Analyzing the Asymmetric Effect of Macroeconomic Variables on Food Prices in Iran by R. Heydari, E. Javdan, M. Shabanzadeh Khoshrody

“…Materials and Methods The main objective of this study is to examine the asymmetric effect of domestic macroeconomic factors on food prices in Iran using a Non-linear Autoregressive Distributed Lag (NARDL) model. According to the theoretical literature, in this study, it is assumed that food prices are a function of macroeconomic variables, including money supply (MS), GDP per capita (GDPER), exchange rate (RATE), trade openness (OPEN), and global economic policy uncertainty index (EPU). …”
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Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model by Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li

“…The Informer model is effective at capturing the periodicity and long-term trends within the ZTD data, while the LSTM model excels at understanding short-term dependencies and dynamic changes. …”
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THE NUMBER OF EXTRANODAL SITES IN NODAL PTCL: A PROPOSAL FOR A FEASIBLE PROGNOSTIC MARKER FOR OUTCOMES IN LOW-INCOME COUNTRIES. A COLLABORATIVE STUDY GRUPO DE ESTUDIO LATINO-AMERIC... by T Fischer, E Miranda, J Pereira, G Duffles, JV Tavares, NS Castro, RSA Silva, DLC Farias, SAB Brasil, CCG Macedo, C Colaço, RLR Baptista, KZ Cecyn, D Bortucchi, GFS Barros, S Nabhan, PPG Radtke, R Schaffel, N Zing, FL Nogueira, AD Cunha-Junior, DV Clé, JTDS Filho, VLP Figueiredo, MD Pont, R Gaiolla, N Hamerschlak, EFO Ribeiro, A Hallack-Neto, MA Dias, Y Gonzaga, YS Rabelo, L Teixeira, G Perini, MALHM Conhalato, P Cury, H Idrobo, D Castro, B Beltran, D Enriquez, J Vasquez, C Roche, D Artiles, F Valvert, L Villela, C Oliver, L Korin, C Pena, M Roa, MAT Viera, AV Gasenapp, A Quiroz, CS Figari, R Rios, S Paredes, EE Saul, C Bermack, K Meza, B Valcarcel, CA Souza, L Malpica, CS Chiattone

“…Still, in practice, it is also necessary to have ways to stratify these patients using clinical data, mainly in regions with low-income resources. …”
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Numerical Investigation of Turbulent Mixed Convection of Liquid Metal in Inclined Tube Based on Second-order Differential Heat Flux Model by GUO Yuefeng, SU Xingkang, WANG Guan, CHEN Qijian, GU Long

“…Liquid metal reactors, widely used in advanced nuclear systems, utilize liquid metals with low Prandtl numbers as coolants. The flow of liquid metal within the fuel assembly often exists in a mixed convection regime. …”

A dissimilarity-adaptive cross-validation method for evaluating geospatial machine learning predictions with clustered samples by Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla

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AI-Based Smart Monitoring Framework for Livestock Farms by Moonsun Shin, Seonmin Hwang, Byungcheol Kim

“…These smart farms have evolved into smart livestock farming, which involves collecting, analyzing, and sharing data across the entire process from livestock production and growth to post-shipment distribution and consumption. …”
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Assessing the biomechanics of scheuermann’s kyphosis affected thoracolumbar spine in forward flexion at the tissue-level using a finite element model by Chunli Wan, Xiaowen Shen, Xixi Wu, Cui Yu, Yi Shao, Ruiping Zhang, Jiao Shang, Jianan Li, Yuting Zhang, Yongqiang Li

“…The CT-based finite element models were used to compute von Mises stress distributions—a mechanical parameter indicating combined tissue stress and potential risk of overload—in the vertebral body, intervertebral discs, and articular cartilage at different forward flexion angles under the applied loadig conditions. …”
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Dynamic Modeling of a Compressed Natural Gas Refueling Station and Multi-Objective Optimization via Gray Relational Analysis Method by Fatih Özcan, Muhsin Kılıç

“…The second stage focused on optimizing the volume distribution among the low, medium, and high-pressure tanks. …”
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Effect of milking interval and lactation stage on withdrawal period: Exemplified with a bovine oxytetracycline lactation physiologically based kinetic model by I.R. Dubbelboer, R. Gehring

“…The timing of drug administration was found to have no impact on the withdrawal period for this particular drug. The model's reliance on a priori estimated parameters ensured that the predictions of the distribution and elimination of compounds within the udder compartment were solely dependent on lactation stage and milking intervals. …”
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Spatiotemporal heterogeneity of the association between socioeconomic development and birth rate: a geographically and temporally weighted regression modeling study in China by Yu Yang, Rongxin He, Liming Li

