Digital Commons Network^™

Machine Learning: Thematic Feature Grouping, And The Magnificent Seven: A Forecasting Analysis, Mirarmia Jalali, Mohammad Najand, Andrew Cohen

Finance Faculty Publications

This study examines the predictability of monthly excess returns for the “Magnificent Seven” U.S. technology firms using machine learning and economically motivated thematic feature grouping. Framed as a focused study of the most systemically consequential equity panel in modern markets—seven firms representing over 30% of the S&P 500—the analysis confronts a small-N, large-P environment where economically structured dimensionality reduction is essential. Using 154 firm-level characteristics categorized into 13 economic themes, we evaluate linear, penalized, tree-based, and neural network models in a small-N, large-P setting. Unrestricted models suffer substantial overfitting and fail to outperform the historical average benchmark out-of-sample. In contrast, …

Natural Resource Rents And Energy Poverty Nexus In Next Eleven Economies, Muhammad Salah Uddin, Ayub Ali, Zobayer Ahmed, Md Nasir Uddin Sikdar, Ahsan Habib, Abdullah Elah Al-Mahde

Finance Faculty Publications

Energy poverty (EP) remains a persistent global challenge with important implications for economic development, public health, and social welfare. While natural resources, particularly oil and gas, are often viewed as key sources of energy access, their effectiveness in mitigating EP remains underexplored in emerging economies. This study examines the relationship between natural resource rents (NRR), specifically oil rents (OR) and natural gas rents (NGR), and energy poverty (EP) in the Next Eleven (N-11) countries from 2000 to 2020. The primary objective is to assess how NRR influences EP at various levels of poverty using the Method of Moments Quantile Regression …

A Hybrid Response Surface Methodology And Machine Learning Framework For Quantifying Effects Of Physicochemical Parameters On Pfas Distribution, Harsh V. Patel, Jazmin Green, Hyoshin Park, Stephanie Luster-Teasley Pass, Renzun Zhao

Engineering Management & Systems Engineering Faculty Publications

Predicting PFAS adsorption across diverse adsorbents and environmental matrices remains challenging because adsorbent physicochemical properties, PFAS molecular descriptors, and operational conditions simultaneously influence adsorption. This study develops and evaluates a unified hybrid modeling framework that integrates Response Surface Model (RSM) with machine-learning algorithms to quantify how six key variables, surface area, Log K_ow, pH_pzc, pK_a, log dose, and log-initial concentration, affect PFAS distribution coefficients (Log K_d). A data set of more than 1000 adsorption observations spanning 15 PFAS compounds, multiple adsorbent types, and a broad operational range was compiled and preprocessed using …

Sleep Problems In Children With Adhd: Associations With Internalizing Symptoms And Physical Activity, Xiao Liang, Mengping Zhao, Li Su, Justin A. Haegele, Richard H. Xu, Jiayue Li, Jinxian Guo, Choi-Yeung Tse, Shirley X. Li, David H. K. Shum

Human Movement Studies & Special Education Faculty Publications

Children with attention deficit hyperactivity disorder (ADHD) experience high rates of sleep problems and are at increased risk for developing internalizing problems. This study aimed to examine the association of sleep problems and physical activity with internalizing symptoms in children with ADHD. This cross-sectional study included 188 children with ADHD (M age = 8.60 ± 1.38, 78.7% boys). Self-reported questionnaires were used to assess sleep problems (Pittsburgh Sleep Quality Index [PSQI]) and internalizing symptoms (Depression Anxiety Stress Scale 21 [DASS 21]). The presence of sleep problems was defined as a PSQI score > 5. Physical activity was recorded by an ActiGraph …

Can We Talk? A Correspondence Study To Examine Responsiveness Of Physical Educators To Requests For A Phone Call From Parents Of Children With Disabilities, Sean Healy, Justin A. Haegele, Steven K. Holland

