Subjective Estimates Research Articles

Do Investors Perceive Improvements in Fair Value Accounting for Investment Assets After PCAOB Inspections?

ABSTRACTWe examine whether fair value (FV) deficiencies highlighted in Public Company Accounting Oversight Board (PCAOB) inspection reports improve perceptions of the reporting quality of FV investment assets. Qualitative studies illustrate that subjective and complex estimates pose unique challenges to audit improvement. Using a market‐based measure of financial reporting quality (i.e., implied asset‐specific betas), we find a positive association between the intensity of FV‐deficient reports and perceived reporting quality of level 2 (but not level 3) FV investment assets and show that the association is stronger when audit office FV expertise is high. Consistent with improvements in disclosures, after a FV‐deficient report, we find FV footnotes become relatively more readable and include less cautionary language as level 2 holdings increase. Overall, our evidence suggests investors value PCAOB inspections regarding level 2 FV assets.

Optimal consumption and annuity equivalent wealth with mortality model uncertainty

The classical Yaari (1965) lifecycle model (LCM) stands as a cornerstone in numerous modern retirement studies, especially in understanding the determinants of annuity demand. The LCM predicts a high annuity demand among individuals facing retirement, yet it is rarely the case in reality. This gap between economic theory and empirical reality, commonly referred to as the annuity puzzle, has spurred extensive research endeavors aimed at elucidating its economic and behavioral underpinnings.In this paper, we examine the cause of low annuity demand through the angle of mortality model uncertainty. To this end, we advance Yaari's LCM via integrating a mortality perturbation analysis within a recursive utility framework. Through this approach, we derive the robust optimal consumption strategy and the corresponding annuity equivalent wealth. By utilizing stochastic dominance theory, we establish a series of monotonicity results about the annuity equivalent wealth with respect to ambiguity aversion parameter and other key parameters, such as interest, discount, and mortality rates. Our findings suggest that, among decision-makers with elasticity of intertemporal substitution less than unity, the economic value of an annuity is diminished for those who place greater confidence in their subjective mortality table. In other words, retirees may underestimate the additional utility gained from annuitization if they do not adequately consider the potential uncertainty surrounding their subjective mortality estimates.

An Imprecise Hybrid Reliability Methodology for Rock Structures Considering Spatial Variations of Inputs with Mixed Uncertainties: Theory and Application

Rock properties often contain epistemic uncertainties due to their subjective estimation or insufficient objective data, inhibiting their traditional uncertainty modelling via probability models. This paper proposes a hybrid reliability framework to consider the spatial variations of inputs, modelled via non-stochastic (fuzzy, intervals, p-boxes) and stochastic models based on their information levels. The proposed methodology assigns appropriate uncertainty models for inputs, subsequently generates their interval and random fields in FLAC-2D via a developed MATLAB-FLAC interface code. The random and interval field of inputs are generated via an advanced Karhunen–Loève method, based on their spatial dependency and correlation functions. The methodology is demonstrated for a mining rock slope, with inputs modelled via different uncertainty models to manifest its generalised nature. A comparative analysis is also performed with the traditional random field analysis. Present methodology propagates the input uncertainties invoked by insufficient information faithfully to estimate the intervals/fuzzy/p-boxes of probability of failure (Pf). In contrast, the traditional method estimates a constant Pf by assigning the probability models to the inputs with limited data (based on subjective judgements). Further, the estimated bound of Pf was bounding its point estimate verifying the accuracy of the methodology and enabling the users for more informed decision-making.

The limits of curiosity? New evidence for the roles of metacognitive abilities and curiosity in learning

The current study investigated how metacognitive abilities such as Knowledge Confidence (subjective prior knowledge estimate) and Correctness Confidence (appraisal of the likelihood of closing the gap) relate to curiosity, and examined the roles of these metacognitive measures and curiosity in learning. Using a blurred picture paradigm in which participants viewed blurred pictures and provided their metacognitive and curiosity estimates, the current study identified distinct connections between Knowledge Confidence, Correctness Confidence and curiosity. Our finding suggests that when Knowledge Confidence is at low or medium levels, curiosity is particularly heightened. In contrast, Correctness Confidence linearly influences curiosity such that the higher the Correctness Confidence, the greater the curiosity. We also find that learning is best predicted by a learner’s metacognitive appraisal of their knowledge gap, especially when they are on the verge of knowing, and this learning effect is independent of curiosity. These findings provide new evidence for the role of curiosity and metacognition in learning, highlighting limits of the effect of curiosity on learning.

