{"title":"Permanent Scaffolding of Social Expertise","authors":"Anya Plutynski, Ge Fang","doi":"10.1007/s10441-026-09533-8","DOIUrl":"10.1007/s10441-026-09533-8","url":null,"abstract":"<div><p>The metaphor of “scaffolding” originates from developmental psychology, and has become a central theoretical concept that plays explanatory roles in psychology, developmental biology, and evolutionary biology. In developmental psychology, the scaffolding process is typically characterized as a child’s temporary reliance on external structure in training activities, which leads to long-term transformation of the child’s capacities. In recent attempts to clarify this concept for wider usage (e.g., Caporael, Griesemer, and Wimsatt 2014a, b; Neto et al. 2023), the temporariness of dependence on scaffolds is still seen as a typical, if not defining, feature of scaffolding explanations. In this paper, we follow Bill Wimsatt’s footsteps (Wimsatt 2014a, 2019; Wimsatt and Griesemer 2007) in examining the development of skills that require complex developmental trajectories. Our cases are jazz improvisation and scientific expertise, both of which are distinctively social and improvisational. We argue that the social scaffolds required to reach the maturity of such expertise are continually required thereafter for maintenance and further development. This is because improvisational training is somewhat indistinguishable from improvisational performance, and performance in social expertise aims at interactions, communications, and rapport between interlocutors.</p></div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10441-026-09533-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148315087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Who infects whom in an epidemic?","authors":"Román Zúñiga-Macías, Ignacio Barradas","doi":"10.1007/s10441-026-09531-w","DOIUrl":"10.1007/s10441-026-09531-w","url":null,"abstract":"<div><p>Epidemiological surveillance systems often provide data on specific characteristics of an infected population. For instance, sex, geographical location, socioeconomic level and age of the registered individuals. This allows us to study the population divided into groups. However, information on the dynamics of infected people classified by group is not usually exploited when analyzing the evolution of an epidemic. In this work, we propose a tool to analyze how the spread of an epidemic is heterogeneous among different population groups. Based on records of infected individuals we identify synchronicity and causality interactions among population groups. Describing this dynamics and which population groups are the first focus of infection is essential for decision makers. We represent time series by population group and their degree of similarity using a weighted graph, and we apply a community detection algorithm to partition this graph. Each community is composed of synchronized age groups. The direction of interaction among different communities is identified using sample cross-correlation in a domain that can indicate causality. This is illustrated by considering age groups and using datasets of COVID-19 in Jalisco, Mexico and influenza A(H1N1) in the USA. In both cases, the proposed methodology detected which age groups show synchronized behavior across time, and which age groups influence the subsequent appearance of epidemic outbreaks in other groups.</p></div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148154833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Discrete Dynamical System Approach for Modeling Wolbachia Infection in Dioecious Populations","authors":"Songül Esin, Müge Kanuni, Barış Özdinç","doi":"10.1007/s10441-026-09530-x","DOIUrl":"10.1007/s10441-026-09530-x","url":null,"abstract":"<div><p>This paper considers the behavior of Wolbachia infection in a dioecious population as a discrete dynamical system. A recurrence relation is obtained as a function of the initial infected male/female frequencies and the cytoplasmic incompatibility of the population. Experimental data from Wolbachia-infected terrestrial isopod populations and a model proposed in Wolbachia-infected mosquitoes from the literature are compared with the proposed system.</p></div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148040377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aman Kumar Singh, Rasha Almshekhs, Manish Kumar, Subramanian Ramakrishnan
{"title":"Correction: The Emergence of Turing Instability and Pattern Formation in a Nonlinear Stochastic Spatiotemporal Epidemic Model with Reinfections","authors":"Aman Kumar Singh, Rasha Almshekhs, Manish Kumar, Subramanian Ramakrishnan","doi":"10.1007/s10441-026-09528-5","DOIUrl":"10.1007/s10441-026-09528-5","url":null,"abstract":"","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10441-026-09528-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148004255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Allele Frequency Spectra as a General Tool for Modeling Genetic Diversity","authors":"Ola Hössjer, Linda Laikre, Nils Ryman","doi":"10.1007/s10441-026-09524-9","DOIUrl":"10.1007/s10441-026-09524-9","url":null,"abstract":"<div><p>In this paper we study genetic variation at a highly polymorphic locus of a monoecious or dioecious population whose census and effective sizes differ and possibly vary independently over time. More specifically, we develop a general framework for the allele frequency spectrum (AFS) at this locus, and functions of the AFS. Examples of such functions are number of alleles, number of common and rare alleles, allelic diversity, gene diversity, higher order gene diversity and Hill numbers. We develop exact recursions for the expected AFS, and its functionals, with particular interest in populations that experience a rapid (a few generations) bottleneck followed by approaching a new equilibrium between mutation and drift. A grid-based numerical algorithm is developed, which is exact for small populations and approximate for large populations. This algorithm is exemplified with exact calculations for small populations that undergo a bottleneck, and approximate calculations for a moderately large population that rapidly decreases in size.