Human Movement Studies & Special Education Faculty Publications

The Individuals with Disabilities Education Improvement Act (2004) mandates that parental input be considered when making educational decisions for children with disabilities, including in physical education. However, parents of children with disabilities often report suboptimal communication experiences with physical educators. The purpose of the current study was to examine if the initiation of a parent–physical educator relationship is influenced by whether students have a disability or not. An online message correspondence study methodology was used to detect potential disparities in the responsiveness of a sample of 320 physical educators to electronic message requests for a phone call to discuss physical …

Associations Between Accelerometer-Measured Physical Activity And Sleep Duration And Health Indicators In Children And Adolescents With Attention-Deficit Hyperactivity Disorder: A Systematic Review And Meta-Analysis, Xiao Liang, Hui Qiu, Justin A. Haegele, Xiao Li, Minghui Li, Jiayue Li, Shirley Xin Li

Human Movement Studies & Special Education Faculty Publications

Objective

This systematic review and meta-analysis synthesized available studies to explore relationships between accelerometer-measured physical activity (PA) levels or sleep duration and health-related outcomes in children and adolescents with attention-deficit hyperactivity disorder (ADHD).

Methods

Following the Preferred Reporting Items for Systematic Review and Meta-analyses guidelines, the six databases APA PsychInfo, CINAHL Ultimate, Embase, MEDLINE, SPORTDiscus with Full Text and Web of Science were searched from inception through July 2024. The correlation coefficient (r) was employed to determine the effect size in the meta-analysis. A random-effects model was utilised to estimate the potentially heterogeneously distributed effect sizes with a 95 % …

Professional Standards For School-Based Behavior Analysts (2nd Edition), Selena J. Layden, Emily Muise, Karen L. Berlin, Samantha Gregory, Daniel Irwin, Kaylan Long, Daria K. Lorio-Barsten, Jennifer L. O’Berry, Hannah Riddle

Human Movement Studies & Special Education Faculty Publications

Public educational settings are unique and complex environments that require specific knowledge and skills for the professionals that work in these environments. School-based behavior analysts can be a great asset to public schools. However, these professionals must be able to firmly understand and perform the responsibilities of a behavior analyst in collaboration with educators and service providers in a public school setting. The presence of behavior analysts in public schools is still relatively new, when compared with other specialized services. Therefore, behavior analysts, teachers, administrators, and others should focus on collaboration to promote the success for all stakeholders with an …

Accelerometer-Measured Physical Activity Among Children And Adolescents With And Without Neurodevelopmental Disorders: A Systematic Review And Meta-Analysis, Xiao Liang, Raffy C.F. Chan, Justin A. Haegele, Sean Healy, Richard H. Xu, Chang Liu, Ming Chen, Minghui Li, Hui Zhang, Cindy H.P. Sit, David H.K. Shum

Human Movement Studies & Special Education Faculty Publications

Purpose

Physical inactivity is a health concern for children and adolescents with neurodevelopmental disorders (NDDs) as it directly increases their risk of developing various health problems. Evidence on differences in accelerometer-assessed physical activity between children and adolescents with and without NDDs is inconclusive. And age- and body mass index (BMI)-related effects on physical activity remain unclear.

Methods

The systematic literature searches were performed in 6 databases up to March 2025. Methodological quality was evaluated by the Newcastle-Ottawa Scales. Data were pooled using a random-effects model. Hedges' g was used to express the effect size index with 95 % confidence interval …

Considerations For School Leadership In Leveraging School-Based Behavior Analysis For Systemic Improvement In Public Education, Virginia Public Schools Behavior Analyst Network, Kira Austin, Elizabeth Boynton, Amanda K. Cash, Meredith Eads, Daniel Irwin, Selena Layden, Daria K. Lorio-Barsten, Emily Muise, Nadine Pittman, Felicia Shelton, Indya Watts-Graves

Human Movement Studies & Special Education Faculty Publications

Public schools face significant challenges, including rising student behavioral needs, chronic absenteeism, and high rates of teacher burnout. These issues are interconnected with and inextricably linked to a need for effective, evidence-based behavioral supports. Educators frequently enter the field lacking the necessary skills and training to manage complex student behavior, often resulting in a reliance on punitive practices that exacerbate problems.

