In recent times, social and commercial interests in location-based services (LBS) are significantly increasing due to the rise in smart devices and technologies. The global navigation satellite systems (GNSS) have long been employed for LBS to navigate and determine accurate and reliable location information in outdoor environments. However, the GNSS signals are too weak to penetrate buildings and unable to provide reliable indoor LBS. Hence, GNSS's incompetence in the indoor environment invites extensive research and development of an indoor positioning system (IPS). Various technologies and techniques have been studied for IPS development. This paper provides an overview of the available smartphone-based indoor localization solutions that rely on radio frequency technologies. As fingerprinting localization is mostly accepted for IPS development owing to its good localization accuracy, we discuss fingerprinting localization in detail. In particular, our analysis is more focused on practical IPS that are realized using a smartphone and Wi-Fi/Bluetooth Low Energy (BLE) as a signal source. Furthermore, we elaborate on the challenges of practical IPS, the available solutions and comprehensive performance comparison, and present some future trends in IPS development.
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http://dx.doi.org/10.3390/s20247230 | DOI Listing |
Curr Probl Cardiol
January 2025
Division of Cardiology and the McAllister Heart Institute, University of North Carolina, Chapel Hill, NC. Electronic address:
Background: The development of ST-segment elevation myocardial infarction (STEMI) in patients hospitalized for non-cardiac indications carries a high mortality rate.
Objectives: Determine the impact of rural vs. urban hospital location and hospital percutaneous coronary intervention (PCI) volumes on clinical outcomes.
BMC Oral Health
January 2025
Division of Fixed Prosthodontics, Conservative Dentistry Department, Faculty of Dentistry, Alexandria University, Alexandria, Egypt.
Background: Increasing demand for durable and aesthetically pleasing dental restorations, including laminates, inlays, onlays, and crowns, has led to advancements in all-ceramic systems, particularly with the development of advanced lithium disilicate materials. However, limited data on the fit accuracy and fracture resistance of these materials restricts their wider application in clinical restorative practices.
Aim Of The Study: This in vitro study aims to compare the marginal and internal fit, assess the fracture resistance, and evaluate the failure modes of crowns fabricated from advanced and conventional lithium disilicate materials.
Biochem Biophys Res Commun
January 2025
Department of Cancer Pathology, Faculty of Medicine, Hokkaido University, Sapporo, Japan; World Premier International Research Center Initiative, Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Sapporo, Japan. Electronic address:
Parkinson's disease (PD) is a neurodegenerative disease primarily affecting the central nervous system and impacting both the motor system and non-motor systems. Although administration of L-DOPA is effective, it is not a fundamental treatment and has side effects such as diurnal fluctuation and dyskinesia, highlighting the need for new treatment methods. There is a growing interest in dopaminergic neuron transplantation as a potential treatment.
View Article and Find Full Text PDFJ Autism Dev Disord
January 2025
Division of Psychology and Language Sciences, University College London, London, UK.
The use of literal prompts (LPs) and inferential prompts (IPs) in shared book reading (SBR) facilitates children's use of language and promotes their thinking and understanding about the stories discussed and beyond. Furthermore, SBR provides a platform for mildly autistic children to have multiple rounds of communication with educators. This study investigated the contribution of LPs and IPs on the language development and affective factors of language learning in mildly autistic children.
View Article and Find Full Text PDFBiol Direct
January 2025
School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Background: Pancreatic cancer is characterized by a complex tumor microenvironment that hinders effective immunotherapy. Identifying key factors that regulate the immunosuppressive landscape is crucial for improving treatment strategies.
Methods: We constructed a prognostic and risk assessment model for pancreatic cancer using 101 machine learning algorithms, identifying OSBPL3 as a key gene associated with disease progression and prognosis.
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