How to determine hands' vibration perception thresholds - a systematic review.

The vibration perception threshold (VPT) is the minimum amplitude required for conscious vibration perception. VPT assessments are essential in medical diagnostics, safety, and human-machine interaction technologies. However, factors like age, health conditions, and external variables affect VPTs.

A maturity model for omnichannel adoption in health care institutions.

Omnichannel adoption in healthcare service has recently become widely discussed as healthcare institutions struggle to keep up with changing patient expectations and technological advances. However, the need for a standard model for addressing this issue has left many healthcare institutions working to implement effective strategies. This study aims to establish a comprehensive model to evaluate adopting an omnichannel strategy in healthcare.

Osteoporosis and Apical Periodontitis Prevalence: A Systematic Review.

Osteoporosis is a common systemic bone disorder in the elderly, characterized by low bone mineral density and deterioration of bone structure. Apical periodontitis is an inflammatory response to the microbial infection of root canals, typically characterized by apical bone destruction surrounding the tooth's apex. This systematic review aimed to determine if osteoporosis affects the prevalence of apical periodontitis in adults.

Prediction of pollutant emission characteristics in ISO50001 energy management in the Americas: Uni and multivariate machine learning approach.

The American continent is experiencing significant economic and industrial development driven by sustainability principles. In this context, discussions on improving energy consumption have become increasingly frequent and dynamic across various sectors of civil society, including the implementation of energy efficiency measures as advocated by the ISO energy management standard. However, there is a pressing need to investigate which socioeconomic aspects are responsible for the issuance of this certification in the Americas and how these factors relate to characteristic industrial emissions, especially particulate matter.

Online yarn hairiness- Loop & protruding fibers dataset.

This paper introduces an online dataset focused on detecting hairiness in yarn, including loop and protruding fibers. The dataset is designed for use in assessing artificial intelligence algorithms. The dataset consists of 684 original images.

An Overview of Omnichannel Interaction in Health Care Services.

The adoption of omnichannel interaction services in health care can bring significant benefits to both health care institutions and their patients. The ongoing health pandemic caused by coronavirus disease has further emphasized the need for health care providers to implement an omnichannel strategy to provide seamless personalized experiences to their patients through multiple access channels. This study aimed to examine the current state of research on omnichannel interaction services in health care with a focus on the benefits, challenges, and issues that health care institutions may encounter when adopting this strategy.

Empowering Deaf-Hearing Communication: Exploring Synergies between Predictive and Generative AI-Based Strategies towards () Sign Language Interpretation.

Communication between Deaf and hearing individuals remains a persistent challenge requiring attention to foster inclusivity. Despite notable efforts in the development of digital solutions for sign language recognition (SLR), several issues persist, such as cross-platform interoperability and strategies for tokenizing signs to enable continuous conversations and coherent sentence construction. To address such issues, this paper proposes a non-invasive Portuguese Sign Language ( or LGP) interpretation system-as-a-service, leveraging skeletal posture sequence inference powered by long-short term memory (LSTM) architectures.

Systemic relations among the variables involved in occupational accidents of the nursing team in a psychiatric hospital.

Background: The occupational activities carried out in hospital environments pose occupational risks to professionals. In psychiatric hospitals, due to the characteristics of the patients treated, professionals are also subjected to other risks, such as physical aggression.

Objective: This research aimed to identify the systemic context, highlighting the cause-and-effect relationships that culminate in occupational accidents that occurred with the nursing staff in a psychiatric hospital in Brazil.

Psychosocial Risks in Teachers from Portugal and England on the Way to Society 5.0.

Being a teacher is one of the most demanding jobs, as a result of this responsibility, these workers face many psychosocial risks. This study aims to characterize and compare psychosocial factors in Portuguese and British teachers and discuss how new developments in technology, namely digital technology can improve education and, in particular, contribute to fewer issues related to mental health. The Copenhagen Psychosocial Questionnaire Medium Version (COPSOQ II) was applied to the teachers of six Portuguese schools (three public schools and three private schools), three British public schools and three private schools with an international British curriculum (Switzerland, Spain and Portugal).

Calibration Assessment of Low-Cost Carbon Dioxide Sensors Using the Extremely Randomized Trees Algorithm.

As the monitoring of carbon dioxide is an important proxy to estimate the air quality of indoor and outdoor environments, it is essential to obtain trustful data from CO sensors. However, the use of widely available low-cost sensors may imply lower data quality, especially regarding accuracy. This paper proposes a new approach for enhancing the accuracy of low-cost CO sensors using an extremely randomized trees algorithm.

