Greater Bias Research Articles

A Cross-Cultural Investigation of Prejudice Against Transgender People

The current research offers a cross-cultural examination of transgender prejudice, with a particular focus on the role of gender. Analyses of a survey conducted in 23 countries (with N’s ranging from 485 to 1,098) representing both Western and non-Western societies showed that there is greater bias toward transgender women (vs. men) overall, among both male and female participants. These differences were small and not reliable in most Western countries, whereas participants in China, Russia, South Korea, and Türkiye made greater distinctions. Men (vs. women) and conservatives reported higher prejudice, and this was more pronounced in Western (vs. non-Western) countries. Religiosity was associated with anti-transgender prejudice in Western (but not non-Western) countries, but this was completely accounted for by anti-gay attitudes. Finally, anti-gay and anti-transgender prejudice were strongly related to each other across samples, and the denial of gender identity predicted anti-transgender prejudice over and above anti-gay prejudice.

Jewish Americans’ identity salience and effects on attitudes toward diversity

Although Jewish people in the US are often racialized (i.e., perceived by others) as White, Jewish Americans vary in the extent to which they consider themselves White, and in how strongly they identify with being Jewish. Based on prior findings that identifying with a White ethnic subgroup (e.g., Irish, Italian) can reduce prejudice toward racial and ethnic minorities, we predicted that strongly identified Jewish Americans would exhibit less intergroup bias than weakly identified Jewish Americans. For the present research, we recruited participants whose religious affiliation was Jewish but who self-identified as racially White. In a preregistered correlational study, Jewish identification was associated with lower bias, whereas White identification was associated with greater bias, toward Whites relative to racial/ethnic minorities. The relationship between Jewish identification and intergroup bias was accounted for by high Jewish identifiers’ perceptions that they could personally contribute to diversity in groups and organizations. Across three meta-analyzed experiments, participants whose religious minority (Jewish) identity was made salient exhibited less intergroup bias than did control participants, and in one preregistered experiment, perceived personal contributions to diversity mediated the effect of condition on intergroup bias. Implications for the forms of ethnic identity that predict more versus less intergroup bias in an increasingly multicultural society are discussed.

An investigation of the neural basis of anger attributions in irritable youth.

Neurocognitive models of pediatric irritability suggest a prominent role of anger; however, few studies have investigated anger-related biases and their neural correlates. Resting state functional connectivity (rsFC) of the amygdala was examined in relation to anger attribution bias (AAB) in a sample of young children (5-9 years old; N = 60; 55% White, 26.7% Hispanic) with clinically significant irritability characterized by impairing emotional outbursts (IEOs). Children completed a resting state functional magnetic resonance imaging scan as well as the assessment of children's emotional skills (ACES), which yields three measures of AAB in the context of social situations, social behaviors, and facial expressions. ACES scores were entered into a general linear model to examine associations with rsFC of the bilateral amygdalae. Children with IEOs exhibited significant biases in attributing anger to others across all three ACES domains. Greater biases toward attributing anger in social situations were associated with reduced rsFC of the bilateral amygdalae with the fusiform/lingual gyri and lateral occipital cortex. Alternatively, greater biases toward attributing anger to facial expressions positively predicted right amygdala-precuneus rsFC. Greater bias toward attributing anger to others based on their behaviors was associated with heightened rsFC of the right amygdala with the left middle frontal gyrus. Findings extend previous work implicating functional connections among regions of default mode and frontoparietal networks in pediatric irritability. Longitudinal studies are needed to further investigate the putative role of AAB in the etiology and long-term outcomes of pediatric irritability. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast.

