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Consumer Behavior In End-Of-Current-Use Electronics: A Multi-Method Approach To Improving Sustainability Outcomes, Payam Saeedi Aug 2026

Consumer Behavior In End-Of-Current-Use Electronics: A Multi-Method Approach To Improving Sustainability Outcomes, Payam Saeedi

Theses

The proliferation of network-connected consumer electronics has created a sustained challenge for sustainability and data security at the End-of-Current-Use (EoCU) stage. In the United States, devices accumulate in storage rather than entering reuse or recycling pathways, and a substantial share of devices change hands without proper data sanitization. This dissertation characterizes and quantifies consumer behavior at EoCU of consumer electronics in the U.S., with the goal of supporting the design of interventions that improve sustainability and data security outcomes. A survey of 4,000 U.S. respondents (3,747 after data cleaning) was developed and deployed across 10 categories of network-connected devices, capturing …


Archaeal Signal Peptide Prediction Through Integration Of Proteomics And Machine Learning, Anjali Kaur Aug 2026

Archaeal Signal Peptide Prediction Through Integration Of Proteomics And Machine Learning, Anjali Kaur

Theses

Signal peptides are short N-terminal amino acid sequences that direct proteins through cellular secretion pathways and play an essential role in protein localization and function. Computational tools such as SignalP are widely used to predict signal peptides. However, prediction accuracy for archaeal proteins remains lower than for bacterial and eukaryotic proteins, likely because relatively few archaeal proteins were available for model training. The goal of this study was to determine whether expanding the archaeal training data used by SignalP 6.0 could improve archaeal signal peptide prediction. Archaeal proteomics datasets from five archaeal species were analyzed to identify proteins with experimentally …


Stochastic Inverse Problems In Stochastic Elliptic And Parabolic Pdes, Zi-Jia Gong Aug 2026

Stochastic Inverse Problems In Stochastic Elliptic And Parabolic Pdes, Zi-Jia Gong

Theses

This dissertation presents a computational framework for solving stochastic inverse problems in partial differential equations (PDEs) with random data. The objective is to recover unknown random coefficients in parabolic and elliptic diffusion equations, as well as nearly incompressible linear elasticity models. To achieve this, optimization-based approaches are used to minimize regularized Energy Least Squares (ELS) and Output Least Squares (OLS) objective functionals. Both direct and adjoint methods are used to estimate the gradient and Hessian of the objective functionals with respect to the coefficients. To avoid the expensive computation of the full Hessian matrix, the Newton-CG-like method is also adopted, …


Retroverse: Enhancing Fashion Shopping Experience Through Augmented Reality, Fanghao Wang Aug 2026

Retroverse: Enhancing Fashion Shopping Experience Through Augmented Reality, Fanghao Wang

Theses

RetroVerse is a conceptual augmented reality (AR) application that reimagines the vintage fashion shopping experience by addressing the information gaps that often make secondhand purchasing uncertain and inefficient. As the resale market continues to grow, consumers frequently struggle to identify garments, verify authenticity, evaluate condition, compare prices, and determine fit, requiring them to rely on multiple platforms and personal knowledge before making a purchase. To address these challenges, RetroVerse integrates augmented reality, image recognition, and contextual product information into a unified shopping experience. Through video and live garment scanning, users can access brand history, manufacturing information, condition assessments, marketplace price …


Evaluation Of Mechanical Properties And Seal Strength Of Medical Packaging Materials Before And After Supercritical Co₂ Sterilization, Camila Madriz Pizarro Aug 2026

Evaluation Of Mechanical Properties And Seal Strength Of Medical Packaging Materials Before And After Supercritical Co₂ Sterilization, Camila Madriz Pizarro

Theses

The sterilization of medical devices is critical in the prevention of infections in healthcare settings. Ethylene oxide (EtO), gamma irradiation, and steam sterilization have been the standard sterilization processes in healthcare settings, where the packaging system remains the most important barrier between the sterilized instrument/device. Safety concerns and regulatory pushback on conventional sterilization methods have pushed for further research on new sterilization techniques. Among the emerging sterilization technologies, one candidate that has garnered considerable attention is Supercritical CO2 sterilization. However, there is a lack of literature to support the compatibility between scCO2 and common medical packaging materials. The present study …


Multi-Omic Analysis Of Molecular Changes In Haloferax Volcanii Biofilm Development, Joshua Koller Aug 2026

