Assessing Digital Performance of Public Services in the EU: E-Governance and Technology Integration by Oana Ramona Lobonț, Cristina Criste, Alexandra Ioana Vintilă, Andreea Florentina Crăciun, Nicoleta Claudia Moldovan

“…To evaluate the digital performance of the European Union regions, the analysis employs the following methods: (i) Principal Component Analysis to construct a composite Institutional Quality Index based on governance indicators, (ii) Gaussian graphical models to assess the relationships between digital intensity, institutional quality, and e-government highlighting the interconnections between variables, (iii) Data Envelopment Analysis to measure the relative efficiency of public service delivery, and (iv) cluster dendrograms to identify the clusters of countries with similar performance levels and challenges. …”
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Spatial distribution and habitat preference of sarcosaprophagus Calliphoridae (Diptera) in the Brazilian Northeast, with notes on the utilization of different animal baits by ANA BEATRIZ L. DE ASSIS, TACIANO M. BARBOSA, RICARDO JOSÉ P. SOUZA E GUIMARÃES, RENATA A. GAMA

“…On the other hand, native taxa have a more restricted distribution, except for the species Cochliomyia macellaria (Fabricius, 1775). The variables that most influenced the models were precipitation and wind. …”
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Prediction cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care dataResearch in context by Dan Fredman Stein, Michael J. Carter, John Booth, Mark J. Peters, Samiran Ray, Neil J. Sebire, Payam Barnaghi, Mario Cortina-Borja

“…We compared model compositions, including without trend, variability, and frequency of input to smaller models. …”
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Evaluating the impacts of xylo-oligosaccharides on growth performance of broiler chickens: A meta-analytical study by M. Naeem, Dianna Bourassa, Samuel Rochell, Mike Bedford

“…These findings underscore the potential of XOS to optimize broiler productivity and sustainability. However, the variability in efficacy due to dietary composition, XOS purity, and environmental conditions warrants further investigation.…”
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Influence of the moisture and ash content in flue gases on the performance of adsorption processes using activated carbons to capture the CO2 for reuse in greenhouses by R. López Pastor, M.G. Pinna-Hernández, J.A. Sánchez Molina, F.G. Acién Fernández

“…This model was used to optimize the combustion gas variables and thus their influence on the final CO2 adsorption/desorption capacity. …”
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Longitudinal Reciprocal Effects of Physical Exercise, Executive Function, and Subjective Well-Being: A Three-Wave Random-Intercept Cross-Lagged Panel Model in Chinese Minority Coll... by Xueyan Bai, Lin Yang

“…Data were analyzed using a random-intercept cross-lagged panel model (RI-CLPM), and multigroup analysis (MGA) was used to examine the moderating effects of gender, family ethnic composition, and residential area. …”
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The Characteristics and Driving Factors of Soil Salinisation in the Irrigated Area on the Southern Bank of the Yellow River in Inner Mongolia: A Assessment of the Donghaixin Irriga... by Ziyuan Qin, Tangzhe Nie, Ying Wang, Hexiang Zheng, Changfu Tong, Jun Wang, Rongyang Wang, Hongfei Hou

“…This study examines the spatial distribution and determinants of soil salinisation through macro-environmental variables and micro-ion composition, integrating regression models and groundwater ion characteristics to elucidate the patterns and causes of soil salinisation systematically. …”
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Comparison of the Methods for Predicting the Critical Temperature and Critical Pressure of Petroleum Fractions and Individual Hydrocarbons by Evdokia Sotirova, Svetlin Vasilev, Dicho Stratiev, Ivelina Shishkova, Sotir Sotirov, Radoslava Nikolova, Anife Veli, Veselina Bureva, Krassimir Atanassov, Vanya Georgieva, Denis Stratiev, Svetoslav Nenov

“…Our study aims to provide robust predictive models that can accurately estimate critical properties across diverse petroleum fractions and compositions.…”
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Cardiometabolic index and mortality risks: elevated cancer and reduced cardiovascular mortality risk in a large cohort by Junjie Wang, Li Xiao, Zhou Li

“…The Cox frailty model and average marginal effects were employed to evaluate the contribution of CMI to all-cause and specific mortality collectively. …”
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Behavioral determinants of dental and facial esthetic self-perception among an academic population: a cross-sectional study by Ana Cristina Mafla, Mauricio Herrera-López, Juliana Estefanía Salas-Burbano, Camilo Andrés Guerrero-Dávila, Diana Paola Insuasty-Fuertes, Juan Sebastián Bustos-López, Falk Schwendicke

