An Investigation of the Moderating Effects of Household Composition and Developmental Age on Food Insecurity Impacting Mental Health

The current study examined how developmental stages of adulthood (emerging, middle, and late) and household composition (living with or without children) influence the experiences of food insecurity in regard to food-related protective strategies and mental health consequences. Using a moderated moderation analysis, the impact of age conditional on the effects of household composition aimed to quantify how food-related protective strategies predicted levels of food insecurity thus leading to anxiety and depression. Results indicated developmental stages and household composition are non-significant moderators across three models. However, middle-adult participants demonstrated increased susceptibility to severe food insecurity, further contributing to literature on midlife vulnerability. Additionally, significant patterns in developmental stage and household composition were observed when examining the domains of food insecurity and food-related protective strategies but not mental health outcomes. Applying a developmental lens on research surrounding food insecurity provides important implications as to how coping and mental health manifest non-uniformly among varying demographic groups within food-insecure households

A machine learning approach with verification of predictions and assisted supervision for a rule-based network intrusion detection system

Network security is a branch of network management in which network intrusion detection systems provide attack detection features by monitorization of traffic data. Rule-based misuse detection systems use a set of rules or signatures to detect attacks that exploit a particular vulnerability. These rules have to be handcoded by experts to properly identify vulnerabilities, which results in misuse detection systems having limited extensibility. This paper proposes a machine learning layer on top of a rule-based misuse detection system that provides automatic generation of detection rules, prediction verification and assisted classification of new data. Our system offers an overall good performance, while adding an heuristic and adaptive approach to existing rule-based misuse detection systems

Assessing the impact of the introduction of the World Health Organization growth standards and weight-for-height z-score criterion on the response to treatment of severe acute malnutrition in children: Secondary data analysis

OBJECTIVE: The objective of our study was to assess the impact of adopting the World Health Organization growth standards and weight-for-height z-score criterion on the response to treatment of severe acute malnutrition in children compared with the use of the National Center for Health Statistics growth reference. METHODS: We used data from children aged 6 to 59 months with acute malnutrition who were admitted to the Médecins sans Frontières nutrition program in Maradi, Niger, during 2006 (N = 56214). Differences in weight gain, duration of treatment, recovery from malnutrition, mortality, loss to follow-up, and need for inpatient care were compared for severely malnourished children identified according to the National Center for Health Statistics reference and weight-for-height <70% of the median criterion versus the World Health Organization standards and the weight-for-height less than -3 z-score criterion. RESULTS: A total of 8 times more children (n = 25754) were classified as severely malnourished according to the World Health Organization standards compared with the National Center for Health Statistics reference (n = 2989). Children included according to the World Health Organization standards had shorter durations of treatment, greater rates of recovery, fewer deaths, and less loss to follow-up or need for inpatient care. CONCLUSIONS: The introduction of the World Health Organization standards with the z-score criterion to identify children for admission into severe acute malnutrition treatment programs would imply the inclusion of children who are younger but have relatively higher weight for height on admission compared with the National Center for Health Statistics reference. These children have fewer medical complications requiring inpatient care and are more likely to experience shorter durations of treatment and lower mortality rates. The World Health Organization standards with the z-score criterion might become a useful tool for the early detection of acute malnutrition in children, although additional research on the resource implications of this transition is required