This paper proposes that the expertise of school-based behavior analysts (SBBAs), who are Board Certified Behavior Analysts® (BCBAs®) specializing in education, offers a powerful, underutilized solution. SBBAs are trained in applied behavior analysis (ABA), a data-driven science focused on …

Felt Ambivalence Weakens The Attitude-Intention Pathway For Regular Leisure-Time Physical Activity In Chinese Adolescents: A Three-Wavee Prospective Study, Yaogang Han, Yubing Wang, Pan Li, Guohua Zheng

Human Movement Studies & Special Education Faculty Publications

Background: Favorable attitudes toward regular leisure-time physical activity may not always translate into intention if adolescents feel ambivalent about the behavior. This study tested whether felt ambivalence weakens the prospective attitude–intention association and the indirect effect of attitude on later behavior through intention. Methods: Chinese adolescents (N = 1714; Grades 7–12; mean age = 15.0 years) completed a three-wave survey at approximately two-week intervals. Wave 1 assessed attitudes toward regular leisure-time moderate-to-vigorous physical activity, felt ambivalence, and physical activity habit; Wave 2 assessed intention; and Wave 3 assessed leisure-time physical activity. Moderated mediation was tested in a structural equation model …

From Intention To Enactment: Action Planning And Habit Automaticity Distinguish Successful From Unsuccessful Intenders To Engage In Regular Leisure-Time Moderate-To-Vigorous Physical Activity, Yaogang Han, Yubing Wang, Pan Li, Binn Zhang

Human Movement Studies & Special Education Faculty Publications

University students often intend to exercise regularly but fail to translate intention into action. The present study tested which post-intentional processes distinguish successful from unsuccessful intenders in self-reported regular leisure-time moderate-to-vigorous physical activity (MVPA) enactment. Chinese undergraduates from 10 universities completed a three-wave survey administered at roughly two-week intervals. Habit automaticity was assessed at Wave 1, intention together with action planning and coping planning at Wave 2, and self-reported regular-exercise status at Wave 3. Because the dependent variable was assessed using a single stage-based self-report item, the findings should be interpreted as explaining self-reported regular-exercise status rather than objectively measured …

The Relationship Between Physical Activity, Sleep, And Hallucinations In Adults With Charles Bonnet Syndrome, Jarrod Hollis, Rohit Narayan, Eldre W. Beukes, Rosie Lindsay, Aliyah Bharwani, Umair Mughal, Ikra Yaqoob, Justin A. Haegele, Scott Muriden, Peter M. Allen

Human Movement Studies & Special Education Faculty Publications

Physical activity levels, hallucination experiences, sleep quality, and perceived stress were assessed using a survey administered to 57 adults with a confirmed diagnosis of Charles Bonnet Syndrome (CBS). Physical activity demonstrated a significant negative correlation with hallucination severity (r = –0.335, p = 0.011, two-tailed). A significant negative correlation was also observed between physical activity and perceived stress (r = –0.497, p < 0.001, two-tailed). In contrast, no significant association was identified between hallucination frequency and sleep disruption or insomnia. These findings suggest that engaging in appropriate levels of physical activity may help reduce the severity of hallucinations and mitigate stress among individuals with CBS. The observation that higher levels of physical activity are associated with reduced hallucination burden may help the development of evidence-based management strategies for CBS. Additionally, the finding that physical activity was significantly related to hallucination severity, whereas sleep disruption was not, merits deeper exploration in future research.

Tramadol For Treatment Of Neurogenic Cough: A Retrospective Case Series, Benjamin Joseph Rubinstein, Sheela Saidha, John Todd Sinacori

Department of Otolaryngology (ENT) Faculty Publications

Objectives

Explore the efficacy of tramadol for neurogenic cough and describe the longitudinal treatment experience.

Methods

A retrospective case series of adults with chronic cough who were treated with tramadol for neurogenic cough. A complete response was defined as no pathologic coughing, and a partial response was defined as 50% or greater reduction in severity or frequency.

