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Practical Methods of Subsurface Damage Characterization for ULE Glass
No full textThe evaluation and characterization of subsurface damage when milling, grinding, and polishingglass is critical for various imaging and non-imaging applications. Recent years have seen significant progress regarding accurately characterizing the depth and morphology of subsurface defects within various glasses. However, most existing knowledge of ULE glass comes only from destructive methods. Therefore, this work serves to drive further understanding of whether a cutting-edge nondestructive technique can accurately compare to destructive methods similarly employed to those performed in other works. The methods used for destructive and nondestructive characterization were both selected and implemented with practicality in mind; every device and technique used employs standard equipment that an optical manufacturing facility or a university research lab would normally have. To that end, a test sample was prepared - after grinding a thin ULE glass blank, the blank was polished to remove less material than the abrasive grit size of the grinding pad, guaranteeing the existence of subsurface damage. Further demonstrations show that imaging from a laser scanning confocal microscope could not reveal any subsurface defects. However, imparting a
wedge with MRF finishing and performing an acid etch was able to reveal the subsurface damage and allow reasonable estimation of its depth. Challenges and learnings presented here also drive toward understanding how to reduce inconvenience when performing future tests
Improving Neuro ICU Nurses’ Knowledge of Stroke Blood Pressure Guidelines
No full textBackground: There are many different types of strokes, but all can be severe enough to require neuro ICU admission. Almost every class of stroke requires blood pressure control, whether the stroke has been treated via thrombectomy or tPA/TNK or has received no intervention. These blood pressure parameters are in place to promote healing and perfusion and to prevent further damage. In the ICU, nurses are responsible for maintaining patients’ blood pressure parameters. Proper education on appropriate parameters and their application is crucial for neuro ICU nurses to provide excellent patient care.Purpose: The purpose of this quality improvement project was to evaluate the effectiveness of a program to educate neuro ICU nurses on correct blood pressure parameters and the importance of adhering to them. In addition, the purpose of this project was to increase nurses’ confidence in their knowledge of AHA guideline-based blood pressure parameters in acute stroke patients. Methods: In this quality improvement project, a pretest was administered to nurses in the neuro ICU at Banner University Medical Center to evaluate their prior knowledge of the correct blood pressure parameters in different types of stroke patients. An interactive education session was then conducted, followed by a posttest to evaluate the knowledge gained by the nurses. This project was done in one Plan-Do-Study-Act (PDSA) cycle. Results: A total of 36 nurses completed the pretest and posttest. There was a statistically significant improvement in test scores from the pretest to the posttest. Participants reported increased confidence in their knowledge of AHA blood pressure guidelines for acute stroke patients. Conclusions: This project demonstrated that targeted interactive education sessions are an effective method of improving neuro ICU nurses’ knowledge and understanding of AHA blood pressure guidelines. In addition, the education improved the nurses’ self-reported confidence in their knowledge of the guidelines
Characterizing the Effects of Short-Chain Fatty Acids on Campylobacter jejuni Virulence
No full textCampylobacter jejuni is the leading cause of gastroenteritis worldwide, responsible for approximately 550 million cases annually. Infection can lead to either watery or bloody/inflammatory diarrhea, depending on the severity of the disease and geographic location. Beyond acute illness, C. jejuni is linked to several post-infectious sequelae, including Guillain-Barré syndrome, reactive arthritis, and growth stunting in children. However, little is known about how intestinal metabolites such as short-chain fatty acids (SCFAs) influence C. jejuni pathogenesis. Previous studies have shown that SCFAs produced by commensal gut bacteria can modulate the virulence mechanisms of other Gram-negative enteric pathogens; however, their effects on C. jejuni remain largely unexplored. To assess this gap, this study examined the effects of three predominant intestinal SCFAs, butyrate, propionate, and acetate, at two different concentrations on ten different C. jejuni strains representing distinct sources and diarrheal phenotypes. In vitro assays were conducted to assess impacts on bacterial growth, attachment, and invasion of intestinal epithelial cells. Our results indicate that fluctuations in intestinal SCFA levels may influence critical aspects of C. jejuni pathogenesis, specifically generation time, attachment, and invasion capabilities. Results also reveal significant strain-to-strain variability, as individual strains used in this study exhibited distinct reactions and phenotypic outcomes to each SCFA treatment. Low concentrations of SCFA treatment showed a substantial impact on generation time and attachment, while no significant impact was observed on invasion capabilities. Furthermore, this study did not identify differences in phenotypic outcome based on diarrheal manifestation, consistent with previous reported findings using these same strains. These findings suggest that SCFAs may also influence gene expression, an effect that warrants further investigation in future studies. Overall, these findings suggest that individual differences in intestinal SCFA levels can modulate C. jejuni virulence and may help explain variability in severity based on diet, microbiota composition, and lifestyle factors
AI DRIVEN SECURITY: USING AI TO EXPLORE SECURITY AND PRIVACY RISKS
No full textWith the rapid advancement of artificial intelligence (AI), cybersecurity and data privacy have
become pressing concerns in modern IT systems. Traditional defense mechanisms struggle to keep
pace in addressing the scale, complexity, and speed of increasingly sophisticated and emerging
threats. This paper addresses the challenges that existing security and privacy frameworks face by
keeping pace with these evolving threats. This drives the need to understand how AI can contribute
to identifying, analyzing, and mitigating security and privacy risks. The literature highlights the
transformative potential of AI in this domain. From adversarial testing and privacy policy
automation, training simulations to generation of synthetic data for privacy-preserving analysis,
AI has emerged as an essential tool in advancing security resilience in complex digital
environments. As a result, this research investigates the role of AI in addressing security and
privacy risks in Information technology (IT) and Industrial Control Systems (ICS).International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit https://telemetry.org/contact/ if you have questions about items in this collection
ENHANCING STRUCTURAL HEALTH MONITORING DATA ACQUISITION WHILE ENSURING COMPATIBILITY WITH EXISTING SYSTEMS
No full textOperational Monitoring Structural Health Monitoring (SHM) systems fulfil Fatigue Monitoring
purposes of in-service aircraft. The deployment of this technology on Airbus’ military aircraft
fleet helps identifying potential issues before they happen. This paper discusses the use
case and techniques enhancing the Operational SHM on-board data acquisition providing
Damage Detection capabilities, in particular event diagnosis (i.e., mechanical impacts
diagnosis). Specifically, gathering data from accelerometers and Piezoelectric sensors,
acquired via high-speed acquisition cards able to maintain compatibility with the existing
Operational SHM systems on-board and providing diagnosis information about events that
could potentially affect the structural integrity of the aircraft.International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit https://telemetry.org/contact/ if you have questions about items in this collection
IADS IN THE CLOUD
No full textThis paper will evaluate the use of IADS telemetry processing software in a cloud environment.