“…This has significant implications for sustainable population planning.MethodsThis study applied hot spot analysis and the spatiotemporal geographically weighted regression (GTWR) modeling, used panel data of 286 cities in China from 2012 to 2021 to explore the spatiotemporal heterogeneity of the relationship between the socioeconomic development and birth rate.ResultsThe research has found that 2017 was an important turning point in China’s demographic transition. …”
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A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture by Nitthita Chirdchoo, Suvimol Mukviboonchai, Weerasak Cheunta

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Digital literacy model to improve the marketing skills of micro, small, and medium enterprises women with a community-based educational approach by Trisninawati Trisninawati, Dewi Sartika

“…Most respondents have a low level of digital literacy and limitations in using digital technology for business. …”
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Modelling soil prokaryotic traits across environments with the trait sequence database ampliconTraits and the R package MicEnvMod by Jonathan Donhauser, Anna Doménech-Pascual, Xingguo Han, Karen Jordaan, Jean-Baptiste Ramond, Aline Frossard, Anna M. Romaní, Anders Priemé

“…We present a comprehensive, customizable workflow for inferring prokaryotic phenotypic traits from marker gene sequences and modelling the relationships between these traits and environmental factors, thus overcoming the limited ecological interpretability of marker gene sequencing data. …”
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Extreme Grid Operation Scenario Generation Framework Considering Discrete Failures and Continuous Output Variations by Dong Liu, Guodong Guo, Zhidong Wang, Fan Li, Kaiyuan Jia, Chenzhenghan Zhu, Haotian Wang, Yingyun Sun

“…The occurrence probability of extreme operation scenarios is small, and the occurrence frequency in historical operation data is low, which affects the modeling accuracy for scenario generation. …”
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Optimizing land use for carbon neutrality: A scenario analysis in the Jakarta metropolitan area by Runsen Zhang, Chui Ying Lee, Marissa Malahayati, Yan Xu, Shin-ichi Onodera, Mitsuyo Saito, Iwan Ridwansyah, Ruci Wang

“…The model’s accuracy was validated through numerical simulations, revealing a high degree of alignment with observed data. …”
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The impact of land use transition on ecosystem service value in Lixiahe area: Multi-scenario simulation based on Markov-FLUS model by CHEN Xinwei, LI Hongbo, ZHANG Wenbo, GE Xiaoping

“…Overall, it presented a distribution feature of “low on the periphery and high in the center”. (3) The Markov-FLUS model has strong applicability in the region. …”
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Applying a Four-Way Factorial Experimental Model to Diagnose Optimum kNN Parameters for Precise Aboveground Biomass Mapping by Chinsu Lin, Nova D. Doyog

“…A total of 252 sampling schemes, incorporating various sampling methods, feature counts, neighbor counts (k), and reference-target distances (RTD), were utilized to generate corresponding AGB-kNN models. The performance of the models was assessed against measured AGB using a tree-based IPCC-compliant method with a high-resolution orthoimage and canopy-height-model data. …”
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Study on the predictive value of preoperative CT features for the mitotic index of GIST based on the nomogram by Ren Yingzheng, Jiang Linlin, Yang Yang, An Junjie, Dong Yonghong

“…According to the pathological data, the patients were divided into high mitotic index and low mitotic index, and were divided into a training group (n = 176) and a validation group (n = 74) according to a stratified sampling ratio of 7:3. …”
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Prevalence and determinants of double and triple burden of malnutrition among mother–child pairs in Malawi: a mapping and multilevel modelling study by Jessie Jane Khaki, Peter M Macharia, Lenka Beňová, Emanuele Giorgi, Aline Semaan

“… Abstract Objective: To establish the prevalence of double burden of malnutrition (DBM) and triple burden of malnutrition (TBM) among mother–child pairs in Malawi and explore their geographical distribution and associated multilevel factors. Design: Cross-sectional study using secondary data from the 2015–2016 Malawi Demographic and Health Survey using a mixed effects binomial model to identify multilevel factors associated with DBM and TBM. …”
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Analyzing the impact of area of interest (AOI) size and endmember selection on evapotranspiration (ET) estimation through a contextual model (SEBAL) by Hamza Barguache, Jamal Ezzahar, Jamal Elfarkh, Said Khabba, Salah Er-Raki, Valerie Le Dantec, Mohamed Hakim Kharrou, Ghizlane Aouade, Abdelghani Chehbouni

“…Conversely, applying a shapefile that covers the entire Landsat imagery led to a more uniform distribution of latent heat flux, especially in winter/spring (when the climatic demand is low), which reduced the model’s ability to capture spatial variability. …”
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