Digital Commons Network^™

Applying Machine Learning Methods To Laser Acceleration Of Protons: Synthetic Data For Exploring The High Repetition Rate Regime, John J. Felice, Ronak Desai, Nathaniel Tamminga, Joseph R. Smith, Alona Kryshchenko, Christopher M. Orban, Michael L. Dexter, Anil K. Patnaik

Faculty Publications

Advances in ultra‐intense laser technology have increased repetition rates and average power for chirped‐pulse laser systems, which offer a promising solution for many applications including energetic proton sources. An important challenge is the need to optimize and control the proton source by varying some of the many degrees of freedom inherent to the laser‐plasma interactions. Machine learning can play an important role in this task, as our work examines. Building on our earlier work in Desai et al. 2024, we generate a large ∼1.5 million data point synthetic data set for proton acceleration using a physics‐informed analytic model that we …

How Social, Behavioral, And Policy Factors Impact Water Satisfaction And Management In Urban Areas, Rafi Haikal, Thoriqi Firdaus, Siti Hilya Nabila, Rizqi Shafira Chairunnisa

Journal of Environmental Science and Sustainable Development

The issue of water management in Indonesia’s specific urban contexts, specifically in Surabaya as an industrial hub and Bali as a tourist destination, is of paramount importance due to its impact on public health and environmental sustainability. This study analyses water management and conservation factors by comparing two distinct urban areas. The research design employs Partial Least Squares Structural Equation Modelling (PLS-SEM), which involves a specialised approach for analysing the complex relationships between variables. The results of the analysis indicate that community attitudes in Surabaya, facilitated by infrastructure and technology, significantly predicts intention to perform (β=0.334, p<0.001) and water management satisfaction (β=0.409, p<0.001). In contrast, collaboration with the government enhances environmental constraints (β=0.285, p<0.003) and water management satisfaction (β=0.140, p<0.044). In Bali, where water management is based on traditional practices, community attitudes do not significantly affect water management satisfaction (β=0.095, p>0.431). Still, perceived …

Does Cognitive Frame Affect Clinical Reasoning Among Medical Students? A Cross-Sectional Study, Xiao C. Zhang, Sara A. Belko, Andrew J Monick

Department of Emergency Medicine Faculty Papers

Background Diagnostic errors affect patient safety and lead to high costs. Cognitive bias is a key source of diagnostic error, and the framing effect poses a particular clinical challenge. The extent to which individual factors affect susceptibility to the framing bias is unclear, and the role of expertise in particular is contested across the literature. Objectives This study investigated the effects of framing bias on diagnostic reasoning among medical students. We hypothesised that the effects attributable to framing would be mediated by the number of years of medical education completed. Methods Participants were randomly assigned on an automated basis with …

Formalism In Jewish Law, Chaim Saiman

Faculty Publications

Scholars differ as to the degree to which Jewish law is formalistic. This chapter aims to make sense of the debate surrounding formalism in Jewish law by distinguishing between three types of legal formalism: classic formalism, modern formalism, and detail-following formalism. Viewed through the lens of modern formalism, Jewish law is likely less formalistic than commonly assumed as it is not primarily concerned with constraining decision makers. Nor is Jewish legal discourse typified by its unified conceptual schemas that proceed from abstract concepts to bottom-line decisions in the way that classical formalism proceeds. This chapter introduces an alternative framing termed …

Prevalence And Clinical Impact Of Pseudohypercalcemia In Paraproteinemia: A Case And Cohort Study, Usman Sunusi, Li Chen, Nianyi Li, Jason K Y Lee, Irmeen Siddiqui, Erin Goodhue, Rongrong Huang, Jieli Li

Faculty, Staff and Students Publications

Background: Hypercalcemia is a common and serious complication of malignancy, often contributing to morbidity and mortality. In patients with paraproteinemia, elevated total calcium with normal ionized calcium, termed pseudohypercalcemia, can complicate diagnosis and lead to inappropriate treatment. While this phenomenon has been described in case reports, its prevalence and clinical impact in routine practice remain poorly defined.

