Analysis of rainfall variability and extreme events in South-Western Nigeria: implications for water resource management and climate resilience by Ayoola Emmanuel Awode, James Rotimi Adewumi, Obinna Obiora-Okeke, Akinola Adesuji Komolafe

“…Extreme rainfall events were modelled using Gumbel and generalized extreme value (GEV) distributions, with the latter providing a superior fit, as validated by Kolmogorov–Smirnov (K–S) and Anderson–Darling (A–D) tests. …”
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Next-Generation Water Management and Crop Modeling of Sustainable Energy in PLC Based on Agrivoltaics Systems With IoT by Sami Abduljabbar Rashid, Abdalrahman Fatikhan Ataalla, Yousif Al Mashhadany, Sameer Algburi, Norhana Arsad

“…By combining PLC for high-speed data transmission and LoRaWAN for long-range, low-power connectivity, the system enables seamless communication between distributed sensors, minimizing infrastructure costs and enhancing scalability. …”
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RETRACTED: Evaluation of post COVID-19 energy poverty and global trading impact on energy affordability by Elena Rostislavovna Schislyaeva, Olga Anatolievna Saychenko

“…The influence of bilateral commerce on energy poverty was investigated using many robust panel data approaches, including cross-sectional autoregressive distributed lag (CS-ARDL), common correlated effects generalized method of moments (CCE-GMM), and instrumental variable regression. …”
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Spatio-Temporal Diversification of per Capita Carbon Emissions in China: 2000–2020 by Xuewei Zhang, Yi Zeng, Wanxu Chen, Sipei Pan, Fenglian Du, Gang Zong

“…Based on the statistics and carbon emissions data of 367 prefecture level cities in China from 2000 to 2020, this study employed markov chain, kernel density analysis, hotspots analysis, and spatial regression models to reveal the spatiotemporal distribution patterns, future trends, and driving factors of PCEs in China. …”
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Spatiotemporal Bayes model for estimating the number of hotspots as an indicator of forest and land fires in Kalimantan Island, Indonesia by FADILLAH ROHIMAHASTUTI, ANIK DJURAIDAH, HARI WIJAYANTO

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Aerodynamic Performance and Numerical Validation Study of a Scaled-Down and Full-Scale Wind Turbine Models by Zahid Mehmood, Zhenyu Wang, Xin Zhang, Guiying Shen

“…The results of the SST K-Omega and transitional SST models were aligned with experimental test measurement data at low wind speeds. …”
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Designing and Validating an Educational Model of Accounting Graduate Students in the Knowledge and Skills Required in Qualitative and Quantitative Research by Akram Taftiyan, Nasrin Alraji, Fatemeh Mansouri Mohammad Abadi

“…In the quantitative phase, 157 doctoral graduates in accounting were determined as a sample by random sampling and the research questionnaire was distributed among them. Theme analysis method was used to analyze qualitative data. …”
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A generalisable agent-based model of residential electricity demand for load forecasting and demand response management by Baxter Lorenzo McIntosh Williams, Daniel Gnoth, R.J. Hooper, J. Geoffrey Chase

“…The model is constructed in MATLAB R2022b with sub-models for appliance use, space heating, and water heating, and validated with real electricity demand profiles from low-voltage distribution transformers in Aotearoa New Zealand and data from appliance use in homes around the country. …”
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Investigating nuclear deformation and longitudinal form factors in some fp-shell nuclei using the shell model and Hartree - Fock approximation by A. A. Alzubadi, R. T. Mahdi

“…The impact of varying the single-particle nuclear potentials, such as a harmonic oscillator, Woods - Saxon, and Skyrme - Hartree - Fock, was investigated in comparison with experimental data. Discrepancies with the experimental data led to adjustments in the two-body effective interactions or the model for calculating the effective charge of the nucleus for specific transitions. …”
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Natural Gas Consumption Forecasting Model Based on Feature Optimization and Incremental Long Short-Term Memory by Huilong Wang, Xianjun Gao, Ying Zhang, Yuanwei Yang

