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Articles 20191 - 20220 of 1820556
Full-Text Articles in Entire DC Network
Examining The Relationship Between Teachers’ Attitudes And Efficacy For Inclusive Classroom Practices, Dike Ibiam Dick
Examining The Relationship Between Teachers’ Attitudes And Efficacy For Inclusive Classroom Practices, Dike Ibiam Dick
Journal of Innovation and Teacher Professionalism
This study examined the relationship between teachers’ self-efficacy and their attitudes toward inclusive education in Ondo State, Nigeria. A descriptive survey research design was adopted, and data were collected from 500 primary and secondary school teachers using two standardized instruments: the Sentiments, Attitudes, and Concerns about Inclusive Education Revised (SACIE-R) Scale and the Teacher Efficacy for Inclusive Practice (TEIP) Scale. Data were analyzed using Pearson Product-Moment Correlation, Multiple Linear Regression, and one-way ANOVA. The findings revealed a moderate positive relationship between teachers’ attitudes toward inclusive education and their self-efficacy in behavior management and collaboration, while a weaker positive relationship was …
Systematic Reviews Across Disciplines: Comparing Quality And Publication Practices, Megan Bresnahan, Eugenia Opuda
Systematic Reviews Across Disciplines: Comparing Quality And Publication Practices, Megan Bresnahan, Eugenia Opuda
Faculty Publications
As the publication of systematic reviews has proliferated across the sciences in the past decade, librarians have a role in helping researchers select the appropriate type of review, providing best practice guidelines, and under-standing variations in disciplinary practices for evidence synthesis. Using a title-abstract search filtered by 10 research areas in the Web of Science, we collected a sample of 100 systematic reviews from a range of disciplines, including “Fisheries,” “Forestry,” “Health Care Sciences & Services,” and “Veterinary Sciences.” Our analysis of this data explores to what extent these articles include the basic components of a systematic review and adhere …
Automated Segmentation And Structural Remodeling Analysis Of Ipsc-Derived Cardiomyocyte, Bahareh Bahmani
Automated Segmentation And Structural Remodeling Analysis Of Ipsc-Derived Cardiomyocyte, Bahareh Bahmani
McKelvey School of Engineering Graduate Student Theses & Dissertations
Cardiomyopathy is a disease of the heart muscle that can change cell structure, protein organization, and overall heart function. Some forms of cardiomyopathy are genetically inherited, including Hypertrophic Cardiomyopathy (HCM), the most common inherited cardiomyopathy affecting nearly 1 in 200 individuals1,2, and Desmin-Related Cardiomyopathy (DRM), a rarer disease that affects approximately 1 in 2000 individuals3. Changes in cardiomyocytes’ cellular structure define cardiomyopathies, and these changes are typically studied with fluorescence microscopy. However, manual image analysis is slow, labor-intensive, and often gives inconsistent results, especially when images are analyzed by non-experts. This thesis presents an automated computational framework for analyzing cardiomyocyte …
Improving Semantic Precision In Text-To-Image Diffusion Models Via Latent-Space Optimization And Semantically-Parsed Evaluation, Mohammad Rouie Miab
Improving Semantic Precision In Text-To-Image Diffusion Models Via Latent-Space Optimization And Semantically-Parsed Evaluation, Mohammad Rouie Miab
McKelvey School of Engineering Graduate Student Theses & Dissertations
Text-to-image diffusion models can produce visually impressive images from natural-language prompts, but they often fail to satisfy the detailed semantic constraints expressed in compositional prompts. Typical failure modes include omitted objects, merged entities, incorrect quantities, incorrect attribute binding, and leakage of one entity's attributes onto another. This thesis studies the problem of semantic precision in text-to-image generation: how faithfully a generated image satisfies the structured meaning of its prompt. The thesis makes two linked contributions. First, it presents a training-free inference-time refinement method for diffusion-based image generation. The method operates directly in latent space during denoising and uses noun-phrase-aware cross-attention …
Largest 2-Regular Subgraphs In Complete S-Partite Graphs, Yiyang Jiang
Largest 2-Regular Subgraphs In Complete S-Partite Graphs, Yiyang Jiang
McKelvey School of Engineering Graduate Student Theses & Dissertations
In this thesis, we focus on the class of complete $S$-partite graphs, for $S$ an undirected graph possibly with self-loops, and address the problem of finding largest $2$-regular subgraphs of these graphs, which can be formulated as an integer linear program. Roughly speaking, a complete $S$-partite graph is obtained by replacing every single node of $S$ with a number of nodes, preserving the edge/non-edge relations of $S$. Our motivation in studying largest $2$-regular subgraphs is rooted in the structural systems theory, particularly in the problem of finding largest subnetworks that can sustain controllability or asymptotic stability of the corresponding subsystems. …
The Moderating Effects Of Body-Mind-Spirit Well-Being On The Relationship Between Diabetes Self-Efficacy And Type 2 Diabetes Self-Management, Carly Snodgrass
The Moderating Effects Of Body-Mind-Spirit Well-Being On The Relationship Between Diabetes Self-Efficacy And Type 2 Diabetes Self-Management, Carly Snodgrass
Walden Dissertations and Doctoral Studies
No abstract provided.