Older People Living Alone: A Predictive Model of Fall Risk.

Falls in older people are a result of a combination of multiple risk factors. There are few studies involving predictive models in a community context. The aim of this study was to determine the validation of a new model for predicting fall risk in older adults (65+) living alone in community dwellings (n = 186; n = 117) with a test-retest reliability study.

Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?

To travel in leisure is an emotional experience, and therefore, the more the information about the tourist is known, the more the personalized recommendations of places and attractions can be made. But if to provide recommendations to a tourist is complex, to provide them to a group is even more. The emergence of personality computing and personality-aware recommender systems (RS) brought a new solution for the cold-start problem inherent to the conventional RS and can be the leverage needed to solve conflicting preferences in heterogenous groups and to make more precise and personalized recommendations to tourists, as it has been evidenced that personality is strongly related to preferences in many domains, including tourism.

Managing Nanomaterials in the Workplace by Using the Control Banding Approach.

Nanomaterials offer new technical and commercial opportunities. However, they may also pose risks to consumers and the environment and raise concerns about occupational health and safety. An overview of the standardization in the area of nanomaterials is presented.

Using Object Detection Technology to Identify Defects in Clothing for Blind People.

Blind people often encounter challenges in managing their clothing, specifically in identifying defects such as stains or holes. With the progress of the computer vision field, it is crucial to minimize these limitations as much as possible to assist blind people with selecting appropriate clothing. Therefore, the objective of this paper is to use object detection technology to categorize and detect stains on garments.

Low carbon futures: assessing the status of decarbonisation efforts at universities within a 2050 perspective.

Background: The implementation of sustainability at universities means that they can also play a key role in the transition to a low carbon economy, and in assisting global efforts towards decarbonisation. Yet, not all of them have so far fully engaged in this area. This paper reviews the state of the art on trends in decarbonisation, and outlines the need for decarbonisation efforts at universities.

Capturing the attentional response to clinical auditory alarms: An ERP study on priority pulses.

Clinical auditory alarms are often found in hospital wards and operating rooms. In these environments, regular daily tasks can result in having a multitude of concurrent sounds (from staff and patients, building systems, carts, cleaning devices, and importantly, patient monitoring devices) which easily amount to a prevalent cacophony. The negative impact of this soundscape on staff and patients' health and well-being, as well as in their performance, demand for accordingly designed sound alarms.

Signal Processing and Machine Learning for Smart Sensing Applications.

The Special Issue "Signal Processing and Machine Learning for Smart Sensing Applications" focused on the publication of advanced signal processing methods by means of state-of-the-art machine learning technologies for smart sensing applications [...

Data Acquisition Filtering Focused on Optimizing Transmission in a LoRaWAN Network Applied to the WSN Forest Monitoring System.

Developing innovative systems and operations to monitor forests and send alerts in dangerous situations, such as fires, has become, over the years, a necessary task to protect forests. In this work, a Wireless Sensor Network (WSN) is employed for forest data acquisition to identify abrupt anomalies when a fire ignition starts. Even though a low-power LoRaWAN network is used, each module still needs to save power as much as possible to avoid periodic maintenance since a current consumption peak happens while sending messages.

Algorithm Recommendation and Performance Prediction Using Meta-Learning.

In the last years, the number of machine learning algorithms and their parameters has increased significantly. On the one hand, this increases the chances of finding better models. On the other hand, it increases the complexity of the task of training a model, as the search space expands significantly.

Models and methods for information systems project success evaluation - A review and directions for research.

Organizations heavily rely on information systems to improve their efficiency and effectiveness. However, on the one hand, information systems projects have often been seen as problematic endeavors. On the other hand, one can ask if this perspective results from subjective perceptions or objective assessments.

Collection of a Continuous Long-Term Dataset for the Evaluation of Wi-Fi-Fingerprinting-Based Indoor Positioning Systems.

Indoor positioning and navigation have been attracting interest from the research community for quite some time. Nowadays, new fields, such as the Internet of Things, Industry 4.0, and augmented reality, are increasing the demand for indoor positioning solutions capable of delivering specific positioning performances not only in simulation but also in the real world; hence, validation in real-world environments is essential.

Editorial for the Special Issue on Micro/Nanofluidic and Lab-on-a-Chip Devices for Biomedical Applications.

Micro/Nanofluidic and lab-on-a-chip devices have been increasingly used in biomedical research [...

Optical Fiber Sensors and Sensing Networks: Overview of the Main Principles and Applications.

Optical fiber sensors present several advantages in relation to other types of sensors. These advantages are essentially related to the optical fiber properties, i.e.