Digital Commons Network^™

Understanding Mechanisms For Coastal Marsh Sustainability In A Changing Climate, Ashley R. Booth

LSU Doctoral Dissertations

In the Chenier Plain of Louisiana and Texas, coastal marshes are subject to high rates of relative sea level rise (RSLR), restricted sedimentation, and declining elevation attributed to subsidence and decades of intensive management. These marshes were created via mineral sedimentation but now largely accrete via organic matter accumulation. This organic matter accumulation (OMA) – or the balance between plant productivity and decomposition – is essential for maintaining elevation and thus long-term sustainability. However, management for elevation is complicated by a poor understanding of how abiotic factors like flooding and salinity impact processes driving OMA and elevation. To better understand …

Safeguarding Ecological Knowledge From The Effects Of Climate Change: An Archival Approach, Daena Jean Carrillo

LSU Doctoral Dissertations

Creating resources that facilitate the preservation of community-based archives and ecological knowledge in the Louisiana coastal region is integral to its survival amongst the effects of climate change. Research and records created and stored within the Louisiana coastal region have a higher predisposition to the drastic and pervasive effects of climate change and natural disasters. Modern archivists can insert themselves into the work of climate change action through their advocacy of safeguarding collections that have been created by communities and individuals through raw scientific and observational data and unpublished research. Just as archivists continue to frame their professional work around …

Development Of Machine Learning-Based Tool For Prediction Of Long-Term Field Performance Of Asphalt Concrete Overlays In A Hot And Humid Climate, Elise Mansour

LSU Doctoral Dissertations

The performance of pavement plays a critical role in Maintenance, Rehabilitation and Reconstruction (MR&R) for highway agencies. Reliable and accurate estimation of pavement performance can be instrumental in prioritization of the limited resources and funding for highway agencies. The latter requires robust prediction models that can handle large-scale, real-world data and can forecast pavement performance in the long run. Unfortunately, the traditional performance prediction models have raised concerns regarding their efficiency and accuracy. It is because these models were based on a limited number of explanatory variables, were not up-to-date and were designed for forecasting short-term (up to five years) …

Evaluating Growth Of Coastal Grass In Recycled Glass Sand: Evidence For Safe Application In Coastal Restoration, Allison B. Huddleston

Honors Capstones

Louisiana’s coastal land loss results from complex interactions of anthropogenic and naturally occurring processes that impact sediment supply in the Mississippi river delta. Given the coastline's vital role in the state’s economy, Louisiana has made significant investments in coastal restoration projects, including planting native vegetation and adding borrowed sediments. The amount of sediment needed to maintain Louisiana’s existing coastline exceeds the available amount that could be extracted, and state officials have since identified this lack of sustainable sediment resources as a critical limitation for future restoration projects. One proposed solution to address this shortage is using recycled crushed glass cullet …

Belonging And Heroic Non-Conformity In Marie-Célie Agnant's Femmes Aux Temps Des Carnassiers, Danica L E Guerrero

Tête à Tête: Journal of Francophone Studies

In an effort to maintain power in an authoritarian state, dictators target, silence, and eliminate those unwilling to conform. In Marie-Célie Agnant's 2015 novel Femmes aux temps des carnassiers, Mika Pelrin and her daughter Soledad are kidnapped, raped, and tortured by the Tonton Macoutes because of Mika's refusal to be silenced by the Duvalier regime in 1958. Through this fictional account based on appalling historical events and the tragic fate of journalist Yvonne Hakim Rimpel, Agnant insists on the vital societal role played by courageous women like her defiant character Mika who, through nonconformity and at the risk of their …

Calculation And Comparison Of Step Guidelines For Preschooler Physical Activity While Indoors, Halle Roman, Leanne M. Redman, Cody D. Neshteruk, Derek Hales, Brian Helsel, Chelsea L. Kracht

Clinical Research Faculty Publications

Objectives: Preschooler physical activity (PA) is vital for growth and development. The World Health Organization PA guidelines state preschoolers should achieve ≥ 180 min/day of Total PA (TPA) of which ≥ 60 min is moderate-to-vigorous PA (MVPA). A step/day recommendation to match these guidelines may be a more practical metric for caregivers to promote PA. The purpose of our investigation is to improve upon existing step recommendations by creating one for indoor-based activities, acknowledging where preschoolers spend most of their time, and various cut-points for PA. Methods: In a laboratory study (Aim 1), a validated direct observation protocol was used …

