Min Max Normalization Based Data Perturbation Method for Privacy Protection

“…Moreover, a 2 (group: H-WS and L-WS) × 2 (condition: approach and avoidance) × 2 (hunger level: hunger and satiety) repeated measures ANOVA on the response score in the attention task was employed to compare group differences between approach and avoidance at the implicit level. Third, the response score of the approach and avoidance conditions in the attention task and the scores of the approach and avoidance subscale of the AAFQ were normalized with range 0 to 1 by min-max normalization ( Jain et al, 2005 ; Jain and Bhandare, 2011 ) to compare explicit and implicit levels within identical range. In addition, a 2 (group: H-WS and L-WS) × 2 (condition: approach and avoidance) × 2 (hunger level: hunger and satiety) × 2 (processing level: explicit and implicit) repeated measures ANOVA was conducted.…”

Section: Methodsmentioning

confidence: 99%

Ambivalent Food Craving and Psychobiological Characteristics in Individuals With Weight Suppression

Lee

2021

Front. Psychol.

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This study investigated the effects of psychobiological characteristics of non-obese women with a high level of weight suppression (H-WS) on explicit-implicit and approach-avoidance response toward food cues, depending on hunger-satiety states. The 634 participants were divided into two groups according to their weight history. If the difference between their highest weight over the last year and their current weight (a difference sustained at least for 1 year) was more than 5%, they were assigned to the “H-WS” group (N = 25). If the difference in weight was less than 5%, they were assigned to the “low level of weight suppression” (L-WS) group (N = 29). Explicit approach and avoidance toward food were measured by self-report questionnaires. Implicit approach and avoidance toward food cues were measured using an eye-tracker. Fasting blood samples were obtained to measure fasting serum leptin levels. After this, participants consumed a standard breakfast to control the satiety level. After breakfast, explicit-implicit approach-avoidance responses were repeatedly measured at the satiety states. Self-reported body shape concerns, drive for thinness, ambivalent food craving, and bulimic behavior were also assessed. The results showed that the H-WS group had lower leptin levels, and higher body shape concerns, drive for thinness, ambivalent food craving, and bulimic behaviors compared to the L-WS group. At the explicit level, the H-WS group reported lower approach and higher avoidance to food compared to the L-WS group, regardless of hunger-satiety state. Whereas, at the implicit level, the H-WS group showed higher approach during satiety rather than during hunger states. Regardless of the hunger-satiety state, there were no significant group differences with regard to implicit avoidance between the two groups. Thus, we confirmed that a high level of avoidance toward foods was observed in the H-WS group at the explicit level but not at the implicit level. Moreover, in contrast with a high level of explicit avoidance toward palatable foods, inhibition for implicit approach toward high-calorie foods seemed to be blunted after food consumption in the H-WS group. These inconsistencies may be associated with ambivalent food craving and vulnerability to bulimic behavior among H-WS individuals.

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“…For this reason, Min‐Max Normalization (MM‐Norm) was used to normalize different indexes in this study. MM‐Norm performs a linear transformation on the original data into a range of [0,1] (Jain & Bhandare, 2011). The normalization is expressed as:

x_{kj}^{*} = \frac{x_{kj} - \min ((), x_{j})}{\max ((), x_{j}) - \min ((), x_{j})}

Where:

x_{kj}^{*}

is the k th normalized data for the j th index; x kj is the k th original data for the j th index; x j is the original sequence for the j th index; k is the length of the original sequence and j is the number of indexes.…”

Section: Data and Methodologiesmentioning

confidence: 99%

Prioritization of critical source areas for soil and water conservation by using a one‐at‐a‐time removal approach in the upper Huaihe River basin

Dong

Xie

et al. 2020

Land Degrad Dev

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Appropriate land use planning plays an active role in soil and water conservation. Considering the financial investment and grain security limitations, land use planning practices should be applied focusing on the critical source areas (CSAs) rather than the complete region. In this study, the Soil and Water Assessment Tool (SWAT) model was used to identify CSAs for sediment control in the upper Huaihe River basin. A novel one‐at‐a‐time removal approach was proposed which involves individually removing the land use planning programme at sub‐basin level, after which the related runoff and sediment results were simulated by the validated SWAT model. Then, two influencing indexes (i.e., runoff yield and sediment yield) were used to evaluate the influences on runoff and sediment responses at the watershed outlet, caused by the removal of that land use planning programme. Finally, critical sub‐basins for land use planning were prioritized based on the weighted average of those influencing indexes. Calibration and validation results showed that the SWAT model well represented the monthly streamflow and sediment at the watershed outlet. The Nash–Sutcliffe efficiency values of monthly streamflow and sediment were generally greater than 0.75. Results of the integrated priorities revealed that the most CSAs affecting land use planning implementation were in sub‐basin 11, which was not the sub‐basin yielding the most sediment. The CSAs prioritization determined by the one‐at‐a‐time removal approach can achieve a better erosion control performance than that identified by the simulated sediment loads, which can be applied widely in targeting CSAs for implementation of watershed conservation practices with limited investment and disturbance.

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Min Max Normalization Based Data Perturbation Method for Privacy Protection

Cited by 109 publications

References 15 publications

A novel Covid-19 and pneumonia classification method based on F-transform

A novel Covid-19 and pneumonia classification method based on F-transform

Ambivalent Food Craving and Psychobiological Characteristics in Individuals With Weight Suppression

Prioritization of critical source areas for soil and water conservation by using a one‐at‐a‐time removal approach in the upper Huaihe River basin

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