Methods: We report a case of pseudohypercalcemia in a patient with IgG κ multiple myeloma and conducted a retrospective review of de-identified data to assess the prevalence and biochemical associations of pseudohypercalcemia in paraproteinemia. Available data included serum protein electrophoresis (SPEP), …

Translational Framework Linking Perfluoroheptanoic Acid (Pfhpa) Exposure To Metabolic Dysfunction Associated Steatotic Liver Disease In Adolescents, Brittney O Baumert, Ana C Maretti-Mira, Douglas I Walker, Zhenjiang Li, Nikos Stratakis, Hongxu Wang, Yinqi Zhao, Fabian Christoph Fischer, Qiran Jia, Damaskini Valvi, Scott M Bartell, Jiawen Carmen Chen, Thomas Inge, Justin R Ryder, Todd Jenkins, Stephanie Sisley, Stavra Xanthakos, David E Kleiner, Rohit Kohli, Sarah Rock, Sandrah P Eckel, Michele A La Merrill, Max M Aung, Matthew P Salomon, Rob Mcconnell, Jesse Goodrich, David V Conti, Lucy Golden-Mason, Lida Chatzi

Faculty, Staff and Students Publications

Background: The rising prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD), particularly among pediatric populations, requires identification of modifiable risk factors to control disease progression. Per- and polyfluoroalkyl substances (PFAS) have emerged as potential contributors to liver damage; however, their role in MASLD remains underexplored. This study aimed to develop a translational framework integrating human and in vitro data to elucidate the effect of PFAS on MASLD development.

Methods: We measured PFAS plasma levels in the Teen-LABS cohort (n = 136), comprising adolescents with obesity (mean age = 16.8 years) undergoing bariatric surgery. Plasma samples were also analyzed using proteomic …

Justifying The Opposite: A Pedagogical Reminder For Those Teaching Financial Ratio Analysis, William H. Sackley, Roger T. King

Journal of Economics and Finance Education

Although introductory finance texts may be clear and instructors may be thorough, students often exhibit an extremely superficial understanding of financial ratio analysis upon leaving their introductory classes. We find that students’ understanding can be enhanced by requiring them to justify why the opposite of their initial impression of a financial ratio may be correct. Thus, students – or other analysts – may be too quick to judge whether the value of a particular financial ratio is “good” or “bad.” This approach requires little additional classroom time, yet seems to create a better understanding of the interrelated financial variables comprising …

Fall 2025 Full Issue, Undergraduate Research

PANDION: The Osprey Journal of Research and Ideas

No abstract provided.

Listening To Wrong Beliefs: Being A Virtuous Agent In Contexts Of Disparity, Madison K. Mendiola

PANDION: The Osprey Journal of Research and Ideas

Using the concept of intellectual humility (IH) described by Whitcomb et al. (2021) and their application of IH in contexts of disparity, I will be furthering the discussion of the importance of IH when engaging with the other side. Although there are intellectual harms associated with being too open-minded, and moral concerns about being a listener to harmful ideas, I argue that epistemic agents risk committing an intellectual error when they don’t try to understand the beliefs of the in-the-wrong party. Even in contexts of disparity, you should be able to understand the other party’s belief-forming methodologies, which is compatible …

Analysis Of Mct-1 Expression In Mouse Neural Retina In Response To Chronic Inflammation, Ian W. Ronson

PANDION: The Osprey Journal of Research and Ideas

Chronic inflammation is a current public health concern as it is linked to the etiology and symptoms of numerous diseases, for example diabetic retinopathy (DR). In the case of DR, inflammation leads to dysregulation of the blood retina barrier causing retinal hemorrhage and macular edema leading ultimately to irreversible vision loss. MCT-1 is critical for the survival of photoreceptor cells because MCT-1 forms protein complexes with Basigin, a cell-cell adhesion protein, that enables Müller glial cells to efficiently provide lactate as a high energy fuel source. Previous studies have shown chronic inflammation reduces Basigin expression in the retina and that …

Marking Their Sacrifice: Headstones And History For Usct Veterans In Jacksonville, Florida, Christian Merkley

PANDION: The Osprey Journal of Research and Ideas

This research project investigated the unmarked graves of United States Colored Troops (USCT) veterans buried in Jacksonville, Florida. Despite their critical role in securing Union victory and advancing Black freedom during the Civil War, these soldiers were often denied pensions and formal recognition, including headstones. In collaboration with the University of North Florida and the Local Initiatives Support Corporation, the project involved archival research, military record verification, and cemetery documentation to confirm the service and burial sites of sixteen USCT veterans. Using resources such as Fold3, Works Progress Administration (WPA) grave registries, and institutional archives, the project resulted in the …

Impacts Of Off-Farm Income On Technical Efficiency Of Rice Farming: Correction To Bias, Harmini Harmini, Harianto Harianto, Feryanto Feryanto, Netti Tinaprilla, Maryono Maryono

