HLD-DDoSDN: High and low-rates dataset-based DDoS attacks against SDN.

Software Defined Network (SDN) has alleviated traditional network limitations but faces a significant challenge due to the risk of Distributed Denial of Service (DDoS) attacks against an SDN controller, with current detection methods lacking evaluation on unrealistic SDN datasets and standard DDoS attacks (i.e., high-rate DDoS attack). Therefore, a realistic dataset called HLD-DDoSDN is introduced, encompassing prevalent DDoS attacks specifically aimed at an SDN controller, such as User Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), and User Datagram Protocol (UDP). This SDN dataset also incorporates diverse levels of traffic fluctuations, representing different traffic variation rates (i.e., high and low rates) in DDoS attacks. It is qualitatively compared to existing SDN datasets and quantitatively evaluated across all eight scenarios to ensure its superiority. Furthermore, it fulfils the requirements of a benchmark dataset in terms of size, variety of attacks and scenarios, with significant features that highly contribute to detecting realistic SDN attacks. The features of HLD-DDoSDN are evaluated using a Deep Multilayer Perception (D-MLP) based detection approach. Experimental findings indicate that the employed features exhibit high performance in the detection accuracy, recall, and precision of detecting high and low-rate DDoS flooding attacks.

An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique.

The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many factors, including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based technology. The cost of related healthcare will rise as the global population of elderly people grows in parallel with an overall life expectancy that demands affordable healthcare services, solutions, and developments. IoMT may bring revolution in the medical sciences in terms of the quality of healthcare of elderly people while entangled with machine learning (ML) algorithms. The effectiveness of the smart healthcare (SHC) model to monitor elderly people was observed by performing tests on IoMT datasets. For evaluation, the precision, recall, fscore, accuracy, and ROC values are computed. The authors also compare the results of the SHC model with different conventional popular ML techniques, e.g., support vector machine (SVM), K-nearest neighbor (KNN), and decision tree (DT), to analyze the effectiveness of the result.

Pathways to a more peaceful and sustainable world: The transformative power of children in families.

This article provides an overview of selected ongoing international efforts that have been inspired by Edward Zigler's vision to improve programs and policies for young children and families in the United States. The efforts presented are in close alignment with three strategies articulated by Edward Zigler: (a) conduct research that will inform policy advocacy; (b) design, implement, and revise quality early childhood development (ECD) programs; and (c) invest in building the next generation of scholars and advocates in child development. The intergenerational legacy left by Edward Zigler has had an impact on young children not only in the United States, but also across the globe. More needs to be done. We need to work together with a full commitment to ensure the optimal development of each child.

A Pilot Intervention to Promote Positive Parenting in Refugees from Syria in Lebanon and Jordan.

BACKGROUND: Early childhood development (ECD) is a crucial milestone that shapes a child's health, wellbeing, education, and personality. Several factors come into play, and each requires the nurturing care of caregivers. Although the importance of ECD is well understood, the implementation of ECD programs is scarce, especially in poor and vulnerable communities. OBJECTIVE: To improve parents' wellbeing, parenting stress levels, parenting behavior, and discipline strategies after the implementation of a newly designed parenting intervention. PARTICIPANTS AND SETTING: Parents from Syria (125 mothers and fathers) in three refugee camps in Lebanon and Jordan. METHODS: This was a pilot cohort study in which parents' wellbeing, parenting stress levels, parenting behavior, and discipline strategies were evaluated before and after participating in training in the form of interactive and educational sessions to ameliorate their relations and interactions with their children. RESULTS: By the end of this study, parents' mental health and wellbeing improved (p < 0.001, Cohen's d: 0.61) and their parenting index score was reduced (p < 0.001, Cohen's d: 1.24). Some of their dysfunctional interactions with their children as well as the perceived difficulties and conduct problems in their children aged 3 to 6 years were also reduced significantly. CONCLUSION: The intervention used in this study succeeded in improving some aspects of parenting practices and disciplines and in improving the parents' wellbeing; however, more research is needed to assess its long-term effects on parents and their children. Moreover, some adjustments need to be made in the intervention to be more adapted to the context of refugees and underprivileged communities.

