Teaching students awareness about sustainable mobility has been lacking to date. There is a need to expand the themes being addressed in order to achieve a change in attitude. Society needs to design a curriculum that teaches about sustainable mobili...
Every English language teacher should be competent enough to serve as a model of reference for students. As stipulated by the Roadmap 2015–2025, Ministry of Education, Malaysia, teachers need a minimum CEFR Level C1 qualification to teach English lan...
Pedagogical innovation involving information and communications technology (ICT) may offer teachers the opportunity to create engaging learning environments in engineering courses. In this paper, we present a gamification teaching experience whose pr...
This study explores how gamification can be incorporated when facilitating theoretical content in Computer Applications Technology (CAT) to promote self-directed learning of Generation Z learners. The CAT curriculum consists of practical and theoreti...
H-bonding has achieved massive advancements by utilizing an H-bond donor (HBD) to interact with the electron-rich site of the substrate, and an H-bond acceptor (HBA) to coordinate with the electron-deficient site. Rapid transformation is often correl...
21 June 2020
Gamification is an innovative pedagogical approach to addressing problems related to social behaviour, student motivation and academic performance at different educational stages. Therefore, this research aimed to analyse its impact on the motivation...
The problem of modelling and simulating traditional crafting actions is addressed, motivated by the goals of craft understanding, documentation, and training. First, the physical entities involved in crafting actions are identified, physically, and s...
We studied the applicability of point clouds derived from tri-stereo satellite imagery for semantic segmentation for generalized sparse convolutional neural networks by the example of an Austrian study area. We examined, in particular, if the distort...
Adversarial examples pose a severe threat to deep neural networks. They are crafted by applying imperceptible perturbations to benign inputs, causing the model to produce incorrect predictions. Most existing attack methods exhibit limited generalizat...
Convolutional Neural Network (CNN) has been widely applied in the field of synthetic aperture radar (SAR) image recognition. Nevertheless, CNN-based recognition methods usually encounter the problem of poor feature representation ability due to insuf...
Role-playing games (RPGs) have a controversial public image in several countries, including Spain. These fears lack a scientific basis, as role-playing games may be useful in education. Educational trends such as gamification are helping to change th...
In recent years, automatic tissue phenotyping has attracted increasing interest in the Digital Pathology (DP) field. For Colorectal Cancer (CRC), tissue phenotyping can diagnose the cancer and differentiate between different cancer grades. The develo...
This article examines the resurgence of a series of diverse practices from mending and sewing, to embroidery, knitting and crochet, which are traditionally situated in broader debates about gender and domestic labor but also care work, everyday life,...
In this paper we present T1K+, a very large, heterogeneous database of high-quality texture images acquired under variable conditions. T1K+ contains 1129 classes of textures ranging from natural subjects to food, textile samples, construction materia...
In sensor-based human activity recognition, many methods based on convolutional neural networks (CNNs) have been proposed. In the typical CNN-based activity recognition model, each class is treated independently of others. However, actual activity cl...
Selected biological resources used as raw materials in beer production are important drivers of innovation and segmentation in the dynamic market of craft beers. Among these resources, local/regional ingredients have several benefits, such as strengt...
Traditional textile crafts face significant challenges in preserving and transferring knowledge due to the aging of expert artisans and declining community engagement. The Phum Riang silk-weaving tradition in Suratthani Province is a critical example...
In this work, selections of seven international hop varieties and three craft beers obtained from them were analyzed by SPME-GC/MS techniques with the aim to describe their volatile chemical profile. The brewing process was also reported. Furthermore...
Modeling low level features to high level semantics in medical imaging is an important aspect in filtering anatomy objects. Bag of Visual Words (BOVW) representations have been proven effective to model these low level features to mid level represent...
This paper explores the evolution and contextual background of an 18th-century dyer’s manuscript originating in Antwerp, covering the period between 1778 and 1802. This manuscript offers a unique glimpse into the operational practices of a smal...
Mindfulness is regarded as a systematic process of shaping the innate quality of the mind primarily practised through meditation. As a result, this paper aims to uncover the nature and spirit of mindfulness practice, which should go beyond clinical i...
An important factor in the successful marketing of natural ornamental rocks is providing sets of tiles with matching textures. The market price of the tiles is based on the aesthetics of the different quality classes and can change according to the v...
Hypercrosslinked polymers (HCPs) constructed by the Friedel–Crafts alkylation reaction of aromatic compounds have emerged as a new class of porous materials with unique merit. Herein, a HCP named HCP-TPB was coated onto a capillary column throu...
Computer aided diagnosis systems can help to reduce the high mortality rate among cardiac patients. Automatical classification of electrocardiogram (ECG) beats plays an important role in such systems, but this issue is challenging because of the comp...
Artificial intelligence and especially deep learning methods have achieved outstanding results for various applications in the past few years. Pain recognition is one of them, as various models have been proposed to replace the previous gold standard...
