Modeling the distribution of the invasive snail Physella acuta in China: Implications for ecological and economic impact by Yingxuan Yin, Anyuan Xu, Xiaowen Pan, Qing He, Aoxun Wu, Linya Huang, Yinjuan Wu, Xuerong Li

“…Gaining insight into their geographical spread in China under current and future climate scenarios is crucial for effective monitoring and control strategies against this invasive species. Methods: Global distribution data of P. acuta were collected and screened using “ENMtool”; environmental variables were screened based on contribution of environmental variables, jackknife test and variable correlation analysis using MaxEnt 3.4.1 and GraphPad Prism 8; “kuenm” package in R 4.0.4 software was used to calculate and adjust model parameters; the optimized MaxEnt model was used to predict the potential distribution range of P. acuta in China under different climate scenarios; ArcGIS 10.7 was used to process and visualize the results. …”
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Distribution changes of Ormosia microphylla under different climatic scenarios by Pan Huang, Yaqin Xiao, Yurong Sun, Huihua Huang, Zhiwei Gong, Yingfang Zhu

“…Abstract Ormosia microphylla is a nationally prioritized wild plant in China but effects of likely future climate change have been poorly studied. Here distribution data of O. microphylla and environmental data with an optimized MaxEnt maximum entropy model were used to predict potentially suitable areas under current and future climate scenarios. …”
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DMRS: Long-tailed remote sensing recognition via semantic-aware mixing and diversity experts by Yifan Wang, Fan Zhang, Qihao Zhao, Wei Hu, Fei Ma

“…DMRS introduces two key innovations: (1) multi-low-rank adaptation diversity experts, which achieves balanced classification by specializing different experts for different regions of the class distribution, and (2) a semantic-aware mixing strategy, which incorporates textual semantic information typically unused in traditional classification to enhance perception across diverse remote sensing scenes. …”
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Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model. by Alexander P Browning, Rebecca M Crossley, Chiara Villa, Philip K Maini, Adrianne L Jenner, Tyler Cassidy, Sara Hamis

“…To address this, we develop a stochastic individual-based model of plastic phenotype adaptation through a continuously-structured phenotype space in low-cell-count proliferation assays. …”
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Consistent Approach to Predictive Modeling and Countermeasure Determination by Crash Type for Low-Volume Roads by Francesca Russo, Salvatore Antonio Biancardo, Gianluca Dell’Acqua

“…The object of this research is to develop one and only injury crash rate prediction model differentiable for three main crash types (head-on/side collisions, rear-end collisions, single-vehicle run-off-road crashes) observed on the selected Italian two-lane rural roads in low-volume conditions. …”
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Spectral estimation for detecting low-dimensional structure in networks using arbitrary null models. by Mark D Humphries, Javier A Caballero, Mat Evans, Silvia Maggi, Abhinav Singh

“…We use generative models to estimate the expected eigenvalue distribution under a specified null model, and then detect where the data network's eigenspectra exceed the estimated bounds. …”
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Self-Diagnostic Advanced Metering Infrastructure Based on Power-Line Communication: A Study Case in Spanish Low-Voltage Distribution Networks by Matías Ariel Kippke Salomón, José Manuel Carou Álvarez, Lucía Suárez Ramón, Pablo Arboleya

“…The transformation of low-voltage distribution grids toward decentralized, user-centric models has increased the need for advanced metering infrastructures capable of ensuring both visibility and control. …”
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Distributed simulation of fully coupled hydrological-hydrodynamic model for predicting rainfall-induced runoff/flood in small watersheds by Yulong Zhu, Yu Gao, Bonan Wang, Binh T. Nguyen, Yafen Zhang, Baolin Xue

“…Study Focus: Extreme rainfall leads to frequent flash flood events. At present, the distributed hydrological model and the two-dimensional hydrodynamic model that can realize distributed runoff simulation have some restrictive factors such as low computational efficiency and poor computational stability. …”
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Voltage mapping model based short-circuit fault location method in distribution network with DG by Zhihua Zhang, Duhao Song, Hongjie Wu, Yuxiao Xing, Yongtao Tian, Bingyin Xu, Yongliang Liang

