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Responding to the call for an extension of social marketing scope and application, this paper aims to outline implementation of a multi-stream, multi-method formative research approach to understanding human trafficking in the global South context of Nigeria.

Data were collected using a multi-method, multi-stream research design. The study used alternative methods allowing a critical perspective to be taken.

Contradictions between upstream discourses and the lived experiences of trafficked individuals emerged. Specifically, moral and rational agency ideology, which conflates human trafficking with prostitution, unintentionally promotes human trafficking and underrepresents other forms of trafficking was evident. Experiences of socioeconomic oppression, traditional practices and an aspirational culture fuels positive attitudes towards human trafficking. The lived experience of human trafficking survivors while varied was underpinned by the common theme of job seeking. Participants perceived human traffickers as benevolent users rather than oppressors, and their rescue as oppressive and disempowering.

Application of a multi-stream approach is limited by research context, sample size, time and cost constraints. Future research extending the multi-stream research approach to other research contexts and groups is recommended.

Multi-stream formative research design assisted to yield wider insights, which informed the design of a multilevel pilot intervention to combat human trafficking in Nigeria.

Extending understanding beyond individual, myopic approaches that have dominated social marketing formative research.

Assembly action recognition plays an important role in assembly process monitoring and human-robot collaborative assembly. Previous works overlook the interaction relationship between hands and operated objects and lack the modeling of subtle hand motions, which leads to a decline in accuracy for fine-grained action recognition. This paper aims to model the hand-object interactions and hand movements to realize high-accuracy assembly action recognition.

In this paper, a novel multi-stream hand-object interaction network (MHOINet) is proposed for assembly action recognition. To learn the hand-object interaction relationship in assembly sequence, an interaction modeling network (IMN) comprising both geometric and visual modeling is exploited in the interaction stream. The former captures the spatial location relation of hand and interacted parts/tools according to their detected bounding boxes, and the latter focuses on mining the visual context of hand and object at pixel level through a position attention model. To model the hand movements, a temporal enhancement module (TEM) with multiple convolution kernels is developed in the hand stream, which captures the temporal dependences of hand sequences in short and long ranges. Finally, assembly action prediction is accomplished by merging the outputs of different streams through a weighted score-level fusion. A robotic arm component assembly dataset is created to evaluate the effectiveness of the proposed method.

The method can achieve the recognition accuracy of 97.31% and 95.32% for coarse and fine assembly actions, which outperforms other comparative methods. Experiments on human-robot collaboration prove that our method can be applied to industrial production.

The author proposes a novel framework for assembly action recognition, which simultaneously leverages the features of hands, objects and hand-object interactions. The TEM enhances the representation of dynamics of hands and facilitates the recognition of assembly actions with various time spans. The IMN learns the semantic information from hand-object interactions, which is significant for distinguishing fine assembly actions.

Social marketing has been applied to alcohol education, changing adolescents’ knowledge, attitudes and intentions toward binge drinking for the better. However, there remains limited research in the social marketing literature examining multi-stream models considering social-contextual factors and individual differences in the applied context of adolescent drinking.

A multi-group structural equation model approach was applied to analyze cross-sectional self-report data from 2,234 (mean age = 15.3 years, 48.7 per cent female) Australian adolescents. Based on the theory of planned behavior, the role of attitudes, subjective norms and perceived behavioral control in adolescents’ binge drinking intentions were examined. Potential moderating effects of peer and parent drinking behaviors and drinking status were tested.

The model explained 47.3 per cent variance in intentions for drinkers and 31.6 per cent for non-drinkers. Subjective norms were more strongly related to intentions than attitudes. Peer and parent behavior modified those associations, and drinking status further moderated interaction effects. Under conditions of favorable norms and attitudes, family and friends’ behavior fuels adolescents’ binge drinking intentions. Conversely, exposure to modeling of non-drinking peers and parents can bolster negative binge drinking beliefs.

Social marketing programs seeking to change adolescent drinking culture should include peers and parents whose drinking behavior modified associations between attitudes, norms and intentions to binge drink.

This study investigated how social-contextual factors (midstream) and drinking status influence relationships between adolescents’ attitudes, norms and perceived behavioral control (downstream factors) and their intentions to binge drink. These moderating effects have not previously been examined within the theory of planned behavior framework, and limited previous research has examined multi-stream models.

The purpose of this paper is to employ the Generalized Integral Transform Technique in the analysis of conjugated heat transfer in micro-heat exchangers, by combining this hybrid numerical-analytical approach with a reformulation strategy into a single domain that envelopes all of the physical and geometric sub-regions in the original problem. The solution methodology advanced is carefully validated against experimental results from non-intrusive techniques, namely, infrared thermography measurements of the substrate external surface temperatures, and fluid temperature measurements obtained through micro Laser Induced Fluorescence.

The methodology is applied in the hybrid numerical-analytical treatment of a multi-stream micro-heat exchanger application, involving a three-dimensional configuration with triangular cross-section micro-channels. Space variable coefficients and source terms with abrupt transitions among the various sub-regions interfaces are then defined and incorporated into this single domain representation for the governing convection-diffusion equations. The application here considered for analysis is a multi-stream micro-heat exchanger designed for waste heat recovery and built on a PMMA substrate to allow for flow visualization.

The methodology here advanced is carefully validated against experimental results from non-intrusive techniques, namely, infrared thermography measurements of the substrate external surface temperatures and fluid temperature measurements obtained through Laser Induced Fluorescence. A very good agreement among the proposed hybrid methodology predictions, a finite elements solution from the COMSOL code, and the experimental findings has been achieved. The proposed methodology has been demonstrated to be quite flexible, robust, and accurate.