Maternal perceptions of father involvement among refugee and disadvantaged families in Beirut, Lebanon.

The role of fathers in (co-)parenting their children among refugee and disadvantaged families in low and middle-income countries (LMICs) remains poorly understood. This study sought to examine the associations among mothers' perceptions of their husband's involvement (hereafter referred to as paternal involvement), and her perceptions of her own well-being and a number of other variables, as well as observed mother-child interactions in families living in refugee and disadvantaged communities in Beirut, Lebanon. We analyzed baseline data from 104 mother-child dyads (mean age of children = 4.34 years; range = 2.05 to 7.93 years of age) who participated in a randomized controlled trial aimed at evaluating the impact of the Mother-Child Education Program in Beirut. In addition to the mother's perception of paternal involvement and the videotaped mother-child interactions, data were collected concerning the mother's well-being and her level of social support, as well as her level of stress as a parent and the way her children were disciplined in the family. Mother-child pairs were videotaped while completing a puzzle together and dyadic interactions were coded. Path analysis showed that paternal involvement was significantly associated with a higher level of maternal well-being and lower distress levels. In addition, higher levels of maternal distress were associated with higher levels of harsh discipline and parenting stress. Correlation analysis showed that higher perceptions of paternal involvement were associated with more positive affect displayed by the child, more positive regard for the child, and better mother-child synchrony during the dyadic interactions. Limitations include the cross-sectional design and the modest sample size, which hinder causal inferences and generalizability of the findings. These preliminary findings suggest that higher levels of paternal involvement may have an impact on markers of maternal mental health and positive mother-child interactions in families living in disadvantaged communities or humanitarian settings. Paternal involvement should be considered when designing and implementing parenting programs in LMICs.

Effects of the Mother-Child Education Program on Parenting Stress and Disciplinary Practices Among Refugee and Other Marginalized Communities in Lebanon: A Pilot Randomized Controlled Trial.

OBJECTIVE: Few randomized controlled trials (RCTs) have explored the implementation and impact of early childhood parenting education programs in very fragile contexts and humanitarian settings. We tested the effects of a group-based intervention, the Mother-Child Education Program (MOCEP), on parenting stress and practices among two refugee communities and one other marginalized community in Beirut, Lebanon. METHOD: A pilot wait-list RCT was conducted to assess the program's impact on maternal, child (average age: 4 years), and dyadic outcomes. A total of 106 mother-child dyads were randomly assigned to either the intervention group (n = 53) or the wait-list control group (n = 53). Analysis was conducted by modified intention-to-treat and supplemental analyses through multiple imputation of missing post-intervention data. RESULTS: Forty families (38%) withdrew early from the study. After completing the program, mothers in the intervention group showed a reduction in their harsh parenting practices, as indexed by the Disciplinary Style Questionnaire (Cohen's d = -0.76, 95% CI = -1.24, -0.27) and in their level of parenting stress, as indexed by the Parenting Stress Index-Short Form (PSI-SF; Cohen's d = -0.90, 95% CI = -1.39, -0.40). Exploratory but underpowered analyses of dyadic interactions revealed reductions in the PSI were associated with a reduction in harsh parenting after the intervention. However, we did not detect any positive impact on behavioral or emotional outcomes among the children. CONCLUSION: Our analyses suggest that MOCEP had a positive impact on disciplinary practices and parenting stress in a context of high fragility, but that broader effects on maternal and child outcomes may be dependent on program attendance and the availability of other services. We discuss implications of this pilot study for practice and research of a largely unexplored area of program evaluation. CLINICAL TRIAL REGISTRATION INFORMATION: Mother and Child Education Program in Palestinian Refugee Camps; https://clinicaltrials.gov; NCT02402556.

Application of data mining algorithms for improving stress prediction of automobile drivers: A case study in Jordan.