In Silico And Functional Analysis Identifies Key Gene Networks And Novel Gene Candidates In Obesity-Linked Human Visceral Fat, Lijin Wang, Pratap Veerabrahma Seshachalam, Ruiming Chua, Hongwen Zhou, Sun Lei, Sujoy Ghosh

Division of Basic Science Faculty Publications

Objective: Visceral adiposity is associated with increased proinflammatory activity, insulin resistance, diabetes risk, and mortality rate. Numerous individual genes have been associated with obesity, but studies investigating gene regulatory networks in human visceral obesity have been lacking. Methods: We analyzed gene regulatory networks in human visceral adipose tissue (VAT) from 48 and 11 Chinese patients with and without obesity, respectively, using gene coexpression and gene regulatory network construction from RNA-sequencing data. We also conducted RNA interference-based functional tests on selected genes for effects on adipocyte differentiation. Results: A scale-free gene coexpression network was constructed from 360 differentially expressed genes between …

Metabolomic Fingerprints Of Medical Therapy Versus Bariatric Surgery In Patients With Obesity And Type 2 Diabetes: The Stampede Trial, Christopher L. Axelrod, Adithya Hari, Wagner S. Dantas, Sangeeta R. Kashyap, Philip R. Schauer, John P. Kirwan

Division of Basic Science Faculty Publications

Objective: Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) are effective procedures to treat and manage type 2 diabetes (T2D). However, the underlying metabolic adaptations that mediate improvements in glucose homeostasis remain largely elusive. The purpose of this study was to identify metabolic signatures associated with biochemical resolution of T2D after medical therapy (MT) or bariatric surgery. Research Design and Methods: Plasma samples from 90 patients (age 49.9 ± 7.6 years; 57.7% female) randomly assigned to MT (n = 30), RYGB (n = 30), or SG (n = 30) were retrospectively subjected to untargeted metabolomic analysis using ultra performance liquid …

Genomic Analysis Of Intracranial And Subcortical Brain Volumes Yields Polygenic Scores Accounting For Variation Across Ancestries, Luis M. García-Marín, Adrian I. Campos, Santiago Diaz-Torres, Jill A. Rabinowitz, Zuriel Ceja, Brittany L. Mitchell, Katrina L. Grasby, Jackson G. Thorp, Ingrid Agartz, Saud Alhusaini, David Ames, Philippe Amouyel, Ole A. Andreassen, Konstantinos Arfanakis, Alejandro Arias-Vasquez, Nicola J. Armstrong, Lavinia Athanasiu, Mark E. Bastin, Alexa S. Beiser, David A. Bennett, Joshua C. Bis, Marco P.M. Boks, Dorret I. Boomsma, Henry Brodaty, Rachel M. Brouwer, Jan K. Buitelaar, Ralph Burkhardt, Wiepke Cahn, Vince D. Calhoun, Owen T. Carmichael, Mallar Chakravarty, Qiang Chen, Christopher R.K. Ching, Sven Cichon

Clinical Research Faculty Publications

Subcortical brain structures are involved in developmental, psychiatric and neurological disorders. Here we performed genome-wide association studies meta-analyses of intracranial and nine subcortical brain volumes (brainstem, caudate nucleus, putamen, hippocampus, globus pallidus, thalamus, nucleus accumbens, amygdala and the ventral diencephalon) in 74,898 participants of European ancestry. We identified 254 independent loci associated with these brain volumes, explaining up to 35% of phenotypic variance. We observed gene expression in specific neural cell types across differentiation time points, including genes involved in intracellular signaling and brain aging-related processes. Polygenic scores for brain volumes showed predictive ability when applied to individuals of diverse …

The Effects Of Anthropogenic Stressors On Above- And Belowground Phytochemical Diversity Of The Wetland Grass, Phragmites Australis, Andrea E. Glassmire, Ana L. Salgado, Rodrigo Diaz, Joseph Johnston, Laura A. Meyerson, Joshua S. Snook, James T. Cronin

