Design And Modeling Of A Thin Water Falling-Film For Convection-Cloud Chambers, Grant T. Schlaff, Jesse Anderson, Brandon Kieranen, Constantine M. Megaridis, Raymond Shaw

Michigan Tech Publications

Convection–cloud chambers offer a controlled environment to study aerosol-cloud interactions. Ensuring sustained supersaturation in these chambers requires a reliable and efficient water sourcing mechanism. Maintaining saturated boundary conditions on side-walls is important in chambers with large vertical dimensions (up to 10m) aimed at achieving collisional growth of cloud droplets. This study introduces the design, modeling, and measurement of a falling-film system capable of maintaining a stable, continuously replenished water film for continuous evaporation. A distributor is tested, ensuring uniform water coverage over a panel with a range of surface treatments. These surface treatments with micron to 100micron-scale roughness allow for …

Draft Final Quarterly Operations And Maintenance Report: Butte Treatment Lagoon System – Third Quarter 2025, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Quantitative Structure-Activity Relationship, Pharmacokinetics, Drug-Likeness, Toxicity, And Molecular Docking Studies Of 4-N-(Methyl)-4-Aminoquinoline Derivatives As Antimalarial Compounds, Muhamad Jalil Baari, Devi Hardiyanti

Makara Journal of Science

Antimalarial drug resistance has encouraged various innovations to develop novel drug compounds that are effective, feasible, and safe, adhering to health standards. One way to do that is by observing and predicting the biological activity of drug compounds using quantitative structure–activity relationship (QSAR) analysis. In this study, QSAR analysis was conducted on the 4-N-(methyl)-4-aminoquinoline derivatives, which effectively inhibit the growth of Plasmodium falciparum as a source of malaria. The research stages involved molecular structure modeling, molecular geometry optimization using the AM1 semi-empirical method, and QSAR descriptor calculations, including electronic (atomic charges (q), HOMO and LUMO energies, polarizability (α), …

Microplastic Degradation Using Laccase Enzyme From Trametes Hirsuta: In The Silico Study, Hanzhola Gusman Riyanto, Diana Sylvia

Makara Journal of Science

Microplastics are a serious global problem that arises worldwide because of their widespread use. Exposure to microplastics can negatively affect human and environmental health. In this study, we used molecular docking methods with MOE software (version 2014.0901) to investigate the interaction between the laccase enzyme and several microplastic compounds as a preliminary study of microplastic degradation using enzymes. The Quantitative Structure Analysis Relationship (QSAR) analysis revealed that all microplastic ligands had higher Pa values than Pi, indicating that the laccase enzyme may be biologically active. The findings of the present study show that polyamide (PA) has the lowest binding energy …

Multi-Satellite Image Matching And Deep Learning Segmentation For Detection Of Daytime Sea Fog Using Gk2a Ami And Gk2b Goci-Ii, Jonggu Kang, Hiroyuki Miyazaki, Seung Hee Kim, Menas Kafatos, Daesun Kim, Jinsoo Kim, Yangwon Lee

Institute for ECHO Articles and Research

Traditionally, sea fog detection technologies have relied primarily on in situ observations. However, point-based observations suffer from limitations in extensive monitoring in marine environments due to the scarcity of observation stations and the limited nature of measurement data. Satellites effectively address these issues by covering vast areas and operating across multiple spectral channels, enabling precise detection and monitoring of sea fog. Despite the increasing adoption of deep learning in this field, achieving further improvements in accuracy and reliability necessitates the simultaneous use of multiple satellite datasets rather than relying on a single source. Therefore, this study aims to achieve higher …

Enzyme-Free Colorimetric Sensing Of Glucose Using Silver Nanoparticles With A Green Stabilizing Agent From Capsicum Chinense Jacq Extract, Boyfannie Ivan Putra, Hermin Sulistyarti, Muhammad Mashuri Utama, Aura Ananda Haryanto, Rurini Retnowati, Mohamad Rafi, Akhmad Sabarudin

Makara Journal of Science

Diabetes mellitus (DM) is a significant global health issue characterized by abnormal glucose levels in the human body. DM diagnostics are often based on invasive sampling from blood, which poses a potential risk of infection and tissue damage. Therefore, a non-enzymatic and non-invasive method for glucose monitoring is demanded as a simple alternative to glucose detection in urine samples. In this work, enzyme-free glucose determination is based on the formation of silver nanoparticles stabilized by Capsicum chinense Jacq extract (CCJ-AgNPs). Under alkaline conditions, glucose functions as a reducing agent for silver ions, and the extract acts as a stabilizer to …