Multi-Omic Analysis Of Molecular Changes In Haloferax Volcanii Biofilm Development, Joshua Koller

Theses

Biofilms are the predominant lifestyle of microorganisms and offer protection against environmental stress. Archaeal biofilm development remains poorly understood relative to its bacterial counterpart, and the fundamental differences between these two domains prevent direct extrapolation from bacterial models. To address this gap, we used quantitative proteomics and transcriptomics to characterize the molecular changes accompanying biofilm formation and maturation in the model archaeon Haloferax volcanii. Protein and transcript abundance were measured across seven conditions spanning both lifestyles and multiple timepoints, with glycosylated proteoforms quantified as entities distinct from their unmodified counterparts, covering both established biofilm-associated structures and newly identified candidates. Known …


A Study Of Phylogenetic Relationships Of Dichanthelium Based On Plastomes, Humera Fatima Aug 2026

A Study Of Phylogenetic Relationships Of Dichanthelium Based On Plastomes, Humera Fatima

Theses

Dichanthelium (Hitchcock & Chase) Gould is a genus in the grass family (Poaceae) with a wide range of morphological diversity, exhibiting significant ecological differences. Despite this, its evolutionary relationships are not fully understood. The ambiguity surrounding the boundaries of lineages and the relationships among species has hindered the systematics of the genus. This study aimed to reconstruct the phylogenetic relationships within Dichanthelium, verify the monophyly of species, and evaluate the strength of the inferred relationships across different analytical frameworks. Molecular sequence data of entire plastomes were examined using both maximum likelihood and Bayesian inference methods to develop phylogenetic hypotheses. Phylogenies …


Analyzing The Effects Of Biodegradable Plastic Fragments On Maize Development And Defense Signaling, Ulysses Hampton Aug 2026

Analyzing The Effects Of Biodegradable Plastic Fragments On Maize Development And Defense Signaling, Ulysses Hampton

Theses

As plastic use shifts from non-degradable to biodegradable materials, the effects of biodegradable plastic fragments on crop physiology remain unclear. This study investigated how biodegradable plastic fragments influence maize development, transpiration, and defense signaling. Among five plastic types tested, poly(butylene adipate-co-terephthalate) (PBAT), polyhydroxyalkanoates (PHA), polycaprolactone (PCL), polylactic acid (PLA), and thermoplastic starch (TPS). PBAT and TPS showed the most significant effects and were selected for further oxylipin analysis. Results indicate that biodegradable plastic fragments can alter oxylipin signaling pathways in subtle but meaningful ways, suggesting that these materials are not inherently risk-free alternatives to conventional plastics.


Ai-Assisted, Multi-Layer Enhancement Of The Data Delivery Index (Ddi) For Fitness-For-Purpose Data Quality Assessment, Batool Abuhlaiqa Aug 2026

Ai-Assisted, Multi-Layer Enhancement Of The Data Delivery Index (Ddi) For Fitness-For-Purpose Data Quality Assessment, Batool Abuhlaiqa

Theses

High-quality data is fundamental to the production of reliable official statistics and evidence-based decision-making. While deterministic data quality assessment frameworks provide transparent, consistent, and reproducible evaluations, they are limited in accommodating the intended statistical use of data and identifying complex quality issues beyond predefined validation rules. As administrative datasets continue to increase in volume, diversity, and complexity, there is a growing need for governance-oriented approaches that enhance existing quality assessment practices without compromising transparency, accountability, or consistency. This research proposes and evaluates an AI-assisted multi-layer enhancement of the DDI, a governance-oriented data quality assessment framework developed by SCAD. The proposed …


Radical Regionalism: Integrating Historical Vernacular Wisdom With Modern Building Science For Resilient Envelope Design, Barbara Patricia Montano Aug 2026

Radical Regionalism: Integrating Historical Vernacular Wisdom With Modern Building Science For Resilient Envelope Design, Barbara Patricia Montano

Theses

This thesis investigates how vernacular environmental knowledge can be integrated with contemporary building science to inform climate-responsive residential building-envelope design. In response to the limitations of standardized construction approaches across diverse climatic regions, the research proposes Radical Regionalism, a framework that combines vernacular environmental principles, passive design strategies, sustainable material selection, building-envelope science, and resilience considerations within a performance-based design methodology. A comparative climate-based modeling methodology is applied to a representative single-family residential prototype across four contrasting United States climatic contexts: Miami, Florida (hot-humid); Phoenix, Arizona (hot-dry); Boston, Massachusetts (cold-humid); and Denver, Colorado (cold-dry). Representative conventional code-minimum wall assemblies are …


