Predicting oxytocin binding dynamics in receptor genetic variants through computational modeling by Preeti Dubey, Yingye Fang, K. Lionel Tukei, Shobhan Kuila, Xinming Liu, Annika Sahota, Antonina I. Frolova, Erin L. Reinl, Manasi Malik, Sarah K. England, Princess I. Imoukhuede

“…To address this, we developed a mathematical model examining the effects of five OXT receptor (OXTR) variants (V45L, P108A, L206V, V281M, and E339K) on OXT–OXTR binding dynamics in human embryonic kidney cells (HEK293T) and myometrial smooth muscle cells. …”
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Modeling Campaign Optimization Strategies in Political Elections under Uncertainty by Christopher, Senfuka, Paul, Kizito Mubiru, Maureen, N. Ssempijja

“…In most political campaigns,the overall goal of every candidate is to maximize the number of voters during the election exercise.In such an effort,cost effective methods in choosing the optimal campaign strategy areparamount.In this paper, a mathematical model is proposed that optimize campaign strategies of a political candidate.Considering uncertainty in voter support and cost implications in holding political rallies,we formulate a finite state markov decision process model where states of a markov chain represent possible states of support among voters.Using daily equal intervals,thecandidates‟s decision of whether or not to campaign and hold a political rally at a given location were made using discrete time Markov chains and dynamic programming over a finite period planning horizon.Empirical data was collected from two locations on a daily basis during the campaign exercise.The data collected was analyzed and tested to establish the optimal campaign strategy and costs at the respective locations.Results from the study indicated the existence of an optimal state-dependent campaign strategy and costs at the respective political rally locations.…”
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On the number of residues of certain second-order linear recurrences by Accossato, Federico, Sanna, Carlo

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Consistency of the $k$-nearest neighbors rule for functional data by Younso, Ahmad

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On the regularity problems of Einstein equations by Wang, Qian

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Deformations over non-commutative base by Kawamata, Yujiro

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Moduli of rank 2 vector bundles over a curve by Zhang, Xucheng

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Smooth Stable Foliations of Anosov Diffeomorphisms by Gu, Ruihao

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A Note on Barker Sequences and the $L_1$-norm of Littlewood Polynomials by Yu, Gang

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4d N $$ \mathcal{N} $$ = 1 from 6d D-type N $$ \mathcal{N} $$ = (1, 0) by Jin Chen, Babak Haghighat, Shuwei Liu, Marcus Sperling

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Evaluation of the ratcheting behavior of Cr-Mo steel used in CNG tank by Karim Aliakbari, Shahab Kamel Abbasnia, Mahmoud Shariati

“…The novelty of this research is that the hardening coefficients of 25CrMo4 steel were estimated by particular innovative mathematical equations. The effect of amplitude stress and mean stress on the ratcheting behavior of 25CrMo4 steel was investigated numerically. …”
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Spatial risk modelling of highly pathogenic avian influenza in France: Fattening duck farm activity matters. by Jean Artois, Timothée Vergne, Lisa Fourtune, Simon Dellicour, Axelle Scoizec, Sophie Le Bouquin, Jean-Luc Guérin, Mathilde C Paul, Claire Guinat

“…Accurate data regarding poultry farm densities and movements is critical for developing accurate mathematical models of HPAI virus spread and for designing effective prevention and control strategies for HPAI. …”
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Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system by Luis Javier Montiel-Olguín, Felipe de Jesús Ruiz-López, Sergio Gómez-Rosales, Germinal Jorge Cantó-Alarcón, Eliab Estrada-Cortés, Héctor Raymundo Vera-Ávila

“…Modeling lactation curves with mathematical equations is useful to describe and predict the productivity of dairy cows. …”
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Advanced load balancing techniques using MIMO fuzzy logic: A panel distribution case study at state polytechnic of Malang by Ika Noer Syamsiana, Harry Hassidiqi, Wijaya Kusuma, Anang Dasa Novfowan, Arwin Datumaya Wahyudi Sumari, Chandra Wiharya

“…. • The Sugeno method was selected due to its utilization of a constant mathematical function. This approach offers the benefit of straightforward computation, which can enhance the system's speed and efficiency. • The results showed that the initial load imbalance was 30.86 %, reduced to 5.59 % after the application of load balancing, this is following the IEEE std 446–1995 which allows the maximum load imbalance percentage to be 5–20 %.…”
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Results of novel theoretical approaches show a possible underestimation of building materials contribution to indoor radon levels by Maiorana Andrea, Di Carlo Christian, Ampollini Marco, Antignani Sara, Caprio Mario, Carpentieri Carmela, Bochicchio Francesco

“…Abstract The mathematical modelling represents one of the main possibilities to assess the radon gas coming out from building structures in a dwelling, especially in preventive strategies. …”
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Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms by Argyros Maris

“…Various items are considered to evaluate the movement of the piles that certainly help to understand a future picture of the project over the loading period. Most intelligent mathematical strategies in calculating the pile motion are operated. …”
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Defective Laplacians and paradoxical phenomena in crowd motion modeling by Maury, Bertrand

“…In these contexts, the discrete Laplace operator enjoys all the properties of its continuous counterpart, in particular: self-adjointness, variational formulation, stochastic interpretation, mean value property, maximum principle, ...In a first part, we give a detailed description of the correspondence between these mathematical properties and modeling considerations, in contexts where the continuous and the discrete settings perfectly match. …”
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Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds by Mathevet, Thibault, Le Moine, Nicolas, Andréassian, Vazken, Gupta, Hoshin, Oudin, Ludovic

“…We also illustrate the negative impacts of classical mathematical transformations (square root) applied to streamflow when employing NSE and KGE as metrics for model calibration.…”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…The proposed approach achieves high-quality and efficient target allocation, jamming mode selection, and power control. Mathematical models for radar systems and active jamming are developed to represent a multi-jammer and multi-radar electromagnetic confrontation scenario. …”
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Some lacunarity properties of partial quotients of real numbers by Zhao, Xuan, Zhang, Zhenliang

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