Impact of a dermatological rehabilitation program on cardiovascular risks of psoriasis patients.

Psoriasis vulgaris is a common chronic inflammatory skin disease, associated with multiple cardiovascular comorbidities, which can ultimately lead to increased mortality. Dermatological rehabilitation programs represent an additional therapeutic option in patients with psoriasis besides the classical outpatient or inpatient management. This study aimed to investigate the impact of dermatological rehabilitation on cardiovascular risk factors, cardiorespiratory fitness and quality of life at the Clinic of Dermatology, Bad Bentheim, Germany. This prospective study included 105 patients (age >18years) with known psoriasis and/or psoriasis (pustulosa) palmoplantaris committing to a 3-week long rehabilitation program. Various patient reported outcomes including dermatological life and quality index, patient global assessment, physical activity, pruritus and smoking and alcohol consumption history were captured. Body mass index (BMI) and physical fitness were also assessed. Study parameters were collected by telephone at baseline, at discharge, and at 3 and 6months. Significant improvements in cardiorespiratory fitness (p<0.001), BMI (p<0.001), quality of life (p<0.001), patients subjective estimation of disease severity (p<0.001) and psoriasis area and severity index (p<0.001) were shown. The findings emphasize the importance of a rehabilitation program for patients with psoriasis due to its positive and sustained effects on cardiovascular risk factors.

Visual simulation and subjective probability estimation: When seeing is believing.

Visual simulation and subjective probability estimation: When seeing is believing.

Development of the compliance with mechanical ventilator scale in: A validity and reliability study.

Mechanical ventilation is a widely used treatment modality in cardiac surgery intensive care units (ICUs), especially for patients requiring respiratory support during postoperative management. The aim of this study was to define the process of developing a scale to assess adherence to mechanical ventilation in cardiac surgery patients and to assess the validity and reliability of the scale. This is a scale development and scale validation study. The study was conducted with 222 patients between April and September 2023. In the first stage, face-to-face interviews were conducted with seven nurses. Based on the literature review and content analysis of the interviews, the researchers created an item pool. In the second stage, the validity and reliability of the Mechanical Ventilator Compliance Scale in cardiac surgery patients were assessed. The scale was developed to be used by nurses working in cardiac surgery ICUs. The first 36-item scale was subjected to content validity assessment by 14 experts. It was revised according to the experts' feedback and a content validity criterion of 0.83 was obtained. Confirmatory factor analysis showed good fit values for the scale (χ2/SD = 3.09, GFI = 0.90, AGFI = 0.90, CFI = 0.91, RMSEA = 0.06, and RMR = 0.07). Test-retest analysis to assess the reliability of the scale showed good agreement between responses over time (ICC: 0.932; p < .001). Cronbach's alpha values for the scale and its subscales, behavioural and physical responses were 0.956, 0.949 and 0.912, respectively. The study findings indicate that the scale is a reliable and valid tool for assessing mechanical ventilator compliance in cardiac surgery patients. This study provides nurses in cardiac surgery intensive care units with a measurement tool to objectively assess patients' compliance with mechanical ventilation therapy. The scale provides more reliable results by preventing subjective judgement and estimation in patient assessment.