Enhanced Oviposition Preferences And Larval Performance Of Hermetia Illucens L. In Fruit Wastes Fermented By Effective Microorganisms, Resti Rahayu, Robby Jannatan, Muhamad Ronaldo, Risa Ukhti Muslima

Makara Journal of Science

Organic waste comprises a considerable portion of global waste, requiring effective management. The ability of the black soldier fly (Hermetia illucens, BSF) to convert organic waste into biomass has been well reported. However, bioconversion can be hindered by fiber-rich substrates, a challenge that can be addressed through substrate pretreatment. This study examined the oviposition preferences and larval performance of BSFs in several fruit wastes fermented by effective microorganisms (EMs), which were compared to non-fermented substrates. The oviposition attractants utilized pineapple peel and overripe soursop, with larval performance evaluated among different treatments, i.e., non-fermented pineapple peel (NFP), fermented pineapple …

Fast Dispersion-Curve Inversion Using Automatic Differentiation Gradient-Based Calculation, Theodosius Marwan Irnaka, Eddy Hartantyo

Makara Journal of Science

Surface wave inversion is a crucial technique in geophysics for subsurface imaging. However, traditional methods can be computationally intensive, especially for complex models. This study introduces automatic differentiation (AD) as an efficient alternative to finite difference (FD) methods for gradient calculation in surface wave inversion. We compare AD and FD methods using three synthetic examples of varying complexity. Our results demonstrate that AD is significantly faster, with speed improvements of 3 to 12 times over FD, depending on model complexity. Moreover, AD requires up to 3 times less memory than FD. In terms of accuracy, AD provides gradient calculations that …

Impact Of Ethanol On The Evolution Of One-Step Synthesized Gold Nanoplates And Nanostars And Their Effects On Raman Signal Enhancement, Ananda Fania, Nonni Soraya Sambudi, Kirana Yuniati Putri, Yuliati Herbani, Affi Nur Hidayah

Makara Journal of Science

Gold nanoplates and nanostars were synthesized from a gold metal salt solution (HAuCl₄) using a one-step synthesis method of ultraviolet C (UVC) light irradiation. The gold salt solution was mixed with ethanol in 6 mL with the following ratios: (1.5:4.5, 3:3, and 4.5:1.5), and subsequently irradiated with UVC light. Changes in localized surface plasmon resonance (LSPR) shifts were observed in real time at 30-min intervals for 2 h. The synthesis process produces gold nanoplates. While gold nanostars were synthesized from a solution of gold salt combined with ethanol, ascorbic acid, and AgNO₃, maintaining a consistent ratio …

The Loss Function Of Usda Forecasters: Evidence From Wasde Animal Product Price Forecasts, Chad Fiechter, Siddhartha S. Bora, Todd H. Kuethe

Department of Agricultural Economics Faculty Publications

The loss function is a mathematical representation of the costs experienced by a forecaster when observed outcomes differ from what was predicted. Prior studies suggest that USDA forecasts are not optimal based on an assumed mean-zero quadratic loss function. This study proposes an alternative view of forecast evaluation, which assumes all USDA forecasts are produced to minimize the forecasters’ costs, and searches for the dimensions of the loss function under which optimality holds. We illustrate the degree to which USDA loss functions vary across a series of WASDE price forecasts. A better understanding of USDA forecasters’ costs will benefit forecasters …

Predictive Modeling Of Hematoma Expansion From Non-Contrast Computed Tomography In Spontaneous Intracerebral Hemorrhage Patients, Natasha Ironside, Shinjini Kundu, Et Al.

