they grant. Salience bias, the tendency to overestimate probabilities due to the occurrence of salient events, is widely studied in psychology and behavioral finance. This paper extends this research by examining the influence of salience bias on people's behavior in processing green invention patents, with a specific focus on climate disaster events in Beijing, the headquarters of China's patent examination authority. In addition to the overall positive impact on granted patent numbers, the paper finds that (i) the influence of salience bias is temporary, with a more pronounced effect on energy‐saving patents than on other categories of patents, and (ii) the primary effect is on green invention patents filed by firms in Beijing, with the effect of salience bias rapidly diminishing as the distance of the application city from Beijing increases.

Effect of branching middle responses in dichotomous scales on web surveys

Previous research shows that in telephone surveys, 11–49% of respondents select a middle alternative when it is offered on dichotomous bipolar questions, although they do not volunteer a middle option when it is not mentioned. Furthermore, offering a middle option leads to different systematic response effects, including social desirability bias and satisficing effects, which are related to respondent characteristics. Research has shown that in telephone surveys, a question form with a branching middle response has a lower response validity compared to that of a non-branching middle response. However, compared to the non-branching form, the branching form could potentially motivate respondents to spend more time and effort in their responses in the absence of an interviewer. Therefore, validity and reliability differences between branching-question form responses and non-branching-question form responses in general population web surveys have become an area of interest for research. Using a randomized experiment, this study tests the impact of a branching middle alternative in a general population survey on the validity and reliability of responses. The branching middle alternative did not change the validity and reliability of responses, and compared to the alternative, it reduced satisficing behavior based on the proxies.

The beyond-halo mass effects of the cosmic web environment on galaxies

ABSTRACT Galaxy properties primarily depend on their host halo mass. Halo mass, in turn, depends on the cosmic web environment. We explore if the effect of the cosmic web on galaxy properties is entirely transitive via host halo mass, or if the cosmic web has an effect independent of mass. The secondary galaxy bias, sometimes referred to as ‘galaxy assembly bias’, is the beyond-mass component of the galaxy–halo connection. We investigate the link between the cosmic web environment and the secondary galaxy bias in simulations. We measure the secondary galaxy bias through the following summary statistics: projected two-point correlation function, $w_{\mathrm{p}}(r_{\mathrm{p}})$, and counts-in-cylinders statistics, $P(N_{\mathrm{CIC}})$. First, we examine the extent to which the secondary galaxy bias can be accounted for with a measure of the environment as a secondary halo property. We find that the total secondary galaxy bias preferentially places galaxies in more strongly clustered haloes. In particular, haloes at fixed mass tend to host more galaxies when they are more strongly associated with nodes or filaments. This tendency accounts for a significant portion, but not the entirety, of the total secondary galaxy bias effect. Secondly, we quantify how the secondary galaxy bias behaves differently depending on the host halo proximity to nodes and filaments. We find that the total secondary galaxy bias is relatively stronger in haloes more associated with nodes or filaments. We emphasize the importance of removing halo mass effects when considering the cosmic web environment as a factor in the galaxy–halo connection.

The influence of emotional intelligence and behavioural biases on mutual fund churning frequency: Evidence from India

Behavioural finance invalidates the rationalistic assumptions of the efficient market hypothesis by proposing a realistic explanation for overreaction and underreaction. These phenomena are caused by investors making financial decisions based on their emotions without realizing them. This study attempts to establish the effect of investors' emotional intelligence on behavioural biases, namely, herding, overconfidence bias, and disposition effects, and its consequences for the churning frequency of mutual fund portfolios. This quantitative cross-sectional study was undertaken to collect data from 499 mutual fund investors using a self-administered questionnaire. We found that the disposition effect has a negative impact and that overconfidence bias positively affects the churning frequency of mutual fund portfolios. Furthermore, emotional intelligence, particularly its subconstructs, affects herding bias and overconfidence bias, ultimately impacting the churning frequency of investors. An investor with a higher level of self-motivation is likely to have a disposition effect and herding bias. Investors with disposition impact may be encouraged to reorganize their portfolio if there are any schemes that have been providing negative returns for more than two years or that are not projected to offer significant returns in the future. By understanding how they stack up on each emotional intelligence metric, investors and financial advisors may focus on avoiding the biases that could jeopardize long-term portfolio returns.

Heuristic Availability Bias's Effect on Investment Decisions: Moderating Effect of External Locus of Control

Heuristic Availability Bias's Effect on Investment Decisions: Moderating Effect of External Locus of Control

H2O2-assisted photo-electrocatalytic and photocatalytic degradation of methyl violet by CuO-modified TiO2 nanotube arrays

Photoelectrocatalytic degradation is an environmental friendly and efficient technique providing solutions for the dire issue of water pollution. TiO2 nanotubes are widely used as the photocatalyst but its efficiency is restricted by the wide band gap. This study deals with the fabrication of CuO-modified TiO2 nanotubes by electrochemical anodization following the hydrothermal method to enhance the photocatalytic degradation. Optical studies revealed a reduction in the bandgap (2.12 eV) of CuO-modified TiO2 nanotubes, which plays an important role in increasing the photocatalytic activity. The effect of CuO loading on TiO2 nanotubes in photocatalytic degradation as well as the effect of bias and H2O2 on photo-electrocatalytic degradation were studied. In photocatalytic degradation, 0.05 M CuO–TiO2 photocatalyst produced a maximum degradation of 49.5 % in 8 h. Compared with the pristine TiO2 nanotubes, the photodegradation of CuO-loaded TiO2 nanotubes increased by 16 %. Furthermore, when an external bias was applied, the photodegradation efficiency increased by 36 %. In addition of H2O2 to the PEC system, 0.05 CuO–TiO2 photocatalyst produced 100 % degradation of methyl violet in 2.5 h. Reusability studies showed that the photocatalysts are stable and can therefore be used for practical applications such as photocatalytic degradation and photoelectrochemical degradation of methyl violet.

