Advancing Precision Medicine for Hypertensive Nephropathy: A Novel Prognostic Model Incorporating Pathological Indicators by Yunlong Qin, Jin Zhao, Yan Xing, Zixian Yu, Panpan Liu, Yuwei Wang, Anjing Wang, Yueqing Hui, Wei Zhao, Mei Han, Meng Liu, Xiaoxuan Ning, Shiren Sun

“…Results: A total of 225 patients were included in this study, with 72 (32.0%) patients experiencing combined events after a median follow-up of 29.9 (16.6, 52.1) months. Six eligible variables (overall chronicity grade of renal pathology, eGFR, high-density lipoprotein cholesterol, hematocrit, monocyte, and stroke volume) were selected from clinical data and introduced into the RSF model. …”
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Neuroprotective effects of essential oils in animal models of Alzheimer’s and Parkinson’s disease: a systematic review by Adrielle do Espírito Santos Macedo, Thayná Moraes Ferreira, Lane Viana Krejcová, Fernando Allan de Farias Rocha, Joyce Kelly R. da Silva, Laís Resque Russo Pedrosa, Bruno Duarte Gomes

“…Studies primarily utilized Wistar rats (46.15%) and various mouse strains, employing diverse disease induction methods including β-amyloid administration (30.7% of AD models), rotenone (7.7% of PD models), and 6-hydroxydopamine (7.7% of PD models). …”
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Macroeconomic Dynamics in Pakistan: A VAR Model Analysis of GDP, Inflation, Imports, Exports, and Interest Rates by Waseem Khoso, Muhammad Rafique Doudpoto

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Retrofitting Transportation Network Using a Fuzzy Random Multiobjective Bilevel Model to Hedge against Seismic Risk by Lu Gan, Jiuping Xu

“…After establishing the model, a fuzzy random variable transformation approach and fuzzy variable approximation decomposition are used to deal with the uncertainty. …”
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Influence of Guluronic and Mannuronic Groups in Sodium Alginate Blends with Silk Fibroin: Phase Equilibrium and Thermodynamic Modeling by Laise Maia Lopes, Mariana Agostini de Moraes, Marisa Masumi Beppu

“…The influence of the proportion between mannuronic and guluronic acids on SA composition was investigated. After phase separation, two phases were identified, and the equilibrium data were fitted on three different thermodynamic models: Flory–Huggins, non-random two-liquids, and universal quasichemical. …”
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The impact of Fed rate cut on CNY exchange rate: Empirical analysis based on vector autoregressive model by Wang Xulin

“…The core variables are sorted out, global macroeconomic data from 2015 to 2024 are integrated, and a VAR model including CPI, Fed interest rate, EX and M2 is constructed. …”
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Calcium coordination polymer containing dimethylphosphate ligands and exhibiting nucleating properties towards α and Β crystal polymorphs of isotactic polypropylene by Maciej Dębowski, Mateusz Kullas, Krystyna Czaja, Beata Sacher-Majewska, Marcin Bączek, Maciej Dranka, Andrzej Ostrowski, Zbigniew Florjańczyk

“…Mechanical tests proved that the CaDMP-containing composites exhibited better ductility and impact strength than neat iPP.…”
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Modeling the Impact of Landscape Dynamics on Soil Erosion in Eastern DR Congo: Implications for Sustainable Land Management by Jean Nacishali Nteranya, Andrew Kiplagat, Elias K. Ucakuwun, Chantal Kabonyi Nzabandora

“…The landscape metrics, which significantly influenced the erosion dynamics with composition indices, collectively explained 60.9%, while the landscape structure metrics explained 34.89% of annual soil erosion rate variability in the best fit developed models. …”
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Analyzing and Predicting the Agronomic Effectiveness of Fertilizers Derived from Food Waste Using Data-Driven Models by Ksawery Kuligowski, Quoc Ba Tran, Chinh Chien Nguyen, Piotr Kaczyński, Izabela Konkol, Lesław Świerczek, Adam Cenian, Xuan Cuong Nguyen

“…Plant yield and IENU exhibited substantial variability, averaging 2268 ± 3099 kg/ha and 32.3 ± 92.5 kg N/ha, respectively. …”
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FOREIGN EXCHANGE RATE PREDICTION OF INDONESIA'S LARGEST TRADING PARTNER BASED ON VECTOR ERROR CORRECTION MODEL by M. Fariz Fadillah Mardianto, Muhammad Fikry Al Farizi, Made Riyo Ary Permana, Alfian Iqbal Zah, Elly Pusporani