“…Finally, an incremental learning-based regression difference loss is introduced to promote the model’s understanding of the coupled relationships within the data distribution. …”
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Kinerja Metode Rank Sum, Rank Reciprocal dan Rank Order Centroid Menggunakan Referensi Poin Moora (Studi Kasus: Bantuan Kuota Data Internet untuk Mahasiswa) by Ummul Hairah, Edy Budiman

“…The main objective of this research is to offer an implementation multi-criteria decision-making (MCDM) method in distributing internet data quota assistance for students' learning online from home to be right on target based on the needs. …”
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Modeling and possible control of droplet-mediated spread of respiratory viruses by the study of the environmental conditions in closed rooms by C. Pirola, F. Manenti, F. Maestri, G. Silvestri, S. Copelli

“…This phenomenon can certainly be explained by the greater time spent in closed indoor environments, but it also depends on the greater efficiency that the saliva droplets, as virus carriers, demonstrate in these weather conditions.Basing on the observation that the droplet lifetime depends on many parameters as external temperature (Tair), relative humidity (RH) and air speed, and considering the size distribution of the same droplet, it was modelled the effect of these parameters on the diffusion of respiratory droplets. …”
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Development Process and Characteristics Study of Tree Line Discharge in 10 kV Overhead Power Lines by XU Huikai, HUANG Xiaolong, YANG Chunlan, CHEN Tianxiang, YANG Nongchao, CHEN Long

“…The moisture distribution within the tree affected the development of current channels. …”
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Based on the improved SCGM(1,1)c and WIV rainfall landslide susceptible area prediction model by Qian Zhang, Shujie Cao, Yanliang Du, MingYuan Du, Yixuan Zhao, Yaoqi Nie

“…A GIS based weighted information model was established to divide the study area into five categories: extremely low, low, medium, high, and high, and to evaluate the susceptibility of landslides. …”
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Characterizing US Spatial Connectivity and Implications for Geographical Disease Dynamics and Metapopulation Modeling: Longitudinal Observational Study by Giulia Pullano, Lucila Gisele Alvarez-Zuzek, Vittoria Colizza, Shweta Bansal

“…We thus inform the design of such metapopulation models to balance high disease predictability with low data requirements.…”
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Analysis of Oil-Water Distribution Law and Main Controlling Factors of Meandering River Facies Reservoir Based on the Single Sand Body: A Case Study from the Yan 932 Layer of Y Oil... by Tiaotiao Shi, Shengping He, Kaitao Yuan, Mingjun Liu, Min Wang, Xingping Tu, Liwen Chang

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Species-specific machine learning models for UAV-based forest health monitoring: Revealing the importance of the BNDVI by Simon Ecke, Florian Stehr, Jan Dempewolf, Julian Frey, Hans-Joachim Klemmt, Thomas Seifert, Dirk Tiede

“…Furthermore, the averaged values per sample tree over three years, alongside the 5th and 25th percentile of the data distribution, have proven to be of key importance. …”
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Livestock production losses attributable to brucellosis in northern and central Tanzania: Application of an epidemiological-economic modelling framework. by Ângelo J F Mendes, Daniel T Haydon, William A de Glanville, Rebecca F Bodenham, AbdulHamid S Lukambagire, Paul C D Johnson, Gabriel M Shirima, Sarah Cleaveland, Emma McIntosh, Nick Hanley, Jo E B Halliday

“…Livestock brucellosis is an endemic disease in many low-resource settings. Despite its widespread distribution, little is known about the scale of economic impacts caused by the disease. …”
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Spatio-temporal modelling and prediction of malaria incidence in Mozambique using climatic indicators from 2001 to 2018 by Chaibo Jose Armando, Joacim Rocklöv, Mohsin Sidat, Yesim Tozan, Alberto Francisco Mavume, Maquins Odhiambo Sewe

“…The model’s ability to predict high and low malaria seasons was evaluated using receiver operating characteristic (ROC) analysis. …”
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Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions by Muhammad Azam Hafeez, Alberto Procacci, Axel Coussement, Alessandro Parente

“…These surrogate models are built in a data-driven manner by combining computational fluid dynamics simulations with Proper Orthogonal Decomposition (POD) for dimensionality reduction and Gaussian Process Regression (GPR) for nonlinear regression. …”
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