10 THz Ultrafast Function Generator - generation of rectangular and triangular pulse trains-

We report the synthesis of arbitrary optical waveforms by manipulating the spectral phases of Raman sidebands with a wide frequency spacing line-by-line. Trains of rectangular and triangular pulses are stably produced at an ultrahigh repetition rate of 10.6229 THz, reminiscent of an ultrafast function generator.Comment: 7 Pages, 5 Figure

Data-Driven Insights into Consumer Behavior for Bundled Insurance Offerings Using Big Data Analytics

The landscape of consumer behavior in insurance markets has evolved significantly in recent years, driven predominantly by advancements in big data analytics. This paper examines the dynamics inherent in bundled insurance offerings, emphasizing the role of data-driven insights in shaping consumer preferences and decision-making processes. By analyzing extensive datasets from various channels—such as online interactions, customer feedback, and transaction records—this study delineates the critical factors that influence consumer choices when selecting bundled insurance products. Through a multifaceted analytical approach, the research reveals patterns and correlations that were previously obscured, ultimately providing a comprehensive understanding of consumer tendencies

Students’ understanding about clinical research and their willingness to participate in clinical trials

Drug development is a tedious process involving a huge amount of time and money. Clinical trials are the important part of the drug development process. In clinical trials, subject recruitment is challenging especially when recruiting the Generation Y (millennial) population group. This might be generational or due to few barriers. In the present research, in-class surveys were done in the College of Health and Human Services and the College of Business at Eastern Michigan University to determine whether an educational intervention impacts the willingness of Generation Y to participate in clinical research. This interventional group (active group or exposure group) was compared to a placebo group (without any educational intervention). In both treatment groups, the number of students who were willing to participate in clinical trials was \u3e 90%. This clearly indicates that the intervention used did not work, or it simply means that the students are willing to participate in clinical trials. Between Generation Y (n = 114) and the 35 years or older group (n = 2), far more of Generation Y, almost 98.3%, indicated that they were willing to participate in clinical research. This trend might be different if the sample size were similar. When asked “How knowledgeable are you about clinical research?” participants with science backgrounds clearly indicated more knowledge than non-science professions. Three quarters of participants said they have complete knowledge about clinical research, but upon further analysis it was seen that they answered incorrectly when asked what clinical research is. Therefore, further research is needed on these parameters with a better exposure of the treatment group and with equal sample size in both the comparing groups, since the number of participants older than 35 years in the present study was too limited to make any reliable conclusions

Role of early intervention of Ayurveda in Hepatitis-A - A Case Study

Hepatitis A is the inflammation of the liver caused by the Hepatitis-A virus. 1.5 million clinical cases are recorded annually worldwide and are responsible for 15,000 to 30,000 deaths per year.[1] Acute viral hepatitis (AVH) has resemblance with Kamala mentioned in Ayurveda. Kamala is a disease of the Rakta Dusti and Pitta Prakopa. Virechana with Mridu and Tiktaka drugs along with wholesome diet is the principle to treat the condition in Ayurveda. A 20-year-old male diagnosed with hepatitis-A treated in accordance to the Ayurvedic principles, that is, Mridu Virechana and Pitta Samana. The total duration of the treatment is for 30 days. In this case, a complete remission of symptoms with a substantial reduction in bilirubin and hepatic enzymes observed following Ayurvedic treatment

Machine Learning-Powered Actuarial Science: Revolutionizing Underwriting and Policy Pricing for Enhanced Predictive Analytics in Life and Health Insurance

ABSTRACT The integration of machine learning (ML) techniques into actuarial science is transforming the landscape of life and health insurance by enhancing predictive analytics, underwriting processes, and policy pricing models. This paper explores the potential of machine learning to revolutionize actuarial practices, offering improved accuracy, efficiency, and scalability. Traditional actuarial methods, which rely heavily on historical data and statistical models, are increasingly supplemented by ML algorithms capable of analyzing vast and complex datasets, uncovering hidden patterns, and making real-time predictions. By harnessing advanced ML techniques such as supervised learning, neural networks, and natural language processing, insurers can refine risk assessment models, optimize policy pricing, and personalize underwriting decisions. The paper also discusses the implications of these advancements for actuarial professionals, including the shift toward more data-driven, automated workflows, and the ethical considerations surrounding data privacy and algorithmic bias. Ultimately, ML-powered actuarial science promises to usher in a new era of precision in risk management and a more dynamic approach to insurance operations, benefiting both insurers and policyholders alike

