The need for advancing algal bloom forecasting using remote sensing and modeling: Progress and future directions by Cassia B. Caballero, Vitor S. Martins, Rejane S. Paulino, Elliott Butler, Eric Sparks, Thainara M. Lima, Evlyn M.L.M. Novo

“…As these blooms increase in frequency and size, there is an increasing need for forecasting models to accurately predict their occurrence and progression. …”
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Paradoxical Effect of Myosteatosis on the Immune Checkpoint Inhibitor Response in Metastatic Renal Cell Carcinoma by Jiwoong Yu, Hyeonju Ahn, Kyung Yeon Han, Wan Song, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong Il Seo, Seong Soo Jeon, Se Hoon Park, Woong‐Yang Park, Ji Hyun Lee, Minyong Kang

“…Altered checkpoint expression and immune cell composition associated with myosteatosis may contribute to these differential responses.…”
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HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts by C. H. Whaley, T. Butler, J. A. Adame, R. Ambulkar, R. Ambulkar, S. R. Arnold, R. R. Buchholz, B. Gaubert, D. S. Hamilton, M. Huang, H. Hung, J. W. Kaiser, J. W. Kaminski, C. Knote, G. Koren, J.-L. Kouassi, M. Lin, T. Liu, J. Ma, K. Manomaiphiboon, E. Bergas Masso, E. Bergas Masso, J. L. McCarty, M. Mertens, M. Parrington, H. Peiro, P. Saxena, S. Sonwani, V. Surapipith, D. Y. T. Tan, D. Y. T. Tan, W. Tang, V. Tanpipat, K. Tsigaridis, K. Tsigaridis, C. Wiedinmyer, O. Wild, Y. Xie, P. Zuidema

“…This paper outlines a multi-model, multi-pollutant, multi-regional study to improve the understanding of the uncertainties and variability in fire atmospheric science, models, and fires' impacts, in addition to providing quantitative estimates of the air pollution and radiative impacts of biomass burning. …”
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Effect of Different Luting Methods on the Microtensile Bond Strength of CAD/CAM Resin Blocks by Alexandra Vinagre, Carla Delgado, Gabriela Almeida, Ana Messias, João Carlos Ramos

“…The surfaces were examined with optical microscopy to determine the failure mode and the bonding interface was assessed with scanning electron microscope (SEM) analysis. …”
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Transient well-test model of a slanted well in a heterogeneous multi-zonal reservoir by Renshi Nie, Letian Zhang, Yu Xiong, Changjian Gan, Tao Zhang, Shanshan Lu, Yangyang Chen, Jie Zhan

“…We took the bi-zonal composite model as an example to carry out concrete analysis. …”
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Ecological and climatic transferability of airborne lidar-driven aboveground biomass models in Piñon-Juniper woodlands by Jessie F. Eastburn, Michael J. Campbell, Philip E. Dennison, William Rl Anderegg, Kevin J. Barrett, Patrick A. Fekety, Samuel W. Flake, David W. Huffman, Steven A. Kannenberg, Kelly L. Kerr, Andrew J. Sánchez Meador, Jody C. Vogeler

“…Using a large database of 497 field plots compiled from eight sources and a random forest modeling framework, transferability between predictive models was evaluated by grouping field reference plots into two clustering categories based on PJ characteristics: one category generated with environmental variables (climate and topography) and the other using species compositions. …”
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Modeling governance innovation under esg pressure: A DEMATEL–ANP approach to institutional complexity by Konstantina Ragazou, George Sklavos, Georgia Zournatzidou, Nikolaos Sariannidis

“…The research utilizes the Decision-Making Trial and Evaluation Laboratory (DEMATEL) to identify causal relationships and the Analytic Network Process (ANP) to deduce system-aware priority weights to model the interdependencies among governance elements. …”
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A machine learning–based risk prediction model for atrial fibrillation in critically ill patients by Laith Alomari, MD, Yaman Jarrar, MD, Zaid Al-Fakhouri, MD, Emmanuel Otabor, MBBS, Justin Lam, MD, Jana Alomari

“…A compact model was developed using 15 variables and 2 novel features—one identifying patients 70 years of age or older with sepsis and another representing a composite score of pre-existing cardiac risk factors. …”
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Lean manufacturing implementation in food and beverage SMEs in Tanzania: using structural equation modelling (SEM) by Juma M. Matindana, Mary J. Shoshiwa

“…Using Exploratory Factor Analysis (EFA) and Confirmatory Composite Analysis (CCA), data from 113 SMEs were analysed, revealing that lean tools and processes are strong predictors of improved output, with a significant portion of variance explained by the model. …”
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AI-powered interpretable models for the abrasion resistance of steel fiber-reinforced concrete in hydraulic conditions by Muhammad Nasir Amin, Roz-Ud-Din Nassar, Siyab Ul Arifeen, Muhammad Tahir Qadir, Fahad Alsharari, Muhammad Iftikhar Faraz

“…Consequently, various alternative mix proportions and hydraulic conditions may be examined utilizing MEP and GEP models to generate and assess diverse concrete compositions.…”
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Modelling Energy Demands of Cross-Country Tests in 2-Star to 5-Star Eventing Competitions by Anna M. Liedtke, Hans Meijer, Stephanie Horstmann, Caroline von Reitzenstein, Insa Rump, Katharina Kirsch

“…This study presents a composite model to estimate energy expenditure during the cross-country phase, integrating physiological data (heart rate-derived <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>V</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></semantics></math></inline-formula> and lactate-based anaerobic estimates) with external workload indicators (GPS-derived speed, elevation, and course complexity). …”
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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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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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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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Diversity of Pummelos (<i>Citrus maxima</i> (Burm.) Merr.) and Grapefruits (<i>Citrus x aurantium</i> var. <i>paradisi</i>) Inferred by Genetic Markers, Essential Oils Composition,... by François Luro, Elodie Marchi, Gilles Costantino, Mathieu Paoli, Félix Tomi

“…The level of phenotypic diversity and of essential oil composition corroborate the modes of diversification, with high levels for those resulting from crosses and very low levels for the group of grapefruit mutants. …”
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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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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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