Refining submarine groundwater discharge analysis through nonlinear quantile regression of geochemical time series

A reliable quantification of fresh submarine groundwater discharge (SGD) is key to understanding and managing water quality and habitat of coastal ecosystems. However, current radon tracer-based SGD quantifications suffer greatly from uncertainty and subjectivity in tracer signal processing and the indirect estimation of non-SGD related tracer sources and sinks. In this study we provide a new procedure and model SGD rates as upper envelopes in radon and inverted salinity vs. water depth regressions over tidal cycles. We use non-linear quantile regression to model these envelopes and account for signal-lag correction and noise suppression via optimization towards matched radon and inverted salinity envelope data, and a monotonic (i.e., non-oscillating) trend for the water depth. We then quantify the SGD rate based on the temporal change of the modeled radon envelope inventory and define the radon signature of the fresh groundwater endmember (which is critically important for the calculation of volumetric discharge rates) as the zero-salinity intercept in the envelope regression. Our results indicate that the traditional radon mass balance, if applied at a data aggregation interval of < 1 h and if based on a subjective mixing loss estimation, may lead to a substantial overestimate of SGD. This limitation should be carefully considered in the calibration of lager scale, model-based SGD analyses.

A 5-week centrifuge-based G training with feedback on the magnitude of G force does not improve the perception of roll tilt during simulated coordinated turns.

When entering a coordinated flight turn without visual references, the perception of roll-angular displacement is determined by vestibular cues, and/or probably by assessment of the gravitoinertial (G) load (G magnitude) and its translation into the corresponding bank angle. Herein, we examined whether repeated exposures to hypergravity (G training) in a centrifuge, would advance, not only the ability to accurately assess the G load but also the capacity to detect or estimate the corresponding roll inclination of the centrifuge gondola. To this end, in nine men without piloting experience, the subjective estimation of G load and roll tilt were assessed, in complete darkness, during 5-min coordinated turns in the centrifuge, performed at 1.1 G (25° roll-tilt angle) and 2.0 G (60° roll tilt angle). These trials were conducted before and after 5 wk of G training {3 × 40-min sessions·wk-1; protocol: 20 × 1 min at G levels close to the individual relaxed G-level tolerance [range: ∼2.6 G (∼67°)-3.6 G (74°)], separated by 1-min intervals at idle speed (1.4 G)}, whereas continual feedback to the subjects was limited to the G load. As expected, G training improved subjects' capacity to assess G load, especially at 2.0 G (P = 0.006). The perception of roll tilt, however, was consistently underestimated (by ∼70%-80%), and not enhanced by G training (P ≥ 0.51). The present findings demonstrate that prolonged repeated G-induced roll-tilts in a centrifuge gondola, while external feedback is restricted to graviception, enhance the capacity to perceive G load, but fail to advance the ability to detect or consciously estimate the magnitude of roll-angular displacement during a coordinated turn.NEW & NOTEWORTHY During a coordinated flight turn without external visual references, the pilot typically underestimates the aircraft bank angle, because unreliable information of roll tilt is conveyed by the vestibular system. The present results demonstrate that prolonged repeated gravitoinertial (G)-induced roll-tilts in a centrifuge gondola, while external feedback is restricted to graviception, enhance the capacity to perceive G load, but fail to advance the ability to consciously estimate the magnitude of roll angular displacement.

Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals

Pediatric Sleep Apnea–Hypopnea (SAH) presents a significant health challenge, particularly in diagnostic contexts, where conventional Polysomnography (PSG) testing, although effective, can be distressing for children. Addressing this, our research proposes a less invasive method to assess pediatric SAH severity by analyzing blood oxygen saturation (SpO2) signals. We adopted two advanced deep learning architectures, namely ResNet-based and attention-augmented hybrid CNN-BiGRU models, to process SpO2 signals in a one-dimensional (1D) format for Apnea–Hypopnea Index (AHI) estimation in pediatric subjects. Employing the CHAT dataset, which includes 844 SpO2 signals, the data was partitioned into training (60%), testing (30%), and validation (10%) sets. A predefined validation subset was randomly selected to ensure the models' robustness via a threefold cross-validation approach. Comparative analysis revealed that while the ResNet model attained an average accuracy of 72.9% across four SAH severity categories with a kappa score of 0.57, the CNN-BiGRU-Attention model demonstrated superior performance, achieving an average accuracy of 75.95% and a kappa score of 0.63. This distinction underscores our method's efficacy in both estimating AHI and categorizing SAH severity levels with notable precision. Further, to evaluate diagnostic capabilities, the models were benchmarked against common AHI thresholds (1, 5, and 10 events/hour) in each test fold, affirming their effectiveness in identifying pediatric SAH. This study marks a significant advance in the field, offering a non-invasive, child-friendly alternative for pediatric SAH diagnosis. Although challenges persist in accurately estimating AHI, particularly in severe cases, our findings represent a critical stride towards improving diagnostic processes in pediatric SAH.

