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Additive manufacturing (AM) technologies have recently turned into a mainstream production method in many industries. The adoption of new manufacturing scenarios led to the necessity of cross-disciplinary developments by combining several fields such as materials, robotics and computer programming. This paper aims to describe an innovative solution for implementing robotic simulation for AM experiments using a robot cell, which is controlled through a system control application (SCA).

For this purpose, the emulation of the AM tasks was executed by creating a robot working station in RoboDK software, which is responsible for the automatic administration of additive tasks. This is done by interpreting gcode from the Slic3r software environment. Posteriorly, all the SCA and relevant graphical user interface (GUI) were developed in Python to control the AM tasks from the RoboDK software environment. As an extra feature, Slic3r was embedded in the SCA to enable the generation of gcode automatically, without using the original user interface of the software. To sum up, this paper adds a new insight in the field of AM as it demonstrates the possibility of simulating and controlling AM tasks into a robot station.

The purpose of this paper is to contribute to the AM field by introducing and implementing an SCA capable of executing/simulating robotic AM tasks. It also shows how an advanced user can integrate advanced simulation technologies with a real AM system, creating in this way a powerful system for R&D and operational manufacturing tasks. As demonstrated, the creation of the AM environment was only possible by using the RoboDk software that allows the creation of a robot working station and its main operations.

Although the AM simulation was satisfactory, it was necessary to develop an SCA capable of controlling the whole simulation through simple commands instructed by users. As described in this work, the development of SCA was entirely implemented in Python by using official libraries. The solution was presented in the form of an application capable of controlling the AM operation through a server/client socket connection. In summary, a system architecture that is capable of controlling an AM simulation was presented. Moreover, implementation of commands in a simple GUI was shown as a step forward in implementation of modern AM process controls.

Research consultations are a long-established means of providing support to students undertaking research activities (Stapleton et al., 2020). The literature on research consultations consistently reports high levels of satisfaction and that students value the individual, bespoke advice received via one-on-one librarian tuition. However, research consultations are resource-intensive and maximising the learning potential of consultations is a priority to justify the expenditure of time and ensure the sustainability of services. This study reports on the outcomes of a service development where students attending research consultations were offered a screencast recording of their appointment to support retention and application of information literacy skills and research processes covered in the research consultation. The study explored student use and perceptions of the service and how the recording of the appointment was integrated into research practices.

The study used a mixed-method approach including a questionnaire and interviews. Quantitative elements explored if and how students engaged with recordings made during research consultations while qualitative elements investigated students' perceptions of the service and how content from the recordings was used to complete research activities.

Findings indicated a high degree of positive feedback on the service and reveal complex user behaviours when using appointment recordings. The study demonstrates that the addition of multimedia recording during individual research consultations (IRCs) may offer significant benefits to students by improving knowledge retention and application and for librarians by reducing follow-up enquiries and increased engagement with the service.

The findings of this study give an evidential basis for library and reference services interesting in incorporating synchronous recording into a research consultation service.

This study is believed to be the first to investigate the perceptions and use of synchronous recording of research consultations between librarians and students.

This paper aims to present Long4Cloud (long-running workflows execution environment for cloud), a distributed and adaptive LRW execution environment delivered “as a service” solution.

LRWs last for hours, days or even months and their duration open the possibility of changes in business rules, service interruptions or even alterations of formal regulations of the business before the workflow completion. These events can lead to problems such as loss of intermediary results or exhaustion of computational resources used to manage the workflow execution. Existing solutions face those problems by merely allowing the replacement (at runtime) of services associated with activities of the LRW.

LONG4Cloud extends the previous works in two main aspects, namely, the inclusion of dynamic reconfiguration capabilities and the adoption of an “as a service” delivery mode. The reconfiguration mechanism uses quiescence principles, data and state management and provides multiple adaptive strategies. Long4Cloud also adopts a scenario-based analysis to decide the adaptation to be performed. Events such as changes in business rules or service failures trigger reconfigurations supported by the environment. These features have been put together in a solution delivered “as a service” that takes advantage of cloud elasticity and allows to better allocate cloud resources to fit into the demands of LRWs.

The original contribution of Long4Cloud is to incorporate adaptive capabilities into the LRW execution environment as an effective way to handle the specificities of this kind of workflow. Experiments using current data of a Brazilian health insurance company were carried out to evaluate Long4Cloud and show performance gains in the execution of LRWs submitted to the proposed environment.