Results

Sixty-nine patients were included. 38% of patients reported a complete response with an additional 33% reporting a partial response. The most common successful dosing regimen was 50 mg BID. Age, gender, and BMI did not impact treatment response. Patients with a history …

Reply To: S. N. Katkuri Et Al. And H. Liu Et Al. On Early And Sustained Improvements In Sense Of Smell With Tezepelumab Treatment In Patients With Chronic Rhinosinusitis With Nasal Polyps (Waypoint), Joaquim Mullol, Joseph K. Han, Tanya M. Laidlaw, Claire Hopkins, Anju T. Peters, Oliver Pfaar, Martin Desrosiers, Stella E. Lee, Andrew P. Lane, Claudia Chen, Yun Chon, Sandhia S. Ponnarambil, Andrew Foster, Andrew W. Lindsley, Christopher S. Ambrose

Department of Otolaryngology (ENT) Faculty Publications

[Introduction] We thank Dr. S. N. Katkuri, Dr. H. Liu, and their coauthors [1, 2] for their interest in our recent publication describing the improvements in loss of smell symptoms with tezepelumab versus placebo in patients with uncontrolled chronic rhinosinusitis with nasal polyps (CRSwNP) in the WAYPOINT trial (NCT04851964) [3]. We are grateful for the authors' feedback on the clinical significance of the data presented and their appreciation of the consistency observed across a range of baseline clinical characteristic and demographic subgroups.

Use Of Tezepelumab For Chronic Rhinosinusitis With Nasal Polyps By Eosinophilic Endotype: Waypoint Post-Hoc Analysis, Shigeharu Fujieda, Nobuyoshi Otori, Joseph K. Han, Tadataka Yabuta, Claudia Chen, Claudio Marchese, Andrews Foster, Sandhia S. Ponnarambil, Yun Chan, Brian J. Lipworth

Department of Otolaryngology (ENT) Faculty Publications

Background

The phase 3 WAYPOINT study (NCT04851964) reported that tezepelumab improved outcomes in patients with chronic rhinosinusitis with nasal polyps (CRSwNP), including nasal polyp size, nasal congestion, and sinonasal symptoms, and reduced the need for surgery and systemic corticosteroids (SCS).

Objective

To evaluate the efficacy and safety of tezepelumab across Japanese Epidemiological Survey of Refractory Eosinophilic Chronic Rhinosinusitis-defined eosinophilic chronic rhinosinusitis (ECRS) subgroups.

Methods

Adults with severe CRSwNP were randomized to tezepelumab 210 mg or placebo every 4 weeks. Coprimary end points were the change from baseline to week 52 in total Nasal Polyp Score and the biweekly mean Nasal …

Single Intratympanic Injection Of Proprietary Brain-Derived Neurotrophic Factor (Oto-413) In Subjects With Speech-In-Noise Hearing Impairment: A Randomized, Dose Escalating, Double-Blind, Placebo-Controlled Phase 1/2 Study, Alan C. Foster, Jeffery J. Anderson, David R. Moore, Morgan Oktela Fuentes, Yiwei Wang, Peter G. Volsky, K. Paul Boyev, Victoria A. Sanchez

Department of Otolaryngology (ENT) Faculty Publications

Purpose

To evaluate the safety and tolerability and exploratory efficacy of OTO-413, an intratympanic-administered, sustained release formulation of brain-derived neurotrophic factor (BDNF) in a thermoreversible gel, in participants with speech-in-noise hearing difficulties.

Methods

This was a single dose, dose-ascending, randomized, double-blind, Placebo-controlled Phase 1/2 study conducted at 7 enrolling clinical sites in the U.S. 110 participants (56% female) enrolled had self-reported speech-in-noise (SIN) difficulties that were confirmed by a SIN test and were randomized to OTO-413 or Placebo. OTO-413 dose range was escalated from 0.01 mg to 1.5 mg within 7 Cohorts. Safety evaluations included monitoring for treatment-emergent adverse events, …

An Association Test For Ordinal Outcomes In Clustered Data With Informative Cluster Size, Hasika K. Wickrama Senevirathne, Sandipan Dutta