Jurnal Ekonomi dan Studi Pembangunan

Most of Indonesia's rice farming households are small-scale, with farming income equivalent to below the poverty line. Sources of income from outside the farm can be a complement to the low income obtained from farming. The purpose of the study was to analyze the effect of off-farm income on the technical efficiency of rice farming. This study employed secondary data and analyzed using the stochastic production frontier model, with corrections for the bias associated with the observed and unobserved variables first. This study showed that the education level of the head of the household had a significant positive effect on …

The Impact Of Macroeconomic Effect And Fiscal Policy On Poverty In Indonesia, Hadi Sumarsono, Ermita Yusida, Suhaili Alma’Amun

Jurnal Ekonomi dan Studi Pembangunan

Poverty is a problem that must be overcome immediately by a developing country. Therefore, various efforts were made to find factors that significantly affect poverty in order to design an alleviation strategy. This study aims to determine the impact of macroeconomic effect and fiscal policy on poverty poverty in all the Indonesian provinces from 2018 to 2020. The macroeconomic effect proxied by unemployment, Human Development Index (HDI), investment, and economic growth. Besides that, the fiscal policy proxied by social assistance. The data analysis used in this study is panel data. The time-series data used are from 2018 to 2020, and …

Impact Of Monetary Policy On Consumption And Investment In Indonesia, Tiara Nirmala, Catur Sugiyanto, M.Edhie Purnawan

Jurnal Ekonomi dan Studi Pembangunan

Monetary policy transmission mechanism has a complex process since its implementation it involves changes on banking sector, economic actors, the length of time in implementing policies, as well as changes in monetary policy transmission channels according to economic condition of the country. This study aims to examine how consumption and investment respond to monetary shocks that occur in Indonesia. These results indicate that the impact of monetary policy on consumption due to changes in interest rates is larger and more sensitive than investment, according to the impulse response test. The main channel of the effect of policy shocks obtained from …

Human Capital And Environmental Quality In Cameroon, Neba Cletus Yah, Henri Ndame Makembe

Jurnal Ekonomi dan Studi Pembangunan

The aim of this paper is to analyze the impact of human capital, notably education, on environmental quality in Cameroon. Used is made of ARDL bound testing techniques to analyze annual data spanning the period 1971-2019. The data was obtained from the World Development Indicators published by the World Bank website. The results show a positive impact of human capital development on environmental quality. Also, evidence was found to support the existence of the environmental Kuznets curve in the context of Cameroon. These results indicate that the government of Cameroon can improve on its environmental quality by developing the human …

Enhancing Green Energy Solutions Through Pemfc: A Comprehensive Review Of Modeling, Efficiency, Performance Metrics, And Future Opportunities, Elaf N. Mahrous, Ahmad Jamal, Muhammad Saleem

Yanbu Journal of Engineering and Science

Polymer Electrolyte Membrane Fuel Cells (PEMFCs) are a promising technology for clean and efficient energy production. PEMFC was initially developed for the space programs in the 1960s, but today, it finds its application in numerous engineering applications. Growing concerns about fossil fuel depletion and global warming, along with recent advances in renewable energy and the hydrogen economy, have further supported its development. This comprehensive review consolidates modeling approaches, performance analyses, thermal management strategies, and future prospects of PEMFC technology. The analysis of the characteristics of Voltage-Current (V-I) and subsequent examination of the fuel cell’s efficiency include the evaluation of thermal …

Bias-Corrected Multi-Agent User Feedback Analysis System For Llm Performance Optimization, Saurabh Gupta, Andrea Morandi

Defensive Publications Series

Proposed herein is a novel bias-corrected multi-agent user feedback analysis system that automatically corrects for selection bias in sparse user feedback to provide accurate, unbiased quality assessments of Large Language Model (LLM) systems.

Providing Unified Interface For Rendering User Interface (Ui) Components And Application Programming Interface (Api) Documentation, Thirumalaa Srinivas , Visa, Summer Young , Visa, Miriam Salzer ,Visa, Murphy Basore , Visa

Defensive Publications Series

The present disclosure relates to a system and a method for dynamically fetching, filtering, and rendering one or more user interface (UI) component examples and application programming interface (API) documentation for multiple libraries and versions. The system enables users to select a library and version. The system fetches a corresponding metadata and code examples from a structured JavaScript Object Notation (JSON) file. The system provides device emulations, code/preview toggling, and API reference display in a unified interface.