The hybrid nature of the approach, providing analytical expressions in all but one independent variable, and requiring numerical treatment at most in one single independent variable, makes it particularly well suited for computationally intensive tasks such as in optimization, inverse problem analysis, and simulation under uncertainty.

When there is a change in a process, the MaxMin exponentially weighted moving average (EWMA) control chart shows which parameters have increased or decreased. The MaxMin EWMA may also be viewed as smoothed tolerance limits. Tolerance limits are limits that include a specific proportion of the population at a given confidence level. In the context of process control, they are used to make sure that production will not be outside specifications. In this article, we provide useful coverages for the MaxMin EWMA chart, when also used as tolerance limits. The proposed EWMA smoothed tolerance limits require relatively small sample sizes to attain useful coverages at high confidence levels. The MaxMin EWMA chart has already been successfully field‐tested and subsequently implemented with 100 multi‐stream processes.

The purpose of this paper is to present a novel and applied method for optimum designing of plate-finned heat exchanger network. Considering the total annual cost as the objective function, a network of plate-finned heat exchanger is designed and optimized.

Accurate evaluation of plate-finned heat exchanger networks depends on different fin types with 10 different geometrical parameters of heat exchangers. In this study, fin numbers are considered as the main decision variables and geometrical parameters of fins are considered as the secondary decision variables. The algorithm applies heat transfer and pressure drop coefficients correction method and differential evolution (DE) algorithm to obtain the optimum results. In this paper, optimization and minimization of the total annual cost of heat exchanger network is considered as the objective function.

In this study, a novel and applied method for optimum designing of plate-finned heat exchanger network is presented. The comprehensive algorithm is applied into a case study and the results are obtained for both counter-flow and cross-flow plate-finned heat exchangers. The total annual cost and total area of the network with counter-flow heat exchangers were 12.5% and 23.27%, respectively, smaller than the corresponding values of the network with cross-flow heat exchanger.

In this paper, a reliable method is used to design, optimize parameters and the economic optimization of heat exchanger network. Taking into account the importance of plate-finned heat exchangers in industrial applications and the complexity in their geometry, the DE methodology is adopted to obtain an optimal geometric configuration. The total annual cost is chosen as the objective function. Applying this technique to a case study illustrates its capability to accurate design plate-finned heat exchangers to improve the objective function of the heat exchanger network from the economic viewpoint with the design of details.

The purpose of this paper is to develop a monitoring multiple-stream processes control chart with a finite mixture of probability distributions in the manufacture industry.

Data were collected during production of a wheat-based dough in a food industry and the control charts were developed with these steps: to collect the master sample from different production batches; to verify, by graphical methods, the quantity and the characterization of the number of mixing probability distributions in the production batch; to adjust the theoretical model of probability distribution of each subpopulation in the production batch; to make a statistical model considering the mixture distribution of probability and assuming that the statistical parameters are unknown; to determine control limits; and to compare the mixture chart with traditional control chart.

A graph was developed for monitoring a multi-stream process composed by some parameters considered in its calculation with similar efficiency to the traditional control chart.

The control chart can be an efficient tool for customers that receive product batches continuously from a supplier and need to monitor statistically the critical quality parameters.

The purpose of this paper is to present a user interface for web lectures for engaging with other users while working with video based learning content. The application allows its users to ask questions about the content and to get answers from those users that currently online are more familiar with it. The filtering is based on the evaluation of past user interaction data in time‐based media.

The work is implemented as a prototype application in the context of the Opencast Matterhorn project – an open source based project for producing, managing and distributing academic video content. The application compares users viewing behavior and allows communication with others that are good candidates to answer questions.

Different filtering approaches for identifying suitable candidates are being discussed that foster past interactions in time‐based media.

The paper shows that web lectures can benefit from user awareness ideas and presents examples of how learners can benefit from the knowledge of other users who are working with the same video based content.

User awareness has become an important feature in today's Web 2.0 experience. The paper discusses different user awareness models and explains how they can be adapted to time‐based video content. The presented work is available as a plug‐in for the Opencast Matterhorn project.

The purpose of this paper is to discuss the lean six sigma implementation process and its quantified benefits for the recycling industry. Specifically, the goals of the project were to improve the processes and increase capacity for a government operated material recovery facility (MRF) in Toledo, Ohio, USA.

The six sigma DMAIC methodology was utilized for this study. This included aligning and optimizing processes and the removal of process‐generated defects and errors.

After comparison of the current and future states of the MRF, it is found that by reducing non‐value added activities, productivity was increased by 7.3 percent for paper bales, 12.8 percent for commingled bales and 1.6 percent for old corrugated container (OCC) bales. The project generated over $65,000 in annual savings for the facility.

The findings are limited due to the focused nature of the case study and further cost‐benefit analysis can be carried out.

This paper may be useful to researchers and practitioners for understanding lean six sigma implementations and its derived benefits for the recycling industry and government operated processing facilities.

The paper is a real case study showing lean six sigma implementation and its benefits for the recycling industry; a field that has not been explored to a high degree.

Improving the use of annotations in lecture recordings.

Requirements analysis with scenario based design (SBD) on focus groups.

These seven points have been extracted from the feedback of the focus groups: (1) Control of the annotation feature (turn on/turn off). (2) An option to decide who is able to see their comments (groups, lecturer, friends). (3) An easy and paper-like experience in creating a comment. (4) An option to discuss comments. (5) An option to import already existing comments. (6) Color-coding of the different types of comments. (7) An option to print their annotations within the context of the recording.

The study was performed to improve the open-source lecture recording system Opencast Matterhorn.

Annotations can help to enable the students that use lecture recordings to move from a passive watching to an active viewing and reflecting.