“…With the rapid development of smart grid, low-voltage detection data is becoming increasingly abundant. …”
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Modelling of the water distribution system and determination of losses: the case of Halaba Kulito town, Central Ethiopia by Semaria Moga Lencha, Tesfaye Achiso Babore

“…The Water Geospatial Engineering Modeling System (WaterGEMS v8i) model was used for the hydraulic analysis of the distribution network by means of the data on the water distribution network and the master plan map of the Town. …”
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A Hybrid Data and Mechanism Model-driven Digital Twin Modelling Approach for Novel Traction Power Systems by Xin Li, Yingzhi Liu

“…Abstract Given the demand for real-time operation state simulation technology for integrating significant amounts of renewable energy into the traction power systems (TPSS), and considering the substantial volatility and intermittence of renewable energy (photovoltaic) output, the accuracy and real-time performance of traditional mechanism simulation models are low. This paper proposes a new digital twin (DT) modeling method for the TPSS, driven by a combination of data and mechanism models. …”
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Multiplexes in India: Building Castles in a Low-income Market of Uneven Geographies by Sreeram Gopalkrishnan

“…The pandemic of 2020 drastically changed the fragile dynamics of the already-struggling film distribution and screening sector. Over the years, the Indian film business has staked its future on a business model forged around the “Mall-Multiplex” complex in a country that is mostly low-income or bottom of the pyramid (BoP). …”
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A Distribution Model for Shared Parking in Residential Zones that Considers the Utilization Rate and the Walking Distance by Wenhui Zhang, Fan Gao, Shurui Sun, Qiuying Yu, Jinjun Tang, Bohang Liu

“…The particle swarm optimization (PSO) algorithm is used to solve this model. We collected parking demand and supply data in a central business district (CBD) of Harbin in China and evaluated the feasibility of the model. …”
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Deep neural network based distribution system state estimation using hyperparameter optimization by Gergő Békési, Lilla Barancsuk, Bálint Hartmann

“…The study uses data from four real-life low-voltage supply areas in Hungary, which were modeled to address the challenges in obtaining network information. …”
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Robust Traffic Signal Retiming Based on Queue Service Time Estimation Using Low-Penetration Connected Vehicle Data by Chengchuan An, Weihua Zhang, Yinpu Wang, Siping Ke, Jingxin Xia

“…It is shown that the proposed QST estimation model is reliable to use under a penetration rate as low as 0.05 and can effectively estimate the actual distribution in both under- and oversaturation conditions. …”
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The impacts of roof distributed photovoltaic on rural residents’ carbon emission reduction and power consumption by Chai Qiangfei, Yang Meirong, Chen Xintong

“…Based on a total of 321 rural residents’ electricity consumption panel data containing 28 periods from January 2020 to April 2022, this paper uses a difference-in-difference model to quantitatively analyze the carbon emission reduction effect and changes in rural residents’ electricity consumption behavior before and after the installation of distributed PV. …”
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Experimental dataset of fluid flow and heat transfer in a shallow packed bed at low Reynolds numbersMendeley Data by Anika Weber, Sebastian Schürg, Timo Roeder, Johannes Grobbel, Martina Neises-von Puttkamer, Christian Sattler

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Species Distribution Model-based Habitat Change Projections of the Kelp Species, Ecklonia cava under SSP Scenarios by Sun Kyeong Choi, Seonggil Go, Sang Rul Park

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The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data by Zexun Li, Lihui Hu, Alin Lin, Jiarui Chen, Yue Xu

“…Through the application of the Coupling Coordination Degree Model and the Mediation Effect Model, the study specifically focuses on the efficiency and fairness of urban green space distribution. …”
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Climate change drives range contraction and shapes species distribution in an alpine passerine: Caution required when comparing atlas data by Sandro López-Ramírez, Antonio-Román Muñoz

“…Cool summer temperatures and low humidity, as indicated by the Topographic Wetness Index (TWI), were identified as the most influential environmental factors affecting the species' breeding distribution, based on distribution data from both the III atlas and eBird, analyzed through a presence-absence distribution model. …”
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