Faculty Publications

Coastal wetlands face threats from climate change-induced flooding and biological invasions. Plants respond to these stressors through changes in their phytochemical metabolome, but it is unclear whether stressors affecting one tissue compartment (e.g., leaves) create vulnerabilities in others (e.g., roots) or elicit similar responses across tissues. Additionally, responses to multiple simultaneous stressors remain poorly understood due to the focus on individual metabolites in past studies. This study aims to elucidate how the phytochemical metabolome of three Phragmites australis (Cav.) lineages, common in the Mississippi River Delta, responds to flooding and infestation by the non-native scale insect Nipponaclerda biwakoensis (Kuwana). Among …

Historic Breeding Practices Contribute To Germplasm Divergence In Leaf Specialized Metabolism And Ecophysiology In Cultivated Sunflower (Helianthus Annuus), Jordan A. Dowell, Alan W. Bowsher, Amna Jamshad, Rahul Shah, John M. Burke, Lisa A. Donovan, Chase M. Mason

Faculty Publications

Premise: The use of hybrid breeding systems to increase crop yields has been the cornerstone of modern agriculture and is exemplified in the breeding and improvement of cultivated sunflower (Helianthus annuus). However, it is poorly understood what effect supporting separate breeding pools in such systems, combined with continued selection for yield, may have on leaf ecophysiology and specialized metabolite variation. Methods: We analyzed 288 lines of cultivated H. annuus to examine the genomic basis of several specialized metabolites and agronomically important traits across major heterotic groups. Results: Heterotic group identity supports phenotypic divergences between fertility restoring and cytoplasmic male-sterility maintainer …

Combined Toxicity Of Multi-Walled Carbon Nanotubes And Cu2+ On The Growth Of Ryegrass: Effect Of Surface Modification, Dose, And Exposure Time Pattern, Wenwen Xie, Cheng Peng, Weiping Wang, Xiaoyi Chen, Jiaqi Tan, Wei Zhang

Faculty Publications

The escalating release of multi-walled carbon nanotubes (MWCNTs) into the environment has raised concerns due to their potential ecotoxicological impacts. However, their combined phytotoxicity with heavy metals such as copper (Cu) is still unclear. This study investigated the individual and combined toxic effects of MWCNTs (MWCNT, MWCNT-OH, and MWCNT-COOH) and Cu²⁺ on ryegrass (Lolium multiflorum), uniquely considering different addition orders. The results show that Cu severely inhibited the growth of ryegrass while MWCNTs exhibited a hormesis effect on ryegrass. When MWCNT and Cu were combined, the malondialdehyde (MDA) content in ryegrass showed a 32.39% increase at 20 mg/L MWCNT …

Venomcap: An Exon-Capture Probe Set For The Targeted Sequencing Of Snake Venom Genes, Scott L. Travers, Carl R. Hutter, Christopher C. Austin, Stephen C. Donnellan, Matthew D. Buehler, Christopher E. Ellison, Sara Ruane

Faculty Publications

Snake venoms are complex mixtures of toxic proteins that hold significant medical, pharmacological and evolutionary interest. To better understand the genetic diversity underlying snake venoms, we developed VenomCap, a novel exon-capture probe set targeting toxin-coding genes from a wide range of elapid snakes, with a particular focus on the ecologically diverse and medically important subfamily Hydrophiinae. We tested the capture success of VenomCap across 24 species, representing all major elapid lineages. We included snake phylogenomic probes in the VenomCap capture set, allowing us to compare capture performance between venom and phylogenomic loci and to infer elapid phylogenetic relationships. We demonstrated …

Precision Bottlebrush Polymers: Synthesis, Characterization, And Structure-Property Relationship, Nduka D. Ogbonna

LSU Doctoral Dissertations

Bottlebrush polymers, a type of non-linear polymer characterized by densely grafted side chains on a linear backbone, offer a versatile platform for material design due to their unique thermomechanical and rheological behavior. Addressing the grand challenge of achieving structural precision for bottlebrush polymers remains crucial because traditional disperse mixtures are plagued with batch variability, limiting our ability to control their functions, and correlate theoretical predictions with experiments. To date, narrow-dispersity bottlebrush polymers remain highly heterogeneous, as they are typically synthesized from disperse linear building blocks.

