Why Machine Learning Models Systematically Underestimate Extreme Values by Yuan-Sen Ting

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Bayesian hierarchical models for disease mapping applied to contagious pathologies. by Sylvain Coly, Myriam Garrido, David Abrial, Anne-Françoise Yao

“…In consequence, we test models including a Negative Binomial distribution (instead of the usual Poisson distribution) to deal with local overdispersion. …”
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A New Saturn Model of Ionospheric Transport and Electrodynamics (SMITE) by Omakshi Agiwal, Luke Moore, Carlos Martinis, Ingo Mueller-Wodarg, J.D. Huba

“…Preliminary results show that SMITE can reproduce latitudinal trends in the total electron content and altitudinal electron density distributions observed by the Cassini spacecraft. Model–data comparisons also show that diurnally variable low-latitude electrodynamics may intermittently be active at Saturn. …”
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Occlusion Vehicle Target Recognition Method Based on Component Model by Haorui Han, Hanshan Li

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Research on the evaporation pressure calculation model of LNG tank container. by Zhidong Yu, Bao Li

“…Based on the principle of mass conservation and energy conservation, the pressure calculation model of the horizontal low-temperature LNG tank was established and verified by an experiment. …”
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Impact of Thermal-Induced Turbulent Distribution Along FSO Link on Transmission of Photonically Generated mmW Signals in the Frequency Range 26–40 GHz by Luis Vallejo, Matej Komanec, Beatriz Ortega, Jan Bohata, Dong-Nhat Nguyen, Stanislav Zvanovec, Vicenc Almenar

“…Different thermal distributions along the FSO link have been implemented and Gamma-Gamma model has been employed to estimate the thermally induced turbulence. …”
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Mice with chimeric livers are an improved model for human lipoprotein metabolism. by Ewa C S Ellis, Willscott Edward Naugler, Paolo Parini, Lisa-Mari Mörk, Carl Jorns, Helen Zemack, Anita Lövgren Sandblom, Ingemar Björkhem, Bo-Göran Ericzon, Elizabeth M Wilson, Stephen C Strom, Markus Grompe

“…<h4>Objective</h4>Rodents are poor model for human hyperlipidemias because total cholesterol and low density lipoprotein levels are very low on a normal diet. …”
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Recent temporal trends in cesarean section rates in Brazil according to the Robson classification system by Rômulo Cesar Rezzo Pires, Maria do Carmo Leal, Antônio Augusto Moura da Silva

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Vegetation Growth Simulation of the Community Land Model in the Southwest China by Lihuan WANG, Yaqiong LÜ, Ziyi WANG

“…Under the background of global warming， the temperature has increased frequently in the southwest， and the ecosystem in the southwest is vulnerable and sensitive to climate change in the past few decades.The southwest region is an important carbon sink area in China.Monitoring and simulation of vegetation variations is of great significance for an in-depth understanding of the carbon cycle mechanism and promoting sustainable economic development.Leaf Area Index （LAI） and Gross Primary Productivity （GPP）， as indicators of vegetation health and ecosystem stability， can be used to quantify vegetation studies and characterize dynamic changes of vegetation.Vegetation dynamic Model is one of the important means to study vegetation growth and change.Community Land Model （CLM） is one of the earliest land model with the function of vegetation dynamic simulation， the most developed and widely used land model in the world.Model evaluation is an indispensable part of model development， which provides a basis for model development and improvement.This study uses the Community Land Model version5 （CLM5） to simulate and analyze the spatial and temporal variations of the leaf area index （LAI） and total primary productivity （GPP） in the southwest region across 2000 -2016， and compare it with multiple sets of remote sensing data to evaluate LAI and GPP simulations of CLM5 in the southwest.The results showed that CLM5 could well simulate the seasonal variation of LAI and GPP in southwest China， but overestimated LAI in growing season.The CLM5 can reasonably simulate LAI of temperate deciduous broadleaf shrubs， LAI， GPP of alpine C3 meadow and GPP of C3 meadow.CLM5 could capture the spatial distribution pattern of LAI and GPP in the southwest， which is decreasing from southeast to northwest， but CLM5 overestimates LAI in the whole southwest region， especially in the karst landform area of Guizhou.Contrary to the overestimation of LAI simulation， CLM5's overall simulation of GPP in Southwest China is low， especially in Yunnan province.In addition， CLM5 has a poor simulation of LAI and GPP trend in the southwest.Especially in most parts of Yunnan， remote sensing data mainly shows an upward trend， while CLM5 simulation shows a downward trend.In a word， CLM5 can simulate the seasonal change and spatial distribution of LAI and GPP in the southwest， but the simulation of the trend in some areas of Yunnan and Guizhou is poor， and more in-depth parametric schemes for the development of farmland in Sichuan Basin， Yunnan forests， and karst vegetation in Guizhou are needed to improve the simulation.…”
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A donor heart scoring model to predict transplant outcomes by E. A. Tenchurina, M. G. Minina