Driving daily through traffic congestion has been recognised as a major cause of stress. High levels of stress while driving negatively impact the driver's decisions which could potentially lead to accidents and other long-term health hazards. Accordingly, there is a great need to determine stress levels for drivers based on measuring and predicting the major causes (features or classes) that increase stress levels. In this paper, the problem of predicting automobile drivers' stress levels, as experienced during actual driving, is investigated through the application of five different data mining algorithms, namely K-Nearest Neighbour (KNN), Decision Tree (J48), Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Networks (ANN). An experiment was conducted on 14 drivers taking various routes in Amman - Jordan, with a wearable biomedical device attached to the driver to instantly collect physiological data. The collected data (dataset) is grouped into two different categories, namely 'Yes' to signify the presence of stress and 'No' to signify the absence of stress. In order to efficiently apply data mining algorithms to the data set, oversampling was used to avoid the negative effect of driver samples with a lesser class on the prediction of stress. The findings are evaluated in relation to stress prediction and accordingly contrasted alongside standard reference approaches that do not consider oversampling and/or feature selection using the Friedman rank test. The proposed approach, in combination with RF, was seen to surpass any others in terms of accuracy, AUC, specificity, and sensitivity. The accuracy, AUC, specificity, and sensitivity rates produced by RF utilising our proposed approach were 98.92%, 99.91%, 98.46%, and 99.36%, respectively.

Implementation Evaluation of the Mother-Child Education Program Among Refugee and Other Vulnerable Communities in Lebanon.

Despite the knowledge that quality early childhood development programs, including those that target parental knowledge and behaviors, are essential for ameliorating the negative effects of early-life adversity, robust analyses of their implementation and impact in highly vulnerable settings are scarce. To address this knowledge gap, we conducted a pilot wait-list randomized controlled trial (RCT) to assess the impact and the process of implementing and evaluating the Mother-Child Education Program (MOCEP) among refugee families and one low-income community in Beirut, Lebanon. This paper focuses on the analysis of MOCEP's implementation (i.e., key enablers of and barriers to the application and evaluation of the program). Our analysis suggests that, despite multiple challenges, implementation and robust evaluations of early childhood parenting programs in fragile contexts are feasible and urgently needed. This study illustrates how implementation evaluations are a key component of RCTs and crucial to identifying strategies to optimize program uptake and maximize impact.

Effect of rosemary essential oil and modified-atmosphere packaging (MAP) on meat quality and survival of pathogens in poultry fillets.

The effect of rosemary (Rosmarinus officinalis L.) essential oil (REO) and modified-atmosphere packaging (MAP) on the survival of certain pathogens (Salmonella Typhimurium and Listeria monocytogenes) in poultry fillets and on their meat quality during 7 days of refrigerated storage were investigated. Because REO at 0.05% and 0.1% had weak antibacterial activity and REO at 0.3%, 0.5% and 1.0% imparted unacceptable organoleptic properties, only REO at 0.2% was used to treat the poultry meat. The results showed that adding 0.2% REO to poultry fillets did not reduce the size of the population of S. Typhimurium and L. monocytogenes. However, REO treatment significantly decreased the L* (lightness) value and increased the a* (redness) value of stored fillets, and adding REO in combination with MAP reduced the level of lipid oxidation. In conclusion, in a suitable combination, REO can be applied to improve the quality of meat, but further studies should be conducted to determine the appropriate commercial level for different meat products.

Effect of rosemary essential oil and modified-atmosphere packaging (MAP) on meat quality and survival of pathogens in poultry fillets

The effect of rosemary (Rosmarinus officinalis L.) essential oil (REO) and modified-atmosphere packaging (MAP) on the survival of certain pathogens (Salmonella Typhimurium and Listeria monocytogenes) in poultry fillets and on their meat quality during 7 days of refrigerated storage were investigated. Because REO at 0.05% and 0.1% had weak antibacterial activity and REO at 0.3%, 0.5% and 1.0% imparted unacceptable organoleptic properties, only REO at 0.2% was used to treat the poultry meat. The results showed that adding 0.2% REO to poultry fillets did not reduce the size of the population of S. Typhimurium and L. monocytogenes. However, REO treatment significantly decreased the L* (lightness) value and increased the a* (redness) value of stored fillets, and adding REO in combination with MAP reduced the level of lipid oxidation. In conclusion, in a suitable combination, REO can be applied to improve the quality of meat, but further studies should be conducted to determine the appropriate commercial level for different meat products.

