Inference of a three-gene network underpinning epidermal stem cell development in Caenorhabditis elegans by Alicja Brożek, Arianna Ceccarelli, Andreas Christ Sølvsten Jørgensen, Mark Hintze, Vahid Shahrezaei, Michalis Barkoulas

“…Here, we integrate experimental data, mathematical modeling, and statistical inference to investigate this network, focusing on three core transcription factors (TFs), namely ELT-1, EGL-18, and CEH-16. …”
Get full text

Single-cell data reveal heterogeneity of investment in ribosomes across a bacterial population by Antrea Pavlou, Eugenio Cinquemani, Corinne Pinel, Nils Giordano, Van Melle-Gateau Mathilde, Irina Mihalcescu, Johannes Geiselmann, Hidde de Jong

“…We therefore extended the study of ribosomal resource allocation from populations to single cells, using a combination of time-lapse fluorescence microscopy and statistical inference. We found a large variability of ribosome concentrations and growth rates in conditions of balanced growth of the model bacterium Escherichia coli in a given medium, which cannot be accounted for by the population-level growth law. …”
Get full text

Human Trajectory Imputation Model: A Hybrid Deep Learning Approach for Pedestrian Trajectory Imputation by Deb Kanti Barua, Mithun Halder, Shayanta Shopnil, Md. Motaharul Islam

“…Previous attempts to address this issue, such as statistical inference and machine learning approaches, have shown promise. …”
Get full text

Role of denoisers in simulation-based inference from graph-structured data: a case study for position inference in an astroparticle detector by Venkat Roy, Aaron Higuera, Shixiao Liang, Christina Peters, Waheed U. Bajwa, Christopher D. Tunnell

“…Abstract The focus of this paper is to improve simulation-based inference through improved denoising of experimental data. Statistical inference of parameters governing a complex physical process from observed data is an important task for several scientific domains. …”
Get full text

Dietary supplementation with Jasminum sambac leaf powder: Effects on growth, hematology, and immune parameters in broiler chickens by Iram Maqsood, Samreen Sareer, Shafique Ur Rehman, Ayesha Hidayat, Madeeha Shah, Saira Awaz, Rong Ke

“…One-way ANOVA was used to determine statistical inference among groups. Feeding JSLP resulted in a significant increase in body weight (BW), body weight gain (BWG), and feed intake (P<0.05), while faecal coliforms were significantly reduced (P<0.01). …”
Get full text

Long-term monitoring of plant diversity data in the “Montagna di Torricchio” Strict Nature Reserve, Italyb2share - EUDAT by Marco Cervellini, Leonardo Salvatori, Stefano Chelli, Federico Maria Tardella, Alessandro Chiarucci, James L. Tsakalos, Giandiego Campetella, Maura Francioni, Luciano Ludovico Maria De Benedictis, Roberto Canullo

“…This dataset allows for the study of plant diversity changes over space and time across different habitat types by using statistical inference based on solid sampling theory.…”
Get full text

Prevalence, predictors and selected outcomes of early sexual initiation among adolescents in secondary schools in Lugbe, Abuja, Nigeria: a mixed methods study by Uchechi Grace Okonta

“…Descriptive and inferential statistical analysis was done including a binary logistic regression to determine the predictive factors and outcomes of early sexual initiation with statistical inference made at p value &lt;0.05.Results The prevalence of early sexual initiation was 11%; 80% of the respondents who had initiated sex did so before age 15, while 20% had first sex at ages between 15 and 19. …”
Get full text

The efficiency of urban public transport and its impact on environmental sustainability by Joaquín Sánchez Toledano, Beatriz Duarte Monedero, Sandra Flores - Ureba, Clara Simón de Blas

“…The sample comprises companies providing bus and metro transport services in four of the biggest cities in Spain during the period 2017 - 2021.The methodology used will be (1) a description of the main variables of these companies and (2) a data envelopment analysis and the Malmquist index as statistical inference estimators to provide the productivity, efficiency change (EFCH) into Pure Technical Efficiency Change (PTECH), and Scale Efficiency Change of the analyzed companies. …”
Get full text

Methodological Approaches to Comparative Trend Analyses: The Case of Adolescent Toothbrushing by Torbjørn Torsheim, Frank J. Elgar, Alina Cosma, Alina Cosma, Caroline Residori, Oddrun Samdal, Christina Schnohr, Christina Schnohr

