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  1. 1061
    “…The objectives were to (1) model the probability of forest conversion and C stocks dynamics using USDA Forest Service Forest Inventory and Analysis (FIA) data and (2) create wall-to-wall maps showing estimates of the risk of areas to convert from forest to non-forest. …”
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    Modeling land use change and forest carbon stock changes in temperate forests in the United States
  2. 1062
    “…MEASURABLE OUTCOME/ANALYSIS: Change in depressive symptoms (Patient Health Questionnaire-8 score), perceived stress (Cohen Stress Scale), food security (USDA 10-item Food Security Screener); baseline eating competence (EC; Satter Eating Competence Inventory), health (SF-36), socioeconomic and demographic items. …”
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    O6 Depressive Symptoms, not Food Insecurity, Increased During COVID-19 Pandemic in At-Risk Group with Metabolic Syndrome
  3. 1063
    “…Food security was measured using the single-item measure taken from the Australian Health Survey (AHS) and the 18-item measure from the United States Department of Agriculture Household Food Security Survey Module (USDA HFSSM). Multivariable logistic regression was used to identify independent correlates associated with food insecurity. …”
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    Prevalence and risk factors of food insecurity among Libyan migrant families in Australia
  4. 1064
    “…The sUAS ET estimates and EC ET measurements were collected over multiple years and times from different vineyard sites in California as part of the USDA Agricultural Research Service Grape Remote Sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). …”
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    Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project
  5. 1065
    “…FUNDING SOURCES: This work is supported by the Lewis College Foundation and the Agriculture and Food Research Initiative (grant no. 2019–67,017-29,257/project accession no. 1,018,642) from the USDA National Institute of Food and Agriculture.…”
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    Raspberry Consumption Reduces ACE1 and NADPH Oxidase Expression in the Kidneys of Mice, Mitigating the Hypertensive Effects of a High-Fat, High-Sucrose Diet.
  6. 1066
    “…A total of 310 Holstein cows in a USDA-certified organic dairy herd in northern Colorado were enrolled. …”
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    Lying and stepping behaviors around corrective or therapeutic claw trimming
  7. 1067
    “…This work utilized multiple public databases, including National Plan and Provider Enumeration System (NPPES), US Department of Agriculture (USDA), US Census, and Center for Medicare Services (CMS) data. …”
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    PSUN303 Nationwide Geospatial Analysis of Hospitalization in Diabetes Mellitus Complications
  8. 1068
    por Cai, Jiahui, Bidulescu, Aurelian
    Publicado 2023
    “…Household food insecurity was measured using the 10-item US Department of Agriculture (USDA) Food Security Survey Module with a 30-day look-back window. …”
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    The association between chronic conditions, COVID-19 infection, and food insecurity among the older US adults: findings from the 2020–2021 National Health Interview Survey
  9. 1069
    “…The Snackability app scores the snacks based on the USDA snacking guideline. Socio-demographics (age, gender, income), food security, stress levels, and snacking behaviors (type of snacks more accessible, knowledge of how to choose healthy snacks, snacking frequency, and snacking time) were assessed through online questionnaires and dietary recalls via the Automated Self-Administered 24-hour, version 2020. …”
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    Snacking Behaviors and Quality of Snack Intake in US Overweight College Students During COVID-19 Pandemic
  10. 1070
    “…The purpose of this study was to preliminarily develop novel measures of availability, utilization, and stability that are complementary to the USDA’s household food security survey measure (HFSSM). …”
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    New measures to assess the “Other” three pillars of food security–availability, utilization, and stability
  11. 1071
    “…OBJECTIVE: To determine the validity of electronic diet recording, we compared responses to 3-day DR kept by Tap & Track software for the Apple iPod Touch and records kept on the Nutrihand website to DR coded and analyzed by a research dietitian into a customized US Department of Agriculture (USDA) nutrient analysis program, entitled GRAND (Grand Forks Research Analysis of Nutrient Data). …”
