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This paper aims to investigate if a sensory intervention of moderate pressure touch of children with sensory processing disorder (SPD) affects sleep behaviours and sensory processing behaviours.

A total of 50 children, aged 5–11 years with both SPD and sleep difficulties in Israel, were randomly divided into an experimental and a control group, nonblinded. Participants in the experimental group received three weeks of nightly massage by their parents, with a baseline week on both ends. Parents filled out questionnaires reporting on sensory and sleep behaviours and filled out a nightly sleep log. Parents determined outcome goals using goal attainment scoring. The assessment tools used were the short sensory profile and the child sleep habits questionnaire (Dunn, 1999; Owens et al., 2000).

Significant improvement was found in the total and subgroup scores of sleep participation measures including sleep onset, sleep anxiety, parasomnias, sleep duration, daytime sleepiness, as well as the total sleep score (F (1,48) = 24.71, p < 0.001).

Results of this study suggest that consistent application of moderate pressure touch as advised or trained by an occupational therapist may be used in clinical practice to improve sleep participation in children with SPD.

The US Government is challenged to maintain pace as the world’s de facto provider of space object cataloging data. Augmenting capabilities with nontraditional sensors present an expeditious and low-cost improvement. However, the large tradespace and unexplored system of systems performance requirements pose a challenge to successful capitalization. This paper aims to better define and assess the utility of augmentation via a multi-disiplinary study.

Hypothetical telescope architectures are modeled and simulated on two separate days, then evaluated against performance measures and constraints using multi-objective optimization in a heuristic algorithm. Decision analysis and Pareto optimality identifies a set of high-performing architectures while preserving decision-maker design flexibility.

Capacity, coverage and maximum time unobserved are recommended as key performance measures. A total of 187 out of 10¹⁷ architectures were identified as top performers. A total of 29% of the sensors considered are found in over 80% of the top architectures. Additional considerations further reduce the tradespace to 19 best choices which collect an average of 49–51 observations per space object with a 595–630 min average maximum time unobserved, providing redundant coverage of the Geosynchronous Orbit belt. This represents a three-fold increase in capacity and coverage and a 2 h (16%) decrease in the maximum time unobserved compared to the baseline government-only architecture as-modeled.

This study validates the utility of an augmented network concept using a physics-based model and modern analytical techniques. It objectively responds to policy mandating cataloging improvements without relying solely on expert-derived point solutions.

Efficient traffic incident management is needed to alleviate the negative impact of traffic incidents. Accurate and reliable estimation of traffic incident duration is of great importance for traffic incident management. Previous studies have proposed models for traffic incident duration prediction; however, most of these studies focus on the total duration and could not update prediction results in real-time. From a traveler’s perspective, the relevant factor is the residual duration of the impact of the traffic incident. Besides, few (if any) studies have used dynamic traffic flow parameters in the prediction models. This paper aims to propose a framework to fill these gaps.

This paper proposes a framework based on the multi-layer perception (MLP) and long short-term memory (LSTM) model. The proposed methodology integrates traffic incident-related factors and real-time traffic flow parameters to predict the residual traffic incident duration. To validate the effectiveness of the framework, traffic incident data and traffic flow data from Shanghai Zhonghuan Expressway are used for modeling training and testing.

Results show that the model with 30-min time window and taking both traffic volume and speed as inputs performed best. The area under the curve values exceed 0.85 and the prediction accuracies exceed 0.75. These indicators demonstrated that the model is appropriate for this study context. The model provides new insights into traffic incident duration prediction.

The incident samples applied by this study might not be enough and the variables are not abundant. The number of injuries and casualties, more detailed description of the incident location and other variables are expected to be used to characterize the traffic incident comprehensively. The framework needs to be further validated through a sufficiently large number of variables and locations.

The framework can help reduce the impacts of incidents on the safety of efficiency of road traffic once implemented in intelligent transport system and traffic management systems in future practical applications.

This study uses two artificial neural network methods, MLP and LSTM, to establish a framework aiming at providing accurate and time-efficient information on traffic incident duration in the future for transportation operators and travelers. This study will contribute to the deployment of emergency management and urban traffic navigation planning.

Shipping is a major source of air pollution, causing severe impacts on the environment and human health, greatly contributing to the creation of greenhouse gases and influencing climate change. The research was investigated to provide a better insight into the emission inventories in the Red River in Hanoi (Vietnam) that is often heavily occupied as the primary route for inner-city waterway traffic.

The total emissions of seven different pollutants (PM₁₀, PM_2.5, SO_x, CO, CO₂, NO_x and HC) were estimated using the SPD-GIZ emission calculation model.

The results show that CO₂ has the most significant contribution to the gas volume emitted: 103.21 tons/day. Remarkably, bulk carriers are the largest emission vehicle, accounting for more than 97% of total emissions, due to their superior number and large capacity.

The result to have a roadmap for making efforts to fulfil its commitment so that it could achieve its net-zero climate target by 2050 in Vietnam as committed at COP26.

