XAI GNSS-A Comprehensive Study on Signal Quality Assessment of GNSS Disruptions Using Explainable AI Technique.

The hindering of Global Navigation Satellite Systems (GNSS) signal reception by jamming and spoofing attacks degrades the signal quality. Careful attention needs to be paid when post-processing the signal under these circumstances before feeding the signal into the GNSS receiver's post-processing stage. The identification of the time domain statistical attributes and the spectral domain characteristics play a vital role in analyzing the behaviour of the signal characteristics under various kinds of jamming attacks, spoofing attacks, and multipath scenarios.

An Adaptive RF Front-End Architecture for Multi-Band SDR in Avionics.

This study introduces a reconfigurable and agile RF front-end (RFFE) architecture that significantly enhances the performance of software-defined radios (SDRs) by seamlessly adjusting to varying signal requirements, frequencies, and protocols. This flexibility greatly enhances spectrum utilization, signal integrity, and overall system efficiency-critical factors in aviation, where reliable communication, navigation, and surveillance systems are vital for safety. A versatile RF front-end is thus indispensable, enhancing connectivity and safety standards.

Initial experimentation with tobacco is associated with subsequent tobacco use patterns among youth in the United States.

Understanding the association between initial experimentation with a tobacco product and subsequent patterns of tobacco use among youth is important to informing prevention activities for youth in the US. We conducted an online survey from August to October 2017 among youth aged 13-18 years. The current analysis focused on respondents reporting initial experimentation with any tobacco product (n = 2,022).

Service mix and financial performance in rural hospitals: A contingency theory perspective.

Background: Rural hospitals are increasingly at risk of closure. Closure reduces the availability of hospital care in rural areas, resulting in a disparity in health between rural and urban citizens, and it has broader economic impacts on rural communities as rural hospitals are often large employers and are vital to recruiting new businesses to a community. To combat the risk of closure, rural hospitals have sought partnerships to bolster financial performance, which often results in a closure of services valuable to the community, such as obstetrics and certain diagnostic services, which are viewed as unprofitable.

Association of hospital-based substance use supports on emergency department revisits: a retrospective cohort study in Sudbury, Canada from 2018 to 2022.

Background: This study compares emergency department (ED) revisits for patients receiving hospital-based substance-use support compared to those who did not receive specialized addiction services at Health Sciences North in Sudbury, Ontario, Canada.

Methods: The study is a retrospective observational study using administrative data from all patients presenting with substance use disorder (SUD) at Health Sciences North from January 1, 2018, and August 31, 2022 with ICD-10 codes from the Discharge Abstract Database (DAD) and the National Ambulatory Care Database (NACRS). There were two interventions under study: addiction medicine consult services (AMCS group), and specialized addiction medicine unit (AMU group).

Publish/Subscribe Method for Real-Time Data Processing in Massive IoT Leveraging Blockchain for Secured Storage.

In the Internet of Things (IoT) era, the surge in Machine-Type Devices (MTDs) has introduced Massive IoT (MIoT), opening new horizons in the world of connected devices. However, such proliferation presents challenges, especially in storing and analyzing massive, heterogeneous data streams in real time. In order to manage Massive IoT data streams, we utilize analytical database software such as Apache Druid version 28.

Stereoselective separation of omeprazole and 5-hydroxy-omeprazole using dried plasma spots and a heart-cutting 2D-LC approach for accurate CYP2C19 phenotyping.

Omeprazole (OME) is a widely used gastric proton pump inhibitor, marketed as a racemic mixture comprising (S)- and (R)-enantiomers, with distinct pharmacokinetic profiles. OME is primarily metabolized by the cytochrome P450 enzymes 2C19 (CYP2C19) and 3A4 (CYP3A4). OME is a conventional probe for CYP2C19 phenotyping.

Real-Time Sensor-Embedded Neural Network for Human Activity Recognition.

