Artificial Intelligence in Drug Discovery: A Bibliometric Analysis and Literature Review.

Drug discovery is a complex and iterative process, making it ideal for using artificial intelligence (AI). This paper uses a bibliometric approach to reveal AI's trend and underlying structure in drug discovery (AIDD). A total of 4310 journal articles and reviews indexed in Scopus were analyzed, revealing that AIDD has been rapidly growing over the past two decades, with a significant increase after 2017. The United States, China, and the United Kingdom were the leading countries in research output, with academic institutions, particularly the Chinese Academy of Sciences and the University of Cambridge, being the most productive. In addition, industrial companies, including both pharmaceutical and high-tech ones, also made significant contributions. Additionally, this paper thoroughly discussed the evolution and research frontiers of AIDD, which were uncovered through co-occurrence analyses of keywords using VOSviewer. Our findings highlight that AIDD is an interdisciplinary and promising research field that has the potential to revolutionize drug discovery. The comprehensive overview provided here will be of significant interest to researchers, practitioners, and policy-makers in related fields. The results emphasize the need for continued investment and collaboration in AIDD to accelerate drug discovery, reduce costs, and improve patient outcomes.

Effect of Responsible Gaming Policy and Practice on Casino Gaming Behavior.

Casino gaming is considered as an entertainment but it may cause financial and psychological burdens to some individuals and their families. Therefore, casino operators have established and deployed responsible gaming policy and practice to mitigate such negative effects. This study explores whether and how responsible gaming policy and practice influences people's casino gaming intention and behavior. Data were collected from 644 Chinese adults in Macao. Results showed that responsible gaming policy and practice significantly influenced people's attitude towards casino gaming (as a legal activity and hobby), subjective norm (for disapproval of casino gaming), and perceived behavior control (for not engaging in casino gaming). Casino gaming intention was positively affected by attitude and negatively affected by subjective norm and perceived behavior control. Casino gaming behavior was positively affected by intention and negatively affected by perceived behavior control. As a whole, responsible gaming policy and practice had a small, negative but significant indirect effect on casino gaming behavior. Implications of the study were given.

mHealth and COVID-19: A Bibliometric Study.

mHealth, i.e., using mobile computing and communication technologies in health care, has played an increasingly important role in the provision of medical care and undertaking self-health monitoring and management in the past two decades. Specifically, it becomes critically important for health care delivery when governments have been forced to impose quarantines and lockdowns during the spikes in COVID-19 cases. Therefore, this research focuses on academic publications including journal articles, reviews, and conference papers on the use of mHealth during the COVID-19 pandemic. Using a keyword search on "mHealth" (or "mobile health") and "COVID-19" on 7 January 2023 in Scopus, it was found that 1125 documents were officially published between 2020 and 2022. Among these 1125 documents, 1042 documents were journal articles, reviews, and conference papers. Researchers in the US produced 335 articles, followed by UK researchers with 119 articles, and Chinese researchers with 79 articles. Researchers affiliated with Harvard Medical School published the largest number of articles (31), followed by researchers of University College London with 21 articles and Massachusetts General Hospital with 20 articles. Co-occurrence of keywords analysis revealed four clusters, namely "COVID-19, mHealth, mobile applications, and public health", "adult, adolescent, mental health, and major clinical study", "human, pandemic, and epidemiology", and "telemedicine, telehealth, and health care delivery". Implications of this study are given.

Profiling of Gamblers and Problem Gamblers Among Casino Patrons in Macao SAR.

The study is one of the first prevalence studies of gambling and problem gambling among casino patrons in Macao. It aims to identify the demographic profile of gamblers and evaluate the extent of problem gambling among casino patrons. Using a convenience sampling approach, over 6,000 people were intercepted in the proximity of casinos and were invited to answer a structured questionnaire anonymously and voluntarily. Among these people 1,352 respondents indicated that they gambled in casinos at least once in the past 12 months. Over 90% (1,228) of the respondents reported that they gambled in Macao's casinos and slot lounges. The three most popular forms of casino gambling were baccarat, Sic Bo, and slot machines. The monthly median expenditure on gambling was HKD 1,845 with a range from HKD 2 to HKD 375,175. The prevalence rates for problem gambling and pathological gambling were 15.1% and 7.1%, respectively. Implications of the study's findings are given.