Stability Of Sufentanil Sublingual Microtablets (Dzuveo) In Extreme Cold Weather Conditions: An Experimental Study, David Mcconnell, Hayley Manners, Paul Sutton, Nicola Gawman, Tim Parham, Jonathon Lowe
Stability Of Sufentanil Sublingual Microtablets (Dzuveo) In Extreme Cold Weather Conditions: An Experimental Study, David Mcconnell, Hayley Manners, Paul Sutton, Nicola Gawman, Tim Parham, Jonathon Lowe
School of Geography, Earth and Environmental Sciences
Introduction Extreme cold weather environments are challenging for medication storage and delivery, particularly for injectable analgesics vulnerable to freezing and device failure. These risks may compromise pain management in austere or operational settings where temperature control cannot be maintained. Sufentanil sublingual microtablets (sold in the UK as Dzuveo) provide an oral analgesic option with manufacturer-reported sub-zero stability. Evidence describing the effects of sustained extreme cold exposure and repeated freeze–thaw cycling on chemical stability and delivery system function is limited.Methods We conducted a laboratory study assessing the effect of sustained freezing and repeated freeze–thaw exposure on sufentanil sublingual microtablets (30 µg …
What History Shows: A Structural Account Of Fixed-Point Theory Formation, Griselda Poe
What History Shows: A Structural Account Of Fixed-Point Theory Formation, Griselda Poe
Publications and Research
Theory generation has long been subsumed under categories such as creativity, genius, and innovation. These categories do not distinguish assembly-based conceptual synthesis from fixed-point theory generation.
This paper makes that distinction explicit. The termination condition of assembly is external: data, citation, endorsement, usability. The termination condition of fixed-point theory generation is internal: consistency with internally held constraints, resolution of structural contradiction. The two operate under different processing conditions.
The historical record confirms this distinction. What Darwin, Einstein, Spinoza, and Kant produced was not assembly. Their processes involved unresolved branch retention and decomposition necessity, arriving at internally constrained fixed-point termination. Freud …
Asymmetric Synthesis Of Borylated Amines Via Rhodium Catalyzed Hydroboration Of Allylamine Derivatives: Surprising Role Of Counterions And Accelerators, Rukshani Wickrama Arachchilage
Asymmetric Synthesis Of Borylated Amines Via Rhodium Catalyzed Hydroboration Of Allylamine Derivatives: Surprising Role Of Counterions And Accelerators, Rukshani Wickrama Arachchilage
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
The Catalytic Asymmetric Hydroboration (CAHB) reaction is a valuable method for synthesizing chiral organoboron compounds. Nevertheless, key mechanistic details, including catalyst activation, ligand effects, and rate-determining steps, are difficult to generalize and remain not fully understood. Building on previous research from the Takacs group, this work explores acyclic N-acyl allylamines as substrates in rhodium-catalyzed hydroboration and investigates the formation of active catalysts from various rhodium precursors, the role of counterions (e.g. BF4, BArF-), ligand-to-metal ratios, and the impact of external fluoride additives (e.g. TBAT). Hydroboration of acyclic N-acyl allylamines achieves up to 90% yield and 99 : 1 …
Interventions For Behavioral Symptoms Of Dementia, Christina Khouri, Robert Martin
Interventions For Behavioral Symptoms Of Dementia, Christina Khouri, Robert Martin
Advocate GME
No abstract provided.