To address this longstanding challenge of structural heterogeneity in brush polymers, the primary objective of …

Prediction Of Individual Weight Loss Using Supervised Learning: Findings From The CalerieTm 2 Study, Christina Glasbrenner, Christoph Höchsmann, Carl F. Pieper, Paulina Wasserfurth, James L. Dorling, Corby K. Martin, Leanne M. Redman, Karsten Koehler

Clinical Research Faculty Publications

Background: Predicting individual weight loss (WL) responses to lifestyle interventions is challenging but might help practitioners and clinicians select the most promising approach for each individual. Objective: The primary aim of this study was to develop machine learning (ML) models to predict individual WL responses using only variables known before starting the intervention. In addition, we used ML to identify pre-intervention variables influencing the individual WL response. Methods: We used 12-mo data from the comprehensive assessment of long-term effects of reducing intake of energy (CALERIETM) phase 2 study, which aimed to analyze the long-term effects of caloric restriction on human …

Learning Problems Related To Stochastic Differential Equations, Jinpu Zhou

LSU Doctoral Dissertations

Stochastic differential equations (SDEs) are essential for modeling systems influenced by both deterministic dynamics and random fluctuations, with applications in a wide variety of disciplines. This thesis develops a Bayesian framework for nonparametric learning in SDEs, addressing key challenges in inference, particularly when dealing with complex systems and incomplete data. The thesis begins by establishing a theoretical foundation in optimization over Hilbert spaces, including a generalized representer theorem to address infinite-dimensional optimization problems encountered in nonparametric inference. Building on this, we introduce a Bayesian framework with shrinkage priors to learn drift functions from high-frequency data. Bayesian approach incorporates low-cost sparse …

Deephive: A Reinforcement Learning Approach For Automated Discovery Of Swarm-Based Optimization Policies, Eloghosa Ikponmwoba, Opeoluwa Owoyele

Faculty Publications

We present an approach for designing swarm-based optimizers for the global optimization of expensive black-box functions. In the proposed approach, the problem of finding efficient optimizers is framed as a reinforcement learning problem, where the goal is to find optimization policies that require a few function evaluations to converge to the global optimum. The state of each particle within the swarm is defined as its current position and function value within a design space, and the particles learn to take favorable actions that maximize the reward, which is based on the final value of the objective function. The proposed approach …

Research Gaps And Priorities For Quantitative Microbial Risk Assessment (Qmra), Kerry A. Hamilton, Joanna Ciol Harrison, Jade Mitchell, Mark Weir, Marc Verhougstraete, Charles N. Haas, A. Pouyan Nejadhashemi, Julie Libarkin, Tiong Gim Aw, Kyle Bibby, Aaron Bivins, Joe Brown, Kara Dean, Gwyneth Dunbar, Joseph N.S. Eisenberg, Monica Emelko, Daniel Gerrity, Patrick L. Gurian, Emma Hartnett, Michael Jahne, Rachael M. Jones, Timothy R. Julian, Hongwan Li, Yanbin Li, Jacqueline Mac Donald Gibson, Gertjan Medema, J. Scott Meschke, Alexis Mraz, Heather Murphy, David Oryang, Emmanuel De Graft Johnson Owusu-Ansah, Emily Pasek, Abani K. Pradhan

Faculty Publications

The coronavirus disease 2019 pandemic highlighted the need for more rapid and routine application of modeling approaches such as quantitative microbial risk assessment (QMRA) for protecting public health. QMRA is a transdisciplinary science dedicated to understanding, predicting, and mitigating infectious disease risks. To better equip QMRA researchers to inform policy and public health management, an Advances in Research for QMRA workshop was held to synthesize a path forward for QMRA research. We summarize insights from 41 QMRA researchers and experts to clarify the role of QMRA in risk analysis by (1) identifying key research needs, (2) highlighting emerging applications of …

Addressing Knowledge Gaps In Disease Epidemiology And Detection Of Fungicide Resistance In Cercospora Leaf Blight Of Soybean, Stephanie Karen Ramos

LSU Master's Theses

Cercospora leaf blight (CLB) has been the primary foliar disease impacting the soybean crop in the mid-South for over a decade. A poor understanding of disease epidemiology and the prevalence of fungicide resistance have added complexity to management efforts. Recent findings suggest that airborne conidia play a significant role in the outbreak of CLB. We investigated the relationship between weather variables and conidial release using multi-site, multi-year spore trapping data. The findings confirm that C. cf. flagellaris is the dominant CLB pathogen, contributing significantly more conidia than C. cf. sigesbeckiae and C. kikuchii in soybean fields across Arkansas, Mississippi, …

