Modeling the impact of climate change on corvus species distribution in Somaliland: Bayesian spatial point process approach for conservation by Abdisalam Hassan Muse, Maysaa Elmahi Abd Elwahab

“…IntroductionThis study aimed to predict the spatial distribution of Corvus edithae (Somali crow) in Somaliland and explore its relationship with climatic covariates.MethodsWe applied a log-Gaussian Cox process model, utilizing the R-INLA package. …”
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The global distribution and risk prediction of Anaplasmataceae species: a systematic review and geospatial modelling analysisResearch in context by Xiao-Bin Huang, Tian Tang, Jin-Jin Chen, Yuan-Yuan Zhang, Chen-Long Lv, Qiang Xu, Guo-Lin Wang, Ying Zhu, Yue-Hong Wei, Simon I. Hay, Li-Qun Fang, Wei Liu

“…Interpretation: The widespread distribution of Anaplasmataceae species emphasizes the need to enhance identification, surveillance, and diagnosis efforts in high-risk areas, particularly within low-income regions. …”
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Evaluation of the flow distribution system influence on mixing efficiency in a fluidized bed for low-size Geldart B particles: A case study using CFD by Diana I. González-Arango, Bernardo Herrera

“…To increase this efficiency, fluidized bed reactors promote interaction between both phases, which depends on the velocity and the gas phase distribution system. The latter must be compatible with the design of the geometry and size of the solid oxygen carrier particles (SOC), which are mainly in the low-size Geldart B range. …”
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Distribution law of 3D anti-drilling characteristic parameters in Shunbei block by JIN Yonghong, LI Shuanggui, CHEN Shuai, CHEN Xiuping, LIU Jingtao, YU Yang, SHI Xiangchao

“…A detailed analysis based on the model revealed the longitudinal distribution characteristics of anti-drilling characteristic parameters from the Neogene to Ordovician and the lateral distribution characteristics of Permian strata. …”
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Distribution patterns of gross primary production of mangrove ecosystems in Hainan Island and their driving mechanisms by ZHENG Yinqi1,2,3, SHI Xian3,4, CHEN Quan3,5, WU Lan3,5, CUI Wei6, WANG Wenmei1,2, SUN Zhongyi3,5*, TAN Ke7*

“…In this paper, the GPP of mangrove ecosystems in Hainan Island from 2016 to 2020 were estimated based on the mangrove vegetation photosynthesis-light use efficiency (MVP-LUE) model using Sentinel-2 imagery and environmental data, and the spatiotemporal distribution pattern of GPP and its driving mechanism were explored. …”
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Distributed Photovoltaic Ultra-short-term Power Forecasting Method Based on Temporal Analog Matching Approach and Transformer Network Modeling by Pengwei YANG, Liping ZHAO, Junfa CHEN, Zhao ZHEN, Fei WANG, Liming LI

“…To address the challenge of low prediction accuracy of distributed photovoltaic (PV) power generation under sudden weather change scenarios due to the lack of meteorological data, this paper proposes a distributed PV ultra-short-term power prediction method based on temporal analog matching approach (TAMA) and Transformer network modeling. …”
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Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…With the development of cloud computing and big data, traditional local data warehouses are difficult to expand and have low data processing efficiency, As a result, the data warehouse of cloud edge architecture comes into being. …”
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Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…With the development of cloud computing and big data, traditional local data warehouses are difficult to expand and have low data processing efficiency, As a result, the data warehouse of cloud edge architecture comes into being. …”
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Pain when it “counts”: hurdle analysis of clinical pain ratings improves data model performance by Beth B. Hogans, Bernadette C. Siaton, John D. Sorkin

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Predicted distribution of Metaparasitylenchus hypothenemi (Tylenchida: Allantonematidae), parasite of the coffee berry borer by Simota-Ruiz M., Castillo A., Cisneros-Hernández J., Carmona-Castro O.

