DSpace Collection:

Infectious disease epidemiology under meteorological factors: A review of mathematical models and an extended SEIR framework

2026-03-03T17:34:34Z

Title: Infectious disease epidemiology under meteorological factors: A review of mathematical models and an extended SEIR framework Authors: Hari Subedi, Shiva; Alpizar-Jara, Russell; Bahadur Thapa, Gyan Abstract: Mathematical modeling can perform a deci-sive task in understanding, controlling, and preventingthe transmission of infectious diseases by forecastingtheir spread, estimating the effectiveness of interventionmeasures, and updating public health policies. A math-ematical epidemic model is a vital tool that can mockup the spread of infections under different scenariosand environments, allowing researchers to test and refinetheir understanding of the fundamental mechanisms. Thispaper attempts to review some existing mathematicalcompartmental epidemic models and explore the impact ofmeteorological factors such as air temperature, humidity,and wind speed on epidemiology. The goal is to identifyand categorize key components, research trends, majorfindings, and gaps within the models. Additionally, thepaper discusses some strategies to address these gapsand proposes a compartmental augmentation of the SEIRmodel incorporating meteorological factors for furtherwork

Information, Coding, and Biological Function: The Dynamics of Life

2026-02-23T11:20:16Z

Title: Information, Coding, and Biological Function: The Dynamics of Life Authors: Cartwright, Julyan; Grácio, Clara; Cejková, Jitka; Fimmel, Elena; Gonzalez, Diego; Piro, Oreste; Mišic, Natasa; Giannerini, Simone; Houwing-Duister, Jeanine; Goracci, Greta; Matic, Dragan; Mulder, Frans Editors: Alan Dorin Abstract: In the mid-20th century, two new scientific disciplines emerged forcefully: molecular biology and informationcommunication theory. At the beginning, cross-fertilization was so deep that the term genetic code was universally accepted for describing the meaning of triplets of mRNA (codons) as amino acids. However, today, such synergy has not taken advantage of the vertiginous advances in the two disciplines and presents more challenges than answers. These challenges not only are of great theoretical relevance but also represent unavoidable milestones for next-generation biology: from personalized genetic therapy and diagnosis to Artificial Life to the production of biologically active proteins. Moreover, the matter is intimately connected to a paradigm shift needed in theoretical biology, pioneered a long time ago, that requires combined contributions from disciplines well beyond the biological realm. The use of information as a conceptual metaphor needs to be turned into quantitative and predictive models that can be tested empirically and integrated in a unified view. Successfully achieving these tasks requires a wide multidisciplinary approach, including Artificial Life researchers, to address such an endeavour.

Numerical semigroups of coated odd elements.

2026-02-13T15:41:02Z

Title: Numerical semigroups of coated odd elements. Authors: J. C., Rosales; M. B., Branco; Marcio, Traesel Editors: HORST, S TER Abstract: A numerical semigroup S is coated with odd elements (Coe-semigroup), if {x − 1, x + 1} ⊆ S for all odd element x in S. In this note, we will study this kind of numerical semigroups. In particular, we are interested in the study of the Frobenius number, gender and embedding dimension of a numerical semigroup of this type

Numerical semigroups with fixed multiplicity and concentration

2026-02-13T15:23:36Z

Title: Numerical semigroups with fixed multiplicity and concentration Authors: J. C., Rosales; M. B., Branco; M. A., Traesel Editors: Chapman, Scott Abstract: We define the concentration of a numerical semigroup S as C(S)=max{nextS(s)−s∣s∈S\{0}}, where nextS(s)=min{x∈S∣s