Categories
Nevin Manimala Statistics

The Relationship Between Environmental Statistics and Predictive Gaze Behaviour During a Manual Interception Task: Eye Movements as Active Inference

Comput Brain Behav. 2023 Nov 21;7(2):225-241. doi: 10.1007/s42113-023-00190-5. eCollection 2024 Jun.

ABSTRACT

Human observers are known to frequently act like Bayes-optimal decision-makers. Growing evidence indicates that the deployment of the visual system may similarly be driven by probabilistic mental models of the environment. We tested whether eye movements during a dynamic interception task were indeed optimised according to Bayesian inference principles. Forty-one participants intercepted oncoming balls in a virtual reality racquetball task across five counterbalanced conditions in which the relative probability of the ball’s onset location was manipulated. Analysis of pre-onset gaze positions indicated that eye position tracked the true distribution of onset location, suggesting that the gaze system spontaneously adhered to environmental statistics. Eye movements did not, however, seek to minimise the distance between the target and foveal vision according to an optimal probabilistic model of the world and instead often reflected a ‘best guess’ about onset location. Trial-to-trial changes in gaze position were, however, found to be better explained by Bayesian learning models (hierarchical Gaussian filter) than associative learning models. Additionally, parameters relating to the precision of beliefs and prediction errors extracted from the participant-wise models were related to both task-evoked pupil dilations and variability in gaze positions, providing further evidence that probabilistic context was reflected in spontaneous gaze dynamics.

PMID:42460434 | PMC:PMC13298623 | DOI:10.1007/s42113-023-00190-5

Categories
Nevin Manimala Statistics

Risk of colorectal cancer incidence and mortality after removals of polyps: a cohort study using the UK Biobank

Ann Gastroenterol. 2026 May-Jun;39(3):360-371. doi: 10.20524/aog.2026.1064. Epub 2026 Apr 24.

ABSTRACT

BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer death worldwide, however, the risk of newly-diagnosed CRC and its related mortality after polypectomy have not been conclusively determined.

METHODS: Prospective cases with polypectomy were identified in the UK Biobank. The age- and sex-standardized incidence ratio (SIR) and standardized mortality ratio (SMR) were calculated to assess the risk of CRC between the removal group and both the non-index-colonoscopy group (no record of diagnostic colonoscopy) from the UK Biobank and the general population in England. We also estimated the effect of removal compared with the polyp-free group using a competing risk model.

RESULTS: During a median follow up of 10 (1-44) years (51,136 person-years), 78 incident CRCs (153/100,000 person-years), and 16 CRC-specific deaths (31/100,000 person-years) were identified in the removal group. Compared with the general population in England, the removal group had a similar risk of incident CRC (SIR 0.81, 95% confidence interval [CI] 0.64-1.01; P=0.060), whereas the CRC-specific mortality was 52% lower (SMR 0.48, 95%CI 0.28-0.78; P=0.004). Compared with the non-index-colonoscopy group, CRC-specific deaths after polyp removal were not significantly different (SMR 1.64, 95%CI 0.94-2.66; P=0.050). Compared with the polyp-free group, the risks of incidence and mortality in the removal group were both greater (incidence: adjusted hazard ratio [HR] 6.17, 95%CI 4.36-8.74; P<0.001; mortality: adjusted HR 3.25, 95%CI 1.65-6.41; P<0.001).

CONCLUSION: Polypectomy reduced but not eliminated the risk of CRC for polyp-positive participants to the level of the general population, reinforcing the importance of procedural quality and tailored surveillance strategies.

PMID:42460415 | PMC:PMC13372444 | DOI:10.20524/aog.2026.1064

Categories
Nevin Manimala Statistics

Factorial Validation and Psychometric Properties of Hindi-translated Depression, Anxiety and Stress Scale (DASS-Y) Among Indian Male Adolescent Delinquents

Indian J Psychol Med. 2026 Jul 12:02537176261464362. doi: 10.1177/02537176261464362. Online ahead of print.

ABSTRACT

BACKGROUND: Mental health experts commonly rely on subjective interviews and resource-intensive projective tools to assess adolescent mental health problems. A validated Hindi version of the depression, anxiety, and stress scale for youth-21-item (DASS-Y-21) remains unavailable for the Indian adolescent population.

METHODS: The present study aimed to translate and validate DASS-Y-21 into Hindi among juvenile delinquents in India. The study complied with COnsensus-based Standards for the selection of health measurement instruments and STrengthening the Reporting of OBservational studies in Epidemiology guidelines for reporting findings. This study utilized a cross-sectional design with purposive sampling to study 351 Hindi-speaking male juvenile delinquents within the age range of 10-19 years from two detention centers across Delhi, India. The analysis was conducted in four stages: (a) descriptive statistics, (b) reliability testing, (c) confirmatory factor analysis (CFA), and (d) Rasch analysis.