Digital Agriculture Approaches: Uav-Based N Monitoring And Machine Learning For Maize Yield Prediction, And N Response Assessment Across Rice Varieties, Rejina Adhikari

LSU Master's Theses

Sustainable agriculture is essential for addressing global challenges such as food security, environmental degradation, and climate change while ensuring high productivity and resource conservation. Precision agriculture technologies, like UAV-based remote sensing and advanced sensors, offer tools to monitor real-time crop health, soil conditions, and nutrient levels, aiding in informed decision-making and resource optimization. In this research, field trials were conducted in maize and rice to assess the effectiveness of NDRE (Normalized Difference Red Edge) obtained from UAV-based remote sensing for nitrogen management. For maize, the study demonstrated that NDRE accurately assessed nitrogen levels during critical growth stages, with yields ranging …

Determining The Impact Of Lethal Temperature And Relative Humidity When Combined With Various Insecticide Classes Against A Bed Bug (Cimex Lectularius) Population., Bandana Shrestha

LSU Master's Theses

Common bed bugs (Cimex lectularius) are obligatory blood-feeding pests that have adapted well to survive in challenging environmental conditions. Known for their high tolerance to dehydration, low water loss, and high critical thermal maximum, they have become difficult to manage. Environmental factors, particularly temperature and humidity, play a significant role in their survival. However, with growing resistance to insecticides, integrated pest management (IPM) strategies are now essential for effective bed bug control. A key strategy in IPM involves combining insecticides with heat treatments. This method aims to overcome the limitations of heat treatment alone, as bed bugs may …

Exploring The Efficacy Of Transcutaneous Auricular Vagal Nerve Stimulation On Post-Stroke Aphasia: A Single-Subject Design Study, Aswathy Anakkathil Pradeep

LSU Doctoral Dissertations

Background: Anomia or word-retrieval difficulty is a common long-term language impairment for individuals with post-stroke aphasia. Several behavioral interventions like semantic feature analysis (SFA) have shown positive results in naming outcomes, but continue to face difficulty in generalizing the treatment effects to untreated items. With recent advancements in technology, researchers are developing newer neuromodulation devices that aim at promoting neuroplasticity and neural reorganization in post-stroke individuals. Transcutaneous auricular vagal nerve stimulation (taVNS) is a relatively new technology that aims at stimulating the auricular branch of the vagal nerve to promote neuroplasticity. Studies have shown taVNS to potentially facilitate positive improvements …

Evaluating Viability, Developmental Competence, And Chromatin Configurations Of Cryopreserved Equine Oocytes, Tricia Adams

LSU Doctoral Dissertations

Assisted reproduction technology and the use of specialized laboratories have increased in the horse breeding industry over the last decade. This expansion has highlighted the inability to routinely cryopreserve oocytes and preserve female genetics. Oocyte vitrification, a cryopreservation process, continues to be characterized as an experimental procedure in horses. The goal of this dissertation was to evaluate the viability, developmental competence, and nuclear structures of cryopreserved equine oocytes to illuminate potential areas of improvement in the vitrification process. Oocytes were collected from abattoir derived ovaries and exposed to either varying lengths of in vitro maturation (IVM) or pretreated with a …

Effects Of Retinal Gonadotropin-Releasing Hormone On Reproductive Behavior And Retinal Activity In The Cichlid Fish, Astatotilapia Burtoni, Chase Anselmo

LSU Master's Theses

Many animals use visual signals to evade predators, forage for food, and communicate with conspecifics. Some animals that shift into and out of breeding stages, such as fish, can modulate their visual sensitivity to better adapt to changing internal and external conditions. Previous work in our lab demonstrated that females of the cichlid fish Astatotilapia burtoni have improved visual sensitivity when they enter reproductive readiness. However, little is known about how fish and vertebrates more broadly modulate visual sensitivity across their reproductive cycle. We hypothesized that the hormone and neuromodulator gonadotropin-releasing hormone (GnRH) could modulate visual sensitivity because GnRH is …

Improving Rice Yield Using Sensor Based Nitrogen Application And Best Management Practices (Bmps) In Rice-Soybean And Rice-Crawfish Rotational Systems, Charles Darnall

