When Sardines Disappear: Tracking Common Dolphin, <i>Delphinus delphis</i>, Distribution Responses Along the Western Iberian Coast by Sarah Brouder, Tiago A. Marques, Nuno Oliveira, Pedro Monteiro, Jorge M. S. Gonçalves, Ana Marçalo

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Using Slutsky equation to find the hotel growth model in the destination life cycle: an empirical study in Myrtle Beach by Xuan V. Tran

“…Hotel brand reflecting guests’ hotel class is measured by the income elasticity of demand. Autoregressive distributed lag has been conducted on the Smith Travel Research data in 33 years (1989–2022) to determine the relationship among hotel brand, culture and life cycles. …”
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Association of Ambient Temperature and Relative Humidity With Respiratory Syncytial Virus Infections Among Hospitalized Children in Suzhou, Eastern China: A Time‐Series Analysis by Yingfeng Lu, Shaolong Ren, Xuejun Shao, Jianmei Tian, Feifei Hu, Fang Yao, Tao Zhang, Genming Zhao

“…A distributed lag nonlinear model with quasi‐Poisson regression was employed to assess the exposure‐lag‐response associations. …”
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Association between ambient temperature and injuries: A time series analysis using emergency ambulance dispatches in Shanghai by Yan Hu, Zhifeng Zhang, Li Peng, Wenjie Lu, Haotian Jiang, Jiayue Zhu, Xu Liu

“…A distributed lag nonlinear model (DLNM) with a quasi-Poisson distribution was applied to evaluate the association between ambient temperatures and injury-related emergency ambulance dispatches. …”
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Maternal exposure to ambient temperature and risk of preterm birth in Chengdu, China, from 2017 to 2020: a cohort study by Qiqi Huang, Xiong-Fei Pan, Shijiao Yan, Zhonghan Sun, Yuwei Lai, Yixiang Ye, Jiaying Yuan, Chuanzhu Lv, Rixing Wang, Xingyue Song

“…Additionally, the lagged effect of environmental temperature on preterm births throughout the study period was analyzed using a distributed lag non-linear model. Results Among the 6850 pregnant women, 301 (4.4%) were diagnosed with PTB. …”
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Integrating published experimental data and hierarchical bayesian modeling: a model for common cuttlefish (Sepia officinalis Linnaeus, 1758) growth to improve predictions for aquac... by Enrico Nicola Armelloni, Giuseppe Scarcella, André E. Punt

“…The results showed that including covariates and random effects improved the ability of the model to fit the data. Growth was found to increase rapidly at low food rations but at a decreasing rate as the food supply becomes abundant. …”
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Enhancing Airport Resource Efficiency Through Statistical Modeling of Heavy-Tailed Service Durations: A Case Study on Potable Water Trucks by Changcheng Li, Minghua Hu, Yuxin Hu, Zheng Zhao, Yanjun Wang

“…Results reveal that heavy-tailed distributions offer context-dependent advantages: the stable distribution exhibits superior modeling performance during peak operational periods, whereas the Burr distribution excels under non-peak conditions. …”
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BIM-GIS Integration for Interactive, Open and Low-Cost 3D Land Use Registration and Urban Neighbourhood Management by Dimitra Andritsou, Chryssy Potsiou

“…The methodology includes: 1) the creation of approximate BIMs by utilizing open and available data and platforms, 2) modelling of land uses as 3D volumetric prisms, 3) registering semantic and geometrical land use information and 4) crafting statistical graphs, emphasising on data compilation and BIM-GIS standards implementation.…”
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Multiphysics modeling and validation of a microwave applicator with a three-stub tuner for the continuous flow pasteurization of fruit juices with low reflection by Guilherme Russo, Jorge A. W. Gut, Jorge A. W. Gut, Dorin Boldor

“…Seventeen processing conditions, varying in product types, temperatures, and flow rates, were simulated and compared with experimental data. The model demonstrated an overall prediction error of 1.6 ± 1.3°C for the outlet temperature of orange juice, while errors for mango purée and mango juice ranged between 1.8 and 5.5°C. …”
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Projecting the effect of climate change on multiple Geomorphological hazard using machine learning data driven approaches by Narges Kariminejad, Atiyeh Amindin, Adel Sepehr, Hamid Reza Pourghasemi

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Simulating a Weak Rock Mass by a Constitutive Model by Ava Azadi, Moe Momayez

“…This approach aims to capture the impact of geological factors such as foliation and jointing on the mechanical behavior of weak rock masses, which are often characterized by low strength and high deformability. Five rock types (claystone, mudstone, sandstone, shale, and siltstone) were simulated, generating 1000 cases per type with variability modeled using Weibull distributions. …”
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Population genomics and distribution modeling revealed the history and suggested a possible future of the endemic Agave aurea (Asparagaceae) complex in the Baja California Peninsul... by Anastasia Klimova, Jesús Gutíerrez‐Rivera, Alfredo Ortega‐Rubio, Luis E. Eguiarte

“…The low population genetic structure found in A. aurea is consistent with agave's life history, and it is probably related to continuity of distribution, relatively low habitat fragmentation, and dispersion by pollinators. …”
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

“…This study presents an efficient and interpretable framework for unsupervised detection of low, very low, and extreme birth weights. While traditional approaches to managing class imbalance require labeled data, our study explores the use of unsupervised learning to detect anomalies indicative of low birth weight scenarios. …”
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Construction of Response Models for Color Gradation Skewed Distribution Parameters Extracted from Digital Wheat Canopy Images in Response to Cold-Spell Effects by Jibo Zhang, Hongwei Zhou, Chuanxiang Yi, Pei Zhang, Haijun Huan, Feifei Xu, Qi Chen, Qiqing Shan, Ye Sheng, Qin Mei

“…Analysis revealed that low-temperature stress altered pixel color and grayscale values, with shifts captured by skewness and kurtosis parameters of color gradation distributions. …”
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Fractal modeling of moisture diffusion in wood cell wall by Dessie T. Tibebu, Stavros Avramidis

“…The model accounts for fractal dimensions, porosity, and pore size distribution. …”
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Spatial Prediction of Soil Water Content by Bayesian Optimization–Deep Forest Model with Landscape Index and Soil Texture Data by Weihao Yang, Ruofan Zhen, Fanyue Meng, Xiaohang Yang, Miao Lu, Yingqiang Song

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Quantum kernel t-distributed stochastic neighbor embedding by Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii

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Identification of recurrent dynamics in distributed neural populations. by Rodrigo Osuna-Orozco, Edward Castillo, Kameron Decker Harris, Samantha R Santacruz

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Temporal and spatial temperature distributions and heavy oil production performances in hot-water flooding processes at different water temperatures and injection rates by Jiangyuan Yao, Wei Zou, Yongan Gu

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Numerical analysis of industrial electrolytic pickling for cold-rolled flat stainless steel using secondary current distribution by Alvaro M. Bossio, Edoardo Basilico, Ruben Gielen, Maarten Blommaert, Jan Fransaer, Martine Baelmans

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