RESULTS: All recruited participants were males with a mean age of 16.3 (±1.18) years. Descriptive and normality analysis suggested higher variability in the data. The item-rest correlations ranged from moderate to high levels. Item drop test revealed Cronbach’s (α) and McDonald’s (ω) values > 0.90. In CFA, the comparative fit index, Tucker-Lewis index, standardized root mean square residual, and root mean square error of approximation, the model showed good fit. The rating scale method (RSM) had a lower log-likelihood value (-7,989) than the partial credit model (PCM) (-7,870). CFA confirmed the good fit of the 3-factor model of DASS-Y among Indian Hindi-speaking juvenile delinquents. In Rasch analysis, PCM indicated moderate difficulty for the items.

CONCLUSION: The study translated DASS-Y-21 into Hindi and evaluated its psychometric properties among Indian juvenile delinquents. Reliability tests confirm good internal consistency. Both PCM and RSM models demonstrated adequate fit with slight differences in log-likelihood values.

PMID:42460413 | PMC:PMC13368774 | DOI:10.1177/02537176261464362

Categories
Nevin Manimala Statistics

Comparing Activation Typicality and Sparsity in a Deep CNN to Predict Facial Beauty

Comput Brain Behav. 2024 Dec 11;8(2):249-261. doi: 10.1007/s42113-024-00231-7. eCollection 2025 Jun.

ABSTRACT

Processing fluency, which describes the subjective sensation of ease with which information is processed by the sensory systems and the brain, has become one of the most popular explanations of aesthetic appreciation and beauty. Two metrics have recently been proposed to model fluency: the sparsity of neuronal activation, which describes the concentration of activity in a subset of neurons, and the statistical typicality of activations, which describes how well the encoding of a stimulus matches a reference representation of stimuli of the category to which it belongs. Using convolutional neural networks (CNNs) as a model for the human visual system, this study compares the ability of these metrics to explain variation in facial attractiveness. Our findings show that the sparsity of neuronal activations is a more robust predictor of facial attractiveness than statistical typicality. Refining the reference representation to a single ethnicity or gender does not increase the explanatory power of statistical typicality. However, statistical typicality and sparsity predict facial beauty based on different layers of the CNNs, suggesting that they describe different neural mechanisms underlying fluency.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42113-024-00231-7.

PMID:42460408 | PMC:PMC13298650 | DOI:10.1007/s42113-024-00231-7

Categories
Nevin Manimala Statistics

Learning Temporal Relationships Between Symbols with Laplace Neural Manifolds

Comput Brain Behav. 2024 Dec 5;8(2):211-232. doi: 10.1007/s42113-024-00230-8. eCollection 2025 Jun.

ABSTRACT

Firing across populations of neurons in many regions of the mammalian brain maintains a temporal memory, a neural timeline of the recent past. Behavioral results demonstrate that people can both remember the past and anticipate the future over an analogous internal timeline. This paper presents a mathematical framework for building this timeline of the future. We assume that the input to the system is a time series of symbols-sparse tokenized representations of the present-in continuous time. The goal is to record pairwise temporal relationships between symbols over a wide range of time scales. We assume that the brain has access to a temporal memory in the form of the real Laplace transform. Hebbian associations with a diversity of synaptic time scales are formed between the past timeline and the present symbol. The associative memory stores the convolution between the past and the present. Knowing the temporal relationship between the past and the present allows one to infer relationships between the present and the future. With appropriate normalization, this Hebbian associative matrix can store a Laplace successor representation and a Laplace predecessor representation from which measures of temporal contingency can be evaluated. The diversity of synaptic time constants allows for the learning of non-stationary statistics as well as joint statistics between triplets of symbols. This framework synthesizes a number of recent neuroscientific findings including results from dopamine neurons in the mesolimbic forebrain.

PMID:42460404 | PMC:PMC13298686 | DOI:10.1007/s42113-024-00230-8

Categories
Nevin Manimala Statistics

Metabolite coupling analysis and metabolite-flux coupling analysis of genome-scale metabolic models

Front Bioinform. 2026 Jul 1;6:1859473. doi: 10.3389/fbinf.2026.1859473. eCollection 2026.

ABSTRACT

BACKGROUND: Genome-scale metabolic models (GEMs) provide detailed representations of metabolic networks. Flux Coupling Analysis (FCA) is widely used for analyzing dependencies between reaction fluxes in GEMs.