Mathematics & Statistics Faculty Publications

In cluster-correlated data, the number of observations in a cluster can be associated with the outcome from that cluster. This phenomenon is known as informative cluster size which can occur in cluster-randomized clinical trial data. Several studies have found that ignoring the issue of informative cluster size can produce biased results in the analysis of clustered data. Most of the existing methods for addressing informative cluster size are suited to continuous outcomes. However, ordinal outcomes and covariates are often encountered in clustered data obtained from large clinical studies. The existing methods for ordinal association testing in clustered data can produce …

Logistic-T Multinomial Mixture Model For Clustering For Microbiome Data, Wenshu Dai, Yuan Fang, Sanjeena Subedi

Mathematics & Statistics Faculty Publications

The logistic-normal multinomial distribution has been used for modelling microbiome data obtained from high-throughput sequencing technologies, which are compositional in nature. A logistic-normal multinomial distribution is a hierarchical multinomial distribution that assumes the latent variable which are the additive log-ratio (ALR) transformed proportions in a multinomial distribution follows a Gaussian distribution. Model-based clustering algorithms have also been developed for clustering microbiome data based on the logistic-normal models. However, the Gaussian assumption may violated when the ALR transformed variable exhibit heavy-tailed distributions or has outliers. Our study introduces a novel mixture of logistic-t multinomial models that effectively address these challenges. Utilizing …

Determining The Electric Field In A 10 Ns Pulsed Plasma In Fuel-Air Mixtures Using Efish, Md Ziaur Rahman, Christopher J. Kliewer, Brian D. Patterson, Chunqi Jiang

Bioelectrics Publications

Transient plasma ignition (TPI) utilizes non-equilibrium plasmas, produced by nanosecond high-voltage pulses, to improve lean-fuel combustion performance and reduce emission. It is known that the relatively high reduced electric field (E/N) in TPI plays an important role in generating energetic electrons and facilitating energy-efficient radical productions, resulting in reliable ignition for lean combustion. Determining the reduced electric field in the discharge is hence important for the understanding of the TPI process and ultimately allowing for the control of the plasma chemistry. This study reports spatiotemporally resolved measurements of the electric field (E) in a 10 ns pulsed plasma that is …

Ammonia Synthesis By Nanosecond Pulsed Atmospheric Pressure Plasma Jets Impinging On Water, Zach Caudell, Lynnet Rich, Olga Pakhomova, Chunqi Jiang

Bioelectrics Publications

Developing energy-efficient technologies for carbon-neutral ammonia (NH₃) synthesis is critical for decentralized fertilizer production and global decarbonization. This study investigates generating NH₃ from water using a nanosecond pulsed atmospheric pressure plasma jet (ns‑APPJ) operating in either N₂ or dry air. The plasma jet reactor employed approximately 250 ns, up-to-22 kV pulses at 500 Hz to sustain a nonequilibrium discharge impinging directly on static liquid water. The kinetics, energy efficiency, and product selectivity of NH3 formation were quantified as functions of the pulse voltage, repetition frequency (PRF), and gas flow rate. NH₃ production increased linearly with treatment time and scaled strongly …

Reward Deficits In Co-Occurring Social Anxiety And Depression: The Roles Of Anhedonia, Boredom, Loneliness, And Covid-19 Social Restriction, Nathan M. Hager, Alicia L. Milam, Hannah C. Hamrick, Benjamin Swanson, Matt R. Judah

Psychology Faculty Publications

Prior research points toward reward deficits as crucial to the link between social anxiety disorder and major depressive disorder. However, studies have not explored specific types of reward deficits or how social-environmental factors may impact them. The current study examined whether the indirect effects of three reward deficits (anhedonia, boredom, and loneliness) accounted for the connection between social anxiety and depression. Questionnaires were collected in a sample of college students (N = 523) during the first year of the COVID-19 pandemic, allowing examination of environmental stressors (i.e., remote learning and current friend network size) on reward deficits. Indirect effect models …

Gradient-Based, Post-Optimality Sensitivity Analysis With Respect To Parameters Of State Equations, Gene Hou, Jonathan Degroff