Eye blinking-based method for detecting driver drowsiness.

Drowsy driving is a major cause of traffic accidents. Eye blinking is considered as important evidence of driver drowsiness. In this paper, a portable and low cost device for monitoring a driver's drowsiness is proposed. The proposed system consists of two main parts that detect eye blinking based on IR sensors mounted on eyewear. Depending on the reflected and absorbed IR radiation, this system detects and classifies the eye blinking into normal blinking (NB) or prolonged blinking (PB). The detected prolonged blinking is used to trigger an audio/visual alarm system which draws the driver's attention back. The system was simulated initially by LabVIEW® software. Moreover, the system was bench tested on 15 adult volunteers; eye blinking were detected and classified successfully for all subjects. The results of this research are promising and additional investigation is required to further improve the method.

Detection of airborne psychrotrophic bacteria and fungi in food storage refrigerators

The purpose of this study was to determine the microbiological air quality (psychrotrophic bacteria and airborne fungi) and distribution of fungi in different types of ready-to-eat (RTE) food-storage refrigerators (n=48) at selected retail stores in the city of Edirne, Turkey. Refrigerators were categorized according to the type of RTE food-storage: meat products, vegetables, desserts, or a mix of food types. Microbiological quality of air samples was evaluated by using a Mas-100 Eco Air Sampler. Four refrigerators (all containing meat products, 8.3%) produced air samples with undetectable microorganisms. The highest detected mean value of airborne psychrotrophic bacteria and fungi was 82.3 CFU/m³ and 54.6 CFU/m³, respectively and were found in mixed-food refrigerators. The dominant airborne fungal genera found were Penicillium (29.0%), Aspergillus (12.0%), Mucor (9%), Cladosporium (8%), Botyrtis (7%), and Acremonium (6%). By definition, RTE food does not undergo a final treatment to ensure its safety prior to consumption. Therefore, ensuring a clean storage environment for these foods is important to prevent food-borne disease and other health risks.

Psychological distress and job stressors among Lebanese workers: experience from a private sector.

No published data exists on the prevalence of psychological distress (PD) among the Lebanese working population, and its association with job stressors. A cross-sectional study was conducted in 2003 among Lebanese employees in a private administrative company. All employees (n = 200) received an anonymous questionnaire by mail. The General Health Questionnaire (GHQ-28) was used to estimate the prevalence of PD. Multiple regression analyses were performed to evaluate the relationship between GHQ-28 Likert score (0-84) and job stressors and other covariates. The participation rate was 79.3%. PD was identified in 30.0% of the studied population. A significant association was found between PD and lack of moral support, a recent disturbing event, feeling of job insecurity, and inability to be proactive. The results showed a high prevalence of PD in the studied population with significant association with job stressors.

Detection of airborne psychrotrophic bacteria and fungi in food storage refrigerators.

The purpose of this study was to determine the microbiological air quality (psychrotrophic bacteria and airborne fungi) and distribution of fungi in different types of ready-to-eat (RTE) food-storage refrigerators (n=48) at selected retail stores in the city of Edirne, Turkey. Refrigerators were categorized according to the type of RTE food-storage: meat products, vegetables, desserts, or a mix of food types. Microbiological quality of air samples was evaluated by using a Mas-100 Eco Air Sampler. Four refrigerators (all containing meat products, 8.3%) produced air samples with undetectable microorganisms. The highest detected mean value of airborne psychrotrophic bacteria and fungi was 82.3 CFU/m(3) and 54.6 CFU/m(3), respectively and were found in mixed-food refrigerators. The dominant airborne fungal genera found were Penicillium (29.0%), Aspergillus (12.0%), Mucor (9%), Cladosporium (8%), Botyrtis (7%), and Acremonium (6%). By definition, RTE food does not undergo a final treatment to ensure its safety prior to consumption. Therefore, ensuring a clean storage environment for these foods is important to prevent food-borne disease and other health risks.