RASPBERRY PI BASED WIRELESS LOAD CONTROL AND MONITORING USING INTERACTIVE VOICE RESPONSE SYSTEM

With the current advancement in wireless networks and various technologies implemented for automation, more innovative and improved ideas are developed to build automation systems facilitating remote controlling and monitoring of devices. In this paper, a GSM based wireless home automation system is proposed and deployed which executes its function of controlling and monitoring appliances remotely. It is compliant, cost effective, low power consumption; highly efficient GSM (Global System for Mobile Communication) based wireless home system. The Interactive Voice Response System (IVRS) is improvised to embellish the system’s security and ease of operation. With the help of this system the user can access his home appliances from anywhere and at any time as per the requirement aiding convenience. The system permits the user direct devices through his mobile by sending voice commands using IVRS system. It also enables the user to monitor the status of loads with SMS update. A detailed system analysis is carried out and presented in this paper

Study of subgroup J avian leukosis virus persistence in meat-type chickens

Thesis (Ph. D.)--Michigan State University. Department of Pathobiology and Diagnostic Investigation, 2005Includes bibliographical reference

Hybrid additive manufacturing of 3D electronic systems

A novel hybrid additive manufacturing (AM) technology combining digital light projection (DLP) stereolithography (SL) with 3D micro-dispensing alongside conventional surface mount packaging is presented in this work. This technology overcomes the inherent limitations of individual AM processes and integrates seamlessly with conventional packaging processes to enable the deposition of multiple materials. This facilitates the creation of bespoke end-use products with complex 3D geometry and multi-layer embedded electronic systems. Through a combination of four-point probe measurement and non-contact focus variation microscopy, it was identified that there was no obvious adverse effect of DLP SL embedding process on the electrical conductivity of printed conductors. The resistivity maintained to be less than 4  ×  10−4 Ω centerdot cm before and after DLP SL embedding when cured at 100 °C for 1 h. The mechanical strength of SL specimens with thick polymerized layers was also identified through tensile testing. It was found that the polymerization thickness should be minimised (less than 2 mm) to maximise the bonding strength. As a demonstrator a polymer pyramid with embedded triple-layer 555 LED blinking circuitry was successfully fabricated to prove the technical viability

Experimental analysis of a latent heat thermal energy storage unit enhanced by branched fins

The global shift towards renewable energy to replace fossil fuels has led to exploring thermal energy storage techniques employing phase change materials (PCM), known as latent heat thermal energy storage (LHTES). Renewable energy sources such as solar and wind have limitations due to their unpredictable nature and thus require adequate storage during times of intermittency. PCMs offer a high energy storage density, however, their thermal performance is limited by their low thermal conductivity. This is leading researchers to investigate passive heat transfer enhancement techniques, such as nanoparticle dispersion, porous matrices, heat pipes, and fins, to improve heat transfer within PCMs. Recent studies have primarily focused on the numerical analysis of branched fins, leaving a significant gap in experimental validation. This study addresses this gap by providing a comprehensive experimental evaluation of the thermal performance of a LHTES system enhanced by branched fins, The performance of various fin configurations is compared during both charging and discharging processes. The present study takes a novel approach in comparing performance of radial fins, Y-fins, and snowflake fins in two sets of cases: four-fin and six-fin arrangements, which are compared to a baseline of a zero-fin configuration. All four-fin arrangements contain the same volume of copper, and all six-fin arrangements contain more copper than the four-fin arrangements. The fin configurations are compared based on charging and discharging times and the system energy response. The comparisons indicate that all branched fins configurations resulted in significant reductions in charging and discharging times compared to the benchmark. For four-fin arrangements, radial fins show a decrease of 81.52% and 63.45%, Y-fins show a reduction of 85.97% and 73.64% and snowflake fins show a reduction of 86.3% and 73.2% in charging and discharging times, respectively. For six-fin arrangements, radial fins show a reduction of 89.76% and 76.87%, Y-fins show a reduction of 91.63% and 83.03%, and snowflake fins show a reduction of 91.61% and 86.14% reduction in charging and discharging times, respectively