Empowering Junior High School Students’ Collaboration Skills Through Science Learning Using The Secret Mission Game, Rahma Fika Kurnia, Imraatul Mufidah, Dyne Rizki Puspitasari
Empowering Junior High School Students’ Collaboration Skills Through Science Learning Using The Secret Mission Game, Rahma Fika Kurnia, Imraatul Mufidah, Dyne Rizki Puspitasari
Journal of Innovation and Teacher Professionalism
This study aimed to empower the collaboration skills of Class VII B students at SMP Laboratorium UM through the implementation of the Game-Based Learning model using the Secret Mission game in science learning on the topic of Physical and Chemical Changes. The study was motivated by the low level of students’ collaboration skills, as indicated by previous classroom assignments that were mostly completed individually rather than collaboratively in groups. The study employed the Lesson Study approach, which consisted of three stages: Plan, Do, and See. During the planning stage, the Lesson Study team collaboratively designed learning modules, game scenarios, instructional …
Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool, Thomas Kimmeth, Avijit Roy, Vivek Sharma
Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool, Thomas Kimmeth, Avijit Roy, Vivek Sharma
Publications and Research
Propagandistic content increasingly circulates through online news and social media, where readers often encounter it with limited scrutiny, highlighting the need for reliable and fine-grained detection. This paper introduces Propasafe-Hybrid, a sentence-level system that integrates a fine-tuned transformer classifier with LLM-based technique classification to identify, label, and explain specific propaganda strategies. The pipeline generates actionable outputs, including highlighted sentences, technique assignments, and concise rationales, so users can immediately understand why a sentence was flagged and how each label was determined. To control inference cost, Propasafe-Hybrid employs a cost-aware pre-filtering stage that forwards only high-likelihood sentences to LLMs, reducing token usage …
Predicting And Decoding Allosteric Binding Sites Using Protein Language Models And Structure-Based Machine Learning: An Energy Landscape-Guided Explainable Ai Framework, Kamila Riedlová, Vít Skrhák, William G. Gatlin, Max Ludwick, Lucas Turano, Marian Novotný, David Hoksza, Gennady M. Verkhivker
Predicting And Decoding Allosteric Binding Sites Using Protein Language Models And Structure-Based Machine Learning: An Energy Landscape-Guided Explainable Ai Framework, Kamila Riedlová, Vít Skrhák, William G. Gatlin, Max Ludwick, Lucas Turano, Marian Novotný, David Hoksza, Gennady M. Verkhivker
Mathematics, Physics, and Computer Science Faculty Articles and Research
Computational prediction of allosteric binding sites in protein structures remains a persistent challenge, as these regulatory pockets evade detection by both sequence-based and structure-based algorithms. Both computational and physical origins of this predictive asymmetry remain insufficiently understood. In this study, we systematically examine the determinants of binding site predictability using a dual framework that integrates a fine-tuned protein language model and the structure-based method P2Rank as complementary tools probing a diverse data set of 453 human kinases, together with a physics-based interpretability layer derived from energy landscape frustration analysis. Both predictors exhibit a sharp and reproducible dichotomy on protein kinases, …
Does Your Sleep Really Matter?, Kristy Riddle
Does Your Sleep Really Matter?, Kristy Riddle
Student Scholar Symposium Abstracts and Posters
In this project, I am tracking 10 of my daily statistics revolving around my routine. I am using an Oura Ring to help accomplish some of the statistics. These include: readiness score, sleep score, screen time on cell phone, time spent on social media, steps taken, stress levels, restorative time, pages read, homework time spent, and oz of water consumed. I will be utilizing Excel for my data and will have around 3 months worth of statistics. hope to learn more about my levels of efficient sleep and how I can better improve my motivation as a student. This project …
Assessment Of Cognitive Function In Stroke Survivors Using The Montreal Cognitive Assessment (Moca), Georgia Cameron
Assessment Of Cognitive Function In Stroke Survivors Using The Montreal Cognitive Assessment (Moca), Georgia Cameron
Student Scholar Symposium Abstracts and Posters
Falls are a common and serious complication in post-stroke patients, with 37–73% of individuals falling within the first 6 months post-stroke and up to 73% within the first year (Verheyden et al., 2013). This study is part of a broader investigation examining whether gait characteristics and impaired cognitive function can predict fall risk when used alongside artificial intelligence. Prior to strength testing and gait analysis, multiple surveys were administered to assess the participants' cognitive function, including the Montreal Cognitive Assessment (MoCA). The MoCA is a cognitive screening tool developed to detect mild cognitive impairment and assess multiple cognitive domains, including …
Computational Ligand-Receptor Simulations Of Fluorinated Morphine Derivatives Using Pymol, Mirabella Romano, Emily Chen
Computational Ligand-Receptor Simulations Of Fluorinated Morphine Derivatives Using Pymol, Mirabella Romano, Emily Chen
Student Scholar Symposium Abstracts and Posters