Happy childhood: the search for an informative system of characteristics through the prism of eventfulness

The results of a study devoted to identifying the potential of using information about childhood events to explain the subsequent perception of childhood as a happy one are presented. Based on the assumption that the specificity of the eventfulness of the very first stage of life can determine the existence of groups with happy and unhappy childhood according to subjective estimates, a selection of childhood events has been made that most allow differentiating those who evaluate their childhood as happy and unhappy. As an empirical basis, the results of a survey of representatives of a youth group who have crossed the age of majority or are on its border are used. Among the 100 initial childhood events for analysis, groups of life episodes were identified, the presence and age of occurrence of which are associated with a retrospective assessment of childhood as happy. These are events related to the manifestation of subjectivity and its recognition by adults; consumer and financial socialization ; establishing relationships with peers and parents; independent movements and mobility; a variety of leisure practices and prosocial behavior; some manifestations of infantilism; the absence or later onset of certain traumatic events, deviant behavior practices, actions to change appearance. The listed groups of life episodes form the basis of an informative system of characteristics of a subjectively prosperous childhood and can be used in the future to implement models of multidimensional analysis.

Development and Validation of an Accurate Creatinine-Based Equation to Estimate Glomerular Filtration Rate for the Adult Indian Population: Design and Methods

Background Existing creatinine-based equations to estimate glomerular filtration rate (GFR), developed primarily in populations of European and African American ancestry, do not accurately reflect the GFR in the Indian population due to differences in body composition, diet, and other factors. This manuscript describes the rationale and methodology for developing a creatinine-based equation for more accurate GFR estimation in Indian subjects. Materials and Methods This cross-sectional study will be conducted in India’s two geographically and demographically diverse locations: Chandigarh (north) and Puducherry (south). Participants will include a representative sample from the general population and subjects with chronic kidney disease (CKD), with the latter being recruited from outpatient clinics. A total of 1558 subjects will be enrolled in the discovery and cross-validation cohort and 620 subjects in the external validation cohort. The reference standard for measured GFR (mGFR) will be the plasma clearance of iohexol. Stepwise multiple regression on log-transformed data will determine a set of variables that jointly predict mGFR and identify factors influencing mGFR and estimated (eGFR) in the study population. This study will also explore the performance of mGFR by iohexol measurement from dried blood spots against mGFR from plasma clearance of iohexol. Conclusion Developing a more reliable and accurate creatinine-based GFR estimating equation will improve CKD diagnosis, classification, and management. The findings will have substantial implications for CKD research in India and other regions with similar populations.

Resolution of Optimal Mitochondrial and Nuclear DNA Enrichment in Target-Panel Sequencing and Physiological Mitochondrial DNA Copy Number Estimation in Liver Cancer and Non-Liver Cancer Subjects.

Mitochondria generate energy to support cells. They are important organelles that engage in key biological pathways. The dysfunction of mitochondria can be linked to hepatocarcinogenesis, which has been actively explored in recent years. To investigate the mitochondrial dysfunction caused by genetic variations, target-panel sequencing is a flexible and promising strategy. However, the copy number of mitochondria generally exceeds nuclear DNA, which raises a concern that uneven target enrichment of mitochondrial DNA (mtDNA) and nuclear DNA (ncDNA) in target-panel sequencing would lead to an undesirably biased representation of them. To resolve this issue, we evaluated the optimal pooling of mtDNA probes and ncDNA probes by a series of dilutions of mtDNA probes in both genomic DNA (gDNA) and cell-free DNA (cfDNA) samples. The evaluation was based on read count, average sequencing depth and coverage of targeted regions. We determined that an mtDNA:ncDNA probe ratio of around 1:10 would offer a good balance of sequencing performance and cost effectiveness. Moreover, we estimated the median physiological mtDNA:ncDNA copy ratio as 38.1 and 2.9 in cfDNA and gDNA samples of non-liver cancer subjects, respectively, whereas they were 20.0 and 2.1 in the liver cancer patients. Taken together, this study revealed the appropriate pooling strategy of mtDNA probes and ncDNA probes in target-panel sequencing and suggested the normal range of physiological variation of the mtDNA:ncDNA copy ratio in non-liver cancer individuals. This can serve as a useful reference for future target-panel sequencing investigations of the mitochondrial genome in liver cancer.

