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Network coverage is crucial for the adoption of advanced Smart Home applications. The commonly used log-based path loss model is not able to accurately estimate WiFi signal strength in different houses, as it does not fully consider the impact of building morphology. To better describe the propagation of WiFi signals and achieve higher estimation accuracy, this paper studies the basic building morphology characteristics of houses.

A new path loss model based on a decision tree was proposed after measuring the WiFi signal strength passing through multiple housing units. Three types of regression models were tested and compared.

The findings demonstrate that the log-based path loss model fits small houses well, while the newly proposed nonlinear path loss model performs better in large houses (area larger than 125 m2 and area-to-perimeter ratio larger than 2.5). The impact of building design on path loss has been proven and specifically quantified in the model.

Proposed an improved model to estimate indoor network coverage. Quantify the impacts of building morphology on indoor WiFi signal strength. Improve WiFi signal strength estimation to support Smart Home applications.

The purpose of this paper is to make an overview of 474 publications and 512 patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive analysis for researchers in this field, as well as a preliminary knowledge of FTL for interested researchers.

Firstly, the FTL algorithms are classified and its functions are introduced in detail. Secondly, the structures of the publications are analyzed in terms of the fundamental information and the publication of the most productive countries/regions, institutions and authors. After that, co-citation networks of institutions, authors and papers illustrated by VOS Viewer are given to show the relationship among those and the most influential of them is further analyzed. Then, the characteristics of the patent are analyzed based on the basic information and classification of the patent and the most productive inventors. In order to obtain research hotspots and trends in this field, the time-line review and citation burst detection of keywords carried out by Cite Space are made to be visual. Finally, based on the above analysis, it draws some other important conclusions and the development trend of this field.

The research on FTL algorithm is still the top priority in the future, and how to improve the performance of SSD in the era of big data is one of the research hotspots.

This paper makes a comprehensive analysis of FTL with the method of bibliometrics, and it is valuable for researchers can quickly grasp the hotspots in this area.

This article draws the structural characteristics of the publications in this field and summarizes the research hotspots and trends in this field in recent years, aiming to inspire new ideas for researchers.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.

In order to extend the application of the original octagonal Goodman–Smith fatigue limit diagram, which is commonly used for the evaluation of structure fatigue stress in engineering, a modification of it is proposed for the structure made of S355 steel (commonly used in high-speed electric multiple units (EMUs) bogie frame).

The modification is made based on Deutscher Verband für Schweißen und verwandte Verfahren e. V. (DVS) 1612 standard and the γ-P-S-N curve, with consideration of the fatigue evaluation requirements of different survival rates and confidence levels. The verification of the modification is performed for three welded joints and for the comparison with the experimental data.

The results indicate that the design survival rate, the design safety margin and the fatigue stress evaluation of welded joint types are all improved by using the modified diagram.

There are relatively few studies on modifying octagonal Goodman–Smith fatigue limit diagram. In this paper, a modified diagram is proposed and applied in order to ensure the safety and durability of key welded structures of rail vehicles.

This study aims to investigate the relationships between the perceived neighborhood walkable environment (PNWE), neighborhood interaction (NI) and residents’ mental health, with a focus on examining differences among residents of different age groups.

Using an electronic survey questionnaire, data on PNWE, NI and mental health were collected from 1,159 residents across 205 communities in Shanghai, China. Our study utilized a structural equation modeling (SEM), employing the maximum likelihood estimation method. The structural equation model was fitted using the MPLUS software.

The mental health of young and middle-aged adults is generally poor, and they are at higher risk of depression than children and older adults. The effects of PNWE and NI on the mental health of residents varied among different age groups. As residents get older, their mental health is more affected by the PNWE. In addition, the influence of the PNWE on children and older adults’ mental health is direct and not mediated by NI. For young and middle-aged adults, the influence of the PNWE on their mental health needs to be mediated by NI.

This study marks the first examination of the relationship between PNWE, NI and mental health among different age groups of residents in China. The findings of this research can assist policymakers in gaining a deeper understanding of the underlying mechanisms by which PNWE affects mental health. Furthermore, it can contribute to the development of more targeted walkable environment designs aimed at enhancing mental health among various age groups.