The opioid epidemic impacts 60 million people worldwide every year. Morphine, a commonly prescribed opioid, binds to the μ-opioid receptor (MOR) in the body via protonation of its tertiary amino group and the MOR. An unfortunate side effect of this binding process is its non-selectivity in both peripheral and central tissues. While activation within inflamed peripheral tissues results in pain relief, activation within central tissues results in the unwanted and addictive side effects of opioids. Because there is a pH discrepancy between healthy (central) and inflamed (peripheral) tissues, selective binding in the inflamed tissues could provide pain relief without addictive …
Developing Narrative-Based Stem Learning Tool For K-6 Visually Impaired Students, Daniel Tsivkovski, Dylan Ravel, Jeffrey Kraskouskas, Brandon Foley, Maryam Etezad, Franceli Cibrian, Rajeev Joshi, Ariel Han
Developing Narrative-Based Stem Learning Tool For K-6 Visually Impaired Students, Daniel Tsivkovski, Dylan Ravel, Jeffrey Kraskouskas, Brandon Foley, Maryam Etezad, Franceli Cibrian, Rajeev Joshi, Ariel Han
Student Scholar Symposium Abstracts and Posters
This research develops a free, accessible web application that enables K-6 students who are blind or visually impaired (BVI) to learn STEM concepts using refreshable braille displays. Currently, most online learning tools are not designed for BVI students, creating a significant educational barrier.
The application interfaces with commercial braille displays and uses narrative-based learning to make STEM content approachable and engaging. By presenting material as personalized interactive stories generated with the help of Artificial Intellligence (AI), students can connect with concepts while developing braille reading skills. The curriculum design prioritizes accessibility through the Accessible Rich Internet Applications (ARIA) standards and …
Listening To The Landscape: Designing A Conversational Agent For Native Botanical Literacy, Lucy Periale
Listening To The Landscape: Designing A Conversational Agent For Native Botanical Literacy, Lucy Periale
Student Scholar Symposium Abstracts and Posters
This project investigates how physical devices integrated with conversational AI can support botanical literacy and encourage engagement with the natural world, with a particular focus on increasing awareness of California native plants. It asks: how can tangible, voice-interactive devices facilitate place-based learning without disrupting direct outdoor experience? Existing plant identification tools rely on screen-based interaction, which can distance users from their natural surroundings. This research contributes to interaction design and human-computer interaction discourse by exploring embodied learning through devices that prioritize environmental immersion. This project developed multiple design concepts and developed three prototypes namely Buddy Bot, Radio Agent and Plant …
Interpreting American Sign Language: A Literature Review Of Assistive Technologies, Natalie Louise Paradiso, Emma Grace Kochenderfer
Interpreting American Sign Language: A Literature Review Of Assistive Technologies, Natalie Louise Paradiso, Emma Grace Kochenderfer
Student Scholar Symposium Abstracts and Posters
American Sign Language (ASL) is a visually elaborate, spatially oriented linguistic methodology that relies on combinations of hand movements, body positioning, facial expressions, and motion/spatial perception, aspects of which make interpretation difficult for automated machine recognition. Current assistive technology approaches to ASL interpretation are generally within the categories of computer vision models (including deep learning, multi-focus image fusion, and keypoint tracking) and wearable, multimodal/sensor-based approaches (such as smart glasses and inertial-sensor gloves). Within controlled environments, computer vision models perform well. However, when applied to conditions such as non-manual signs/features, signer variability, and rapid assimilation, they falter in processing all aspects …
Between Authenticity And Exploitation: Rethinking The Intended Audience Of Sean Baker's Tangerine, Ava Brandt
Between Authenticity And Exploitation: Rethinking The Intended Audience Of Sean Baker's Tangerine, Ava Brandt
Student Scholar Symposium Abstracts and Posters
Sean Baker's Tangerine (2015) has generated genuinely divided responses among trans critics, and for good reason. This paper takes that division seriously, using two reviews published on Autostraddle within six weeks of each other to frame a central question: who is Tangerine actually for? Existing scholarship on trans cinema has tended to evaluate films on a spectrum from exploitative to affirming, but this paper argues that framework is insufficient for a film like Tangerine, which operates as both simultaneously. Through close reading of the film alongside its production history, paratexts, and reception, and drawing on Paige Macintosh's scholarship on trans …
Freshman 15? Freshman 50?? The Reality Of Daily Life Habits Of A First Year College Student, Gregorio R. Salgado
Freshman 15? Freshman 50?? The Reality Of Daily Life Habits Of A First Year College Student, Gregorio R. Salgado
Student Scholar Symposium Abstracts and Posters
This project presents a personal data tracking study in which I collected daily self-reported metrics over the course of the Spring semester using Excel. The variables tracked include sleep duration, caloric intake, screen time, social media usage, phone checks per day, family communication, and personal spending. The goal of this project is to identify meaningful patterns and correlations between daily habits and personal well-being.