Impact of Periodontal Diseases on Oral Health-Related Quality of Life: A Study with a Condition-Specific Questionnaire in Croatian Population.

The aim of this study was to translate and validate the condition-specific Oral Health Impact Profile (OHIP) in the Croatian cultural context and assess the impact of periodontal diseases and nonsurgical periodontal therapy on quality of life (QoL). A cross-sectional study was carried out on 150 individuals: 50 periodontally healthy, 50 with gingivitis, and 50 with periodontitis who self-administrated the OHIP. The participants' age ranged between 18 and 71 years, with the median age of 45 (34-57) years. Forty-seven percent of the participants were females. The validity and reliability of the Croatian OHIP version were tested. The impact of gingivitis and periodontitis on QoL was assessed. Changes in QoL induced by nonsurgical periodontal therapy in 20 patients with periodontitis were analyzed. Categorical data were presented by absolute and relative frequencies. The normality of the distribution of continuous variables was tested by the Shapiro-Wilk test. Continuous data were described by the median and the limits of the interquartile range (IQR). Differences in continuous variables between two independent groups were tested with the Mann-Whitney U test, and between three groups with the Kruskal-Wallis test (post hoc Conover). The Wilcoxon signed-rank test was used to examine the differences in the total score before and after therapy. All p values were two-sided. The level of significance was set at alpha of 0.05. The analysis detected a single-factor structure that explained for the 56.9% of the variance. Cronbach's alpha value was 0.937, which indicated an excellent internal consistency. Overall OHIP score reported a strong correlation with the subjective estimate of periodontal problems (Rho = 0.92; p < 0.001). Test-retest reliability was high (r = 0.984; p < 0.001). The periodontitis group had the highest OHIP score (28 [23-34]), followed by the gingivitis group (14 [12-20]) and the periodontally healthy group (9 [5-11]; p < 0.001). Nonsurgical periodontal therapy significantly improved the QoL in those with periodontitis (p < 0.001). The condition-specific Croatian version of the OHIP instrument can be considered adequate to measure the impact of periodontal diseases on oral health-related QoL. Periodontal diseases, especially periodontitis, have a negative effect on the patient's QoL. Nonsurgical periodontal treatment can improve patients' QoL.

Educational Intervention Can Improve the Pilot Balloon Palpation Method of Tracheal Tube Cuff Pressure Monitoring: An Experimental Study

Abstract Background: Considerable morbidity is attributable to inappropriate tracheal cuff pressure. An earlier study undertaken in our hospital revealed that a normal cuff pressure of 20–30 cm H2O was achieved in only 6% of intubated patients using subjective estimation methods. Objective: To determine whether a training intervention could improve the accuracy of the subjective estimation method in our tracheal cuff monitoring. Materials and Methods: A 1-day training session was conducted in April 2022 for our anaesthesia providers. The cuffs of different sizes of endotracheal tubes were inflated to 25 cm H2O, and each staff was requested to feel the turgor of the pilot balloon. Subsequently, anaesthesia providers used pilot balloon palpation for the regulation of the tracheal cuff pressure in consecutive patients undergoing general anaesthesia with endotracheal intubation. During each intubation, a manometer was used to crosscheck the inflated cuff pressure objectively. The incidence of post-operative sore throat was also evaluated. The obtained outcomes were compared with pre-intervention data obtained from an earlier study conducted in the health facility from October 2020 to September 2021. Significant differences were considered when P &lt; 0.05. Results: The mean tracheal cuff pressure was improved post-intervention (49.2 ± 24.1 cm H2O versus 77.1 ± 31.1 cm H2O; P &lt; 0.001). A significantly higher proportion of tracheal cuffs (20%; 31/156) were inflated within the normal range compared to 6% (9/141) prior to the intervention (P = 0.003). Fewer patients developed post-operative sore throat following the educational intervention (32.8%; 41/125) versus pre-intervention (47.7%; 53/111; P = 0.019). Conclusion: The educational intervention improved the safety of tracheal cuff management, which could positively impact airway management, especially in poor resource settings without cuff manometers.