“…Using logistic regression models and generalized linear mixed models, toothbrushing daily was regressed on time, following the three approaches to analysis of trends.ResultsThe stratified approach suggested a positive but non-linear trend in toothbrushing from 2006 to 2022 in most countries but provided no statistical inference on the variation. The fixed effect and the random effect approach converged on a positive but flattening overall trend, with a statistically significant country variation in trends.ConclusionOnly the fixed effect approach and the random effects approach provided clear answers to the research question. …”
Get full text

Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems by Michele Lungaroni, Andrea Murari, Emmanuele Peluso, Pasqualino Gaudio, Michela Gelfusa

“…The results of a series of systematic numerical tests show the advantages of the proposed approach in all the main aspects of statistical inference, from measures of location and scale to size effects and hypothesis testing. …”
Get full text

Association between time consumption of electronic screens with eating behaviors and academic performance for pupils in elementary schools by Mohammed A. S. Al-Wily, Luay A. M. Al-Waly

“…The data analysis techniques employed were statistical methods such as descriptive and statistical inference. Results: The findings of the study are 73.8% (177) of the sample at a level good academic performance with a total mean of 24.35 and a standard deviation of 8.558 that 78.3% (188) of the sample a good level of pupils’ behavior around food with a total mean of 49.47 and a standard deviation of 12.460. …”
Get full text

Consistent Estimators of the Population Covariance Matrix and Its Reparameterizations by Chia-Hsuan Tsai, Ming-Tien Tsai

“…A high-dimensional statistical hypothesis testing problem is used to carry out statistical inference for high-dimensional principal component analysis-related problems without the sparsity assumption. …”
Get full text

MOKSLO VERTYBINIO NEUTRALUMO PROBLEMA XX A. FILOSOFIJOJE (M. WEBERIS, ANALITINĖ MOKSLO FILOSOFIJA IR METAETIKA, KRITINĖ TEORIJA) by Zenonas Norkus

“…One of these difficulties is dependence of choice of significance level in statistical inference on practical considerations concerning consequences of the type I vs. type II error (this is a problem for logical empiricist philosophy of science). …”
Get full text

MOKSLO VERTYBINIO NEUTRALUMO PROBLEMA XX A. FILOSOFIJOJE (M. WEBERIS, ANALITINĖ MOKSLO FILOSOFIJA IR METAETIKA, KRITINĖ TEORIJA) by Zenonas Norkus

“…One of these difficulties is dependence of choice of significance level in statistical inference on practical considerations concerning consequences of the type I vs. type II error (this is a problem for logical empiricist philosophy of science). …”
Get full text

Lightweight Data Compression in Wireless Sensor Networks Using Huffman Coding by Henry Ponti Medeiros, Marcos Costa Maciel, Richard Demo Souza, Marcelo Eduardo Pellenz

“…When the data collected by the sensor nodes consists of integer measurements, the Huffman dictionary computed using statistics inferred from public datasets often approaches the entropy of the data. …”
Get full text

Alpha Power Transformed Generalized Weibull Distribution With Its Detailed Properties and Applications by Merga Abdissa Aga, Ayele Taye Goshu

“…Implications for statistical inferences, parameter estimation, and applications in fields of life sciences are discussed, offering new insights. …”
Get full text

Sublinear Expectation Nonlinear Regression for the Financial Risk Measurement and Management by Yunquan Song, Lu Lin

“…Under the nonlinear expectation framework, however, the related statistical models and statistical inferences have not yet been well established. …”
Get full text

TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors by Xin Lai, Shaoliang Wang, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Zhili Chang, Zhili Chang, Xiaonan Wang, Xiaonan Wang, Yang Shao, Yang Shao, Jiayin Wang, Yixuan Wang

“…However, measurement errors can compromise the accuracy of TMB assessments and the reliability of clinical outcomes, introducing bias into statistical inferences and adversely affecting TMB thresholds through cumulative and magnified effects. …”
Get full text

Utility of Toll-Free Interactive Voice Response System (IVRS) Helpline under National Oral Health Program (NOHP) - A Cross-Sectional Hospital Based Study by Utkal K. Mohanty, Swapna Sarit, Gaurav Sharma, Jayanta K. Dash

“…Statistical Analysis: Descriptive statistics with proportions were calculated and Chi-square was computed, P < 0.05 was considered significant for all statistical inferences. Results: None of the participants were aware of the existence of the toll-free helpline number of NOHP. …”
Get full text

Analysing the role of the perceptual dimension in the formation of the urban third place by Upendra Joshi, Snehal Nagarsheth

“…We decipher the qualitative observations of the survey using Nvivo, a software tool that supports both descriptive and inferential statistical inferences. The consideration of age versus the diverse perceptual needs of the users explains the interrelationship while making it convenient for the statistical analysis of the study's observations. …”
Get full text