Mechanical & Aerospace Engineering Faculty Publications

Design optimization is a computational tool that can enable a designer to investigate the effectiveness of a design concept in an organized format. However, this design process requires the design variables, constraints, and objective function to be properly defined and expressed in mathematical forms. Post-optimality analysis thus becomes a necessary step to investigate different variations in the problem formulation and parameters to ensure that optimization produces a stable and trustworthy outcome. One efficient way to achieve this aim is to compute the local derivative of the optimized objective function with respect to the optimization problem parameters, such as bounds on …

Uncertainty-Aware Estimation, Planning, And Control For Tracking Multiple Drifting Patches In Flow Fields, Daniel O. Akanji, Krishnanand N. Kaipa, Cong Wei

Mechanical & Aerospace Engineering Faculty Publications

In this study, we present a replay-based framework for uncertainty-aware persistent tracking of multiple advected surface patches using an autonomous marine vehicle operating in spatiotemporal-varying currents. The method combines three components: local flow estimation, covariance-aware patch-boundary propagation with intermittent boundary fusion, and mission-level scheduling over multiple patches. Each patch is represented by a polygonal boundary, whose vertices are propagated through the estimated flow field while carrying per-vertex covariance, thereby quantifying uncertainty growth during advection. A flow-aware gain-scheduled linear quadratic regulator (LQR) was designed to shape the desired surge speed to take advantage of favorable currents. When the vehicle services a …

Influence Of Motion Artifacts On Instantaneous Frequency Based Heart Rate Variability Of Arterial Pulse Signals Measured By A Tactile Sensor: An Analytical Study, Mamun Hasan, Zhili Hao

Mechanical & Aerospace Engineering Faculty Publications

Objective: Heart rate variability (HRV), quantified via the instantaneous frequency (IF) of arterial pulse signals, is a key indicator of cardiovascular (CV) regulation. This study presents a theoretical and experimental investigation of how motion artifacts (MA) influence IF-and thus HRVmeasured with a tactile sensor, emphasizing underlying mechanisms rather than population-level validation. Approach: Building on a previously developed single-degree-of-freedom (SDOF) model of the tissue-contact-sensor (TCS) stack between the sensor and the artery, MA is represented as low-frequency baseline drift and time-varying system parameters (TVSP) of the TCS stack. Analytical expressions quantify the effect of MA on the IF of each harmonic …

Mechanical-Medical Convergence In Heart Failure: Artificial Intelligence, Finite-Element Modeling, And 3d Printing For Diagnosis And Prognosis, Quazi Noor E. Sabrina, Quazi Md Zobaer Shah, Quazi Noor E. Sohela, Md Mahabub Hasan Mousum, Md. Moyeen Uddin Chisty, Quazi Md. Akbar Shah

Mechanical & Aerospace Engineering Faculty Publications

Heart failure remains a leading cause of global morbidity and mortality, yet routine clinical indices often miss the regional biomechanical disturbances that drive progression and shape treatment response. This State-of-the-Art review examines how finite-element (FE) modeling, additive manufacturing, and artificial intelligence (AI) are converging to improve the diagnosis, phenotyping, procedural planning, and prognostic assessment of heart failure (HF). Although these technologies have matured in structural heart disease and transcatheter intervention research, their greatest translational potential may lie in HF, where patient-specific ventricular remodeling, myocardial stress–strain heterogeneity, valve-ventricular coupling, and device-tissue interaction are incompletely captured by conventional clinical indices. We synthesize …

Radical-Based Oxidative Pretreatment Enhances Biofuel Production From Lignocellulosic Biomass Via Hydrothermal Liquefaction, João Vitor Dos Santos, Louis C. Bondurant, Patrick G. Hatcher

Chemistry & Biochemistry Faculty Publications

The sustainable production of biofuels from lignocellulosic biomass is a central goal in the transition to low-carbon energy systems. However, hydrothermal liquefaction (HTL), a promising thermochemical conversion pathway, is constrained by the high oxygen content and complex aromatic structure of lignin, which lowers bio-oil quality. Here, we used a model system of brown-rot-degraded white oak (Quercus alba) to test whether radical-based oxidative pretreatment could enhance HTL performance by converting lignin into more aliphatic intermediates. Oxidation was performed under simulated Fenton conditions using fixed Fe(II) (60 ppm) and two hydrogen peroxide concentrations (3 and 8 M), resulting in extensive lignin depolymerization …