Dynamic Volatility Modeling Of Indonesian Insurance Company Stocks, Budiandru Budiandru

Jurnal Ekonomi dan Studi Pembangunan

The Indonesian capital market is one of the investment destination countries for investors in developed countries. The development of economic conditions in Indonesia itself is considered suitable for investors to invest. Insurance sector stocks are one of the sectors that are the target of investors. This present study predicts the share price of insurance companies in Indonesia. Data in daily from 2010 to 2020 uses the Autoregressive Conditional Heteroscedasticity - Generalized Autoregressive Conditional Heteroscedasticity (ARCH - GARCH) method. The data involved in this study are time-series data on daily stock prices from nine insurance companies listed on the Indonesian Stock …

Fiscal Cyclicality Under State Finances Law In Indonesia, Mirzalina Zainal, Insukindro Insukindro, Akhmad Makhfatih

Jurnal Ekonomi dan Studi Pembangunan

This study aims to analyze the cyclicality of fiscal policy under state finances law in Indonesia. The Indonesian government officially enacted the 2003 and 2004 Laws on State Finances, and it regulates fiscal rules covering the amount of the budget deficit and balanced budget rules. This fiscal rule is expected to encourage fiscal cyclicality to become countercyclical and provide buffering to deal with various economic shocks. This study uses quarterly time-series data from 2001 to 2019. The years 2001-2004 are used as the years prior to implementing the State Finance Law. Moreover, 2005 – 2019 is the time to capture …

Attention Mapping For Hallucination Reduction In Arabic Financial Using Retrieval-Augmented Generation Systems, Hasan Abdulameer Hasan, Khaldoun H. Al-Hussayni, Ali Z. K. Matloob

Journal of Intelligent Informatics, Networking, and Cybersecurity

This research introduces a customized attention visualization framework for mitigating hallucinations in Arabic Retrieval-Augmented Generation (RAG) systems tailored for financial document analysis. The proposed architecture extends MarBERT with a dual-stage attention supervision mechanism and a hallucination-aware loss formulation, trained on a newly constructed dataset of 7,000 annotated Arabic financial query-context pairs. A grounding alignment score is computed over attended tokens, and generated responses are rejected when falling below a dynamically adjusted precision-aware threshold,serving as the core decision-making approach for hallucination detection. The system achieves 95.04% classification accuracy, 95.84% precision, 94.12% recall, and an F1 score of 94.97%, outperforming AraELECTRA and …

A New Explanation Of The Connotation And Poetic Significance Of “Poetry Springs From Emotions And Hence Reads Beautifully” In Rhapsody On Literature, Yanfeng Cai, Xiaoli Wei

Theoretical Studies in Literature and Art

Traditionally, “poetry springs from emotions and hence reads beautifully” in Rhapsody on Literature has been interpreted primarily within the poetic context of expressing emotions and aspirations, often overlooking the broader connotation of “emotion” and the logical relationship between “springing from emotions” (yuanqing) and “beautiful” (qimi). Two key concepts are essential in understanding of this sentence. The first is “emotions”, which has been widely used to denote an objective state, essence, and reality since the pre-Qin era. Recognizing the objective meaning of “emotion” is crucial for a correct understanding of the poetic connotation of “springing from emotions”. …

A Study Of Zhu De's Literary And Artistic Thought In The Early Period Of The Liberated Areas, Linfang Qin

Theoretical Studies in Literature and Art

In the early period of the liberated areas, Zhu De developed a literary and artistic thought centered on revolutionary utilitarianism. Its main contents are as follows. In terms of nature and function, the literature and art in the liberated areas must become a weapon to suport the Anti-Japanese War. Regarding subject matter, they should correctly deal with the issues of praise and exposure. In terms of artistic form, it is essential to extensively utilize the forms of folk art favored by the masses so as to achieve “popularization and vernacularization.” For the literature and art in the liberated areas to …

Italian Mathematics Prison Teachers’ Perspective On The Teaching/Learning Of Mathematics In Prison School, Andrea Maffia, Luca Decembrotto, Chiara Giberti, Federica Mennuni, Gabriella Pocalana, Silvia Regola, Agnese Telloni

Journal of Prison Education Research

Teaching in the prison context is characterized by a high complexity level; it is a multifaced activity influenced by several factors depending on the specific context. We present a preliminary but overall picture of schooling in Italian prisons by considering teachers’ reflections regarding their experiences in teaching mathematics in correctional facilities. To address the gap in the current literature on this issue, we conducted a SWOT analysis on the reflection provided by a group of nine Italian mathematics teachers who teach in different prisons and with different experiences and backgrounds. Their reflection allowed us to identify and describe six theory-driven …