This article introduces a novel approach to human activity recognition (HAR) by presenting a sensor that utilizes a real-time embedded neural network. The sensor incorporates a low-cost microcontroller and an inertial measurement unit (IMU), which is affixed to the subject's chest to capture their movements. Through the implementation of a convolutional neural network (CNN) on the microcontroller, the sensor is capable of detecting and predicting the wearer's activities in real-time, eliminating the need for external processing devices.

The Probable Infectious Origin of Multiple Sclerosis.

Multiple sclerosis (MS) is an immune inflammatory disease that causes demyelination of the white matter of the central nervous system. It is generally accepted that the etiology of MS is multifactorial and believed to be a complex interplay between genetic susceptibility, environmental factors, and infectious agents. While the exact cause of MS is still unknown, increasing evidence suggests that disease development is the result of interactions between genetically susceptible individuals and the environment that lead to immune dysregulation and CNS inflammation.

A Secure ZUPT-Aided Indoor Navigation System Using Blockchain in GNSS-Denied Environments.

This paper proposes a novel Blockchain-based indoor navigation system that combines a foot-mounted dual-inertial measurement unit (IMU) setup and a zero-velocity update (ZUPT) algorithm for secure and accurate indoor navigation in GNSS-denied environments. The system estimates the user's position and orientation by fusing the data from two IMUs using an extended Kalman filter (EKF). The ZUPT algorithm is employed to detect and correct the error introduced by sensor drift during zero-velocity intervals, thus enhancing the accuracy of the position estimate.

FPGA-Based Autonomous GPS-Disciplined Oscillatorsfor Wireless Sensor Network Nodes.

Numerous devices in distributed wireless sensor arrays require a high-accuracy timing reference. Although the GPS-disciplined oscillators have been developed for decades, the hardware design still has performance limitations. In this context, we present the hardware implementation for a GPS-disciplined oscillator with an automatic adaptive drift correction algorithm, which is implemented in a low-cost, high-speed field-programmable gate array (FPGA) device.

Does Dementia Have a Microbial Cause?

The potential contribution of pathogenic microbes to dementia-inducing disease is a subject of considerable importance. Alzheimer's disease (AD) is a neurocognitive disease that slowly destroys brain function, leading to cognitive decline and behavioral and psychiatric disorders. The histopathology of AD is associated with neuronal loss and progressive synaptic dysfunction, accompanied by the deposition of amyloid-β (Aβ) peptide in the form of parenchymal plaques and abnormal aggregated tau protein in the form of neurofibrillary tangles.

Landing System Development Based on Inverse Homography Range Camera Fusion (IHRCF).

The Unmanned Aerial Vehicle (UAV) is one of the most remarkable inventions of the last 100 years. Much research has been invested in the development of this flying robot. The landing system is one of the more challenging aspects of this system's development.

The Influence of Friends on Teen Vaping: A Mixed-Methods Approach.

Vaping is popular among adolescents. Previous research has explored sources of information and influence on youth vaping, including marketing, ads, family, peers, social media, and the internet. This research endeavors to expand understanding of peer influence.

Applying a ToF/IMU-Based Multi-Sensor Fusion Architecture in Pedestrian Indoor Navigation Methods.

The advancement of indoor Inertial Navigation Systems (INS) based on the low-cost Inertial Measurement Units (IMU) has been long reviewed in the field of pedestrian localization. There are various sources of error in these systems which lead to unstable and unreliable positioning results, especially in long term performances. These inaccuracies are usually caused by imperfect system modeling, inappropriate sensor fusion models, heading drift, biases of IMUs, and calibration methods.

A New Perspective on Low-Cost MEMS-Based AHRS Determination.

Attitude and heading reference system (AHRS) is the term used to describe a rigid body's angular orientation in three-dimensional space. This paper describes an AHRS determination and control system developed for navigation systems by integrating gyroscopes, accelerometers, and magnetometers signals from low-cost MEMS-based sensors in a complementary adaptive Kalman filter. AHRS estimation based on the iterative Kalman filtering process is required to be initialized first.