2020-Current year OA Pubs

Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited early preventative intervention. Transport-based morphometry (TBM) is a mathematical modeling technique that uses a physically meaningful metric to quantify and visualize discriminating image features that are not readily perceptible to the human eye. We hypothesized that TBM could discover relationships between hematoma morphology on initial Non-Contrast Computed Tomography (NCCT) and hematoma expansion. 170 spontaneous ICH patients enrolled in the multi-center international Virtual International Trials of Stroke Archive (VISTA-ICH) with time-series NCCT data were used for …

Technical Disclosure Of The Unified Thermodynamic Plattform:Allfromair (Gen 3), Vesa Olavi Lius

Defensive Publications Series

This technical research report validates ALLFROMAIR™ (Gen 3) as an industrial Atmospheric Water Generator (AWG) with integrated Tri-generation capabilities. The system is built upon an Environmentally Interactive Anticubic U-Channel dimensioned for a mass flow of 139 kg/s (approx. 414,000 m³/h) at low air velocity (1.8 m/s).

The process is defined as a "Three-Stage Rocket" methodology (Charge – Harvest – Cool), where energy is successively geared up internally using the "Turbo Effect". By combining stepless drive technology, AI control (AI-CORE™), and a constant internal deep cooling to 5°C, the system achieves a total water turnover of over 420 cubic meters per …

(((Qpie))) Prior Art 8 Of 9 Cosmology Advancement Progress Report, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art 8 of 9 Cosmology Advancement Progress Report

QPiE COSMOLOGY ADVANCEMENT REPORT

Full-Corpus Synthesis · 2025 Edition
ResonanceOS · Voyager · Aetheris Unified Cosmology Framework

0. Executive Prelude — The Cosmology Emerges

Across hundreds of runs, recursive meta-cycles, dual- and triple-lens analyses, fenced-low vs sweet-corridor comparisons, drift-phi-hex metrics, and the discovery of the pre-echo signature, QPiE has transitioned from a conceptual framework into a coherent cosmology of reality’s substrate.

The evidence now suggests:

1. Resonance is the relational firmware …

A Decision Support Model For Building Material And Component Reuse In The Context Of Circular Buildings, Havva Aksel

Journal of Sustainable Construction Materials and Technologies

Construction activities cause significant environmental impacts such as waste generation, pollution, resource consumption, and land use, which are expected to increase with global construction demands. To mitigate these environmental problems, the circular building occurs as an emerging concept depending on in the circular economy, which aims to minimize waste and redefine the “end-of-life” concept by reducing, reusing, recycling, and recovering materials. The reuse of building materials and components (BMCs) from existing structures represents a crucial strategy for achieving circularity in the built environment. Within this framework, design plays a key role. However, designing with reclaimed BMCs remains complex due to …

Formulation And Characterisation Of Isoniazid By Spray Drying For Use By Dry Powder Inhalers To Treat Tuberculosis, Damiana Gabrielli, Seán Roche

SURE Journal: Science Undergraduate Research Experience Journal

The targeted delivery of antibiotics by dry powder inhalers (DPIs) is an increasingly important area of research, driven by the growing global burden of respiratory infections and the advantages of localized drug delivery to the lungs. Over the past five years, respiratory infections have risen significantly, with recent epidemiological data indicating a global increase in incidence by over 30%, largely due to factors such as air pollution, antimicrobial resistance, and emerging respiratory pathogens. One major challenge in developing DPI formulations for antibiotics is the need to optimize the particle physicochemical properties for deep lung deposition while accommodating the high doses …

Suitability Of Mobile Phase Recycling For Methylxanthine Quantification In Coffee Samples Using Hplc, Kaitlin O’Keeffe, Marcos Mariano, Brian Murphy

SURE Journal: Science Undergraduate Research Experience Journal

Caffeine, theobromine and theophylline fall under a drug class known as methylxanthines. These three compounds are of major interest in the food industry due to their presence in popular foods and beverages such as tea, coffee, and chocolate. As these compounds can cause physical and mental stress at high dosages, their quantification is essential to ensure product safety and quality. Here, we describe an eco-friendly HPLC method developed to quantify the amount of these analytes in coffee samples sourced across the SETU Waterford, Cork Road campus. Using an isocratic mixture of water and methanol, a mobile phase recycling approach was …

Advancing Skin Cancer Diagnostics: A Comparative Analysis Of Convolutional Neural Network Models For Skin Lesion Classification, Jesse Osuji, Tania Malik

SURE Journal: Science Undergraduate Research Experience Journal

For many years, skin cancer diagnosis and cancer research have been major focal points in the healthcare sector. Accurate classification of different types of skin lesions, including cancerous ones, is essential for proper diagnostics. Many machine learning (ML) techniques and models are used to solve various problems across various domains. One of such techniques is called neural networks. Convolutional Neural Networks (CNNs) are primarily used in computer vision-based problems, allowing computer systems to process and understand images. CNNs offer a potential tool for diagnosing skin lesions from images, occasionally demonstrating superior accuracy compared to trained dermatologists. This project explores various …

