To resolve lexical disagreement problems between queries and frequently asked questions (FAQs), we propose a reliable sentence classification model based on an encoder-decoder neural network. The proposed model uses three types of word embeddings; fi...
In the past few years, intelligent virtual assistant technology has had a significant impact on our daily lives, enabling us to easily access information through simple voice commands. In this paper, we present MaQA (Manual Question Answering), an ap...
Objectives: The aim of this study was to compare the responses of large language models (LLMs)—DeepSeek V3, GPT 5, and Gemini 2.5 Flash—to patients’ frequently asked questions (FAQs) regarding root canal treatment in terms of accura...
1 September 2021
The aim of the study was to determine the opinion of society on the individual care and protection measures towards seniors during the COVID-19 pandemic. In addition, the relationship of opinions with demographic data, knowledge about aging and own e...
11 May 2018
Citizen science provides quantitative results to support environmental health assessments (EHAs), but standardized approaches do not currently exist to translate findings into actionable solutions. The emergence of low-cost portable sensor technologi...
This study aimed to develop the Food Acceptance Questionnaire (FAQ) to assess the masticatory ability of Thai older adults (≥60 years). Fifty participants were interviewed using open-ended questions about food they regularly consumed and avoided d...
In 2014, atypical myopathy (AM) was linked to Acer pseudoplatanus (sycamore maple) in Europe. The emergence of this seasonal intoxication caused by a native tree has raised many questions. This manuscript aims at answering the five most frequently as...
The exponential growth of Knowledge Graphs necessitates effective and efficient methods for their exploration and understanding. Frequently Asked Questions (FAQ) is a service that typically presents a list of questions and answers related to a specif...
Background/Objectives: Inflammation and immunological dysregulation are central to systemic lupus erythematosus (SLE), a complex autoimmune disease. Recently, there has been increasing interest in the potential role of dietary factors in SLE. This st...
Background and Objective: Logical Observation Identifiers Names and Codes (LOINC) is a universal standard for identifying laboratory tests and clinical observations. It facilitates a smooth information exchange between hospitals, locally and internat...
Background/Objectives: Sleep disturbances are prevalent among pediatric cancer survivors (PCSs) and their caregivers, often leading to poorer dietary choices and reduced physical activity. Additionally, the sleep quality and health behaviors of paren...
The term “Frequently asked questions” (FAQ) refers to a query that is asked repeatedly and produces a manually constructed response. It is one of the most important factors influencing customer repurchase and brand loyalty; thus, most ind...
Background/Objectives: This study aimed to systematically evaluate the accuracy and clinical relevance of ChatGPT-4’s answers to a set of questions on upper tract urothelial carcinoma (UTUC) as adjudged by expert urologists. To juxtapose perfor...
Background/Objectives: Sacral neuromodulation (SNM) is an established therapy for refractory overactive bladder and non-obstructive urinary retention. With the rapid adoption of large language models (LLMs) such as ChatGPT, their accuracy in procedur...
The increasing integration of Artificial Intelligence (AI) in education has led to the development of innovative tools like Intelligent Question-Answering Systems (IQASs), aiming to revolutionize traditional learning paradigms. However, many existing...
22 July 2021
Due to the ageing population, nursing students will be more likely to work with older adults after graduation. It is important to assess whether Hong Kong nursing students are well prepared to care for older adults. A convenience sample of 139 nursin...
Robot assisted gait training (RAGT) and virtual reality plus treadmill training (VRTT) are two technologies that can support locomotion rehabilitation in children and adolescents affected by acquired brain injury (ABI). The literature provides eviden...
Objectives: This study aimed to evaluate the performance of three widely used artificial intelligence (AI) chatbots—ChatGPT-4, Gemini 2.5 Pro, and Claude Sonnet 4—in answering patient-oriented frequently asked questions (FAQs) related to...
This paper describes how we tackled the development of Amaia, a conversational agent for Portuguese entrepreneurs. After introducing the domain corpus used as Amaia’s Knowledge Base (KB), we make an extensive comparison of approaches for automa...
One of the main Frequently Asked Questions (FAQs) in project management for built environment or physical infrastructure projects is “How will this project scope be delivered on time and under budget, addressing health and safety in a sustainab...
A model Anticorruption Protocol to the United Nations Convention against Corruption (APUNCAC) would implement international requirements to report the beneficial ownership of funds involved in certain financial transactions. The purpose is to discour...
Crowdfunding has gained popularity among entrepreneurs who seek funding for their business projects on crowdfunding platforms. The success of these campaigns largely depends on the ability to attract and convince backers to support the fundraising in...
Virtual reality (VR) immersive technology allows users to experience enhanced reality using human–computer interfaces (HCI). Many systems have implemented VR with improved HCI to provide strategic market advantages for industry and engineering...
Background/Objectives: Exposure to older adults has been shown to influence the formation of attitudes toward this demographic. This raises the question of whether such exposure affects the relationship between the knowledge of ageing and attitudes t...
With the advancement of artificial intelligence and educational informatization, there is a growing demand for intelligent teaching assistance systems in universities. Focusing on the university “Algorithms” course in the computer science...
Accurate generative chatbots are usually trained on large datasets of question–answer pairs. Despite such datasets not existing for some languages, it does not reduce the need for companies to have chatbot technology in their websites. However,...
Intent recognition is a key component of any task-oriented conversational system. The intent recognizer can be used first to classify the user’s utterance into one of several predefined classes (intents) that help to understand the user’s...
Question generation (QG) is a natural language processing (NLP) problem that aims to generate natural questions from a given sentence or paragraph. QG has many applications, especially in education. For example, QG can complement teachers’ effo...
Multiple Sclerosis (MS) is a neurodegenerative disease characterized by motor and non-motor symptoms, including emotional distress, anxiety, and depression. These emotional symptoms currently have a pharmacological treatment with limited effectivenes...
Preclinical and observational research suggests green leafy vegetables (GLVs) may reduce the risk of red meat (RM)-induced colonic DNA damage and colon cancer (CC). We sought to determine the feasibility of a high GLV dietary intervention in adults w...
Electronic Health Records (EHRs) have enhanced access to medical information but have also introduced challenges for healthcare providers, such as increased documentation workload and reduced face-to-face interaction with patients. To mitigate these...
Rapid increase in conversational AI and user chat data lead to intensive development of dialogue management systems (DMS) for various industries. Yet, for low-resource languages, such as Azerbaijani, very little research has been conducted. The main...
Background/Objectives: Older adults are disproportionately affected by traumatic brain injuries (TBIs), representing a significant portion of TBI-related hospitalizations and deaths. The objective of this study was to evaluate the feasibility and eff...
Background: Predicting cognition decline in patients with mild cognitive impairment (MCI) is crucial for identifying high-risk individuals and implementing effective management. To improve predicting MCI-to-AD conversion, it is necessary to consider...
(1) Background: Alzheimer’s disease (AD), an age-progressive neurodegenerative disease that affects cognitive function, causes changes in the functional connectivity of the default-mode network (DMN). However, the question of whether AD-related...