Tricuspid valve flow velocities are challenging to measure with cardiovascular MR, as the rapidly moving valvular plane prohibits direct flow evaluation, but they are vitally important to diastolic function evaluation. We developed an automated valve-tracking 2D method for measuring flow through the dynamic tricuspid valve. Nine healthy subjects and 2 patients were imaged. The approach uses a previously trained deep learning network, TVnet, to automatically track the tricuspid valve plane from long-axis cine images. Subsequently, the tracking information is used to acquire 2D phase contrast (PC) with a dynamic (moving) acquisition plane that tracks the valve. Direct diastolic net flows evaluated from the dynamic PC sequence were compared with flows from 2D-PC scans acquired in a static slice localized at the end-systolic valve position, and also ventricular stroke volumes (SVs) using both planimetry and 2D PC of the great vessels. The mean tricuspid valve systolic excursion was 17.8 ± 2.5 mm. The 2D valve-tracking PC net diastolic flow showed excellent correlation with SV by right-ventricle planimetry (bias ± 1.96 SD = -0.2 ± 10.4 mL, intraclass correlation coefficient [ICC] = 0.92) and aortic PC (-1.0 ± 13.8 mL, ICC = 0.87). In comparison, static tricuspid valve 2D PC also showed a strong correlation but had greater bias (p = 0.01) versus the right-ventricle SV (10.6 ± 16.1 mL, ICC = 0.61). In most (8 of 9) healthy subjects, trace regurgitation was measured at begin-systole. In one patient, valve-tracking PC displayed a high-velocity jet (380 cm/s) with maximal velocity agreeing with echocardiography. Automated valve-tracking 2D PC is a feasible route toward evaluation of tricuspid regurgitant velocities, potentially solving a major clinical challenge.

Perspective judgment across adulthood: Evidence from bilinguals.

Judging the perspective of others often requires ignoring one's own accessible knowledge. Aging increases reliance on the most available knowledge and may decrease the adjustment of this knowledge to adopt another perspective. Using a dominant language also decreases control demands, while using a nondominant language promotes deliberation. We examined whether aging and language dominance shape the way in which individuals judge someone else's interpretation of ambiguous messages. Russian-Hebrew bilinguals (N = 237, ages 19-80) read 20 ambiguous messages and judged how a recipient would interpret them. Half of the texts contained information that suggested that the message was sincere, and half of the texts contained information that implied that the message was sarcastic. This information was available only to the participant and should not have affected the recipient's interpretation. An egocentric bias emerged in both languages since participants could not ignore their own knowledge when judging the recipient's perspective. Aging was associated with a greater bias, but the results were similar in both languages. A second study included 60 younger (ages 18-39) and 62 older (ages 60-80) Israeli-born participants, who performed the same task as well as a flanker task (i.e., judging the direction of a central arrow flanked by congruent and incongruent distractors). Age interacted with the egocentric bias, but there was no correlation between the flanker effect and perspective judgment. Thus, decreased inhibition, as measured by the flanker task, cannot account for the egocentric bias. We suggest that the findings reflect difficulty in overriding highly accessible information, especially in older age. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China

Abstract. Volatile organic compounds (VOCs) play a crucial role in the formation of tropospheric ozone (O3) and secondary organic aerosols. VOC emissions are generally considered to have larger uncertainties compared to other pollutants, such as sulfur dioxide and fine particulate matter (PM2.5). Although predictions of O3 and PM2.5 have been extensively evaluated in air quality modeling studies, there has been limited reporting on the evaluation of VOCs, mainly due to a lack of routine VOC measurements at multiple sites. In this study, we utilized VOC measurements from the “Towards an Air Toxic Management System in China” (ATMSYC) project at 28 sites across China and assessed the predicted VOC concentrations using the Community Multiscale Air Quality (CMAQ) model with the widely used Multi-resolution Emission Inventory for China (MEIC). The ratio of predicted to observed total VOCs was found to be 0.74 ± 0.40, with underpredictions ranging from 2.05 to 50.61 ppbv (5.77 % to 85.40 %) at 24 sites. A greater bias in VOC predictions was observed in industrial cities in the north and southwest, such as Jinan, Shijiazhuang, Lanzhou, Chengdu, and Guiyang. In terms of different VOC components, alkanes, alkenes, non-naphthalene aromatics (ARO2MN), alkynes, and formaldehyde (HCHO) had prediction-to-observation ratios of 0.53 ± 0.38, 0.51 ± 0.48, 0.31 ± 0.38, 0.41 ± 0.47, and 1.21 ± 1.61, respectively. Sensitivity experiments were conducted to assess the impact of the VOC prediction bias on O3 predictions. While emission adjustments improved the model performance for VOCs, resulting in a change in the ratio of total VOCs to 0.86 ± 0.47, they also exacerbated O3 overprediction relative to the base case by 0.62 % to 6.27 % across the sites. This study demonstrates that current modeling setups and emission inventories are likely to underpredict VOC concentrations, and this underprediction of VOCs contributes to lower O3 predictions in China.