</p></div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13190779/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147980048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Metabolic Scaling from Fibonacci Dynamics","authors":"Dorilson Silva Cambui","doi":"10.1007/s10441-026-09529-4","DOIUrl":"10.1007/s10441-026-09529-4","url":null,"abstract":"<div><p>We propose a discrete, stage-dependent model for metabolic scaling grounded in approximately geometric growth across successive developmental steps, using Fibonacci recursion as an archetype. In contrast to continuous fractal models such as the West-Brown-Enquist (WBE) theory, our framework treats metabolism as the cumulative activity of structures formed in prior stages. The scaling exponent <i>b</i>(<i>n</i>) emerges from a logarithmic relation between consecutive stages and varies with the growth stage <i>n</i>. A refined logarithmic expression improves descriptive agreement with empirical mammalian data relative to the WBE baseline. Across nine species, model-based <i>b</i>(<i>n</i>) values are on average closer (mean deviation <span>(<!9%)</span>, with improvements up to <span>(sim !12%)</span>) to intraspecific estimates. The stage index <i>n</i> is inferred deterministically as <span>(n=log _{phi }(M(n)/M_0))</span>, where <span>(phi =(1+sqrt{5})/2)</span> is the golden ratio, from reported birth mass <span>(M_0)</span> and mass at stage <i>n</i>, <i>M</i>(<i>n</i>). The model is intended for moderate developmental stages under basal conditions and complements classical 2/3 and 3/4 baselines by capturing systematic, stage-specific departures from a single constant exponent. This discrete perspective clarifies when and why deviations from classical allometries arise and offers a compact mechanism linking recursive growth to metabolic scaling.</p></div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147938421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Decolonial Lexicon for Immunology","authors":"Claudio Vieira da Silva","doi":"10.1007/s10441-026-09527-6","DOIUrl":"10.1007/s10441-026-09527-6","url":null,"abstract":"<div><p>The discipline of immunology has historically been foundationally framed by metaphors of war, portraying the body as a sovereign state defending its territory against foreign invaders. This paradigm, however, is not strictly a biological necessity but also a historical artifact of colonial logic that arguably limits our understanding of symbiosis, tolerance, and the nature of relational pathologies. This paper argues for a decolonial paradigm shift, proposing a comprehensive reframing of the immune system not as a military force but as a sophisticated system of communication, governance, and diplomacy within a multi-species community, the holobiont. We trace the colonial genealogy of war metaphors and expose its conceptual inadequacies in the face of modern biology, distinguishing between historical rhetorical resonances and causal scientific developments. Drawing inspiration from relational and ecological philosophies, we then propose a new conceptual lexicon, using the metaphor of the body as a quilombo, a diverse and resilient community. By separating canonical biological mechanisms from metaphorical interpretation, this framework reframes core immunological processes: inflammation becomes an urgent community assembly, the adaptive response a journey of information, and pathologies like autoimmunity, cancer, and immunodeficiency become crises of communication and social cohesion. Offered as a conceptual heuristic rather than a wholesale structural equivalent, this relational approach offers not only new avenues for research and therapy but also serves as a powerful pedagogical tool to foster a more holistic, integrated, and ecologically conscious view of life itself.</p></div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13157407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147863346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bayesian Inferential Analysis of Genetic Risks Based on Family History","authors":"Mehmet Cevri, Dursun Ustundag","doi":"10.1007/s10441-026-09525-8","DOIUrl":"10.1007/s10441-026-09525-8","url":null,"abstract":"<div><p>Classical statistical analysis is a frequently employed methodology in numerous domains of genetic research. In recent times, however, there has been a notable increase in the interest accorded to the deployment of Bayesian statistics in the field of genetics, as it incorporates a priori hypotheses about genetic knowledge into the problem. The potential risk of developing a genetic disease is influenced by the patient’s genetics, ethnicity, gender, age, and family history. The objective of this study is there<span>(^{1})</span>fore to provide molecular pathologists working with genetic testing