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All Topic Review Biography
Topic Review
Effectiveness of Driving Simulators for Drivers’ Training
Although driving simulators could be commonly assumed as very useful technological resources for both novel and experienced drivers’ instruction under risk control settings, the evidence addressing their actual effectiveness seems substantially limited. Therefore, researchers aimed to analyze the existing original literature on driving simulators as a tool for driver training/instruction, considering study features, their quality, and the established degree of effectiveness of simulators for these purposes. Among a considerably reduced set of original research studies assessing the effectiveness of driving simulators for training purposes, most sources assessing the issue provided reasonably good insights into their value for improving human-based road safety under risk control settings. On the other hand, there are common limitations which stand out, such as the use of very limited research samples, infrequent follow-up of the training outcomes, and reduced information about the limitations targeted during the simulator-based training processes. Despite the key shortcomings highlighted here, studies have commonly provided empirical support on the training value of simulators, as well as endorsed the need for further evaluations of their effectiveness.
  • 445
  • 28 Apr 2023
Topic Review
AI for Addressing Algorithmic Bias in Job Hiring
More businesses are using artificial intelligence (AI) in curriculum vitae (CV) screening. While the move improves efficiency in the recruitment process, it is vulnerable to biases, which have adverse effects on organizations and the broader society. It recommends the need for collaboration between machines and humans to enhance the fairness of the hiring process. The results can help AI developers make algorithmic changes needed to enhance fairness in AI-driven tools. This will enable the development of ethical hiring tools, contributing to fairness in society.
  • 445
  • 20 Feb 2024
Topic Review
Internet-Based Treatments for Trauma Survivors
Internet-based treatments for trauma survivors is a growing class of online treatments that allow for an individual who has experienced trauma to seek and receive treatment without needing to attend psychotherapy in person. The progressive movement to online resources and the need for more accessible mental health services has given rise to the creation of online-based interventions aimed to help those who have experienced traumatic events. Cognitive behavioral therapy (CBT) has shown to be particularly effective in the treatment of trauma-related disorders and adapting CBT to an online format has been shown to be as effective as in-person CBT in the treatment of trauma. Due to its positive outcomes, CBT-based internet treatment options for trauma survivors has been an expanding field in both research and clinical settings.
  • 444
  • 27 Oct 2022
Topic Review
Social Affordance
Social affordance is a type of affordance. It refers to the properties of an object or environment that permit social actions. Social affordance is most often used in the context of a social technology such as Wiki, Chat and Facebook applications and refers to sociotechnical affordances. Social affordances emerge from the coupling between the behavioral and cognitive capacities of a given organism and the objective properties of its environment. Social affordances – or more accurately sociotechnical affordances – refer as reciprocal interactions between a technology application, its users, and its social context. These social interactions include users’ responses, social accessibility and society related changes. Social affordances are not synonymous with mere factual, statistical frequency; on the contrary, the social normality of primitive forms of coordination can become normative, even in primate societies. A good example clarifies social affordance as follows: “ A wooden bench is supposed to have a sit affordance. A hiker who has walked for hours and passes the wooden bench on a walk along small country roads might perceive the sit affordance of the wooden bench as a function of the degree of fatigue. A very tired hiker will sit on the wooden bench but will not lie down (unless the wooden bench also has a lie affordance). A still fit hiker, however, might not even pick up on the sit affordance of the bench and pass it. The wooden bench is in that case no more than a piece of wood with no further meaning.”
  • 444
  • 01 Nov 2022
Topic Review
Domain Name Auction
A domain name auction facilitates the buying and selling of currently registered domain names, enabling individuals to purchase a previously registered domain that suits their needs from an owner wishing to sell. A Drop registrar offers sales of expiring domains; but with a domain auction there is no need to wait until (and if) a current owner allows the registration to lapse before purchasing the domain you most want to own. Domain auction sites allow users to search multiple domain names that are listed for sale by owner, and to place bids on the names they want to purchase. As in any auction, the highest bidder wins. The more desirable a domain name, the higher the winning bid, and auction sites often provide links to escrow agents to facilitate the safe transfer of funds and domain properties between the auctioning parties.
  • 444
  • 21 Nov 2022
Topic Review
Real-Time Deep Learning-Based Drowsiness Detection
Drowsy driving can significantly affect driving performance and overall road safety. Statistically, the main causes are decreased alertness and attention of the drivers. The combination of deep learning and computer-vision algorithm applications has been proven to be one of the most effective approaches for the detection of drowsiness. Robust and accurate drowsiness detection systems can be developed by leveraging deep learning to learn complex coordinate patterns using visual data. Deep learning algorithms have emerged as powerful techniques for drowsiness detection because of their ability to learn automatically from given inputs and feature extractions from raw data. Eye-blinking-based drowsiness detection was applied, which utilized the analysis of eye-blink patterns.
  • 445
  • 07 Aug 2023
Topic Review
Agile Method, Scrum, and Software Product Line Engineering
Agile methods and software product line engineering (SPLE) are widely recognized as practical approaches for delivering high-quality software, adapting to evolving stakeholder needs, and tackling complex problems. Agile means fast, light, and dynamic. Agile methods are more effective and faster when responding to changes than traditional software development methods. Software reuse involves creating new software from existing software products that improve product quality by combining reliable and quality software components.
  • 444
  • 22 Aug 2023
Topic Review
Methods for Supervised Learning in Diagnosis of COVID-19
The methods for supervised learning in diagnosis of COVID-19 refer to the samples used for model training being labeled. The label information is fully utilized to guide network model training. The advantage is that the model accuracy can be effectively improved by learning a large amount of label information and the model is easy to evaluate. The current state of deep learning for COVID-19 classification and segmentation tasks from aspects of supervised learning is summarized, including summarizing the application of VGG, ResNet, DenseNet and lightweight networks to the classification task of COVID-19, and summarizing the application of the attention mechanism, multiscale mechanism, residual connectivity mechanism, and dense connectivity mechanism to the segmentation task of COVID-19.
  • 443
  • 22 Mar 2023
Topic Review
Digital Marketing for SMEs in Tourism
Social media has become an essential tool for travel planning, with tourists increasingly using it to research destinations, book accommodation, and make travel arrangements. Small and medium-sized enterprises’(SMEs) most common use of social media is to promote their products or services, but they can also use it to build customer relationships, provide customer service, and gather feedback.
  • 443
  • 15 Dec 2023
Topic Review
Optimizing Straw Bale Retrieval Process
During a baling operation, the operator of the baler should decide when and where to drop the bales in the field to facilitate later retrieval of the bales for transport out of the field. Manually determining the time and place to drop a bale creates extra workload on the operator and may not result in the optimum drop location for the subsequent front loader and transport unit. Therefore, there is a need for a tool that can support operators during this decision process. The key objective of this study is to find the optimal traversal sequence of fieldwork tracks to be followed by the baler and bale retriever to minimize the non-working driving distance in the field. Two optimization processes are considered for this problem. Firstly, finding the optimal sequence of fieldwork tracks considering the constraints of the problem such as the capacity of the baler and the straw yield map of the field. Secondly, finding the optimal location and number of bales to drop in the field. A simulation model is developed to calculate all the non-productive traversal distances by baler and bale retrieval in the field. In a case study, the collected positional and temporal data from the baling process related to a sample field were considered. The output of the simulation model was compared with the conventional method applied by the operators. The results show that application of the proposed method can increase efficiency by 12.9% in comparison with the conventional method with edited data where the random movements (due to re-baling, turns in the middle of the swath, reversing, etc.) were removed from the data set. 
  • 442
  • 22 Jul 2021
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