Stroke is the second leading cause of death and disability worldwide, with ischemic stroke as the most common type. The preferred diagnostic procedure at the acute stage is the acquisition of multi-parametric magnetic resonance imaging (MRI). This ty...
The earliest foundry site of Pre-Roman Padua, in the Veneto region (north-eastern Italy), provided evidence of craft activities and residential areas dated between the end of the 9th and 1st centuries BCE. Common and fine wares were found, most of th...
Bitter peptides are a practical barrier in food-grade protein hydrolysates, fermented products, and peptide-based supplements because they can compromise flavor before nutritional or functional value is realized. Sensory panels and mass-spectrometry-...
Material classification is similar to texture classification and consists in predicting the material class of a surface in a color image, such as wood, metal, water, wool, or ceramic. It is very challenging because of the intra-class variability. Ind...
A photograph of a basketmaker and photographs of other refugee artisans published in the August 1956 issue of Interiors magazine iterated some common themes of refugee narratives during a decade of significant migration that saw the United Nations sp...
Wearable ward monitoring must eventually detect when a patient leaves the bed, yet the brief postural transitions that begin a bed exit are under-examined relative to dynamic activities. As a feasibility study, we used a public waist-worn six-axis in...
We successfully prepared two different classes of hypercrosslinked porous organic polymers (HPPs)—the tetraphenylethene (TPE) and (4-(5,6-Diphenyl-1H-Benzimidazol-2-yl)-triphenylamine (DPT) HPPs—through the Friedel−Crafts polymeriza...
In spite of the apparent rise in feminism, who gets to know about feminism is still fraught and impartial. How then, do we come to find ‘a home’ in and for feminism when it has been absent from our formative politicisation? How comfortabl...
American Folklore consists of traditional knowledge and cultural practices engaged by inhabitants of the United States below Canada and above Mexico. American folklorists were influenced by nineteenth-century European humanistic scholarship that iden...
This article presents a method to uncover universal patterns and similarities in the urban road networks of the 80 most populated cities in the world. To that end, we used degree distribution, link length distribution, and intersection angle distribu...
This study presents the synthesis, characteristics and catalytic reactivity of sustainable bifunctional heterogeneous catalysts derived from coal fly ash-based geopolymer, particularly those with a high Ca content (C-class) fly ash. The developed cat...
Craft breweries are continuously searching for beers made with locally produced raw materials and unique flavor profiles to respond to consumer requests. We explored the behavior of three commercial strains of Saccharomyces cerevisiae in the fermenta...
Artificial intelligence, particularly machine learning, has gained prominence in medical research due to its potential to develop non-invasive diagnostics. Pulmonary hypertension presents a diagnostic challenge due to its heterogeneous nature and sim...
Cocoa beans (Theobroma cacao L.) can be used for craft chocolate production, which arouses consumer interest due to their perceived better quality. This study aimed to evaluate the chemical profile of 80% artisanal chocolate samples produced with coc...
With the recent spread of mobile devices equipped with different sensors, it is possible to continuously recognise and monitor activities in daily life. This sensor-based human activity recognition is formulated as sequence classification to categori...
This paper examines fractional multi-time scale stochastic functional differential equations that, in addition, are driven by fractional noises. Based on a specially crafted fixed-point principle for the so-called “local operators”, we pr...
Molecularly imprinted polymers (MIPs) encompass a diverse array of polymeric matrices that exhibit the unique capacity to selectively identify a designated template molecule through specific chemical moieties. Thanks to their pivotal attributes, incl...
Logistics problems represent an important class of real-world problems where even small improvements in solution quality can lead to significant decreases in operational costs. However, these problems are usually NP-hard; thus, they are mostly solved...
Purpose: While traditional university programs primarily use regularly scheduled classes as the primary means for developing students, this program evaluation explores the direct effects of intensive entrepreneurial learning activity in the format of...
Housing informality in Morocco has taken root within Rabat’s formal neighborhoods, quietly reshaping façades, extending plot lines, and redrawing the texture of entire blocks. This ongoing transformation runs up against the rigidity of o...
Research has shown that both learners and teachers struggle to understand and teach geometric transformations meaningfully. This mixed-methods case study examined the efficacy of the Student Teams Achievement Division (STAD) cooperative learning mode...
Indoor scene classification plays a pivotal role in enabling social robots to seamlessly adapt to their environments, facilitating effective navigation and interaction within diverse indoor scenes. By accurately characterizing indoor scenes, robots c...
Multi-Function Radars (MFRs) are sophisticated sensors with great agility and flexibility in adapting their transmitted waveform and control parameters. The recognition of MFR work modes based on the intercepted pulse sequences plays an important rol...
The rapid expansion of internet of things (IoT) applications has significantly boosted productivity and streamlined daily activities. However, this widespread adoption has also introduced considerable security challenges, making IoT environments vuln...
Constructed response items that require the student to give more detailed and elaborate responses are widely applied in large-scale assessments. However, the hand-craft scoring with a rubric for massive responses is labor-intensive and impractical du...
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