Do Personality Traits Predict Mental Well-being in the Context of Erroneous Subjective Estimation of Smartphone Screen Time?: Findings from a Cross-sectional Observational Study Among College Students

Background: The current article reports on the findings from a cross-sectional survey conducted among college students on a subjectively reported and objectively measured smartphone screen time (ST) and its relation to mental well-being. Methods: We explored the magnitude of discrepancy between subjectively reported and objectively measured smartphone ST. Moreover, we assessed the interaction of mental well-being with personality traits among subjects with a discrepancy between the subjectively reported and objectively measured smartphone ST. The mental health of study participants was assessed using the WHO well-being index. Personality was assessed using the Big Five Inventory (BFI)- 10. A total of 202 students shared screenshots of the phone ST function and were included in the analysis. Results: A total of 145 (71.8%) participants underestimated their daily smartphone ST, whereas 56 (27.7%) of them overestimated ST. In the regression analysis, the predicted odds of poor mental well-being were 1.43 times greater for subjects with higher neuroticism scores in the overall sample. Moreover, the predicted odds of poor mental well-being were 1.593 times greater for subjects with higher neuroticism scores among the study subjects who underestimated their ST. Conclusions: The findings of the current study suggested that the magnitude of discrepancy between the subjectively estimated and objectively estimated ST varies across college students, with the discrepancy being significantly higher among those who overestimated their ST. The predicted odds of poor mental well-being were about one and a half times greater for subjects with higher neuroticism scores among college students who underestimated their ST.

Reliability analysis of deep tunnels in spatially varying brittle rocks using interval and random field modelling

Rock properties are estimated using objective lab/in-situ testing and subjective judgements invoking different types of uncertainties, i.e., aleatory, and epistemic, along them, often indicated by varying information levels. This study presents a unified reliability method to integrate the spatial variability of inputs modelled via alternate uncertainty models (intervals and probability-boxes (p-boxes)) with those modelled as stochastic variables via probability distributions. The methodology employs advanced Karhunen–Loève decomposition to generate interval and random fields of inputs modelled via alternate and stochastic models, respectively. Input properties are allocated to the zones of the numerical model in Fast Lagrangian Analysis of Continua-2D (FLAC-2D) based on their spatial dependency and correlation functions through a developed MATLAB-FLAC coupled code. The methodology is demonstrated for a deep tunnel in Canada to be constructed along a massive rock prone to brittle failures. Intact rock properties are modelled as stochastic variables due to objective estimation, while Geological Strength Index (GSI) and deformation modulus are modelled using alternate models (interval and p-box, respectively) due to subjective and hybrid estimation (double uncertainty propagation algorithm). The results of the methodology are compared with those of traditional deterministic and random field methods. The methodology reduces the subjectivity invoked by including unavailable additional information (e.g., assuming probability distributions of inputs based on literature) and propagates the originally available information of inputs accurately. The final outputs are the p-boxes of response parameters (i.e., displacements and damage zone) instead of their fixed values (deterministic analysis) and probability distributions (traditional reliability analysis), indicating the propagation of both impreciseness and variability of inputs by the method. For this case study, the p-boxes of outputs were bounding their values/distributions estimated via traditional analyses, verifying the accuracy of the methodology. Further, the impreciseness in the outputs, highest in the damage zone extent, was due to imprecision in the estimated GSI.