The role of interpersonal coordination dynamics in alliance rupture and repair processes in psychotherapy-A systematic review.

The purpose of this systematic review is to expand our knowledge of the underlying mechanisms of the alliance in psychotherapy. This is done by examining the association between alliance rupture and repair processes and interpersonal coordination dynamics. A systematic review based on PRISMA guidelines was conducted, aimed at papers investigating the association between alliance rupture and repair episodes and different behavioral modalities (i.e., physiology, movement) in the psychotherapeutic interaction. Seventeen studies were included for full text-analysis. The results indicate that rupture and repair episodes were associated with interpersonal coordination dynamics. Different modalities (movement, heart rate, and vocalization) were found to serve as markers for alliance rupture and repair events. Facial expressions, physiological arousal, vocalization, and behavior were found to play important roles in the therapeutic interaction in relation to mutual emotion regulation, empathic response, safety, trust, and meaning-making. Limitations of this review are discussed, including the great methodological variation and selection bias observed in the reviewed studies. Recommendations for future research in this area are presented. Overall, interpersonal coordination dynamics was found to have the potential to help identify and manage alliance ruptures and foster repairs in the therapeutic interaction, which has high potential for future clinical work and training.

Solution-processed bilayer InGaZnO/In2O3 thin film transistors at low temperature by lightwave annealing

At low temperatures about 230 °C, bilayer InGaZnO/In2O3 thin film transistors (TFTs) were prepared by a solution process with lightwave annealing. The InGaZnO/In2O3 bilayer TFTs with SiO2 as dielectric layer show high electrical performances, such as a mobility of 7.63 cm2V−1s−1, a threshold voltage (V th) of 3.8 V, and an on/off ratio higher than 107, which are superior to single-layer InGaZnO TFTs or In2O3 TFTs. Moreover, bilayer InGaZnO/In2O3 TFTs demonstrated a great bias stability enhancement due to the introduction of top InGaZnO film act as a passivation layer, which could prevent the interaction of ambient air with the bottom In2O3 layer. By using high dielectric constant AlO x film, the InGaZnO/In2O3 TFTs exhibit an improved mobility of 47.7 cm2V−1s−1. The excellent electrical performance of the solution-based InGaZnO/In2O3 TFTs shows great application potential for low-cost flexible printed electronics.

Influence of chest wall conformation on reproducibility of main echocardiographic indices of left ventricular systolic function.

The possible influence of chest wall conformation, as noninvasively assessed by Modified Haller Index (MHI, the ratio of chest transverse diameter over the distance between sternum and spine), on reproducibility of both left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) has never been previously investigated. Two equal groups of healthy individuals, matched by age, sex, and cardiovascular risk factors and categorized according to MHI in those with concave-shaped chest wall (MHI>2.5) and those with normal chest shape (MHI≤2.5), who underwent transthoracic echocardiography implemented with echocardiographic deformation imaging between June 2018 and May 2019, were retrospectively analyzed. LVEF and GLS were measured twice by the two echocardiographers in a double blinded manner. Intra-class correlation coefficients (ICCs), bias and limits of agreement determined with Bland-Altman analysis were calculated for repeated measurements of both LVEF and GLS. Thirty-four healthy individuals with MHI>2.5 (54.9±6.4 years, 58.8% females) and 34 matched controls with MHI≤2.5 (52.5±8.1 years, 50% females) were separately analyzed. In comparison to MHI≤2.5 group, the MHI>2.5 group was found with significantly smaller cardiac chambers and significantly lower GLS magnitude (-15.8±2.5 vs. -22.2±1.3%, P<0.001), despite similar LVEF (61.3±6.4 vs. 61.1±3.6%, P=0.87). In the MHI>2.5 group, intra-rater and inter-rater ICCs were ≤0.5 for both LVEF and LV-GLS, whereas in the MHI≤2.5 group intra-rater and inter-rater ICCs values indicated good reliability for LVEF and excellent reliability for GLS. The greatest bias and largest limits of agreement were detected for LVEF assessment (bias ranging from -1.09 to 2.94%, with the 95% limits of agreement ranging from -13.9 to 21.3%) in individuals with MHI>2.5. On the other hand, the smallest bias and narrowest limits of agreement were obtained for GLS measurement (bias ranging from -0.26 to 0.09%, with the 95% limits of agreement ranging from -1.4 to 1.4%) in participants with normal chest wall conformation (MHI≤2.5). The test reliability of LVEF and GLS is strongly influenced by the chest wall conformation. MHI might represent an innovative approach for selecting the best echocardiographic method for LV systolic function estimation in the individual case.