Associations between tobacco use patterns and demographic characteristics of sexual minority and heterosexual youth: Results from a nationwide online survey.

Introduction: Youth are at risk for tobacco use, and previous research has pointed to increased vulnerabilities associated with sexual minority identity. For example, LGB youth have increased odds for using tobacco than their heterosexual peers, and bisexual youth have higher odds of smoking than other sexual identity groups. As new tobacco products proliferate and health risks from dual/poly use grow, increased understanding of tobacco use patterns by sexual minority youth is needed.

Evaluation of Potential Optical Radiation Hazards from LED Flashlights.

We performed optical radiation safety evaluations of LED flashlights to determine if they pose potential ocular hazards. Six commercially available flashlight samples were randomly selected from various vendors online. They were evaluated in accordance with specifications provided in the American National Standards Institute/Illuminating Engineering Society of North America (ANSI/IESNA) Standards RP 27.

Perceptions of electronic cigarettes among ethno-culturally diverse Latino adults in four US urban centers.

Objective: The aim of this study was to examine perceptions including knowledge, attitudes, and beliefs about e-cigarettes among ethno-culturally diverse Latino adults living in the US, a rapidly growing minority group for which we know little about their e-cigarette perceptions.

Design: A total of 25 focus groups with Latinos ( = 180; ages 18-64 years) were conducted in 2014. E-cigarettes users and non-users were recruited via purposive sampling techniques.

Multi-Constellation Software-Defined Receiver for Doppler Positioning with LEO Satellites.

A Multi-Constellation Software-Defined Receiver (MC-SDR) is designed and implemented to extract the Doppler measurements of Low Earth Orbit (LEO) satellite's downlink signals, such as Orbcomm, Iridium-Next, Globalstar, Starlink, OneWeb, SpaceX, etc. The Doppler positioning methods, as one of the main localization algorithms, need a highly accurate receiver design to track the Doppler as a measurement for Extended Kalman Filter (EKF)-based positioning. In this paper, the designed receiver has been used to acquire and track the Doppler shifts of two different kinds of LEO constellations.

Accuracy Improvement of Attitude Determination Systems Using EKF-Based Error Prediction Filter and PI Controller.

Accurate attitude and heading reference system (AHRS) play an essential role in navigation applications and human body tracking systems. Using low-cost microelectromechanical system (MEMS) inertial sensors and having accurate orientation estimation, simultaneously, needs optimum orientation methods and algorithms. The error of attitude estimation may lead to imprecise navigation and motion capture results.

Data driven optimization of sexual assault case processing.

In recent years, several forensic laboratories have noted an increase in the number of sexual assault cases submitted for testing, often leading to longer turnaround times. In that context, forensic laboratories may be interested in reviewing their procedures to increase productivity. Here, we present two different strategies that were put in place in our laboratory.

Relationship between population characteristics, e-cigarette and tobacco-related perceptions, and likelihood of ever using e-cigarettes.

Introduction: Electronic nicotine delivery systems (ENDS) are a relatively new type of nicotine-containing product that has risen greatly in use within the past decade, displacing conventional tobacco products as the dominant source of nicotine exposure by many groups. Among those impacted are large sections of US youth. Though health outcomes associated with ENDS use are still being assessed, several potential harms have been noted in the extant literature.

Cigarette smoking, ENDS use and dual use among a national sample of lesbians, gays and bisexuals.

Introduction: Historically, lesbian, gay and bisexual (LGB) individuals have higher rates of cigarette smoking, often attributed to targeted tobacco advertising, exposure to stressors, and psychological distress. Elevated use of electronic nicotine delivery systems (ENDS) among LGB individuals has been documented recently. However, the LGB groups are not homogeneous and differences may exist between the use of tobacco by men and women within the LGB groups.