with a comprehensive overview of the basic principles of Bayesian analysis and genetic risk assessment. Furthermore, the study aims to develop a computer code that estimates the probability of transmission of genetic traits between generations and performs risk analysis within the framework of Bayesian logical inference. This framework facilitates the calculation of the probability of a specific hypothesis, whether it pertains to disease state or a determination of carrier status, by integrating familial data and/or the results obtained from genetic testing. The present algorithm was utilized for the purpose of evaluating the genetic risk of everyone within a given pedigree, in addition to predicting the likelihood of cystic fibrosis (CF) manifesting in human genetics. This objective was accomplished by employing transition matrices in Markov chains and subsequently calculating the final probability vector of the transmission of genetic traits. The primary function of this tool is to evaluate the genetic susceptibility of individuals within a family history to cystic fibrosis and to predict the probability of developing the condition. The results demonstrate the effectiveness of the proposed algorithm in performing reliable genetic risk assessments for patients and family members with cystic fibrosis disease or other autosomal recessive disorders.</p></div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diego A. Garzón-Alvarado, Carlos A. Duque-Daza, Dorian L. Linero, Boumediene Nedjar, Abdelghani May, Estevam Barbosa Las Casas, Salah Ramtani
{"title":"Integration of Bone Remodeling and Damage Accumulation: A Preliminary Computational Framework for Physiological and Pathological Responses","authors":"Diego A. Garzón-Alvarado, Carlos A. Duque-Daza, Dorian L. Linero, Boumediene Nedjar, Abdelghani May, Estevam Barbosa Las Casas, Salah Ramtani","doi":"10.1007/s10441-026-09522-x","DOIUrl":"10.1007/s10441-026-09522-x","url":null,"abstract":"<div>\u0000 \u0000 <p>This study presents a computational model that integrates bone remodeling dynamics with damage accumulation, focusing on both physiological and pathological conditions. Building upon Komarova’s classical model of osteoclast and osteoblast interactions, this work introduces fatigue-induced damage using a stress-life (S-N) approach. By simulating bone responses under sinusoidal and random mechanical loads, the model captures the cyclical nature of bone turnover. The results show that under normal physiological conditions, bone is able to repair microdamage and maintain structural integrity. However, in pathological scenarios such as osteoporosis and tumors, the remodeling cycle is disrupted, leading to an increase in damage accumulation and eventual structural failure. Through numerical simulations, the study also demonstrates the significant impact of fatigue on bone health, showing that repetitive mechanical loads, even below critical stress levels, can result in bone degradation over time. By capturing the accumulation of microdamage and its repair, the model offers potential applications in personalized medicine to assess fracture risks in varying stress and health scenarios. This approach provides a framework for understanding how different stress patterns contribute to bone damage and offers insights into the progression of bone diseases. The model could be extended using metabolic and age-related characteristics and serves as a potential tool for personalized medicine, helping to predict bone failure risks in individuals when they are submitted to repetitive mechanical loads.</p>\u0000 </div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10441-026-09522-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Atina Ahdika, Muhammad Fakhruddin, Putu Veri Swastika
{"title":"Assessing the Impact of Vaccination Strategies on COVID-19 Dynamics Via Time-varying Copulas","authors":"Atina Ahdika, Muhammad Fakhruddin, Putu Veri Swastika","doi":"10.1007/s10441-026-09523-w","DOIUrl":"10.1007/s10441-026-09523-w","url":null,"abstract":"<div>\u0000 \u0000 <p>The COVID-19 pandemic has presented an unprecedented global challenge, significantly impacting public health, economies, and daily life worldwide. In response to this crisis, scientists and researchers around the world have worked tirelessly to understand the virus, its transmission dynamics, and most importantly, to develop effective vaccines. However, questions remain about the comparative effectiveness of these vaccines, particularly in real-world scenarios. This paper aimed to address this critical issue by employing advanced statistical techniques, including time-varying copulas. In this study, we employed four types of copula, namely Gaussian, Student-<i>t</i>, Clayton, and Gumbel, to model the temporal association between vaccination and the emergence of COVID-19 cases. The results of this study suggested that the number of subsequent vaccinations, especially the first to fourth vaccines, has a significant impact on the occurrence and spread of COVID-19 under particular conditions. Furthermore, we proposed several modeling scenarios for COVID-19 cases based on their temporal interactions with the number of subsequent vaccinations. The findings of this research provided a comprehensive understanding of the temporal relationship between vaccination and its impact on reducing COVID-19 cases.</p>\u0000 </div>","PeriodicalId":7057,"journal":{"name":"Acta Biotheoretica","volume":"74 3","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}