Inflammatory breast cancer (IBC) advocacy-Past, present and future!

Patient advocates, referring to those individuals that have been diagnosed with the disease for which they advocate, are essential stake holders in healthcare. For those facing the stages of being diagnosed with Inflammatory Breast Cancer (IBC), the "call to advocate" is an immediate response to being diagnosed with a rare and aggressive disease that progresses rapidly, often in a matter of weeks or months. There is a great stigma and bias in the medical community that has inhibited the education and study of IBC. A lack of understanding of the disease, how it presents and how to treat it leaves many IBC patients facing misdiagnosis. Communication is a cornerstone of healthcare; this goes beyond the patient-provider dynamic. Education of IBC must be a grassroots initiative. There should be no barrier to care in the diagnosis, treatment, study and survivorship of inflammatory Breast Cancer. It is not just an oncologist's lesson to learn, but that of all providers in healthcare. In this chapter you will hear how 4 women who were diagnosed with IBC faced the difficult tasks of navigating through the healthcare system on their own and came out on the other side using their experience to help others. In conclusion, in defining the evolving roles of Patient Advocacy in IBC over the past 25 years, we examine what has been done, along with its challenges, and what work still remains from the perspectives of different patient advocates.

Inter-tree correlation and climatic response of tree-ring δ18O in Chinese fir: Implications for cross-dating and climatic reconstruction in Central East China

The availability of both ancient and modern wood samples enables the Chinese fir (Cunninghamia lanceolata) in Central East China to become a potential tree species for dendroclimatic reconstruction over the Common Era. However, the potential of using tree-ring α-cellulose oxygen isotope ratios (δ18OTRC) in Chinese fir for the purposes of cross-dating and climatic reconstruction remains unexplored. Here we presented three δ18OTRC chronologies (1954–2006 CE) for the whole-ring (δ18OWR), earlywood (δ18OEW), and latewood (δ18OLW) in Chinese fir. The results indicated that the δ18OWR had the highest correlation among individual trees. Using the δ18OWR instead of the conventionally employed TRW can facilitate the cross-dating procedure. The δ18OWR, δ18OEW, and δ18OLW exhibited the strongest relationships with the hydroclimate variables during the entire (June–September), early (June–July), and late (August–September) summer, respectively. The climate conditions preceding the growing season had a stronger influence on δ18OEW than δ18OLW. Using the δ18OWR and δ18OEW to reconstruct the hydroclimate variations may result in greater bias than the use of δ18OLW. Our study demonstrated that the δ18OTRC in Chinese fir from Central East China has the potential for cross-dating and summer hydroclimate reconstruction.

US states' racial bias correlates with less SNAP participation by “undeserving poor” adults and lower unemployment benefit maximums

AbstractThe present study assessed whether Whites' anti‐African American bias correlates with states placing greater emphasis on work incentives in two government assistance programs. The study regressed the representation of “able‐bodied adults without dependents” in Supplemental Nutrition Assistance Programs (SNAP, also known as food stamps) and maximum unemployment benefits on White residents' implicit and explicit bias, while controlling for key economic and sociopolitical covariates. Findings indicate that states with greater bias had proportionally fewer SNAP‐designated “Able‐Bodied Adults Without Dependents” and states with greater implicit and explicit bias had lower unemployment benefit maximums. Due to Whites' anti‐African American bias, persons of all races and ethnicities who otherwise might benefit from public assistance are exposed to food insecurity and lesser financial support when unemployed.

