Encapsulation Properties of Mentha piperita Leaf Extracts Prepared Using an Ultrasound-Assisted Double Emulsion Method.

Double emulsions (W1/O/W2) have long been used in the food and pharmaceutical industries to encapsulate hydrophobic and hydrophilic drugs and bioactive compounds. This study investigated the effect of different types of emulsifiers (plant- vs. animal-based proteins) on the encapsulation properties of Mentha piperita leaf extract (MLE) prepared using the double emulsion method. Using response surface methodology, the effect of ultrasound-assisted extraction conditions (amplitude 20-50%; time 10-30 min; ethanol concentration 70-90%) on the total phenolic content (TPC) and antioxidant activity (percent inhibition) of the MLE was studied. MLE under optimized conditions (ethanol concentration 76%; amplitude 39%; time 30 min) had a TPC of 62.83 mg GA equivalents/g and an antioxidant activity of 23.49%. The optimized MLE was encapsulated using soy, pea, and whey protein isolates in two emulsifying conditions: 4065× g/min and 4065× g/30 s. The droplet size, optical images, rheology, and encapsulation efficiency (EE%) of the different encapsulated MLEs were compared. The W1/O/W2 produced at 4065× g/min exhibited a smaller droplet size and higher EE% and viscosity than that prepared at 4065× g/30 s. The higher EE% of soy and pea protein isolates indicated their potential as an effective alternative for bioactive compound encapsulation.

Alcohol and substance dependence in the United Arab Emirates: a scoping review protocol.

INTRODUCTION: Despite cultural, religious and legal constraints, alcohol and drug abuse is rising in the United Arab Emirates (UAE). Therefore, we aim to produce a scoping review to summarise available scientific literature on alcohol and substance dependence (ASD) in all ethnic and religious groups in the UAE to inform future scientific inquiries. METHODS AND ANALYSIS: Social work faculty from the UAE University will conduct the scoping review between March 2023 and February 2024. Drawing on the participants, concept, context (PCC) framework, the following review question was developed: What can be learnt from a review of scientific literature on alcohol and substance abuse in all ethnic and religious groups in the UAE? The scientific literature on ASD in the UAE published between 1971 and January 2023, in either English or Arabic, will be considered, including all ethnic, religious and age groups. Grey literature, such as postgraduate dissertations and conference proceedings, will also be considered. Eight English and two Arabic databases and print copies of literature sources in university libraries will be included. EndNote and Covidence software will be used for deduplication, screening and data extraction. Screening and reviewing search results will involve two English-speaking and two Arabic-speaking team members who will work independently. A third reviewer will resolve conflicts. The inter-rater reliability data from the title and abstract screening stage will be exported, and Cohen's kappa coefficient will be calculated. Data charting informed by the Covidence data extraction tool 2.0 will occur after pilot testing, followed by qualitative content analysis. Reporting of the findings will align with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews tool. ETHICS AND DISSEMINATION: Ethical approval is not required for this study because this is a scoping review of published studies and grey literature. Findings will be disseminated via peer-reviewed journal publications, scientific conferences and a policy brief.

Data gathering in delay tolerant wireless sensor networks using a ferry.

In delay tolerant WSNs mobile ferries can be used for collecting data from sensor nodes, especially in large-scale networks. Unlike data collection via multi-hop forwarding among the nodes, ferries travel across the sensing field and collect data from sensors. The advantage of using a ferry-based approach is that, it eliminates the need for multi-hop forwarding of data, and as a result energy consumption at the nodes is significantly reduced. However, this increases data delivery latency and as such might not be suitable for all applications. In this paper an efficient data collection algorithm using a ferry node is proposed while considering the overall ferry roundtrip travel time and the overall consumed energy in the network. To minimize the overall roundtrip travel time, we divided the sensing field area into virtual grids based on the assumed sensing range and assigned a checkpoint in each one. A Genetic Algorithm with weight metrics to solve the Travel Sales Man Problem (TSP) and decide on an optimum path for the ferry to collect data is then used. We utilized our previously published node ranking clustering algorithm (NRCA) in each virtual grid and in choosing the location for placing the ferry's checkpoints. In NRCA the decision of selecting cluster heads is based on their residual energy and their distance from their associated checkpoint which acts as a temporary sink. We simulated the proposed algorithm in MATLAB and showed its performance in terms of the network lifetime, total energy consumption and the total travel time. Moreover, we showed through simulation that nonlinear trajectory achieves a better optimization in term of network lifetime, overall energy consumed and the roundtrip travel time of the ferry compared to linear predetermined trajectory. In additional to that, we compared the performance of your algorithm to other recent algorithms in terms of the network lifetime using same and different initial energy values.