The purpose of this paper is to examine an Iranian mathematics lesson through the eyes of Japanese educators, and the critiques of Iranian teachers for raising the quality of teaching. In this paper, the Japanese lesson study process is considered as an approach to raising the quality of teaching.

Qualitative methods including pre-lesson planning, peer observation of the lesson, post-lesson discussion, and semi-structured interviews with the participants of the post-lesson discussion meetings in Iran and Japan were employed for data collection. A detailed description and analysis of the lesson is provided for deep understanding of students’ mathematical communication in the class and teachers’ points of view in the post-lesson discussions about raising the quality of teaching.

The findings are intended to clarify the significant influence that cross-cultural analysis has exerted on raising the quality of teaching and developing a culture of transnational learning that supports teachers to design appropriate learning tasks, to conceptualize mathematical phenomena, and to provide mathematical communication which encourage students to participate more in classroom activities.

This study provides a transnational learning opportunity for Iranian teachers to learn from Japanese educators how to deliver evidence-based analysis of a lesson for raising the quality of teaching in practice, look culturally and differently at what actually goes on in the classroom, and localize lesson study as a global approach to the “science of improvement.” However, issues to be considered in future studies include how such “small changes” can be linked together in local communities to expand the improvement from bottom up, and how to facilitate collaboration with the global community to expand transnational learning.

Traditionally in Iran, there are a variety of teacher training programs but there are no examples of lesson study like those that take place in Japan as a model of practitioner inquiry for raising quality of teaching. Hence, it can be said that Japanese lesson study may provide a new approach of transnational learning in the Iranian education context for building a “science of improvement.”

In the case of Iran, especially at the elementary school level, teachers do not have enough preparation or experience. Therefore, raising the quality of teaching through lesson study that has an actual impact on teacher and teaching quality and developing a “science of improvement” has become a pressing concern in national and international contexts.

The case study shows that the transfer of the Japanese model of lesson study plays a significant role in harnessing the potential of students and teachers as well as teachers themselves by improving teaching. Efforts by teachers to communicate and learn from each other’s strengths, in fact lead to the realizing of the students potential and thinking process. In particular, it helps supply more open-end and in-depth task learning, which anticipates student thinking, understanding, recognizing and questioning.

The purpose of this paper is to examine learning.

The paper reviews an article in learning and effective training, which identifies and debunks myths about tried and tested approaches for more sustained learning. It then offers a number of alternative methods.

The paper finds that the trainer/teacher should not just preach to his/her audience, but instead watch, respond and encourage his/her pupils.

The paper provides useful information on the practice of effective training.

This study aims to evaluate the feasibility of a hybrid fire testing by real-time subdivision of physical and numerical substructures (NSs) on simplified structures as a milestone in the development of the method.

An interface where the data was exchanged between a finite element software and a hydraulic jack regulator using text files has been developed and applied to perform two experimental campaigns of nine tests on simple steel frame structures with different thermal loading conditions. In the first experimental campaign, the physical substructure (PS) was assumedly protected by insulating material, while the NS was uniformly exposed to ISO 834 fire on all sides. The difference of the second experimental campaign from the first one was that the PS was heated on one side.

The experimental results showed how a gap between the determined equilibrium position and the “real” position caused by the time lag, as well as an overshoot phenomenon due to the non-synchronized action of both substructures, may occur. From the identification of the overshoot, two paths of development spring to mind to reduce the delay of the NS.

In the context that the number of proposal theoretical algorithms continues to increase with the absence of real experimental adjustments, such experimental results and the associated analysis constitute additional understandings to identify possible paths of improvements that might have been missed or could not be accessed through previous studies.

The number of universities offering Master of Translation and Interpreting (MTI) in China has increased to 316 in 15 years. This paper aims to take a closer look at the production patterns of experimental report theses in terms of total number, distribution across universities, supervision model and research content, reflects on the problems and suggests improvements, provides a reference for MTI education in China and beyond.

This paper presents a bibliometric analysis of the published final theses of experimental reports for the MTI in China between the years 2012 and 2022, the period during which this type of thesis was produced, to identify the production patterns of these theses.

The number of experimental reports published by the nine leading universities accounts for 80% of the total 296 papers. The uneven development is also reflected in the supervision model and research content. Most universities can structure the main content of theses according to the suggestions of the MTI Guidance Training Outline. However, there are still deficiencies in the areas of experimental design, experimental validity, research questions and academic standards.

This paper reflects on the problems of MTI theses of experimental reports. Also, suggestions are made for linking top-level design and university education, for joint progress in faculty development and talent training and for integrating industrial aspects and international visions, to provide a reference for MTI education in China and beyond.