Species with larger vessel area have higher bias for the original Granier equation in calculating sap flux density

Accurate estimate of transpiration is crucial to understanding global water and carbon cycles. The thermal dissipation (TD) method with Granier’s equation, which is the most popular approach to measure whole-tree water use, requires species-specific calibration parameters to calculate transpiration. Calibrations require direct measurement of water uptake, often through gravimetric or potometric methods; therefore, it is often disregarded because of limited time and resources. It remains unclear which factor influences the variation of calibration parameters. In this study, we compiled published calibration experiments to elucidate the factors that could influence the variation in coefficients and attempted to predict the correction parameter. The results showed that: (1) only 14 % of the experiments provided accurate sap flux density estimates using the default parameter values in the Granier’s equation, and sap flux was underestimated to varying degrees in 72% of the experiments; (2) the regression slope of TD-measured and the actual sap flow with the y-axis intercept set to zero (hereinafter referred to as “Slope”) was significantly correlated to the mean vessel area (VA), i.e., species with larger VA consistently had higher Slope and greater bias. Stem diameter also had a positive influence on the Slope after accounting for covariation with the VA. Finally, a multiple linear regression model based on these two characteristics (VA and stem diameter) explained 89% of the variation of Slope. This study provides a simple calibration procedure for the users of TD-sensors with a linear correction model based on easily measurable vessel area and stem diameter. It may also provide a new development avenue for sensor manufacturers or others to improve the TD method to reduce its sensitivity to wood characteristics – or provide some “out-of-the-box” correction factors across a range of wood characteristics.

Oxygen uptake efficiency slope measured by cardiopulmonary exercise testing: applicability analysis of the available prediction equations in a Brazilian healthy sample

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). Background Oxygen uptake efficiency slope (OUES) measured by cardiopulmonary exercise testing (CPET) is a measure derived from submaximal oxygen uptake values and has prognostic significance in heart failure patients. Measured values are compared to reference standards for an adequate individual assessment. However, current reference values prediction equations have applicability limitations due to differences in ergometer and sample characteristics (age range and nationatilies), which may impact external validation, as international heterogeneities in peak oxygen uptake values have already been demonstrated by Milani et al. and Peterman et al. Purpose To analyze the applicability of the available prediction equations for OUES in a healthy Brazilian sample from the Midwest region. Methods Cross-sectional study of subjects assessed by treadmill CPET in the Brazilian Midwest region between January/2011 to March/2020. The inclusion criteria were CPET performed on a treadmill in healthy subjects aged 20 years or older, and with respiratory exchange ratio ≥ 1.0. The exclusion criteria were any history of cardiovascular or pulmonary disease, presence of cardiovascular risk factors (such as hypertension, diabetes mellitus, current smoking, and obesity) and abnormalities on CPET. The following available prediction equations were used for comparisons with the measured OUES: 1) Buys et al. from Belgium/Netherlands; 2) Hollemberg et al. from United States; 3) Sun et al. from United States; 4) Brazilian prediction equations calculated in our same sample using sex, age and anthropometric variables. Statistical comparisons between measured and predicted OUES were performed using Spearman correlation test and Bland-Altman agreement analysis. Results During the study period, 7,843 CPETs were performed and included for eligibility. After applying the inclusion and exclusion criteria, 3,544 assessments of healthy individuals were included (1,574 women; 1,970 men; age 20 to 80 years). All correlations between measured and predicted values were significant, with rho ranging from 0.325 to 0.396 in females and from 0.391 to 0.450 in males (Figure 1). The mean errors by the Bland-Altman agreement analysis were heterogeneous between the OUES predition equations, with better results in our Brazilian equation. Greater bias were observed in the equation by Sun et al. for both sexes, in the equation from Buys et al. for females and in the equation by Hollemberg et al. for males (Figure 2). Conclusions The applicability analysis of the international prediction equations for OUES revealed great heterogeneity, limiting the external validation of the available equations, and highlighting the importance of using country-specific reference values for OUES to ensure a correct individual evaluation.