Effect of nystagmus on VEP-based objective visual acuity estimates

In order to determine the effect of nystagmus on objective visual acuity (VA) estimates, we compared subjective (VApsych) and objective (VEP, VAVEP) VA estimates in participants with nystagmus. For this purpose, 20 participants with nystagmus (NY) caused by idiopathic infantile nystagmus, albinism, achiasma or acquired nystagmus were recruited in this study. Estimates of BCVA (best corrected visual acuity) were determined psychophysically (VApsych; FrACT, Freiburg visual acuity test) and electrophysiologically (VAVEP; EP2000) according to ISCEV (International Society of Clinical Electrophysiology of Vision) guidelines. For each participant the eye with the stronger fixation instability [Nidek microperimeter (MP-1), Nidek Instruments] was included for further analysis. VApsych vs VAVEP were compared via paired t-tests and the correlation of the difference between VApsych and VAVEP (∆VA) vs the degree of fixation instability was tested with Pearson correlation (r). We found VAVEP to be better than VApsych [by 0.12 Logarithm of the Minimum Angle of Resolution (logMAR); mean ± standard error (SE) of VAVEP vs VApsych: 0.176 ± 0.06 vs. 0.299 ± 0.06, P = 0.017] and ∆VA to be correlated linearly with the degree of fixation instability (r2 = 0.21,p = 0.048). In conclusion, on average we report a small VA overestimation, around 1 line, for VAVEP compared to VApsych in NY. This overestimation depended on the magnitude of the fixation instability. As a rule of thumb, a reduction of the fixation probability in the central 4° from 100 to 50% leads on average to a VAVEP overestimation of around 0.25 logMAR, i.e. 2.5 lines.

Forecasting the Value of Real Estate Using Machine Learning Tools

Correct valuation of real estate plays a crucial role in the process of buying and selling. We have carefully studied the existing applications with which we carry out real estate transactions, described their features, advantages and disadvantages. The developed model will help sellers get an estimate of their property according to the parameters entered, which can serve as a starting point for establishing the final value. The computation of real estate values has historically been based primarily on the method of analyzing data manually and subjective estimates, often resulting in errors and delays. The use of machine learning algorithms in solving this problem turned out to be effective, since it has a number of advantages over the manual estimation method, namely: a high level of accuracy, elimination of subjectivity and bias in estimates, time efficiency, cost reduction, use of geospatial data and substantiation of results. The process of creating a machine learning model is conditionally decomposed into four stages, which include collecting data, filtering, processing, supplementing, dividing into different samples and training the model based on this data. We considered the most popular regression algorithms, briefly described the principle of their work, as well as metrics with which you can evaluate the quality of the predicted values of the models. Standard parameters were used to test linear regression algorithms, decision tree, nearest neighbor method, support vector method, and random forest. The determination coefficient R-square is chosen as the main metric. Comparing the coefficient of determination of the results, it became clear that the algorithm “random forest” showed the best result. Having manually selected hyper parameters for this algorithm, the average value of the absolute error of the predicted value is 8.49 %, and the median is 1.9 %. The constructed model meets the established quality requirements and is ready for implementation in the information system of forecasting the value of real estate. For buyers, this service will be relevant, since they will be able to search for real estate according to the parameters entered by them, which have a favorable price for the purchase.

Robot remote control using virtual reality headset: studying sense of agency with subjective distance estimates

Mobile robots have many applications in the modern world. The autonomy of robots is increasing, but critical cases like search and rescue missions must involve the possibility of human intervention for ethical reasons and safety. To achieve effective human–robot interaction, the operator needs to have a sense of agency (SoA) over the activities of the robot. One possible way to increase one's SoA in remote control could be the use of VR technology. The remote control situation has some important features, so indicators of SoA need to be reproduced there independently. In our study, participants controlled a mobile robot using either a monitor or a VR-headset as an output device. In both cases, active control was contrasted with passive observation of the robot's movement. In each trial, participants estimated the distance traveled by the robot—a putative implicit indicator of SoA. A significant difference between subjective distance estimates was found in the active and passive conditions with the monitor, but not in the active and passive conditions with VR. The effect obtained in the monitor conditions suggests that distance estimates can be used as an implicit indicator of SoA in robot remote control. We believe that the lack of difference between the active and passive conditions in VR was caused by motion sickness due to a mismatch of visual and vestibular sensory cues, leading to a weakened SoA.