This paper aims to deal with the human activity recognition using human gait pattern. The paper has considered the experiment results of seven different activities: normal walk, jogging, walking on toe, walking on heel, upstairs, downstairs and sit-ups.

In this current research, the data is collected for different activities using tri-axial inertial measurement unit (IMU) sensor enabled with three-axis accelerometer to capture the spatial data, three-axis gyroscopes to capture the orientation around axis and 3° magnetometer. It was wirelessly connected to the receiver. The IMU sensor is placed at the centre of mass position of each subject. The data is collected for 30 subjects including 11 females and 19 males of different age groups between 10 and 45 years. The captured data is pre-processed using different filters and cubic spline techniques. After processing, the data are labelled into seven activities. For data acquisition, a Python-based GUI has been designed to analyse and display the processed data. The data is further classified using four different deep learning model: deep neural network, bidirectional-long short-term memory (BLSTM), convolution neural network (CNN) and CNN-LSTM. The model classification accuracy of different classifiers is reported to be 58%, 84%, 86% and 90%.

The activities recognition using gait was obtained in an open environment. All data is collected using an IMU sensor enabled with gyroscope, accelerometer and magnetometer in both offline and real-time activity recognition using gait. Both sensors showed their usefulness in empirical capability to capture a precised data during all seven activities. The inverse kinematics algorithm is solved to calculate the joint angle from spatial data for all six joints hip, knee, ankle of left and right leg.

This work helps to recognize the walking activity using gait pattern analysis. Further, it helps to understand the different joint angle patterns during different activities. A system is designed for real-time analysis of human walking activity using gait. A standalone real-time system has been designed and realized for analysis of these seven different activities.

The data is collected through IMU sensors for seven activities with equal timestamp without noise and data loss using wirelessly. The setup is useful for the data collection in an open environment outside the laboratory environment for activity recognition. The paper also presents the analysis of all seven different activity trajectories patterns.

This paper aims to explore the possibilities in using such national, statutory data sets for evaluating change and the challenges of understanding service patterns and outcomes in complex cases when only a limited view can be gained using existing data. The discussion also explores how methodologies can adapt to an evaluation in these circumstances.

This paper examines the use of data routinely collected by local authorities (LAs) as part of the evaluation of innovation. Issues entailed are discussed and illustrated through two case studies of evaluations conducted by the research team within the context of children’s social care in England.

The quantitative analysis of LA data can play an important role in evaluating innovation but researchers will need to address challenges related to: selection of a suitable methodology; identifying appropriate comparator data; accessing data and assessing its quality; and sustaining and increasing the value of analytic work beyond the end of the research. Examples are provided of how the two case studies experienced and addressed these challenges.

• Quasi-experimental methods can be beneficial tools for understanding the impact of innovation in children’s services, but researchers should also consider the complexity of children’s social care and the use of mixed and appropriate methods. • Those funding innovative practice should consider the additional burden on those working with data and the related data infrastructure if wishing to document and analyse innovation in a robust way. • Data, which may be assumed to be uniform may in fact not be when considered at a multi-area or national level, and further study of the data recording practice of social care professionals is required.

The paper discusses some common issues experienced in quasi-experimental approaches to the quantitative evaluation of children’s services, which have, until recently, been rarely used in the sector. There are important considerations, which are of relevance to researchers, service leads in children’s social care, data and performance leads and funders of innovation.

This paper aims to identify and quantify the effects of additive manufacturing (AM) process interruption on the tensile strength of material extrusion parts, and to find solutions to mitigate it.

Statistical analysis was performed to compare the tensile strength of specimens prepared with different process interruption time durations and different embedding methods. Subsequently, specimens were reheated at the paused layer before resuming, and tensile strengths were analyzed to observe any improvements.

Process interruption significantly reduced the tensile strength of printed parts by 48 per cent compared to non-interrupted specimens. Reheating the paused layer immediately before resuming the print improved part strength significantly by 47 per cent compared to regular process interrupted specimens and by 90 per cent compared to specimens with embeds.

The layer-by-layer deposition of material in AM introduces the capability for in situ embedding of functional components into printed parts. This paper shows that tensile properties are degraded during embedding due to the need for process interruption. These effects can be addressed by reheating the paused layer, providing process guidance for embedding with AM.

This paper provides an understanding of process interruption and embedding effects on mechanical properties of the parts, and how to improve them. The results from this experimental analysis provide crucial information toward design guidelines for multi-functional AM with embedded components.