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    Validity of Electronic Diet Recording Nutrient Estimates Compared to Dietitian Analysis of Diet Records: Randomized Controlled Trial
  12. 1072
    “…The results of this study arose from a larger project designed for whole genome association studies upon the USDA-ARS hop germplasm collection consisting of approximately 116 distinct hop varieties and germplasm (female lines) from around the world. …”
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    Simple SNP-based minimal marker genotyping for Humulus lupulus L. identification and variety validation
  13. 1073
    por Niles, Meredith T, Beavers, Alyssa W, Clay, Lauren A, Dougan, Marcelle M, Pignotti, Giselle A, Rogus, Stephanie, Savoie-Roskos, Mateja R, Schattman, Rachel E, Zack, Rachel M, Acciai, Francesco, Allegro, Deanne, Belarmino, Emily H, Bertmann, Farryl, Biehl, Erin, Birk, Nick, Bishop-Royse, Jessica, Bozlak, Christine, Bradley, Brianna, Brenton, Barrett P, Buszkiewicz, James, Cavaliere, Brittney N, Cho, Young, Clark, Eric M, Coakley, Kathryn, Coffin-Schmitt, Jeanne, Collier, Sarah M, Coombs, Casey, Dressel, Anne, Drewnowski, Adam, Evans, Tom, Feingold, Beth J, Fiechtner, Lauren, Fiorella, Kathryn J, Funderburk, Katie, Gadhoke, Preety, Gonzales-Pacheco, Diana, Safi, Amelia Greiner, Gu, Sen, Hanson, Karla L, Harley, Amy, Harper, Kaitlyn, Hosler, Akiko S, Ismach, Alan, Josephson, Anna, Laestadius, Linnea, LeBlanc, Heidi, Lewis, Laura R, Litton, Michelle M, Martin, Katie S, Martin, Shadai, Martinelli, Sarah, Mazzeo, John, Merrill, Scott C, Neff, Roni, Nguyen, Esther, Ohri-Vachaspati, Punam, Orbe, Abigail, Otten, Jennifer J, Parmer, Sondra, Pemberton, Salome, Qusair, Zain Al Abdeen, Rivkina, Victoria, Robinson, Joelle, Rose, Chelsea M, Sadeghzadeh, Saloumeh, Sivaramakrishnan, Brinda, Arroyo, Mariana Torres, Voorhees, McKenna, Yerxa, Kathryn
    Publicado 2021
    “…Food security was measured using the USDA 6-item module. Food security prevalence was analyzed using ANOVA by sampling method to assess statistically significant differences. …”
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    A Multi-Site Analysis of the Prevalence of Food Insecurity in the United States, before and during the COVID-19 Pandemic
  14. 1074
    “…Intakes were averaged and summed for each food group; sodium and saturated fat were calculated using the Mexican System of Food Equivalents or the USDA Database. Metrics were categorized into ideal, intermediate or poor level according to the AHA criteria. …”
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    Low prevalence of ideal levels in cardiovascular behavior metrics among Mexican adolescents
  15. 1075
    “…We performed an analysis to show how well sites in the USDA Long-Term Agroecosystem Research (LTAR) Network represent all agricultural working lands within the conterminous United States (CONUS). …”
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    Quantitative Representativeness and Constituency of the Long-Term Agroecosystem Research Network and Analysis of Complementarity with Existing Ecological Networks
  16. 1076
    por Abdelrahman, Hisham, ElHady, Mohamed, Alcivar-Warren, Acacia, Allen, Standish, Al-Tobasei, Rafet, Bao, Lisui, Beck, Ben, Blackburn, Harvey, Bosworth, Brian, Buchanan, John, Chappell, Jesse, Daniels, William, Dong, Sheng, Dunham, Rex, Durland, Evan, Elaswad, Ahmed, Gomez-Chiarri, Marta, Gosh, Kamal, Guo, Ximing, Hackett, Perry, Hanson, Terry, Hedgecock, Dennis, Howard, Tiffany, Holland, Leigh, Jackson, Molly, Jin, Yulin, Kahlil, Karim, Kocher, Thomas, Leeds, Tim, Li, Ning, Lindsey, Lauren, Liu, Shikai, Liu, Zhanjiang, Martin, Kyle, Novriadi, Romi, Odin, Ramjie, Palti, Yniv, Peatman, Eric, Proestou, Dina, Qin, Guyu, Reading, Benjamin, Rexroad, Caird, Roberts, Steven, Salem, Mohamed, Severin, Andrew, Shi, Huitong, Shoemaker, Craig, Stiles, Sheila, Tan, Suxu, Tang, Kathy F. J., Thongda, Wilawan, Tiersch, Terrence, Tomasso, Joseph, Prabowo, Wendy Tri, Vallejo, Roger, van der Steen, Hein, Vo, Khoi, Waldbieser, Geoff, Wang, Hanping, Wang, Xiaozhu, Xiang, Jianhai, Yang, Yujia, Yant, Roger, Yuan, Zihao, Zeng, Qifan, Zhou, Tao
    Publicado 2017
    “…This paper is an output of the USDA Workshop for Aquaculture Genomics, Genetics, and Breeding held in late March 2016 in Auburn, Alabama, with participants from all parts of the United States.…”
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    Aquaculture genomics, genetics and breeding in the United States: current status, challenges, and priorities for future research
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