RESULTS: We introduce Metabolite Coupling Analysis (MCA) and Metabolite-flux Coupling Analysis (MetFCA), two methods that extend FCA concepts from reactions to metabolites and metabolite-reaction pairs, enabling the identification of condition-specific modules for omics (e.g., transcriptomics, proteomics, and metabolomics) data analysis.

CONCLUSION: MCA and MetFCA, together with FCA, provide a unified framework for generating condition-specific modules in GEMs. These modules exhibit clearer biological functions than those generated by statistical, data-driven approaches. A case study demonstrates the use of gene modules to analyze transcriptomics data in the influenza-infected Calu-3 cell line.

PMID:42460396 | PMC:PMC13370160 | DOI:10.3389/fbinf.2026.1859473

Categories
Nevin Manimala Statistics

Ideological polarization on anthropogenic climate change is stronger among politicians than among citizens across eight countries

Commun Sustain. 2026;1(1):111. doi: 10.1038/s44458-026-00113-y. Epub 2026 Jul 14.

ABSTRACT

Despite scientific consensus on anthropogenic climate change, political orientation is often associated with climate beliefs, and such polarization may hinder mitigation efforts. Yet, few studies directly compare politicians’ climate beliefs with those of citizens. Here, we used a large cross-national sample of politicians (N = 714) and citizens (N = 18,281) to explore how political orientation predicts climate beliefs and policy support in Australia, Belgium (Flanders and Wallonia), the Czech Republic, Germany, Israel, Luxembourg, the Netherlands, and Norway. Our results show that right-leaning politicians and citizens express weaker beliefs in anthropogenic climate change than left-leaning individuals. Ideological polarization is substantially stronger among politicians. Notably, right-leaning politicians are even less convinced about climate change than their own voters. These ideological divides are reflected in policy preferences: in both groups, belief in anthropogenic climate change statistically mediates the association between political orientation and support for mitigation policies, with markedly stronger mediation among politicians. Together, the results suggest that ideological gaps in climate beliefs, especially among politicians, may contribute to polarization in support for mitigation measures.

PMID:42460384 | PMC:PMC13368580 | DOI:10.1038/s44458-026-00113-y

Categories
Nevin Manimala Statistics

Assessment of faecal calprotectin in neonatal calf diarrhoea using a human ELISA kit: Associations with faecal score and serum biochemical markers

Vet Rec Open. 2026 Jul 15;13(2):e70044. doi: 10.1002/vro2.70044. eCollection 2026 Dec.

ABSTRACT

BACKGROUND: Diarrhoea in newborn calves, which occurs in the first month of life and is caused by various pathogens, poses a significant threat to livestock industries. Therefore, timely diagnosis of enteritis in calves can be advantageous.

OBJECTIVE: This study aimed to determine the efficacy of faecal calprotectin as a biomarker indicating gastrointestinal inflammation and a method to distinguish diarrhoeic calves from healthy calves. Additionally, the applicability of a human enzyme-linked immunosorbent assay (ELISA) kit for measuring faecal calprotectin in bovine samples was evaluated. The relationship between calprotectin and faecal score as an index of diarrhoea severity, and the correlation between calprotectin levels, albumin, albumin-to-globulin ratio (AGR) and serum electrolytes has also been investigated.

METHODS: This study enrolled 34 Holstein neonatal calves, including 12 with diarrhoea and 22 healthy controls. A clinical assessment of faecal consistency was performed, and faecal samples were collected for ELISA measurement of calprotectin. Blood samples were taken to determine serum albumin and globulin concentrations, from which the AGR was calculated. The serum sodium (Na) and potassium (K) concentrations were also measured. Using SPSS (version 21) and appropriate statistical tests, associations between faecal calprotectin, albumin, AGR, Na, K and faecal scores were investigated.

RESULTS: Compared with healthy calves, diarrhoeic calves had higher calprotectin levels and lower AGR levels. The serum K levels in diarrhoeic calves were higher, while the serum Na levels were lower. Faecal calprotectin concentration and serum Na levels were negatively correlated. Calves with faecal score 3, which indicated severe watery diarrhoea, had significantly higher calprotectin levels than those with lower scores.

CONCLUSION: Faecal calprotectin could represent a potential inflammatory biomarker for the diagnosis of neonatal calf diarrhoea, along with serum indicators.

PMID:42460383 | PMC:PMC13371091 | DOI:10.1002/vro2.70044

Categories
Nevin Manimala Statistics

Workplace violence and associated factors among healthcare professionals in public hospitals of Addis Ababa, Ethiopia: a cross-sectional study

BMC Health Serv Res. 2026 Jul 15. doi: 10.1186/s12913-026-15126-5. Online ahead of print.