“…The presented donor heart scoring model accurately reflects the probability of using a donor’s heart for transplantation and creates conditions for optimal distribution of heart transplants, especially from high-risk donors.…”
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Modelling the ecological niches of reptiles in highly biodiverse protected areas by Abderrafea Elbahi, Michel Dugon, Widade Oubrou, Mohammed El Bekkay, Jamila Hermas, Colin Lawton

“…Species distribution modelling is a valuable tool for understanding and managing protected areas globally. …”
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A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

“…Based on this framework, we developed Model (i), which integrates SOC data with spatial-spectral resolution downscaling (SSD) image; Model (ii), which integrates SOC data, UAV image with spatial resolution downscaling (SD) image; and Model (iii), which integrates SOC data, UAV image with SSD image. …”
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Application of the Weibull Model to Statins for Triglyceride Management in Patients With Hyperlipidaemia by Natsuki Nakayama, Kuniharu Imai, Shiori Niwa, Yoshimi Moriwaki, Chika Oshima, Nozomi Furukawa, Makoto Hirai

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A Comparative Analysis of Option Pricing Models Under Jump Dynamics, Skewness, and Non-Normal Kurtosis by Hossein Nasrollahi, Mohammad Reza Haddadi

“…Conversely, the Kou model demonstrates superior accuracy under conditions of low skewness and kurtosis. …”
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Gestational weight gain at the national, regional, and income group levels based on 234 national household surveys from 70 low-income and middle-income countries. by Janaína Calu Costa, Dongqing Wang, Molin Wang, Enju Liu, Uttara Partap, Ilana Cliffer, Wafaie W Fawzi

“…Gestational weight gain (GWG) estimates enable the identification of populations of women at risk for adverse outcomes. We described GWG distribution in low- and middle-income countries (LMICs). …”
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Analysis of the relationship between rod cell membrane currents and the photoreceptor component of electroretinograms using a cable model by Shaocong Ou, Kouta Hori, Yuttamol Muangkram, Yukiko Himeno, Shuji Tachibanaki, Akira Amano

“…Future work will focus on refining the ion channel distribution, incorporating additional transport mechanisms, and validating the model using a broader range of experimental data to better replicate the complex electrophysiological phenomena of rod photoreceptor cells.…”
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C-Factor Estimate for Soil Loss Equations Using Transformation Function (Near, Gaussian and Symmetric Linear) and Remote Sensing Data by Saulo Folharini, Ana Maria Heuminski de Avila

“…The methodology was as follows: first the NDVI was calculated, then the resulting image was rescaled to the range 0 to 1, applying the Near, Gaussian and Symmetric Linear transformation functions, with value below threshold 1, value above threshold 0 and scale 1 in the Rescale by function tool. Among the three models presented, the Symmetric Linear model showed the best results for the distribution of C-factor values between the LU classes, while in the Gaussian model, the same value, 0.70, was recorded for the Pasture and Rocky Outcrop classes, and the average of the values was low: 0.22 (Near) and 0.31 (Gaussian).…”
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An Empirical Analysis of Mental Health and Social Support in the Elderly of Different Age Groups: A Survey and Analysis of Data from China by Huiyuan Qiang, Lin Liu

“…The results showed that the overall mental health status of the elderly in Nanjing city was more optimistic, and the nonempty nesters with male gender, higher education level, and partners were generally healthier; objective and subjective support had significant positive effects on the mental health of middle and high aged elderly, while the utilization of support had more significant effects on the health of low-aged elderly. This paper proposes that government departments should develop a localized elderly support system and social support policies adapted to the actual situation in Nanjing according to the quantitative distribution and demand characteristics of the mental health of elderly people in different age groups. …”
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Assessing the factors associated with pedestrian injury in motorcycle-pedestrian crashes in Ghana by Emmanuel Kofi Adanu, Robert Ambunda, William Agyemang, Moses Tefe, Steven Jones

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Pseudorapidity Distribution of Charged Particles and Square Speed of Sound Parameter in p-p or p-p- Collisions over an Energy Range from 0.053 to 7 TeV by Ya-Qin Gao, Tian Tian, Li-Na Gao, Fu-Hu Liu

“…The results calculated by the model are in agreement with the experimental data of the UA5, PHOBOS, UA1, P238, CDF, ALICE, and CMS Collaborations which present orderly from low to high energies. …”
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