Usa V. William O\'Brien, Iii

2025 Decisions

USDC for the Eastern District of Pennsylvania

Reliable Detection Of Sf6breakdown Byproducts Using 2d Non-Hexagonal Carbon Allotrope Nanosheets, Pedro Elias Priori Spalenza, Fábio Arthur Leão De Souza, Debora C.M. Rodrigues, Rodrigo G. Amorim, Cesar E.P. Villegas, Wanderlã L. Scopel, Ravindra Pandey

Michigan Tech Publications

Sulfur hexafluoride (SF6), widely used as an insulating gas in the power industry, decomposes during long-term operation into byproducts such as H2S, SO2, SO2F2, and SOF2. Reliable detection of these compounds is essential, since their type and concentration provide diagnostic signatures of faults in gas-insulated switchgear. We employ density functional theory combined with nonequilibrium Green’s function calculations to evaluate pristine two-dimensional carbon allotropes with nonhexagonal rings, namely Graphene+, T-graphene, and Biphenylene, as potential field-effect nanosensors. To characterize the surfaces’ atomic structures, we simulated scanning tunneling microscopy images for filled states. Each surface exhibits a distinct brightness pattern that allows its …

Teaching Machine Learning To Undergraduate Electrical Engineering Students, Gerald L. Fudge, Anika Rimu, William Zorn, July Ringle, Cody Barnet

Faculty Publications

Proficiency in machine learning (ML) and the associated computational math foundations have become critical skills for engineers. Required areas of proficiency include the ability to use available ML tools and the ability to develop new tools to solve engineering problems. Engineers also need to be proficient in using generative artificial intelligence (AI) tools in a variety of contexts, including as an aid to learning, research, writing, and code generation. Using these tools properly requires a solid understanding of the associated computational math foundation. Without this foundation, engineers will struggle with developing new tools and can easily misuse available ML/AI tools, …

Artificial Intelligence In Medical And Biological Research: Promise And Perils Of Chatgpt And Deepseek In Advancing Healthcare, Mahmut Enes Kayaalp, Onur Gülteki̇n, Serhat Akçaalan, Hami̇t Çağlayan Kahraman, Hüseyi̇n Nevzat Topçu, Gülşah Kavrul Kayaalp

Turkish Journal of Biology

Background/aim: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT and DeepSeek, is being increasingly applied in clinical care, research, and education. The aim of this review is to examine how these tools may transform the conduct of medical and biological research and to define their limitations.

Materials and methods: A narrative synthesis of the literature was performed, encompassing studies published between 2020 and 2025. Peer-reviewed journals, systematic reviews, and high-impact original research articles were included to ensure an evidence-based overview. The principle applications, validation metrics, and clinical implications across orthopedics, oncology, cardiology, internal medicine, and the biological …

A Systematic Review Of Machine Learning In Heart Disease Prediction, Tathagat Banerjee, İshak Paçal

Turkish Journal of Biology

Background/aim: Cardiovascular diseases (CVDs) are a leading cause of global mortality, prompting the need for advanced predictive tools. While machine learning (ML) offers a powerful solution, there are significant challenges to clinical translation. This systematic review synthesizes the current state of ML in heart disease prediction, evaluating algorithmic performance, data utilization, and key translational challenges.

Materials and methods: Following PRISMA guidelines, a systematic search of literature published up to 2025 was conducted. From an initial pool of over 2500 records, a rigorous screening process yielded 65 studies for in-depth qualitative synthesis.

Results: Analysis showed that ensemble learning models dominate prediction …

Royal Jelly With Ellagic Acid Inhibits The Glycolytic Pathway And Induces Apoptosis Through Multiple Pathways In Colorectal Cancer, Tuğba Kul Köprülü

Turkish Journal of Biology

Background/aim: Developing novel chemotherapeutics with high anticancer efficacy and low toxicity remains a critical challenge in oncology. Natural products have shown promise due to their multitargeted activity and favorable safety profiles. The present study investigates the combined anticancer effects of royal jelly (RJ) and ellagic acid (EA), two potent antioxidants of animal and plant origin.

Materials and methods: Royal jelly (RJ) and ellagic acid (EA) were applied to HT29 (ATCC HTB-38, Human colorectal adenocarcinoma), HCT116 (ATCC CCL-247, Human colorectal carcinoma) and BEAS-2B (ATCC CRL-3588, human bronchial epithelium) cell lines, and their antiproliferative effects were evaluated using a xCELLigence Real-Time Cell …