Modeling Active Galactic Nuclei Spectra Of Supermassive To Hypermassive Black Holes, Priti Finavia Aug 2026

Modeling Active Galactic Nuclei Spectra Of Supermassive To Hypermassive Black Holes, Priti Finavia

Theses

It is generally believed that most massive galaxies host supermassive black holes (SMBHs) at their centers, with masses ranging from 10^6 -10^{10} M☉. During phases of rapid accretion, these SMBHs emit electromagnetic radiation across the entire spectrum, resulting in luminous active galactic nuclei (AGN). An open question is whether SMBHs can grow to exceed 10^{10} M☉ through continued accretion and successive mergers, potentially forming hypermassive black holes (HMBHs).  The broad line region (BLR) consists of dense gas clouds located within sub-parsec distances of the central SMBH. The clouds are photoionized by continuum radiation emitted by the accretion disk and hot …


Puzzles & Frames: Exploring Motion Graphics In Thriller Movie Poster Design, Xingyu Xiao Aug 2026

Puzzles & Frames: Exploring Motion Graphics In Thriller Movie Poster Design, Xingyu Xiao

Theses

This thesis explores how motion graphics can expand the role of traditional movie posters and create more engaging visual communication experiences. The project began with an observation that static posters displayed in busy campus environments can easily be overlooked. This led to the central question of how motion graphics can make traditional movie posters more visually engaging and effective in campus environments. To investigate this question, I developed a series of dynamic thriller movie posters that combine traditional graphic design elements—including typography, composition, imagery, abstraction, and visual hierarchy—with motion. The design process developed through several stages of experimentation. Early studies …


Beyond Conventional Construction A Sustainability Assessment Of 3d-Printed Concrete For Multi-Family Housing, Jennifer Candelier Aug 2026

Beyond Conventional Construction A Sustainability Assessment Of 3d-Printed Concrete For Multi-Family Housing, Jennifer Candelier

Theses

The construction industry continues to face significant challenges, including labor shortages, increasing housing demand, rising material costs, and pressure to reduce environmental impacts. Three-dimensional printed concrete (3DPC) has emerged as a potential alternative to conventional construction methods by improving automation, material efficiency, and construction productivity. However, existing research has focused primarily on single-family applications, leaving limited understanding of its feasibility for multi-family residential construction. This study evaluates whether 3D printed concrete can become a standardized construction method for multi-family residential buildings by comparing it with conventional concrete masonry unit (CMU) construction. A comparative, performance-based methodology was developed using two equivalent …


What Representations Preserve: Information-Theoretic And Geometric Conditions For Out-Of-Distribution And Hallucination Detection, Hong Yang Aug 2026

What Representations Preserve: Information-Theoretic And Geometric Conditions For Out-Of-Distribution And Hallucination Detection, Hong Yang

Theses

Models deployed outside controlled settings encounter inputs unlike their training data and may generate outputs unsupported by what they learned. A reliable system should recognize these cases. Out-of-distribution detection and hallucination detection are usually studied separately, but both depend on the same condition: the model's representation must retain the information that distinguishes an anomalous case from an ordinary one. If training never captures that information, or later suppresses it, no downstream detector can recover it. We study this condition from two complementary perspectives. Mutual information measures how much information about the relevant distinction remains in a representation, while feature-space geometry …


Comparing Initial Data For Binary Neutron Star Mergers With Different Equations Of State, Aarati Nandre Aug 2026

Comparing Initial Data For Binary Neutron Star Mergers With Different Equations Of State, Aarati Nandre

Theses

Binary neutron star (BNS) mergers are an important tool for studying nuclear matter at extreme densities inaccessible to laboratory experiments. The equation of state (EOS) of this nuclear matter affects the inspiral dynamics, remnant properties, and the resulting gravitational-wave signal, but remains only weakly constrained at supranuclear densities. The observation of  GW170817 provided observational constraints on the EOS and established multimessenger astrophysics as a probe of dense matter. Simulating BNS mergers across a range of EOSs and comparing the resulting observables against detections helps narrowing this uncertainty further, and is the broader motivation for this thesis. General relativistic magnetohydrodynamic simulations …


Biochar-Derived Ethylene Scavengers For The Preservation Of Bananas, Morgan Samson Aug 2026