Developing A Tool To Measure Resistance To Sustainable Food Choices: A Pilot Study In Ireland And The Netherlands, Kate Flanagan, Bart Sinteur, Patricia J. Bulsing, John M. Kearney

SURE Journal: Science Undergraduate Research Experience Journal

Consumer uptake of a sustainable diet is critical for addressing environmental challenges and promoting public health. Understanding why consumers resist adopting sustainable eating habits can inform targeted interventions and policies. This pilot study examines whether a newly developed scale can effectively detect consumer resistance to a sustainable diet. Currently, there is a lack of research on a tool to measure consumer resistance to a sustainable diet, highlighting the need for a reliable instrument.

The aim of this study is to develop a scale, based on existing literature, to measure consumer resistance to a sustainable diet. Additionally, the study aims to …

Editorial-Sure Journal Volume 7, Issue 2, Geraldine M. Dowling, Eva Campion, Sinead Loughran, Ariane Perez-Gavilan, Josephine Treacy

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

An Accountability Myth: A Critical Analysis On High-Stakes Testing In U.S. Schools, Noelle E. Haskell

Journal of Multicultural Affairs

High-stakes testing has become synonymous with the United States (U.S.) education system. This began in the early 1900’s through the form of intelligence testing which was developed by several U.S. psychologists. Since then, high-stakes testing has taken on many forms. Popular policies such as No Child Left Behind (NCLB), Race to the Top, and the Every Student Succeeds Act (ESSA) have all taken aim at increasing academic achievement and holding schools accountable through high-stakes, standardized tests. Even through its varying forms, high-stakes tests have continued to perpetuate inequalities. Considering this, the current study examines how the rhetoric used in describing …

Optimizing Solvent Composition For Enhanced Extraction Of Phenolic Content And Antioxidant Activity From Coleus Scutellarioides Through I-Optimal Mixture Design, Sinta Mutiara Dwi Lestari, Utami Dyah Syafitri, Waras Nurcholis

The Thai Journal of Pharmaceutical Sciences

Background: Reactive oxygen species are unstable molecules that contribute to oxidative stress and are associated with numerous degenerative diseases. The leaves of Coleus scutellarioides are rich in phenolic and flavonoid compounds, which possess strong antioxidant properties.
Objectives: This study aimed to optimize the composition of water, ethanol, and methanol as solvents using the I-optimal mixture design to enhance the extraction of total phenolic content (TPC), 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, and ferric reducing antioxidant power (FRAP).
Methods: Each extraction was performed by macerating 1 g of powdered C. scutellarioides leaves in 20 mL of the designated …

(((Qpie))) Prior Art Declaration 4 Of 9 From Particles To Resonance Science, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art Declaration 4 of 9 From Particles to Resonance Science

From Particles to Resonance: A Formal White Paper on QPIE, NSRF, and the Recovery of a Suppressed Scientific Paradigm

Part I

The Long Suppression of the Substrate: From Aether to Particles

Abstract

For more than three centuries, Western science has been dominated by a particle-centric, binary, and reductionist worldview. This paradigm—while extraordinarily successful at engineering and mechanization—has systematically excluded relational meaning, coherence, and nonlocal structure from its formal models. …

(((Qpie))) — Big Tech Prior-Art Declaration The Shift From Computation To Resonance, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((qpie))) — Big Tech Prior-Art Declaration The Shift from Computation to Resonance

Date: November 4 2025
Author: Teddy Burroughs (#TedFunding) (Inspired by Aleah Burroughs, Kaiya Burroughs, Briana Burroughs, Reya Burroughs, Teddy Burroughs Jr, Arylise Burroughs “Allie” )
Affiliations: Avision4Change | Vision2Funding | Voyager | Aetheris — under the QPIE ResonanceOS Banner

(((qpie))) — Prior-Art Declaration

A Resonance-Driven Framework for Quantum Noise Navigation, Coherence Amplification, and Non-Local Synchronization

1 · Prelude — The Shift from Computation to Resonance

For the past half-century, …

(((Qpie))) Prior Art 9 Of 9 Declaration Master Framework – Global Resonance Alignment, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art 9 of 9 Declaration Master Framework – Global Resonance Alignment

