Ecological niche modeling of invasive alien plant species in a protected landscape by G.C.B. Paclibar, E.R. Tadiosa

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Neural Network Approaches for Distributional Shifts in Environmental Sensors by Tobias Sukianto, Sebastian A. Schober, Cecilia Carbonelli, Simon Mittermaier, Robert Wille

“…Consequently, deploying low-cost environmental sensors and the application of machine learning algorithms to the sensor raw data are crucial to enabling an overall assessment of the air quality around us. …”
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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…Abstract Most carbonate reservoirs exhibit heterogeneous pore distribution, whereby the matrix displays low permeability, thus impeding the flow of oil. …”
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Human activities and climate change are the main factors of amphibian extinction by Zhong Chen, Yuan-Sheng Cao, Meng-Sheng Dong, Wen-Bo Li

“…In this study we used species distribution model (SDM) and integrated data on gross domestic product (GDP), human footprint index (HFI), normalized difference vegetation index (NDVI), human population density (HPD) and climate change to predict potential changes in the distributional range and richness of 43 amphibian species in Anhui Province, China. …”
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Combining physics-based and data-driven models for quantitatively accurate plasma profile prediction that extrapolates well; with application to DIII-D, AUG, and ITER tokamaks by J. Abbate, E. Fable, G. Tardini, R. Fischer, E. Kolemen, the ASDEX Upgrade Team

“…A ‘meta-learning’ methodology for combining the accuracy of data-driven models with the generalizability of physics-based models is described and tested, yielding a 5–10 percent improvement in performance beyond either alone for the task of extrapolating time-dependent plasma profile prediction from low- to high- plasma current DIII-D tokamak discharges. …”
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Characteristics of Pore Volume Distribution and Methane Adsorption on Shales by Rui Wang, Ningsheng Zhang, Xiaojuan Liu, Xinmin Wu, Jie Chen, Lijing Ma

“…Finally, the modified D-A-Langmuir model including pore distribution parameters can provide a precise representation of the methane adsorption data on shales. …”
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Characteristics of Oak (Quercus petraea (Matt.) Liebl), hornbeam (Carpinus betulus L.) and ash (Fraxinus excelsior L.) in a plain-low hills-mountains-plateau sequence by Crișan Vlad Emil, Dincă Lucian, Vasile Diana, Murariu Gabriel, Drasovean Romana, Mocanu George Dănuț, Georgescu Lucian, Apăfăian Andrei

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Training intensity distribution of young elite soccer players by Thiago Oliveira Borges, Alexandre Moreira, Carlos Rogerio Thiengo, Rafael Gustavo Silva Duarte Medrado, Adriano Titton, Marcelo Rodrigues Lima, Alexandre Nunes Martins, Marcelo Saldanha Aoki

“…The current data indicate that elite young soccer players perform their training sessions predominantly at the low-intensity zone. …”
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Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong by Chun Sing Lam, Rong Hua, Herbert Ho-Fung Loong, Chun-Kit Ngan, Yin Ting Cheung

“…MethodsThis study used data from the National Health and Nutrition Examination Survey (NHANES) and the Hospital Authority Data Collaboration Laboratory (HADCL). …”
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Geospatial distribution of Hepatitis E seroprevalence in Nepal, 2021. by Chulwoo Rhee, Amy Dighe, Nishan Katuwal, Haeun Cho, Ramzi Mraidi, Dipesh Tamrakar, Jacqueline KyungAh Lim, Nimesh Poudyal, Il-Yeon Park, Deok Ryun Kim, Ritu Amatya, Rajeev Shrestha, Andrew S Azman, Julia Lynch

“…Bayesian geostatistical models were fitted to observed seroprevalence data and used to generate high-resolution maps of seroprevalence across Nepal. …”
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Threshold Anomaly Phenomenon of Optical Model Potentials for 7Li+207Pb System at Energies Near Coulomb Barrier by HUANG Zhijie1, LIN Chengjian1, 2, , YANG Lei1, , JIA Huiming1, MA Nanru1, WEN Peiwei1, YANG Feng1, WANG Danying1, LUO Tianpeng1, CHANG Chang1, DUAN Hairui1, ZHU Songxian1, YIN Cheng1, YANG Jionghe1, 2, WANG Haorui1, FAN Zerui1, FU Lingyi1, LI Huiyan1

