This work has come about as a result of an attempt to improve educational practices by taking advantage of research experience in the field of additive manufacturing technologies. As a result of the work carried out, an open educational resources pro...
The emerging problems of plastic pollution and the mismanagement of plastic waste highlight the need to find a solution that involves adopting a systematic perspective. Capacity development is recognized as an approach that can tackle these problems...
The design of sound-insulation schemes requires the development of new materials and structures while also paying attention to their laying order. If the sound-insulation performance of the whole structure can be improved by simply changing the layin...
Patient decontamination is the act of removing or neutralising hazardous substances from an affected individual. To ensure adequate emergency preparedness, regulations require hospitals to train personnel in decontamination procedures regularly. To s...
22 March 2020
Lectures are the most commonly used training method but may not be effective in communicating safety information among migrant workers because of language and cultural barriers. The comprehension of safety information is particularly urgent in highly...
10 February 2023
Disabled children living in orphanages in low-income countries may not have access to the therapy they need. The COVID-19 pandemic has complicated the situation dramatically, making online training activities a possible innovative option to meet the...
Synthetic training data is often essential for neural-network-based segmentation when real datasets are difficult or impossible to obtain. Conventional synthetic data generation relies on manually selecting scene and material parameters. This can lea...
The objective of the present report was to develop and validate a simple, sensitive, and selective analytical method for the determination of methamphetamine in an odor-adsorbent material (gauze) which was used to improve and standardize the training...
For surgical catheterization training applications, realistic and effective materials are desired. In this study, the relevance of a needle puncture angle and a simulated wall stress on different elastic materials were determined in a previously deve...
Higher education is increasingly emphasizing sustainable development due to the growing awareness of environmental issues. Educators must be able to integrate sustainability principles into teaching, inspire students to behave responsibly, and promot...
3 November 2020
This study aimed to assess the effect of systematic self-observation, hetero-observational feedback, and feedforward and intrinsic feedback (SsObserWork components) on workers’ knowledge and behaviour of a manual material handling (MMH) techniq...
18 January 2021
The list of indicators is a form of training material used for the Supports Intensity Scale—Children’s version (SIS-C). It is aimed at helping interviewers distinguishing between extraordinary and age-related typical support needs in chil...
The paper deals with the possibilities of using Virtual Reality in the training and safety of enterprises active in the raw materials industry. It examines the influence and impact on their employees. The main impetus for starting research in this ar...
19 November 2009
This study was conducted in three stages in a semi-rural region of Eskisehir, Turkey. In the first stage, individuals selected by random sampling were evaluated for cardiovascular disease risk factors. In the second stage, Group I and Group II traini...
Ensuring the safety and quality of poultry products requires efficient detection and removal of foreign materials during processing. Hyperspectral imaging (HSI) offers a non-invasive mechanism to capture detailed spatial and spectral information, ena...
Inclusive education is an issue of great interest and social and pedagogical significance in the quality of the education system. Its impact on the context, reality and training of teachers is a decisive impulse to build an open mind in relation to d...
Climate change will impose increasingly warm and dry conditions on vineyards. Wine quality and yield are strongly influenced by climatic conditions and depend on complex interactions between temperatures, water availability, plant material, and vitic...
While traction energy is the main energy used in passenger trains, the energy required to condition the passenger area is significant and can account for up 40% of the total energy use. Due to space constraints, passenger train envelopes are usually...
This paper examines the visions and the roles of community training centers (CTCs) in community development and housing provision in developing countries from the perspective of assisted self-help housing. It reviews a Korean community center that co...
As a key component of the train braking system, the comprehensive performance of brake discs plays a vital role in ensuring the operational safety of trains. With the advent of high-speed and heavy-haul trains, the thermal energy generated by braking...
The research on wheel–rail relationship includes the basic theoretical models and corresponding numerical methods of wheel–rail in rolling contact, geometric parameter matching and material matching of them, friction and wear, wheel&ndash...
There has been a growing policy interest in establishing connections between heritage and education. Nevertheless, there seems to be very little evaluation or critical reflection on what actually happens in practice, and it remains unclear how herita...
The aim of the study was the qualitative assessment of new materials based on a polycarbonate matrix in terms of its use in 3D printing and its processing and geometric modification (cutting). Filaments made of the new material doped with talc in fiv...
The High Throughput Truthing project aims to develop a dataset for validating artificial intelligence and machine learning models (AI/ML) fit for regulatory purposes. The context of this AI/ML validation dataset is the reporting of stromal tumor-infi...
7 December 2019
Background: There is greater dissatisfaction with health services by LGBT people compared to heterosexual and cisgender people and some of this is from lack of equality and diversity training for health professionals. Core training standards in sexua...