The evaluation process will utilize the products available via Microsoft Azure services at several
data centers across the continental United States. The information presented will include areas of
success and areas of concern. The review will reveal the potential benefits of cloud computing for
distributed test operations (DTO).International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit https://telemetry.org/contact/ if you have questions about items in this collection
Deploying a Packet Based Bidirectional TDD Telemetry Link System
No full textConversion of telemetry links to packet-based Ethernet communications is underway with both
unidirectional and bi-direction links being deployed. For both test range and other applications, the user
community has embraced the simplicity of bridging Ethernet test article and ground networks. With
bidirectional packet based solutions, the adaptation of existing telemetry physical layer systems is often
preferred. Most of these applications use Frequency Division Duplex (FDD) as long as co-site
interference can be mitigated and two frequencies are obtained. A Time Division Duplex (TDD)
solution requires only a single frequency and has no co-site bidirectional inter-link interference. The
TDD approach requires some amount of design effort by the communications hardware provider to
convert to a switched based system, though once done the benefits over FDD are realized by the end
user. A deployed TDD bidirectional Ethernet system is presented and changes to the streaming
telemetry system.International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit https://telemetry.org/contact/ if you have questions about items in this collection
ENHANCING BEST SOURCE SELECTOR OUTPUT QUALITY WITH FEC
No full textBest Source Selectors are now widely used to deal with the increasing need for range coverage
in flight test activities. They are known to provide higher telemetry link availability and reliability. The Maximum Likelihood Bit Detection algorithm is commonly used to perform bit by bit
combining in order to minimize the bit error probability. However, it requires at least three Data
Quality Encapsulated streams with DQM information. Additionally, it does not exploit the benefits
of Forword Error Correction algorithms such as LDPC codes since a basic best frame selection is
usually implemented. This paper presents a new approach to improve the combined output quality
when FEC frames are provided, starting from two DQE streams using FEC algorithms after combining. We present full system simulation results with AWGN channels, showcasing 1dB gains for
two streams and higher than 3dB for more, as compared to the traditional MLBD combiner.International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit https://telemetry.org/contact/ if you have questions about items in this collection
DENSITY EVOLUTION ANALYSIS OF PUNCTURED IRIG-106 LDPC CODES: TOWARD CONTESTED SPECTRUM RESILIENCY
No full textRecently, random puncturing was shown to be a promising solution to reduce the coding over head and improve the spectral efficiency of low-density parity-check (LDPC) codes designed for the continuous phase modulation (CPM) waveforms of the Advanced-Range TeleMetry (ARTM) program. In this paper, we perform an asymptotic iterative decoding analysis of punctured ARTM LDPC codes. We determine iterative decoding thresholds for this family of codes for structured and unstructured puncturing patterns. Prudent selection of puncturing patterns will allow us to create spectrally efficient codes of various rates across the target operational regime. We show that it is possible to identify puncturing patterns in the underlying code protographs that result in catastrophic iterative decoding failure, thereby informing the combinatorial search for robust puncturing schemes that preserve performance while enabling tactical rate adaptation.International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit https://telemetry.org/contact/ if you have questions about items in this collection
The Keys to Stardom: Predicting Music Industry Breakouts in the Age of Algorithms
No full textSocial media and the internet has fundamentally changed the landscape of the contemporary music industry and ushered in a new era of globalized cultural moments. This landscape is characterized by an increased access to music across a variety of platforms, which enables listeners to curate their own experience through active engagement with the media rather than passive listening. In this context, listeners no longer rely on traditional forms of media, such as radio or television. Instead, they engage with music through social media which utilizes personalized algorithms and promotes user-generated playlists through social media communities. This form of participatory engagement can be utilized to the benefit of the artists to promote a song into mainstream pop culture – big or small. This environment within the contemporary music landscape has the power to spotlight an artist’s career and let them become overnight sensations. I will create a framework to analyze the contemporary factors that contribute to an artist’s propulsion into mainstream pop culture within these social media platforms. This project aims to contribute to the understanding of the contemporary music industry landscape with a conceptual framework and data science techniques to help explain this phenomena