The practice of facility management (FM) has been evolving with the rapid development of pervasive sensing technologies (PSTs) such as sensors, automatic identification (auto-ID), laser scanning and photogrammetry. Despite the proliferation of research on the use of PSTs for FM, a comprehensive review of such research is missing from the literature. This study aims to cover the knowledge void by examining the status quo and challenges of the selected PSTs with a focus on FM.

This paper reviewed 204 journal papers recounting cases of using PSTs for FM. The reviewed papers were extracted from Elsevier Scopus database using the advanced search.

Findings of this study revealed that PSTs and FM applications form a many-to-many mapping, i.e. one PST could facilitate many FM applications, and one application can also be supported by various PSTs. It is also found that energy modeling and management is the most referred purpose in FM to adopt PSTs, while space management, albeit important, received the least attention. Five challenges are identified, which include high investment on PSTs, data storage problem, absence of proper data exchange protocols for data interoperability, a lack of mature data processing methods for data utilization and privacy of users.

This paper paints a full picture of PSTs adoption for FM. It pinpoints the promising explorations for tackling the key challenges to future development.

Specific types of Hispanic-owned banks (HOBs), including those related to Brazilian, Cuban, Mexican or Puerto Rican heritage, have not be analyzed to date. There are important differences between the relevant communities, including geographic location, language barriers, population size and the importance of remittances to foreign nations. The analysis here sheds light on these differences.

HOBs with the Federal Deposit Insurance Corporation (FDIC)-designated minority-owned depository institution (MDI) designation are identified, along with bank ownership heritage. Financial data, a measure of market competition, and demographics of depositors from 2003 to 2017 are utilized in an exploratory analysis comparing banks by HOB type, with random effects regressions for the pre-collapse (2003–2006) and post-collapse (2009–2017) periods.

Although each of the four types of HOBs serve Hispanic and poor communities, there are substantial differences. For example, Brazilian and Puerto Rican banks on the island held high levels of nonperforming loans (NPLs) post-collapse, with the Brazilian and Mexican banks expanding levels of risky commercial real estate (CRE) lending post-collapse, while the Cuban banks contracted CRE lending. Differences in terms of return on assets (ROAs), the cost of borrowed funds and the tier-1 risk-based capital ratio are also identified.

HOBs, like Latinos in the USA, are culturally heterogeneous and likely operate in different ways depending upon the culture and economic circumstances of the communities where they operate.

Although there is substantial research on MDIs, this is the first analysis which treats HOBs as culturally heterogeneous. Further research of this type is warranted.

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.

This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.

The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.

This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.

This study aims to provide one of the first research works that, using the constructs of the theory of planned behaviour (TPB), analysed the levels of purchase intention of organic products.

The study was quantitative with a correlational scope and a cross-sectional design. The study population consisted of 566 university millennials from Ecuador. The results were processed through the exploratory factor analysis (EFA), the confirmatory factor analysis (CFA) and the structural equation modelling (SEM).

The subjective attitudes and norms influence intentions to buy organic products. However, price mediated by perceived behavioural control reduces purchase intentions, while product availability does not.

This study is one of the first research works, based on the constructs of the TPB which was carried out to know if the attitudes and subjective norms of Ecuadorian university millennials, are related to their purchase intentions for organic products.

Although existing studies demonstrate positive relationships between ethical cultures and innovativeness, their explanations of why an ethical culture leads to innovativeness are limited. This study explores the relationship between ethical organizational culture and knowledge workers' innovativeness

Based on Kierkegaardian existential philosophy, this study proposes a research model that employs knowledge workers' existential affirmation as the link between ethical culture and innovativeness. The main hypothesis proposed in this study is that ethical organizational culture offers knowledge workers the opportunity to find their existential affirmation, which leads them to become more innovative. A structural equation modeling analysis is based on data collected from a survey of 348 knowledge workers from small and medium-sized enterprises (SMEs) in different hi-tech industries.

The findings suggest that among the four subdimensions of an ethical organizational culture, ethics training and awareness raising had the strongest relationships with knowledge workers' existential affirmation, which, in turn, had a significant relationship with their innovativeness.

Based on this philosophical reflection, this study develops a research model that examines knowledge workers' existential affirmation as the factor that links ethical organizational culture and knowledge workers' innovativeness. The authors test ethical organizational culture as an environment that allows knowledge workers to validate their existential affirmation. Further, they test the link between knowledge workers' existential affirmation and their innovativeness.