This article describes an approach to evaluating the structural properties of samples manufactured through 3D printing via active infrared thermography. The mentioned technique was used to test the PETG sample, using halogen lamps as an excitation so...
The stability and reliability of braking system are essential factors for the safe operation of high-speed trains. In the proposed work, tribological properties of a newly developed brake disc material namely BD-1 were studied considering the thermal...
Within the framework of a circular economy, we aim to efficiently use raw materials and reduce waste generation. In this context, the longevity of biomimetic material systems can significantly contribute by providing robustness and resilience of syst...
Shearography is a non-destructive defect detection technique that, when combined with neural networks, can efficiently and accurately detect near-surface defects in composite materials. However, the high cost of the dataset significantly limits the a...
The main argument defended in this article is that the involvement of teachers in decision-making about environmental aspects related to the management of educational institutions constitutes a powerful tool for training, teacher professional develop...
(1) While three-dimensional (3D) printing technology is increasingly being used for the fabrication of high-fidelity, patient-specific aortic models, data on the mechanical properties of polymers are sparse. Therefore, the aim of this study was to id...
In language learning, adults seem to be superior in their ability to memorize knowledge of new languages and have better learning strategies, experiences, and intelligence to be able to integrate new knowledge. However, unless one learns pronunciatio...
Farm Advisory constitutes one of the most important tools to support rural development in the European Union and is also an integral part of Agricultural Knowledge and Innovation System (AKIS). The purpose of this paper is to present the results of t...
In this paper, the fatigue resistance of superelastic NiTi shape memory alloy (SMA) wires was improved by combining mechanical training and nanocrystallization. Fatigue tests were performed after mechanical training with a peak stress of 600 MPa for...
8 April 2022
Looking through the lens of ecological system theory, this paper used a mixed-method approach, based on 20 interviews and 208 Early Childhood Education (ECE) teacher questionnaires, to elaborate the position of ECE in Pakistan. The study indicates th...
The interaction of a developed train of gravity deep water waves with suddenly applied winds is investigated in this manuscript. The direction of the wind is the same as that of the wave train (i.e., following) and its imposed surface shear stress is...
Daily pre-work safety training for workers is essential due to their exposure to various hazardous factors. However, existing training methods often fail to effectively deliver information in a way that supports workers’ learning and comprehens...
Data4HumanRights’ training materials have been developed as open-source and tailored to limited-resource settings, where community data collectors often live and work. Access to training on data collection, analysis, and visualisation to suppor...
Along with simulated firefighting training, the development of virtual training systems and associated content has recently drawn attention as an alternative method for advanced firefighting training. In particular, to develop virtual training conten...
As one of the most studied materials, perovskites exhibit a wealth of superior properties that lead to diverse applications. Computational prediction of novel stable perovskite structures has big potential in the discovery of new materials for solar...
The primary objective of this study is to explore how machine learning techniques can be incorporated into the analysis of material deformation. Neural network algorithms are applied to the study of mechanical properties of wire rods subjected to col...
Artificial intelligence has been widely applied in image recognition and segmentation, achieving significant results. However, its application in the field of materials science is relatively limited. Metallography is an important technique for charac...
A pantograph is a key component on the tops of trains that allows them to efficiently tap electricity from power lines and propel them. This study investigates the possibility of using metal matrix composites (MMCs), specifically aluminum MMCs, as a...
This study proposes FSMR, a material recognition scheme designed to expand context information about locations in context recognition services. FSMR identifies the material in contact with the smartphone and determines the object based on this inform...
(1) Purpose: In modern society, augmented reality (AR)-based training using a smart device has emerged as a means of resolving problems with training. Thus, this feasibility study aimed to identify the effects of tooth-brushing training, based on AR...
Neurosurgery is one of the medical specialties in which the practical training of students is more limiting since it requires a high degree of preparation for the interventions to be satisfactory. That is why the manufacture of synthetic models throu...
Spectral reflectance reconstruction for multispectral images (such as Weiner estimation) may perform sub-optimally when the object being measured has a texture that is not in the training set. The accuracy of the reconstruction is significantly lower...
Multilayer Laue lenses (MLLs) made from WC and SiC were previously used to focus megahertz X-ray pulse trains of the European XFEL free-electron laser, but suffered damage with trains of 30 pulses or longer at an incident fluence of about 0.13 J/cm2...
This article applies object detection to CCTV video material to investigate the potential of using machine learning to automate behavior tracking. This study includes video tapings of two captive Bornean orangutans and their behavior. From a 2 min tr...
In this study, modelling of microhardness values by means of artificial neural networks of Al/SiCp metal matrix composite material couples with diffusion method and manufactured by powder metallurgy process, were obtained using a backpropagation neur...
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