In this research, the number of vehicles and types of vessels travelling on the Red River flowing within Hanoi territory and other activity data are reported. The tally data will be used to estimate emissions of seven different pollutants (PM₁₀, PM_2.5, SO_x, CO, CO₂, NO_x and HC) using a method combining both top-down and bottom-up approaches.

The purpose of this paper is twofold. First, it investigates the characteristics of Hanfparade 2022 – the biggest prolegalization festival in Germany – and its visitors, as well as the main reason for participation in Hanfparade. Findings are compared to those from Hanfparade 2016 to explore whether the main reason for festival attendance has changed since the legalization of medical cannabis in 2017 and since the announcement of plans for cannabis legalization. Second, this paper assesses Hanfparade participants’ views on cannabis legalization in Germany, in particular their opinions on and their preferences for retail supply options.

This study is a replication of a research conducted in 2016 at the same festival in Berlin, with a slightly adapted questionnaire. In this study, a combination of qualitative and quantitative research methods was used: observation at the festival, interviews before and after the festival with the organizer and a survey among festival attendees (n = 183).

Protest still looks relevant for the participants at Hanfparade, and the announcement of plans for legalization does not seem to downgrade this feeling. The participants have positive opinions about self-supply through home cultivation, noncommercial supply through Cannabis Social Clubs (CSCs) and commercial supply through stores similar to Dutch coffee shops. However, positive opinions do not necessarily reflect a personal preference, e.g. CSCs were very low in personal preferences. The options of home cultivation and CSCs were more popular among daily users.

This study contributes to the ongoing debate in Germany, focusing on views of cannabis users.

Purpose – This paper aims to explain the concept of post-conflict peace education that has been implemented in East Aceh.

Design/Methodology/Approach – This research used the qualitative method where data were gathered by deep interview and study of documents.

Findings – The results show that the Aceh government education agency has not yet developed a standarized concept of peace education to be implemented throught out the schools in East Aceh. However, non-governmental agencies both national and international have stepped ahead and implemented it in formal and non-formal educational institutions. UNICEF and AusAID had facilitated the preparation of a peace education textbook which was written by academicians at UIN Ar-Raniry in 2005. It has been applied to many schools in East Aceh by incorporating peace education in to Aqidah Akhlak subject.

Research Limitations/Implications – The paper does not examine students’ understanding of peace education that can be learnt by incorporating concepts of peace education.

Practical Implications – The concept of peace education is feasible to be adopted at whole senior high school in Aceh.

Originality/Value – This paper offers a new concept of peace education, the liberal peace, religious peace, and traditional values that have been integrated in one subject to be taught at once.

This paper aims to understand the discrepancy between Germany’s immediate positive response to the so-called “Europe 2015's refugee crisis“ and the strict asylum legislation adopted in Germany in the following year.

The discrepancy is attributed to external and internal forces. The external force is Germany’s obligation to adhere to the Common European Asylum System. The internal force is the role of the different policy actors. The paper focuses on the role of the media as an example of a private policy actor. Through adopting the theory of the social construction of target populations, the paper studies how the media constructs “asylum seekers”, the target of the new asylum legislation. The role of the media is analyzed using the methodology of qualitative content analysis of a selected number of newspaper articles.

The majority of the studied articles problematized receiving and hosting refugees and focused on the reason behind migration differentiating between asylum seekers fleeing conflict areas and all others who might be abusing the asylum channel. The findings of the content analysis, as such, resonate with the amendments that focused on facilitating the integration of accepted “refugees” but restricted further entry. As such, it could be argued that these findings explain the influence of the media on the amendments and as such provide an explanation to the discrepancy between the initial response and the amendments.

The analysis focused on one newspaper. The findings, as such, are not representative. The aim is only to provide an example of how the German media dealt with the refugee crisis and to suggest using the theory chosen by the paper to analyze the link between asylum legislation and the construction of asylum seekers. To understand how asylum legislation is influenced by how asylum seekers are constructed, more studies are needed. Such studies could analyze the role played by other media outputs and/or the role played by other policy actors in constructing the target of the policy.

The media’s response is based on analyzing a sample of newspaper articles published by a German newspaper following the so-called 2015 refugee crisis. Accordingly, the findings represent an original endeavor to understand how the media reacted to the crisis.

Misinformation is a significant phenomenon in today's world: the purpose of this paper is to explore the motivations behind the creation and use of misinformation.

A literature review was undertaken, covering the English and Russian language sources. Content analysis was used to identify the different kinds of motivation relating to the stages of creating and communicating misinformation. The authors applied Schutz's analysis of motivational types.

The main types of motivation for creating and facilitating misinformation were identified as “in-order-to motivations”, i.e. seeking to bring about some desired state, whereas the motivations for using and, to a significant extent, sharing misinformation were “because” motivations, i.e. rooted in the individual's personal history.

The general model of the motivations underlying misinformation is original as is the application of Schutz's typification of motivations to the different stages in the creation, dissemination and use of misinformation.