“…Structural Equation Modeling (SEM) was performed with robust unweighted least squares estimation method to assess the mediating effects of the behavioral variables on dental and facial esthetics. …”
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Clinical differential factors in patients with hereditary transthyretin amyloidosis with Val142Ile and Ser43Asn mutations by Sandra Milena Castellar-Leones, Edicson Ruiz-Ospina, Jorge Diaz-Ruiz, Cristian Correa-Arrieta, Xiomara Ruiz-Cortés, Diana Luzuriaga-Carpio, Dario Zambrano-Vera, Jeanneth Cedeño-Quincha, Luis Guerrero-Cepeda, Daniel César-Chávez, Fernando Ortiz-Corredor

“…The final random forest model identified the NHP test, Norfolk QOL-DN score, and CSA of the median and ulnar nerves as key discriminating variables. …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…Various transfer and training functions were applied with the multilayer perceptron employing the feed-forward-back propagation approach when building the ANN models. Also, for the first time in the RSW field, an estimation of the relative importance of the RSW variables regarding the predicted shear force is presented in the current study. …”
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The influence of ocean heat transport in the Barents Sea on the regional sea ice and the atmospheric static stability by M. G. Akperov, V. A. Semenov, I. I. Mokhov, M. R. Parfenova, M. A. Dembitskaya, D. D. Bokuchava, A. Rinke, W. Dorn

“…The influence of the oceanic heat inflow into the Barents Sea on the sea ice concentration and atmospheric characteristics, including the atmospheric static stability during winter months, is investigated on the basis of the results of ensemble simulations with the regional climate model HIRHAM/NAOSIM for the Arctic. The static stability of the atmosphere is the important indicator of the spatial and temporal variability of polar mesocyclones in the Arctic region. …”
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Assessing the potential of multi-seasonal Sentinel-2 satellite imagery combined with airborne LiDAR for urban tree species identification by Yunfang Jiang, Xianghua Li, Lixian Peng, Chunjing Li, Tao Song

“…Abstract Accurate information on urban tree species composition is critical for urban green space ecosystem management. …”
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Comparison between plant fossil assemblages and simulated biomes across the Permian-Triassic Boundary by Charline Ragon, Christian Vérard, Jérôme Kasparian, Hendrik Nowak, Hendrik Nowak, Evelyn Kustatscher, Maura Brunetti

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Clarifying the Impact of Electrode Material Heterogeneity on the Thermal Runaway Characteristics of Lithium‐Ion Batteries by Chenran Du, Kun Yan, Xueling Shen, Yi Cui, Xiaobing Li, Jingjing Li, Ran Xu, Xiaoli Ma, Qian Huang, Yanyan Fang, Hang Zhang

“…The model is applied to a variable analysis in order to investigate how the varying heterogeneity of the cathode's porosity impacts the cell during overcharging thermal runaway behavior. …”
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How Do Emission Factors Contribute to the Uncertainty in Biomass Burning Emissions in the Amazon and Cerrado? by Guilherme Mataveli, Matthew W. Jones, Gabriel Pereira, Saulo R. Freitas, Valter Oliveira, Bruno Silva Oliveira, Luiz E. O. C. Aragão

“…This study evaluates PM_2.5 emission sensitivity to EFs variability in Brazil’s Amazon and Cerrado biomes over 2002–2023 using the 3BEM_FRP model implemented in the PREP-CHEM-SRC tool. …”
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Cropping intensity mapping in Sentinel-2 and Landsat-8/9 remote sensing data using temporal transfer of a stacked ensemble machine learning model within google earth engine by Marziyeh Majnoun Hosseini, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, Ebrahim Ghaderpour

“…This article aimed to map Cropping Intensity Patterns (CIPs) in the southwest region of Iran using Google Earth Engine and monthly composites of Sentinel-2 and Landsat-8/9 data. To detect CIPs with high inter- and intra-class variability of crops, a heterogeneous Stack ensemble of machine learning model was developed. …”
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Variations in Hawaiian Plume Flux Controlled by Ancient Mantle Depletion by Paul Béguelin, Andreas Stracke, Maxim D. Ballmer, Shichun Huang, Michael Willig, Michael Bizimis

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Parametric analysis of straw wad destroyer by Yury Ivanovich Yermolyev, Artem Alexandrovich Doroshenko, Igor Аlexandrovich Ivashchenko, Roman Evgenyevich Fomenko

“…The research subject is an analytical modeling and multivariate analysis of the straw wad destruction by the cutting cylinder with radial fingers and a horizontal axis of rotation. …”
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