ABSTRACT

BACKGROUND: Workplace violence has emerged as a global problem that affects all nations, workplaces, and occupational categories. The health sector accounts for more than one-third of all workplace violence worldwide. There is very little information available in Ethiopia about workplace violence affecting healthcare professionals. This study aims to identify key associated factors of workplace violence to inform future evidence-based interventions and policy development. Therefore, the objective of this study was to assess the prevalence of workplace violence and associated factors among healthcare professionals working in selected public hospitals in Addis Ababa, Ethiopia.

METHODS: An analytic cross-sectional study was conducted from May 1 to June 30, 2023, among 599 randomly selected healthcare professionals working at four referral hospitals in Addis Ababa, Ethiopia via a multistage sampling technique. Data was collected via a pretested, structured, self-administered questionnaire adapted from a standard questionnaire. The data were coded and entered into EPI Information version 7 and exported to SPSS V.20.0 software for analysis. A frequency table was used to summarize the data. To identify factors associated with workplace violence, a binary logistic regression model in which the degree of association for variables was assessed via adjusted odds ratios (AORs) with 95% CIs and p values ≤ 0.05 was used.

RESULT: The prevalence of experiencing at least one type of workplace violence (physical, verbal, bullying, or sexual) in the previous year was 59.4% (95% CI = 55.6-63.1). The study revealed a statistically significant relationship between workplace violence and female sex (AOR = 1.56, 95% CI = 1.04-2.34, p = 0.033), pharmacist profession (AOR = 2.9, 95% CI = 1.15-7.33, p = 0.025), routine direct physical contact with patients (AOR = 2.19, 95% CI = 1.12-4.29, p = 0.022), emergency work starting (AOR = 2.50, 95% CI = 1.02-6.15, p = 0.045), and witnessing incidents of physical violence (AOR = 10.1, 95% CI = 5.75-17.59, p < 0.0001).

CONCLUSION: This study revealed a high prevalence of workplace violence among health care professionals working in government hospitals in Addis Ababa, Ethiopia. Healthcare facilities should prioritize the establishment of comprehensive health and safety programs focused on the prevention and management of workplace violence, with particular attention given to the most vulnerable groups.

CLINICAL TRIAL NUMBER: Not applicable.

PMID:42458501 | DOI:10.1186/s12913-026-15126-5

Categories
Nevin Manimala Statistics

Cost-effectiveness analysis of bacterial vaginosis screening strategies in women attempting for natural conception

Cost Eff Resour Alloc. 2026 Jul 15. doi: 10.1186/s12962-026-00798-x. Online ahead of print.

ABSTRACT

OBJECTIVES: Bacterial vaginosis (BV) is associated with reduced fecundability in women. To address the limited accessibility and diagnostic sensitivity of current preconception BV screening in China, this study evaluated the cost-effectiveness of BV Blue, an accessible, self-administered rapid test.

METHODS: A decision tree model was constructed from a societal perspective to compare five screening strategies: No screening, Amsel criteria, BV Blue testing alone, sequential BV Blue-Nugent testing, and Nugent scoring alone. Effectiveness was defined as the number of pregnancies per 100,000 women over one year. Cost-effectiveness was evaluated using incremental cost-effectiveness ratios (ICERs), referenced against a willingness-to-pay (WTP) threshold based on China’s per capita GDP. Sensitivity analyses were conducted to assess model robustness.

RESULTS: In a simulated cohort of 100,000 women, BV Blue testing yielded 842 additional pregnancies compared with no screening (ICER: CNY 2,827 per pregnancy), well below the WTP threshold of CNY 99,665. The sequential and Amsel strategies were absolutely dominated by BV Blue testing. Compared with BV Blue testing, Nugent strategy yielded 171 additional pregnancies (ICER: CNY 198,051 per pregnancy), remaining below the three-fold per capita GDP threshold (CNY 298,995). However, sensitivity analyses indicated that the cost-effectiveness of Nugent strategy was not robust, being highly sensitive to BV Blue testing’s diagnostic sensitivity and pregnancy rates. On the cost-effectiveness acceptability curve, BV Blue testing consistently demonstrated the highest probability of being the optimal strategy.

CONCLUSION: In the preconception period, all screening strategies yielded more pregnancies than no screening. Both BV Blue testing and Nugent scoring were cost-effective, whereas the Amsel and sequential strategies were not. BV Blue testing is a promising screening tool for preconception BV management. These findings may inform the selection of diagnostic pathways in China’s national preconception screening program.

PMID:42458496 | DOI:10.1186/s12962-026-00798-x