What Motivates Chinese Young Adults to Use mHealth?

mHealth is one of China's national strategies that brings affordable, accessible, and convenient health care to its entire population, may they be in cities or rural areas. Although Chinese young adults are among the first to adopt mHealth, the factors influencing Chinese young adults to use mHealth are yet to be studied both empirically and in depth. This study explores the mechanism that determines Chinese young adults' intention to use mHealth, based on an extended Technology Acceptance Model (TAM). The extended TAM was tested using responses from 486 Chinese young adults. The results showed that perceived usefulness strongly and significantly influenced people's intention to use mHealth. Additionally, communication effectiveness, health consciousness, and perceived ease of use were found as significant factors influencing people's intention to use mHealth through perceived usefulness. Distrust was not found to significantly influence people's intention to use mHealth.

Building professionals' intention to use smart and sustainable building technologies - An empirical study.

Smart and sustainable buildings save energy and material resources and provide a comfortable environment that enhances their occupants' well-being and productivity. It is therefore crucial to understand how building professionals, including designers, engineers, and contractors, view smart and sustainable buildings and what drives them towards smart and sustainable building technologies. This study identifies salient smart and sustainable building features from building professionals' perspective and explores what determines building professionals' intention to use such building technologies. Responses from 543 Hong Kong's building professionals identify that intelligent security, intelligent and responsive fresh air supply, and intelligent and responsive thermal control are among the most important features of smart and sustainable buildings. Results of structural equation modeling grounded on an extended technology acceptance model indicate that facilitating condition and job relevance are related to perceived ease of use while subjective norm pertaining to image and perceived ease of use are predictors of perceived usefulness. Facilitating condition, perceived ease of use and perceived usefulness jointly influence building professionals' intention to use smart and sustainable building technologies.

Are the noise levels acceptable in a built environment like Hong Kong?

Governments all over the world have enacted environmental noise directives and noise control ordinances/acts to protect tranquility in residential areas. However, there is a lack of literature on the evaluation of whether the Acceptable Noise Levels (ANLs) stipulated in the directive/ordinance/act are actually achievable. The study aimed at measuring outdoor environmental noise levels in Hong Kong and identifying whether the measured noise levels are lower than the stipulated ANLs at 20 categories of residential areas. Data were gathered from a territory-wide noise survey. Outdoor noise measurements were conducted at 203 residential premises in urban areas, low-density residential areas, rural areas, and other areas. In total, 366 daytime hourly Leq outdoor noise levels, 362 nighttime hourly Leq outdoor noise levels, and 20 sets of daily, that is, 24 L(eq,1-)h outdoor noise levels were recorded. The mean daytime L(eq,1-h) values ranged 54.4-70.8 dBA, while the mean nighttime L(eq,1-h) values ranged 52.6-67.9 dBA. When the measured noise levels were compared with the stipulated ANLs, only three out of the 20 categories of areas had outdoor noise levels below ANLs during daytime. All other areas (and all areas during nighttime) were found to have outdoor noise levels at or above ANLs.

Noise in restaurants: levels and mathematical model.

Noise affects the dining atmosphere and is an occupational hazard to restaurant service employees worldwide. This paper examines the levels of noise in dining areas during peak hours in different types of restaurants in Hong Kong SAR, China. A mathematical model that describes the noise level in a restaurant is presented. The 1-h equivalent continuous noise level (L(eq,1-h)) was measured using a Type-1 precision integral sound level meter while the occupancy density, the floor area of the dining area, and the ceiling height of each of the surveyed restaurants were recorded. It was found that the measured noise levels using Leq,1-h ranged from 67.6 to 79.3 dBA in Chinese restaurants, from 69.1 to 79.1 dBA in fast food restaurants, and from 66.7 to 82.6 dBA in Western restaurants. Results of the analysis of variance show that there were no significant differences between means of the measured noise levels among different types of restaurants. A stepwise multiple regression analysis was employed to determine the relationships between geometrical and operational parameters and the measured noise levels. Results of the regression analysis show that the measured noise levels depended on the levels of occupancy density only. By reconciling the measured noise levels and the mathematical model, it was found that people in restaurants increased their voice levels when the occupancy density increased. Nevertheless, the maximum measured hourly noise level indicated that the noise exposure experienced by restaurant service employees was below the regulated daily noise exposure value level of 85 dBA.