Association between neutrophil-albumin ratio and ultrasound-defined metabolic dysfunction-associated fatty liver disease in U.S. adults: evidence from NHANES 2017–2018 by Ming-yu He, Xin-jie Du, Yi-ming Liu

“…CAP-related variables were ranked using XG Boost and random forest algorithms, and predictive models were developed and evaluated. …”
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Establishing baselines for prebiotic production in controlled environments for applications in space and vertical farming by Alberto Battistelli, Simona Proietti, Gabriele Paglialunga, Michele Mattioni, Filomena Nazzaro, Florinda Fratianni, Giuseppe Colla, Mariateresa Cardarelli, Marta Del Bianco, Stefano Moscatello

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Genetic Diversity and Structure of a Critically Endangered Ornamental Species, <i>Rhododendron farinosum</i>, with Extremely Small Populations by Fengjuan Li, Linyuan Fan, Jingli Zhang, Wen Liu, Wei Li, Yongpeng Ma, Hong Ma

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Effect of bicarbonate buffer on artificial membrane permeation of drugs by Shiori Ishida, Sam Lee, Balint Sinko, Karl Box, Kiyohiko Sugano

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<i>Phytophthora</i> Species and Their Associations with Chaparral and Oak Woodland Vegetation in Southern California by Sebastian N. Fajardo, Tyler B. Bourret, Susan J. Frankel, David M. Rizzo

“…From 2018 to 2021, soil samples were collected from Angeles National Forest lands (Los Angeles County) with the objective of better understanding the diversity and distribution of <i>Phytophthora</i> species in Southern California. …”
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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

“…Python software was used to process the data, and machine learning techniques such as Random Forest, Decision Tree, Logistic Regression, Extreme Gradient Boosting, and Gaussian were applied. …”
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

“…When considering a sensitivity of 0.9, in the validation set, the XGBoost model outperforms others with a specificity of 0.640, followed closely by random forest (0.638), neural network (0.634), and logistic regression (0.620). …”
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Associations of Plasma Phospholipid Omega-6 and Omega-3 Polyunsaturated Fatty Acid Levels and MRI Measures of Cardiovascular Structure and Function: The Multiethnic Study of Athero... by Jennifer S. Anderson, Jennifer A. Nettleton, W. Gregory Hundley, Michael Y. Tsai, Lyn M. Steffen, Rozenn N. Lemaitre, David Siscovick, João Lima, Martin R. Prince, David Herrington

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Potential Medicinal Fungi from Freshwater Environments as Resources of Bioactive Compounds by Ilenia Cicero, Giulia Mirabile, Giuseppe Venturella

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Native versus non-native Prosopis woody species: Which fertilize the soil better? by Moslehi Maryam, Ahmadi Farzad, Matinizadeh Mohammad, Sadeghi Seyed Mousa, Izadi Masoumeh, Faunae Nafiseh, Alizadeh Tahereh, Shackleton Ross T.

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Relatedness of White-Tailed Deer from Culling Efforts Within Chronic Wasting Disease Management Zones in Minnesota by Alberto Fameli, Christopher Jennelle, Jessie Edson, Erik Hildebrand, Michelle Carstensen, W. David Walter

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Canker Worm Moths With Crippled Wings by William Reiff

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The Development of the Rostrum in Rhyncophorous Coleopterao by Ethel M. McClenahan

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Pre- and Postnatal Management of Hydronephrosis by Steve J. Hodges

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A Review of Nesting Behavior in the Genus Entomognathus, With Notes on E. Memorialis Banks (Hymenoptera: Sphecidae) by Richard C. Miller, Frank E. Kurczewski

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Wildfire Susceptibility Mapping Using Five Boosting Machine Learning Algorithms: The Case Study of the Mediterranean Region of Turkey by Sohaib K. M. Abujayyab, Moustafa Moufid Kassem, Ashfak Ahmad Khan, Raniyah Wazirali, Mücahit Coşkun, Enes Taşoğlu, Ahmet Öztürk, Ferhat Toprak

“…Forest fires caused by different environmental and human factors are responsible for the extensive destruction of natural and economic resources. …”
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Hylastes ater (Curculionidae: Scolytinae) Affecting Pinus radiata Seedling Establishment in New Zealand by Stephen D. Reay, Travis R. Glare, Michael Brownbridge

“…From these studies, a number of findings were made that are relevant to the New Zealand exotic forest industry and shed new light onto the role of secondary bark beetles globally.…”
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Testing Vegetation Flammability: The Problem of Extremely Low Ignition Frequency and Overall Flammability Score by Zorica Kauf, Andreas Fangmeier, Roman Rosavec, Željko Španjol

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Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization by Elisabet Walker, Virginia Venturini

“…Accurate monthly evapotranspiration (ET) estimation is essential for many forest, climate, and hydrological applications, as well as for some agricultural uses. …”
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Guide to Fertilization for Pine Straw Production on Coastal Plain Sites by Anna Osiecka, Patrick J. Minogue, E. David Dickens

“…David Dickens, and published by the School of Forest Resources and Conservation, December 2015. …”
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