LSU Master's Theses

Sustainable rice farming requires effective nutrient management and conservation practices to maintain high yields and minimize environmental impact. Implementing best management practices (BMPs) promotes lower fertilizer application rates, increased N use efficiency, improves soil health, and water quality. Demonstration fields established in two different rotational cropping systems (rice-soybean and rice-crawfish) in Kaplan, LA in 2023. In each rotation system, the benefits of BMPs (sensor based mid-season N management and cover cropping) compared to farmer’s practice (FP) were evaluated using yield, yield components, soil and water quality as metrics. The rice-soybean fields in 2023 and 2024 were both planted with PVL03 …

Intensification Strategies Of Southern Arizona Bilinguals, Sadie E. Seilhan

LSU Master's Theses

The present thesis explores the intensification strategies employed by bilingual Spanish-English speakers in Southern Arizona, focusing on six distinct devices: lexical, phrasal, repetition, reformulation, hyperbole, and code-switching. While previous research has largely centered on adverbial and lexical intensifiers in monolingual contexts, this study broadens the scope by examining how bilingual speakers leverage their unique linguistic repertoire to amplify their speech. Using a sociopragmatic framework, the analysis reveals a marked preference for lexical intensification, which accounts for more than half of the recorded instances, with phrasal intensification and repetition following closely. Despite its lower frequency, code-switching stands out as a particularly …

Evaluation Of Wood Fibers Derived From Different Tree Species And Processing Methods On Crop Growth And Microbial Activity In Soilless Substrates, Amanda Mizell

LSU Master's Theses

Soilless culture use is expanding as arable land and viable fumigants have decreased in availability. This has subsequently increased the demand for soilless substrates for container crop production. The primary component in most soilless substrates is Sphagnum peat moss, which is considered unsustainable due to the extensive time it takes to produce and the release of large amounts of carbon into the atmosphere during harvesting. Research into viable peat moss amendments to reduce reliance on this relatively non-renewable material has become a necessity. The most promising amendment that has been accepted in the horticulture industry as a viable amendment is …

The Role Of Siamese In G2 Checkpoint Regulation In Arabidopsis Thaliana, Martha A. Schwall

LSU Doctoral Dissertations

Cyclin-cyclin dependent kinase (Cyclin-CDK) pairs regulate progression through the checkpoints of the cell cycle. They bind with some specificity and must be bound to for their regulative properties to be active. The presence of cyclin-CDKs is conserved throughout eukaryotes, while differences in specifics exist between yeast, animals, and plants. In Arabidopsis, SIAMESE (SIM) is a CDK inhibitor that restricts progression through mitosis. Overexpression of SIM is required for endoreplication in Arabidopsis trichomes, and overexpression of SIM results in increased endoreplication in leaf epidermal cells. SIM is expressed at high levels in the root elongation zone, where it plays a …

Enhancing Writing By Increasing Metacognitive Skills Through Socratic Seminars In A High Poverty Middle School Social Studies Classroom: An Intrinsic Case Study, Kirsten Hickingbottom

LSU Doctoral Dissertations

The purpose of this intrinsic case study was to better understand the role metacognitive skills play within classroom settings to increase students’ writing through Socratic Seminars. A predominant question guided this study: Can improving student metacognition through the repetitive use of questioning techniques in Socratic Seminars lead to improved writing skills? This question, along with four additional research questions guided the research. There is a need for more activities that promote metacognition due to its correlation with academic achievement, critical thinking skills, problem-solving abilities, and perceived self-efficacy (Keus, 2020). The significance of this study was to examine a method of …

Stress On The Brain: An Investigation Into The Impact Of Stress On Learning, Memory, And Metamemory Processes, Felicia M. Chaisson

LSU Doctoral Dissertations

While acute anxiety or stress has been shown to enhance certain cognitive functions, such as memory for emotionally salient stimuli, its effects on memory for emotionally neutral information remain ambiguous. Successful memory encoding and retrieval often involve control processes—both self-initiated and directed—that dictate organization during learning. Previous research indicates that these processes facilitate the contextual binding and organization of information. However, multi-domain evidence suggests that stress during encoding may be disrupted due to changes in neural mechanisms at play. This dissertation explores how stress impairs cognitive control, identifies potential underlying neural correlates, and examines broader metacognitive influences. Chapter 1 begins …