“…In this study, the Vector Error Correction Model (VECM) was used to predict the foreign exchange rate of Indonesia's largest trading partners. …”
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MODEL OF GEOMEDIA CONTAINING DEFECTS: COLLECTIVE EFFECTS OF DEFECTS EVOLUTION DURING FORMATION OF POTENTIAL EARTHQUAKE FOCI by I. A. Panteleev, O. A. Plekhov, O. B. Naimark

“…The authors introduce ‘tensor structural’ variables associated with two specific types of defects, fractures and localized shear faults (Fig. 1). …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Optimization of Biodiesel Yield Synthesized by Calcium Oxide Nano-catalyst Trans-esterified Jatropha curcas Oil by O. Eyide, W. C. Ulakpa, P. I. Nwabuokei

“…Hence, the objective of this paper was to optimize biodiesel yield synthesized by calcium oxide (CaO) nano-catalyst trans-esterified Jatropha curcas oil (JCO) using Response Surface Methodology (RSM) through central composite design. These runs evaluated four process variables: the methanol-to-oil molar ratio (from 1:4 to 12:1), catalyst concentration (from 0.5 to 2.5 wt. %), reaction temperature (from 35 to 75 °C), and reaction time (from 40 to 80 minutes). …”
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Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models by Mohammad Hossein Pishvaei, Shabnam Noroozpour, Touraj Sabzevari, Mostafa Akbari Kheirabadi, Andrea Petroselli

“…Infiltration, the process by which water enters the soil, is intricately intertwined with the attributes of the catchment, including soil composition and vegetation cover, both of which exhibit temporal and spatial variability. …”
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Investigating the strength performance of 3D printed fiber-reinforced concrete using applicable predictive models by Lu Qianyang, Mei Song, AlAteah Ali H., Alsubeai Ali, Eldin Mohammad Mohie, Ahmed Hafez Mohamed

“…Making changes to the mixture composition of 3D-printed fiber-reinforced concrete (3DP-FRC) involves a lot of trial and error due to the many interdependent variables. …”
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Building a Data Store with the Dynamic Structure by Yu. N. Artamonov

“…The revealed contradiction is related to the temporality of the values of individual data attributes, the variability of the composition of these attributes, and structure of connections between them. …”
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The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models by Patrick Burns, Zaneta Kaszta, Samuel A. Cushman, Samuel A. Cushman, Jedediah F. Brodie, Jedediah F. Brodie, Christopher R. Hakkenberg, Patrick Jantz, Mairin Deith, Matthew Scott Luskin, James G. C. Ball, Jayasilan Mohd-Azlan, David F. R. P. Burslem, Susan M. Cheyne, Susan M. Cheyne, Iding Haidir, Iding Haidir, Andrew James Hearn, Eleanor Slade, Peter J. Williams, David W. Macdonald, Scott J. Goetz

“…For the SDM analyses, we tested several combinations of predictor sets and found that when considering a large pool of multiscale predictors, the exact composition, and whether GEDI Fusion predictors were included, didn’t have a large impact on generalized linear modeling (GLM) and Random Forest (RF) model performance. …”
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Empirical Data-Driven Linear Model of a Swimming Robot Using the Complex Delay-Embedding DMD Technique by Mostafa Sayahkarajy, Hartmut Witte

“…The collected data were analyzed offline, proposing a new complex variable delay-embedding dynamic mode decomposition (CDE DMD) algorithm that combines complex state filtering and time embedding to extract a linear approximate model. …”
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Global, regional, and national trends in drug use disorder mortality rates across 73 countries from 1990 to 2021, with projections up to 2040: a global time-series analysis and mod... by Soeun Kim, Hayeon Lee, Selin Woo, Hyeri Lee, Jaeyu Park, Tae Kim, Guillaume Fond, Laurent Boyer, Masoud Rahmati, Lee Smith, Guillermo F. López Sánchez, Elena Dragioti, Christa J. Nehs, Jinseok Lee, Hyeon Jin Kim, Jiseung Kang, Dong Keon Yon

“…Methods: In this time-series analysis and modelling study, we investigated the global trends in DUD mortality rates from 1990 to 2021 using the WHO Mortality Database and forecasted future trends through 2040. …”
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