Ferroelectricity‐Induced Surface Ferromagnetism in Core–Shell Magnetoelectric Nanoparticles

Magnetoelectric nanoparticles (NPs) present an important class of nanomaterials with a wide interest in piezocatalytic and biomedical applications. Herein, the results of magnetoelectric and magnetization measurements performed on core–shell NPs having magnetic core (MnFe2O4, MFO) and ferroelectric shell (Ba0.85Ca0.15Ti0.5Zr0.5O3, BCZT) synthesized by the microwave hydrothermal method are reported. Magnetic results are compared with the measurements on reference MFO NPs prepared under identical conditions. Detailed SQUID magnetometer measurements of the magnetization hysteresis loops M(H) down to 2 K reveal the existence of a clear exchange bias effect in pure MFO NPs attributed to the coexistence of ferromagnetic and antiferromagnetic short‐range interactions. When the magnetic core is covered by the thin ferroelectric BCZT shell, it is observed that 1) the shell suppresses the apparent bias effect and 2) induces an “extra” ferromagnetic magnetization at T < 20 K. The results indicate that this “extra” ferromagnetism has a 2D character and it is most likely related to the interface interactions between the MFO core and BCZT shell. Ferroelectric properties and strong magnetoelectric effect in core–shell NPs are revealed via piezoresponse force microscopy under magnetic field. The mechanisms of the observed effects are discussed.

Comparative study on the magnetic properties of Fe-substituted Co2Sn1−x Fe x O4 spinel oxides and its exchange bias effect

Herein, we report the Fe-substituted Co2Sn1−x Fe x O4 (0 ⩽ x ⩽ 0.4) inverse spinel’s oxide using the solid-state reaction method. X-ray reveals the single-phase cubic structure with space group Fd3m. With increasing Fe in Co2Sn1−x Fe x O4 spinel oxide, the transition temperature rise. The ac susceptibility at different frequencies also confirms a spin-glassy state at lower temperatures. The strong exchange bias effect appears in the sample having Fe substitution (x = 0.2) under the presence of constant temperature ∼10 K. The high-temperature susceptibility of Curie-Wise fitting shows that the system changes from antiferromagnetic exchange (x < 0.2) to ferromagnetic exchange (x > 0.2).

Discovery of 2-Methyl-5-(1H-pyrazol-4-yl)pyridines and Related Heterocycles as Promising M4 mAChR Positive Allosteric Modulators for the Treatment of Neurocognitive Disorders.

The M4 muscarinic acetylcholine receptor (mAChR) is a biological target for neurocognitive disorders. Compound 1 is an ago-PAM for the M4 mAChR. Herein, we report the design, synthesis, and evaluation of novel putative M4 mAChR PAMs based on 1. These analogs were screened and then fully characterized in two functional assays (GoB protein activation and CAMYEL activation) to quantify their allosteric and ago-PAM properties against ACh. A selection of 7 M4 PAMs were assessed for their ability to modulate ACh-mediated β-arrestin recruitment and revealed 4 distinct clusters of M4 PAM activity: (1) analogs similar to 1 (24d), (2) analogs demonstrating only allosteric agonism (23d), (3) analogs with increased allosteric properties in CAMYEL activation (23b/23f and 24a/24b), and (4) analogs with a biased modulatory effect toward β-arrestin recruitment (23i). These novel M4 chemical tools disclose discrete molecular determinants, allowing further interrogation of the therapeutic roles of cAMP and β-arrestin pathways in neurocognitive disorders.

Push-Pull Mechanism of Attention and Emotion in Children with Attention Deficit Hyperactivity Disorder.

Background/Objectives: While deficits in executive attention and alerting systems in children with attention deficit hyperactivity disorder (ADHD) are well-documented, findings regarding orienting attention in ADHD have been inconsistent. The current study investigated the mechanism of attentional orienting in children with ADHD by examining their attentional bias towards threatening stimuli. Furthermore, we explored the modulating role of anxiety levels in ADHD on this attentional bias. Methods: In Experiment 1, 20 children with ADHD and 26 typically developing children (TDC) performed a continuous performance task that included task-irrelevant distractions consisting of angry faces and neutral places. In Experiment 2, 21 children with ADHD and 25 TDC performed the same task, but with angry and neutral faces as distractors. To measure children's anxiety levels, the State-Trait Anxiety Inventory was administered before each experiment. Results: In Experiment 1, results revealed no attentional bias effects in children with ADHD, whereas TDC exhibited attentional capture effects by both types of distractors. However, in Experiment 2, ADHD children demonstrated an attentional bias towards angry faces, which revealed a significant positive correlation with their trait anxiety levels (r = 0.61, p < 0.05). Further analyses combining all ADHD children showed that trait anxiety levels in Experiment 2 were significantly higher than those in Experiment 1. Finally, a significant positive correlation was found between anxiety levels and attentional bias towards angry faces in all ADHD children (r = 0.36, p < 0.01). Conclusions: Children with ADHD exhibited atypical attentional-orienting effects to threats, and their levels of trait anxiety appeared to modulate such attentional-orienting mechanisms.