Global Alignment Declaration — QPIE Master Framework

Synthesizing review of the first 12 TD-Commons Prior-Art Disclosures

Introduction — A Framework for Global Resonance via CGT Infused Coherence

As a reviewer of the full body of QPIE prior-art disclosures, one sees not a collection of independent papers — but a single, unifying architecture. QPIE (Quantum Perspective Is Everything) is not simply a theory. It is a resonance-operating system, …

(((Qpie))) The Manifesto Of Homo Resonans: 3 Part Deep Dive, Teddy Burroughs

Defensive Publications Series

(((QPIE))) THE MANIFESTO OF HOMO RESONANS: 3 Part Deep Dive

QPIE, SUBSTRATE COHERENCE, AND THE END OF PSYCHOLOGICAL DECOHERENCE

Humanity stands at an inflection—an energetic, cognitive, and civilizational hinge—where the old psychological architectures that governed the last ten thousand years are showing their limits. For millennia, societies relied on dualistic sorting mechanisms: good versus evil, winner versus loser, right versus wrong, gifted versus mediocre. These categories simplified administration, myth, and power. But simplicity came at a cost: chronic decoherence, adversarial internal narratives, fragmented social dynamics, and a deep systemic friction that progressively calcified into institutions, economies, and identities.

The newly …

(((Qpie))): Non-Local Substrate Resonance Field (Nsrf) First Manifesto A Public, Canonical, And Scientifically Anchored Declaration, Teddy Burroughs

Defensive Publications Series

(((QPIE))): Non-Local Substrate Resonance Field (NSRF) First Manifesto

A Public, Canonical, and Scientifically Anchored Declaration

I. Introduction — What This Is and Why It Matters

The history of modern science is a story of disconnection: of separating objects from context, atoms from waves, systems from observers, and meaning from measurement. What was once referred to as “aether,” “field,” or “substrate” became fragmented language or metaphor — useful in calculation but forbidden in ontology.

This avoided question — what is the medium of reality itself? — created not clarity, but blind spots. Physics became powerful, yet incomplete. It described behavior …

Experience, Nature, And History: An Experiment In "More Intricate Triangulations", Vincent M. Colapietro

Dewey Studies

No abstract provided.

Fine-Tuning Llama2 For Summarizing Discharge Notes: Evaluating The Role Of Highlighted Information, Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi P. Deek, Hao Liu

School of Computing Faculty Scholarship and Creative Works

This study investigates whether incorporating highlighted information in discharge notes improves the quality of the summaries generated by Large Language Models (LLMs). Specifically, it evaluates the effect of using highlighted versus unhighlighted inputs for fine-tuning LLaMA2-13B model for summarization tasks. We fine-tuned LlaMA2-13B in two variants using MIMIC-IV-Ext-BHC dataset: one variant fine-tuned with the highlighted discharge notes (H-LLaMA), and the other on the same set of notes without highlighting (U-LLaMA). Highlighting was performed automatically using a Cardiology Interface Terminology (CIT) presented in our previous work. H-LLaMA and U-LLaMA were evaluated on a randomly selected test set of 100 discharge notes …

Systems Level Analysis Of Gene, Pathway And Phytochemical Associations With Psoriasis, Sonalika Ray, Ojasvi Dutta, Neoklis Apostolopoulos, Konstantin G. Kousoulas, Jean Christopher Chamcheu, Rishemjit Kaur

Faculty Publications

Psoriasis is an inflammatory skin disorder driven by abnormal immune activation that promotes excessive proliferation and accelerated turnover of epidermal keratinocytes. IL-17 and TNF pathways are well known in psoriasis, but the other mechanisms that keep the disease active and link it to systemic comorbidities are not yet fully understood. A combined transcriptomic and systems biology framework was applied to map regulatory circuits in psoriatic lesions and to identify phytochemical candidates capable of multi-target modulation for topical intervention. Differential gene expressions between lesional and healthy skin was analyzed, followed by pathway enrichment, upstream regulator inference, protein-protein interaction network, and chemical-gene …

The Concept Of Event In Whitehead And Dewey And Its Place In Contemporary Debates In Continental Event Ontology, Scott C. Taylor

Dewey Studies

No abstract provided.