Controversial Impact of Vitamin D Supplementation on Reducing Insulin Resistance and Prevention of Type 2 Diabetes in Patients with Prediabetes: A Systematic Review.

Prediabetes has become a worldwide health problem. Multiple clinical trials have been conducted to determine the potential benefits of vitamin D supplementation in preventing the conversion to diabetes, but the results are inconsistent. The aims of this study were to evaluate the current knowledge and to suggest recommendations for researchers on designing future trials regarding that matter. Four databases were searched for randomized control trials from the last 10 years about vitamin D and insulin resistance. The systematic electronic literature search identified 2645 studies, of which thirty-eight qualified for full-text reading and discussion. Finally, eight trials were included. Final results of seven trials reported that supplementation of vitamin D does not reduce insulin resistance nor reduces the risk of diabetes mellitus type 2 development in prediabetes. Only one trial showed improvements in fasting glucose and HOMA-IR. Due to the great variation and biases in study designs, an unambiguous interpretation of the results is not possible. To eliminate those vulnerabilities in the future, we made certain suggestions for study design. Long-term and well-designed studies are still required.

Attentional bias during acute grief predicts clinical outcome in suicide-related bereavement

BackgroundIndividuals who have lost a loved one to suicide are at increased risk for developing complicated grief (CG). It is unclear why only a subgroup of bereaved develops pathological forms of grief. Vulnerability may be related to the ability to regulate attention toward reminders of the deceased during the acute phase of grief. Using a longitudinal design, we determined whether loss-related attentional bias during acute grief predicts grief severity one year later. MethodsThirty-seven participants grieving a first-degree relative or partner to suicide in the prior 6 months performed an emotional Stroop task using words related to the deceased, a living attachment figure, living non-attachment figure, and color congruent Stroop to quantify related attentional bias during the acute grief period. Clinical interviews were conducted at baseline (N = 37) and one year later (N = 35). ResultsParticipants showed greater attentional bias to deceased-related word trials compared with living attachment, non-attachment, and congruent trials, controlling for age, time since loss, depression, and psychiatric medication. A greater reduction in grief severity over time was associated with more deceased-related attentional bias at baseline. Self-reported grief avoidance was related to deceased-related attentional bias, with lower avoidance scores associated with greater bias. LimitationsLack of non-suicide grief control and small sample size. ConclusionsLess deceased-related bias following the loss may hinder the transition from acute to integrated grief and result in poorer grief trajectories.

Selection Bias in Real-World Data Studies Used to Support Health Technology Assessments: A Case Study in Metastatic Cancer.

Real-world evidence has been increasingly used to support evaluations of emerging therapies. These investigations are often conducted in settings that may not be representative of the underlying population. The purpose of this investigation was to empirically quantify the magnitude of this selection bias. Individuals diagnosed with solid metastatic cancer in Alberta, Canada, between 2010-2019 were identified using the provincial cancer registry for 13 common metastatic sites. Two outcomes used to support oncology reimbursement decisions were examined: the proportion of individuals who initiated systemic therapy and median overall survival (OS). These outcomes were assessed in the entire population and in a subset of individuals who were referred to a medical oncologist. Among the 23,152 individuals in the entire population, 40.8% (95% CI: 40.2-41.4) initiated systemic therapy, and the median OS from diagnosis was 5.4 months (95% CI: 5.3-5.6). Among those who were referred to a medical oncologist (n = 13,372; 57.8%), 67.4% (95% CI: 66.6-68.2) initiated systemic therapy, and the median OS from diagnosis was 11.2 months (95% CI: 10.9-11.5). The magnitude of bias varied by cancer site where lower referral rates were associated with greater bias. Non-referral is an important source of selection bias in real-world investigations. Studies that rely on limited-catchment real-world data should be interpreted with caution, particularly in metastatic cancer settings.

Implementing Vancomycin Population Pharmacokinetic Models: An App for Individualized Antibiotic Therapy in Critically Ill Patients.