Data was collected through a combination of manual logging and smartphone-generated daily reports. This study explores potential relationships between variables such as sleep duration and social media usage, as well as the association between family communication …
L'Empire De L'Élégance: Histoire Et Marketing Du Luxe En France (The Empire Of Elegance: The History And Marketing Of Luxury In France), Kayleigh Gilbert
L'Empire De L'Élégance: Histoire Et Marketing Du Luxe En France (The Empire Of Elegance: The History And Marketing Of Luxury In France), Kayleigh Gilbert
Student Scholar Symposium Abstracts and Posters
This thesis explores how France established and maintains its global leadership in the luxury sector by transforming high-end consumption from a tool of royal power into a modern economic pillar. The central research examines the historical evolution of French luxury, moving from the court of Louis XIV at Versailles to current global marketing, as well as how the strategic use of France’s national identity creates a manufactured desire that goes beyond a physical product. Within the context of luxury history and consumer economics, the project builds upon the work of scholars like William Beik and Michael Kwass to show how …
Kl Dra As A Benchmark Laboratory For Accretion-Disk Physics: Constraints From Tess And Ground-Based Surveys, Luis E. Salazar Manzano, Liliana E. Rivera Sandoval, Jean-Marie Hameury, Craig O. Heinke, Iwona Kotko, Thomas J. Maccarone, Manuel Pichardo Marcano
Kl Dra As A Benchmark Laboratory For Accretion-Disk Physics: Constraints From Tess And Ground-Based Surveys, Luis E. Salazar Manzano, Liliana E. Rivera Sandoval, Jean-Marie Hameury, Craig O. Heinke, Iwona Kotko, Thomas J. Maccarone, Manuel Pichardo Marcano
Physics & Astronomy Faculty Publications
We present the longest-term optical analysis of the AM CVn system KL Dra using ∼11 yr of monitoring from TESS and wide-field ground-based surveys. The continuous TESS coverage allows us to characterise its frequent outbursts with unprecedented detail, providing the first comprehensive study of an AM CVn during outbursts and enabling detailed modelling of these systems. The superoutbursts in KL Dra generally include a precursor and are followed by a series of rebrightenings after which a sequence of 3–4 large amplitude normal outbursts is observed. We fit parametric profiles to each superoutburst component (precursor, rise to plateau, plateau, and decay), …
Coal Ash-Derived Aluminosilicate Precursors: A Chemical Engineering Approach To Geopolymer Characterization, Hafiz Abdul Basit, Abdullah Bashir, Abdur Raafey
Coal Ash-Derived Aluminosilicate Precursors: A Chemical Engineering Approach To Geopolymer Characterization, Hafiz Abdul Basit, Abdullah Bashir, Abdur Raafey
World of Coal Ash Proceedings
The chemical and microstructural evaluation of coal-derived aluminosilicate precursors is critical for understanding their suitability in advanced construction material systems. In this study, a characterization of Class F fly ash, ground granulated blast furnace slag (GGBFS), and Silica Fumes (SF) was conducted to elucidate their morphological and elemental features. Scanning Electron Microscopy (SEM) was used to assess particle morphology and surface characteristics (porosity, particle diameter, particle geometry), and Energy-Dispersive X-ray Spectroscopy (EDS) to determine elemental composition and distribution. The analysis revealed distinct morphological and compositional differences among the precursors, including spherical fly ash particles, calcium-rich slag phases, and ultra-fine silica …
State Permitting Program Update, Jessica Reiss
State Permitting Program Update, Jessica Reiss
World of Coal Ash Proceedings
State Permitting Program Update Jessica L. Reiss, Barnes & Thornburg LLP, 11 South Meridian Street, Indianapolis, IN 46204 KEYWORDS: states, permitting, permit program, rulemaking ABSTRACT At the end of 2016, the United States Congress authorized states to establish permit programs for coal combustion residuals (CCR) surface impoundments and landfills.[1] Since then, several states have established such programs, and the United States Environmental Protection Agency (U.S. EPA) has approved programs for Oklahoma,[2] Georgia,[3] Texas,[4] and North Dakota,[5] proposed approval for Wyoming,[6] and denied approval for Alabama.[7] Other states, such as Indiana,[8] are actively working through the state rulemaking process and plan …
Zero-Waste And High-Value Valorization Of Coal Combustion Residues Via Critical Minerals Recovery And Cementitious Materials Production, Hongyan Ma
World of Coal Ash Proceedings