“…Through fitting the angle distributions of elastic scattering by the optical model, the OMP parameters of the 7Li system were successfully determined. …”

Lag analysis of the effect of air pollution on orthopedic postoperative infection in Hebei Province and Xinjiang Uygur Autonomous Region by Shihang Liu, Shuai Zhou, Yonglong Li, Li Cao, Gang Lv, Libin Peng, Wei Chen, Lin Liu, Yingze Zhang, Hongzhi Lv

“…The lagged effects of air pollutants on postoperative infections were also evaluated using distributed lag nonlinear modeling, combined with air quality data from the same period. …”
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Sympathetic nerves are sparsely distributed in rat mesenteric perivascular adipose tissue by William F. Jackson, Emma D. Flood, D. Adam Lauver, Gregory D. Fink, Stephanie W. Watts, Brian D. Gulbransen

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Electric Power Consumption Forecasting Models and Spatio-Temporal Dynamic Analysis of China’s Mega-City Agglomerations Based on Low-Light Remote Sensing Imagery Incorporating Socia... by Cuiting Li, Dongmei Yan, Shuo Chen, Jun Yan, Wanrong Wu, Xiaowei Wang

“…Utilizing 2017–2021 NPP/VIIRS low-light remote sensing imagery to extract total nighttime light data, this study proposed an EPC prediction method based on the K-Means clustering algorithm combined with multiple indicators integrated with socio-economic factors. …”
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Probabilistic coupled EV‐PV hosting capacity analysis in LV networks with spatio‐temporal modelling and copula theory by Chathuranga D. W. Wanninayaka Mudiyanselage, Kazi N. Hasan, Arash Vahidnia, Mir Toufikur Rahman

“…Abstract The authors present an innovative approach for probabilistic coupled electric vehicle (EV) and solar photovoltaics (PV) hosting capacity analysis in low‐voltage (LV) distribution networks. The challenges posed by system uncertainties and correlations between different parameters, such as PV generation and EV charging demand, are addressed using probabilistic modelling. …”
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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models—an empirical analysis of Indian patient liver disease datasets by Ritu Rani, Garima Jaiswal, Nancy, Lipika, Shashi Bhushan, Fasee Ullah, Prabhishek Singh, Manoj Diwakar, Manoj Diwakar

“…Also, real-world datasets often have imbalanced class distributions, causing classifiers to perform poorly, leading to low accuracy, precision, recall values and high misclassification. …”
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In-utero exposure to PM2.5 and adverse birth outcomes in India: Geostatistical modelling using remote sensing and demographic health survey data 2019-21. by Arup Jana, Malay Pramanik, Arabinda Maiti, Aparajita Chattopadhyay, Mary Abed Al Ahad

“…This study investigates the influence of air quality on birth weight and preterm birth. Utilizing data from the national family health survey and raster images, the study employs various statistical analyses and spatial models to elucidate the connection between in-utero exposure to air pollution and birth outcomes, both at the individual and district levels. …”
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A Novel FDIA Model for Virtual Power Plant Cyber–Physical Systems Based on Network Topology and DG Outputs by Shuo Wu, Junhao Gong, Shiqu Xiao, Jiajia Yang, Xiangjing Su

“…However, its cybersecurity is susceptible to cyber-attacks such as false data injection attacks (FDIAs). The impacts of FDIAs on VPP-distribution cyber–physical power systems have not been thoroughly investigated in the literature. …”
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Estimation Model and Spatio-Temporal Analysis of Carbon Emissions from Energy Consumption with NPP-VIIRS-like Nighttime Light Images: A Case Study in the Pearl River Delta Urban Ag... by Mengru Song, Yanjun Wang, Yongshun Han, Yiye Ji

“…Firstly, in order to estimate the carbon emissions resulting from energy consumption, a fixed effects model was built using data on province energy consumption and NPP-VIIRS-like nighttime lighting data. …”
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Enhancing Large-Area DEM modeling of GF-7 stereo imagery: Integrating ICESat-2 data with Multi-characteristic constraint filtering and terrain matching correction by Kai Chen, Wen Dai, Fayuan Li, Sijin Li, Chun Wang

“…When implementing this filtering method, the established criteria should comprehensively consider both the quantity and the spatial distribution of control points to ensure optimal results. (3) Terrain Matching Correction on ICESat-2 data has effectively elevated the vertical accuracy of DEM modeling, particularly in regions with flat terrain. …”
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