In individualized therapy, the Bayesian approach integrated with population pharmacokinetic models (PopPK) for predictions together with therapeutic drug monitoring (TDM) to maintain adequate objectives is useful to maximize the efficacy and minimize the probability of toxicity of vancomycin in critically ill patients. Although there are limitations to implementation, model-informed precision dosing (MIPD) is an approach to integrate these elements, which has the potential to optimize the TDM process and maximize the success of antibacterial therapy. The objective of this work was to present an app for individualized therapy and perform a validation of the implemented vancomycin PopPK models. A pragmatic approach was used for selecting the models of Llopis, Goti and Revilla for developing a Shiny app with R. Through ordinary differential equation (ODE)-based mixed effects models from the mlxR package, the app simulates the concentrations' behavior, estimates whether the model was simulated without variability and predicts whether the model was simulated with variability. Moreover, we evaluated the predictive performance with retrospective trough concentration data from patients admitted to the adult critical care unit. Although there were no significant differences in the performance of the estimates, the Llopis model showed better accuracy (mean 80.88%; SD 46.5%); however, it had greater bias (mean -34.47%, SD 63.38%) compared to the Revilla et al. (mean 10.61%, SD 66.37%) and Goti et al. (mean of 13.54%, SD 64.93%) models. With respect to the RMSE (root mean square error), the Llopis (mean of 10.69 mg/L, SD 12.23 mg/L) and Revilla models (mean of 10.65 mg/L, SD 12.81 mg/L) were comparable, and the lowest RMSE was found in the Goti model (mean 9.06 mg/L, SD 9 mg/L). Regarding the predictions, this behavior did not change, and the results varied relatively little. Although our results are satisfactory, the predictive performance in recent studies with vancomycin is heterogeneous, and although these three models have proven to be useful for clinical application, further research and adaptation of PopPK models is required, as well as implementation in the clinical practice of MIPD and TDM in real time.

Developmental changes in audiotactile event perception

The fission and fusion illusions provide measures of multisensory integration. The sound-induced tap fission illusion occurs when a tap is paired with two distractor sounds, resulting in the perception of two taps; the sound-induced tap fusion illusion occurs when two taps are paired with a single sound, resulting in the perception of a single tap. Using these illusions, we measured integration in three groups of children (9-, 11-, and 13-year-olds) and compared them with a group of adults. Based on accuracy, we derived a measure of magnitude of illusion and used a signal detection analysis to estimate perceptual discriminability and decisional criterion. All age groups showed a significant fission illusion, whereas only the three groups of children showed a significant fusion illusion. When compared with adults, the 9-year-olds showed larger fission and fusion illusions (i.e., reduced discriminability and greater bias), whereas the 11-year-olds were adult-like for fission but showed some differences for fusion: significantly worse discriminability and marginally greater magnitude and criterion. The 13-year-olds were adult-like on all measures. Based on the pattern of data, we speculate that the developmental trajectories for fission and fusion differ. We discuss these developmental results in the context of three non-mutually exclusive theoretical frameworks: sensory dominance, maximum likelihood estimation, and causal inference.

Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots

Atmospheric fine particles (PM2.5) have been found to be harmful to the environment and human health. Recently, remote sensing technology and machine learning models have been used to monitor PM2.5 concentrations. Partial dependence plots (PDP) were used to explore the meteorology mechanisms between predictor variables and PM2.5 concentration in the “black box” models. However, there are two key shortcomings in the original PDP. (1) it calculates the marginal effect of feature(s) on the predicted outcome of a machine learning model, therefore some local effects might be hidden. (2) it requires that the feature(s) for which the partial dependence is computed are not correlated with other features, otherwise the estimated feature effect has a great bias. In this study, the original PDP’s shortcomings were analyzed. Results show the contradictory correlation between the temperature and the PM2.5 concentration that can be given by the original PDP. Furthermore, the spatiotemporal heterogeneity of PM2.5-AOD relationship cannot be displayed well by the original PDP. The drawbacks of the original PDP make it unsuitable for exploring large-area feature effects. To resolve the above issue, multi-way PDP is recommended, which can characterize how the PM2.5 concentrations changed with the temporal and spatial variations of major meteorological factors in China.