Coal combustion residues (CCRs) pose significant environmental and disposal challenges, yet they also represent an untapped resource rich in aluminosilicates and critical minerals. This work presents a zero-waste, high-value valorization pathway that integrates critical mineral recovery with the production of cementitious materials. Advanced separation and extraction techniques are employed to recover strategically important elements such as gallium and rare earths, while the mineral-rich residues are simultaneously processed into supplementary cementitious materials (SCMs) for blended cements and concretes. This integrated approach not only offsets the environmental burden of CCR disposal but also supports domestic supply chains of critical minerals and reduces …
Revolutionizing Closure Systems: The Performance Advantages Of Structured Geomembranes, Scott Perugia
Revolutionizing Closure Systems: The Performance Advantages Of Structured Geomembranes, Scott Perugia
World of Coal Ash Proceedings
Coal combustion residual (CCR) containment facilities have traditionally been closed using methods that have changed little over several decades, but structured geomembranes are now reshaping closure design by improving slope stability, increasing interface friction, enhancing drainage, and providing long-term durability. Two systems are emerging as leading solutions: a structured geomembrane paired with a geotextile and vegetative cover, and a structured geomembrane paired with engineered turf. This presentation compares these approaches using field performance data, laboratory testing, and lessons learned, with emphasis on key factors such as infiltration control, drainage efficiency, slope stability, constructability, and regulatory compliance. The engineered turf system …
Developing Concentrated Brines / Salt Slurries For Disposal Of Coal Ash Wastewaters., Lance Edling
Developing Concentrated Brines / Salt Slurries For Disposal Of Coal Ash Wastewaters., Lance Edling
World of Coal Ash Proceedings
If coal ash wastewater is not fully concentrated to the greatest extent possible, then this results in greater disposal volumes and costs. However, concentrating a wastewater stream high in scaling compounds can be difficult. Membranes are prone to scale and Vacom thermal systems are higher in operating cost. This presentation will discuss the need to minimize disposal volumes by concentrating wastewater that is readily prone to scale and foul. The discussion will present past project examples of waste streams that were concentrated until salt crystals formed and the method used to minimize fouling and scaling during the concentration process. In …
Recinis™ Wet Beneficiation Process For Landfilled Coal Ash, Tim Sambrook
Recinis™ Wet Beneficiation Process For Landfilled Coal Ash, Tim Sambrook
World of Coal Ash Proceedings
The decline of coal-fired power generation has reduced fresh “Run-of-Station” ash availability, increasing reliance on reclaimed ash from landfills to meet supplementary cementitious material (SCM) demand. This shift has lowered OPC replacement rates and raised concrete costs due to inconsistent ash quality. ReCinis™ offers a low-capex wet beneficiation solution for landfill-aged, saturated, and variable-quality coal ash. With over 5 billion tons of ash impounded in the U.S., this process enables long-term supply security where dry beneficiation is unsuitable. Combining proven mineral processing techniques with coal ash expertise, ReCinis™ can be deployed as a 150,000 tpa skid-mounted plant or scaled to …
Lessons Learned From A Full-Scale Discrete In-Situ Stabilization Project For Ccr Impoundment Closure, Tony Moran, Paul Jennings, Jacob Susser, Tim Silar
Lessons Learned From A Full-Scale Discrete In-Situ Stabilization Project For Ccr Impoundment Closure, Tony Moran, Paul Jennings, Jacob Susser, Tim Silar
World of Coal Ash Proceedings
ENTACT, in collaboration with Silar Services, Inc., the patent holder of Discrete In-Situ Solidification (DISS) technology, has successfully performed a full-scale implementation of DISS in a Coal Combustion Residual (CCR) impoundment. DISS hydraulically isolates ash from surrounding groundwater by constructing a low-permeability barrier at the impoundment bottom to treat a layer of ash and tying into underlying natural soil layers. DISS enables targeted stabilization within a designated treatment zone, minimizing the disturbance of overburden compared to traditional excavation methods and reducing the use of costly cementitious reagents. The process starts with Reagentless Drilling of the overburden CCR utilizing a specialized …