Sas

Rodriguez, Robert N.

doi:10.1002/wics.131

Cited by 164 publications

(21 citation statements)

References 4 publications

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“…Statistical analysis was done by using the SAS package [51]. Variance analysis (ANOVA), in a sense, was applied to compare the samples and tested treatments [51].…”

Section: Discussionmentioning

confidence: 99%

Potential Activity of Aqueous Fig Leaves Extract, Olive Leaves Extract and Their Mixture as Natural Preservatives to Extend the Shelf Life of Pasteurized Buffalo Milk

Abdel-Aziz

Darwish

Mohamed

et al. 2020

Foods

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The aim of this study was to evaluate fig (Ficus carica L.) leaves’ extract (FLE), olive (Olea europaea L.) leaves’ extract (OLE), and their mixture (MLE), to extend the shelf life of pasteurized milk. OLE, FLE, and their mixture MLE (1:1) were added to the pasteurized milk in different concentrations (0.2%, 0.4%, and 0.6%). Several tests were then conducted to determine the activity of these extracts. The antioxidant activity as IC50 was determined by using DPPH radical assay. FLE showed higher IC50 (30.21 µg/mL) compared to the IC50 of OLE (22.43 µg/mL). Phenolic compounds were identified by using high-performance liquid chromatography (HPLC). The highest antimicrobial activity was obtained with 0.6% concentration. Organoleptic properties indicated that the addition of these extracts did not affect the sensory properties of pasteurized milk. Pasteurized milk treated with 0.6% of FLE, OLE, and MLE has significantly decreased (p ≤ 0.05) lipase and protease activity during the storage period, at 5 °C. The results indicated that extending the shelf life of pasteurized milk from 5 to 16 days was successfully achieved through using 0.6% of FLE, OLE, and MLE. The combination of the two extracts (MLE) provides an efficient and safe method to prolong the shelf life of pasteurized milk, without altering the properties of pasteurized buffalo milk.

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“…Statistical analysis was done by using the SAS package [51]. Variance analysis (ANOVA), in a sense, was applied to compare the samples and tested treatments [51].…”

Section: Discussionmentioning

confidence: 99%

Potential Activity of Aqueous Fig Leaves Extract, Olive Leaves Extract and Their Mixture as Natural Preservatives to Extend the Shelf Life of Pasteurized Buffalo Milk

Abdel-Aziz

Darwish

Mohamed

et al. 2020

Foods

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“…Each preference decision trial was shown twice, once in each condition. The design alternatives making up the individual preference trials were first created using discrete choice analysis design of experiment techniques and arranged into profiles using the SAS software package's MktEx and Choiceff macros [52]. The nodup option was used to ensure no duplicate options were included in the experiment to enforce novel preference judgments during scanning.…”

Section: Functional Magneticmentioning

confidence: 99%

Inside the Mind: Using Neuroimaging to Understand Moral Product Preference Judgments Involving Sustainability

Goucher-Lambert

Moss

Cagan

2017

Journal of Mechanical Design

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Trying to decide whether to purchase a sustainable product often puts decision makers in a difficult situation, especially if the more sustainable option provides less desirable features or costs a premium. This paper theorizes that adding sustainability as a variable during product choice evaluations create decisions that are moral choice scenarios, where benefit to society is weighed against personal gain. From an engineering design perspective, modeling user preferences in this context can be extremely difficult. While several methods exist to assist researchers in eliciting consumer preferences, the vast majority relies upon conscious input from the potential consumers themselves. More critically, these methods do not afford researchers the ability to understand the cognitive mechanisms underlying what someone may be feeling or thinking while these preference judgments are being made. In this work, functional magnetic resonance imaging (fMRI) is used to investigate the neural processes behind multi-attribute product preference judgments. In particular, this work centers on uncovering unique features of sustainable preference judgments: preference judgments that involve products for which the environmental impact is a known quantity. This work builds upon earlier work that investigated how preference judgments are altered in the context of sustainability. A deeper look at participant decision making at the time of judgment is examined using neuroimaging with the goal of providing actionable insights for designers and product developers.

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“…Data were analyzed in SAS 32 (SAS Institute, Inc, Cary, NC) by using descriptive statistics and multivariable logistic regression controlling for demographics and mental health status; all aggregate analyses controlled for the multiclinic sampling frame by using generalized estimating equations. Analyses focused on prevalence of lifetime and past-year alcohol and marijuana use, and binge drinking among youth reporting past 90-day alcohol consumption.…”

Section: Data Analysesmentioning

confidence: 99%

Alcohol and Marijuana Use and Treatment Nonadherence Among Medically Vulnerable Youth

et al. 2015

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BACKGROUND AND OBJECTIVE: Adolescents face peak risks for onset and intensification of alcohol and marijuana use. However, we know little about these behaviors and their associations with knowledge or treatment adherence among chronically ill youth, a medically vulnerable group.METHODS: Cross-sectional assessment of consented youth ages 9 to 18 years receiving care for asthma/cystic fibrosis, type 1 diabetes, arthritis, or inflammatory bowel disease (IBD) by using a self-administered online tool. Prevalence and correlates of risk behaviors and associations with knowledge and treatment adherence were estimated using descriptive statistics and logistic regression, controlling for demographics, mental health, and the multiclinic sampling frame.RESULTS: Of 403 consented youth (75.8% response), 51.6% were girls, 75.1% were white, and average age was 15.6 years. Of high school youth, 36.5% and 12.7% reported past-year alcohol use and binge drinking, respectively; 20% reported past-year marijuana use. Among high school youth, 53.1% and 37.2% answered correctly that alcohol can interfere with their medications and laboratory tests; youth answering incorrectly were 8.53 and 4.46 times more likely to drink and binge drink, respectively (P values , .001). Thirty-two percent and 8.3% of high school youth reported regularly forgetting or skipping their medications in the past 30 days; compared with past-year nondrinking youth, drinkers were 1.79 and 1.61 times as likely to report regularly missing or skipping medications (P values , .05).CONCLUSIONS: Alcohol and marijuana use are common among youth with chronic medical conditions. Alcohol use is associated with treatment nonadherence. Education and preventive interventions are warranted to ameliorate risk. WHAT'S KNOWN ON THIS SUBJECT:Increasing percentages of youth are living with chronic medical conditions. Although adolescents face peak risks for onset and intensification of alcohol and marijuana use, we know little about these behaviors and their associations with treatment adherence among chronically ill youth. WHAT THIS STUDY ADDS:This study quantifies alcohol and marijuana use behaviors among a heterogeneous sample of chronically ill youth in aggregate and by condition, and measures associations between alcohol use/binge drinking and knowledge about alcohol interactions with medications/laboratory tests and also treatment nonadherence.

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Sas

Cited by 164 publications

References 4 publications

Potential Activity of Aqueous Fig Leaves Extract, Olive Leaves Extract and Their Mixture as Natural Preservatives to Extend the Shelf Life of Pasteurized Buffalo Milk

Potential Activity of Aqueous Fig Leaves Extract, Olive Leaves Extract and Their Mixture as Natural Preservatives to Extend the Shelf Life of Pasteurized Buffalo Milk

Inside the Mind: Using Neuroimaging to Understand Moral Product Preference Judgments Involving Sustainability

Alcohol and Marijuana Use and Treatment Nonadherence Among Medically Vulnerable Youth

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