Twenty-One Years Of Global Atmospheric Chlorine Inventories From Atmospheric Chemistry Experiment Fourier Transform Spectrometer (Ace-Fts) Measurements, N. Raymond, P. Bernath, C. Boone, M. P. Chipperfield

Chemistry & Biochemistry Faculty Publications

We present atmospheric chlorine inventories over 21 years (2004-2024) and five latitude bands (82-60°N, 60-30°N, 30°N-30°S, 30-60°S, 60-82°S) across altitudes from the surface up to 61 km. These inventories were calculated using the Atmospheric Chemistry Experiment-Fourier Transform Spectrometer (ACE-FTS) version 5.3 retrievals of the volume mixing ratios (VMRs) of 13 chlorine-containing species. Of these, five are product gases: HCl, HOCl, ClONO₂, COClF, COCl₂, and eight are source gases: CCl₄, CH₃Cl, CFC-11 (CCl₃F), CFC-12 ( CCl₂F₂), CFC-113 (CClF₂CCl₂F}), HCFC-22 (CHF₂Cl), HCFC-141b ( C₂H₃Cl₂F), and HCFC-142b (C₂H₃}Cl₂F). Where necessary, ACE-FTS data were supplemented with data from the TOMCAT 3-D chemical transport model, …

Scanning Electron Microscopy As A Potential Tool For Distinguishing Charcoal From Dark, Oxidized, Biomass, João Vitor Dos Santos, Aleksandar I. Goranov, Lais Gomes Fregolente, Joao Marcos De Lima-Faria, Diego Stefani Teodoro Martinez, Patrick G. Hatcher

Chemistry & Biochemistry Faculty Publications

Condensed aromatic carbon (ConAC) is widely used as a proxy for organic materials derived from biomass burning. However, recent evidence shows that ConAC can be also formed through nonpyrogenic oxidative processes. This study presents a proof-of-concept investigation using scanning electron microscopy (SEM) to distinguish charcoal from dark, ConAC-rich materials produced by ambient oxidation of biomass. Pine wood exposed to long-term iron-mediated oxidation was compared with unaltered wood and a controlled laboratory-generated charcoal reference. Conventional geochemical analytical methods, including benzenepoly(carboxylic acid) (BPCA) analysis, Fourier transform–ion cyclotron resonance–mass spectrometry (FT-ICR-MS), solid-state 13C nuclear magnetic resonance (NMR) spectroscopy, and elemental analysis, confirmed substantial …

Methodological Insights And Trends: Participatory Positioning Of Children And Youth In Visual Art Education Research, Angela Eckhoff

Teaching & Learning Faculty Publications

Participatory research methods have a focus on facilitating research processes that engage with participants and, as such, aim to promote individual voice, facilitate richer reflection and dialogue, and enable the articulation of participants' unique experiences. To explore the degree to which participatory practices are enacted in visual art education research, the present study critically examines the agentic positioning of children and youth in school‐based, visual arts experiences through a systematic, methodological literature review. Findings from this review serve to ground proposed recommendations for the inclusion of supportive research practices that carefully attend to the unique considerations that arise during participatory …

Integrating Design Thinking In A Stem Methods Course, Demetrice Smith-Mutegi

Teaching & Learning Faculty Publications

Design thinking, a problem-solving approach, has been offered as a strategy to address the challenges of growing and complex teaching expectations. In this narrative, I describe an adapted model of design thinking that was implemented in a secondary STEM methods course for teacher candidates in a graduate program. A description of the key activities, including the fundamental role of empathizing, is shared. Design thinking, when implemented by teachers and teacher candidates, allows the teacher to design and improve a lesson or unit based on student feedback and engagement. This is especially important in today's rapidly evolving educational landscape, where educators …