“…In Soconusco, the presence of this parasite is directly related to annual precipitation, especially in the areas with the highest annual rainfall (4000 – 4700 mm/year). Four species distribution models were generated for the Neotropical region with environmental variables for sites with parasite presence data, predicting a range of possible distribution with a high probability of occurrence in southeastern Mexico and southwestern Guatemala and a low probability in areas of Central and South America. …”
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The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China by Zhe Mo, Manjin Xu, Yunfeng Xu, Luyang He, Huixia Niu, Feiyun Zhu, Xu Cao, Lizhi Wu, Xueqing Li, Gaofeng Cai

“…Quasi-Poisson generalized linear regression with a distributed lag non-linear model (DLNM) was applied to estimate the associations between temperature variability and IHD deaths. …”
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Climate change and ocular health: temperature-pollution synergies amplify uveitis burden by Yue Tan, Yue Tan, Yue Tan, Yue Yin, Yue Yin, Yue Yin, Boya Lei, Boya Lei, Boya Lei, Min Zhou, Min Zhou, Min Zhou, Zhengyue Gu, Jingjing You, Tong Lin, Tong Lin, Tong Lin, Lan Gong, Lan Gong, Lan Gong

“…A distributed lag non-linear model (DLNM) was used to assess the associations between temperature and outpatient visits, adjusting for humidity, pollutants, and temporal factors.ResultsA non-linear relationship exists between temperature and uveitis visits. …”
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Population modeling with machine learning can enhance measures of mental health - Open-data replication by Ty Easley, Ruiqi Chen, Kayla Hannon, Rosie Dutt, Janine Bijsterbosch

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Bathymetry modelling of the eastern Tendrivska Bay (Ukraine) using Sentinel-2 remote sensing data by Yurii Moskalenko

“…The aim of the study was to create a bathymetric model of the eastern Tendrivska Bay based on Sentinel-2 remote sensing data. …”
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A novel spatial heteroscedastic generalized additive distributed lag model for the spatiotemporal relation between PM2.5and cardiovascular hospitalization by Ali Hadianfar, Helmut Küchenhoff, Shahab MohammadEbrahimi, Azadeh Saki

“…This study seeks to identify spatial heteroscedasticity in the relation between PM2.5 and CVH by developing a Generalized Additive Distributed Lag (GADL) model. Data on hospitalization due to cardiovascular disease were collected from the Hospital Information System (HIS) of Mashhad University of Medical Science from 2017 to 2020. …”
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Modeling consequences of spatial closures for offshore energy: Loss of fishing grounds and fishery‐independent data by M. Campbell, J. F. Samhouri, J. W. White

“…This produced two effects in the model: initial loss of fishery yield due to the closure and reductions in fishing effort when the loss of data triggered precautionary measures in the harvest control rule. …”
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Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data by Z. Wang, Z. Wang, L. Bugliaro, K. Gierens, M. I. Hegglin, M. I. Hegglin, S. Rohs, A. Petzold, S. Kaufmann, C. Voigt, C. Voigt

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An integrated hydrological model to simulate terrestrial water storage in a large river basin: Evaluation using GRACE data by Sai Srinivas Gorugantula, BVN P Kambhammettu

“…The coupled SWAT-MODFLOW is used to estimate terrestrial water storage anomalies (TWSA) at sub-basin level and validated with downscaled GRACE data at 0.25° resolution. Model performance is good for the lower reaches (NSE >0.3; R >0.65) with high flow exchanges and is low for the upper reaches due to underestimation of individual fluxes (NSE <0.3; R <0.65). …”
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Deuteron gravitational form factors, generalized parton distributions, and charge density in the framework of the soft-wall AdS/QCD model by Shahin Mamedov, Minaya Allahverdiyeva, Narmin Akbarova

“…Abstract We study gravitational deuteron form factors (GFF) and generalized parton distributions (GPDs) within the soft-wall AdS/QCD model, where deuteron is described by the bulk vector field with twist $$\tau $$ τ   $$=$$ =  6. …”
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Addressing human–elephant conflicts in Taita Taveta County, Kenya: Integrating species distribution modeling into targeted conservation strategies by Tino Johansson, Martha Munyao, Petri K.E. Pellikka, Sakari Äärilä, Patrick Omondi, Mika Siljander

“…This study assesses multiple distribution model algorithms and ensemble models, using Kenya Wildlife Service incident data and ten geospatial variables, to predict human–elephant conflicts in the county. …”
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