Biochar-Derived Ethylene Scavengers For The Preservation Of Bananas, Morgan Samson

Theses

Ethylene regulates the rapid ripening of numerous climacteric fruits (e.g., banana, tomato, mango, and avocado). Minimization of ethylene formation and action in fruits during harvest or at any stage along the supply chain has become an important approach to prolong storage periods and minimize postharvest losses. Active packaging with ethylene scavengers has been proven to extend the shelf life of climacteric fruits; however, a cost-effective and sustainable solution is needed. Biochar-derived ethylene scavengers offer a promising approach to minimize postharvest losses, along with the valorization of abundant organic residues. This study produced and characterized biochars from two different feedstocks (i.e., …


Development And Characterization Of Pellet-Printable Pla/Waste Tire Rubber Composites For 4d Additive Manufacturing, Deepak Haresh Devjani Aug 2026

Development And Characterization Of Pellet-Printable Pla/Waste Tire Rubber Composites For 4d Additive Manufacturing, Deepak Haresh Devjani

Theses

Waste tire rubber (WTR) presents a persistent environmental challenge but also offers potential as a functional filler for polymer-based additive manufacturing. This study developed and characterized pellet-printable polylactic acid (PLA)/WTR composites for conventional and 4D printing. WTR powder was treated using a nominal 6 wt% sodium hydroxide solution and incorporated into PLA at 0, 1, 3, 5, and 7 wt%. The formulations were mechanically premixed, melt-compounded, pelletized, and processed by fused granulate fabrication under constant printing conditions. Optical microscopy, thermogravimetric analysis, differential scanning calorimetry, tensile, compression, and impact testing were conducted. Shape-memory performance was evaluated by compressing grid-infilled specimens to …


Personalization And Generalization In Machine Learning For Affective Ai, Rajesh Titung Aug 2026

Personalization And Generalization In Machine Learning For Affective Ai, Rajesh Titung

Theses

Human emotional communication involves subtle, low-intensity, and context-dependent expressions influenced by sociocultural and interpersonal factors. Their inherent ambiguity and variability create heterogeneous data distributions, making affective phenomena difficult to model in naturalistic settings where expressions differ from exaggerated affect behaviors in acted environments. Affective AI faces the fundamental challenge of balancing personalization, which captures individual nuances, with generalization, which ensures robustness of affective AI systems across individuals. Traditional centralized models emphasizing generalization often fail to capture fine-grained expressive heterogeneity, while fully personalized models improve system performance for individuals but lack transferability and robustness. The central task is thus to develop …


Design Of A Continuum Robot Test Bed Utilizing Model-Free Sliding Mode Control, Joseph Paul Streib Aug 2026

Design Of A Continuum Robot Test Bed Utilizing Model-Free Sliding Mode Control, Joseph Paul Streib

Theses

Continuum robots are a class of continually deformable robots inspired by snakes and tentacles that are commonly used in medical, search and rescue, and exploration applications. The robots are highly nonlinear and difficult to accurately model and control. Precise control of the pose of a continuum robot is typically reliant upon a system model. This work introduces a novel model free control algorithm for continuum robots that only relies upon the robot’s position in task space. The derived controller is built upon the foundation of a preexisting model free sliding mode controller and the q-state parameterized piecewise constant curvature kinematic …


Capital Cities: The Intersection Of Power And Protest Urban Planning And Civic Design In Brasília And Washington, D.C., Noah Benjamin Gill Aug 2026

Capital Cities: The Intersection Of Power And Protest Urban Planning And Civic Design In Brasília And Washington, D.C., Noah Benjamin Gill

Theses

The physical environments of capital cities play a critical role in shaping how citizens interact with governmental power, particularly during moments of political unrest, protest, and democratic conflict. As both symbolic representations of national identity and functional centers of government, these urban landscapes influence how citizens approach, occupy, and confront civic institutions through their planning, architectural form, circulation networks, and spatial organization. Government buildings, public plazas, monumental landscapes, and civic axes do more than provide settings for political activity; they actively shape patterns of movement, visibility, accessibility, and control. The design of these spaces influences not only how democratic institutions …


Engineering Materials Function With Reconfigurable Colloids, Laura Galeano Tirado Aug 2026

Engineering Materials Function With Reconfigurable Colloids, Laura Galeano Tirado

Theses

The function of a material is defined not only by its chemical composition, but also by the structural organization of its constituents across multiple length scales, from the architecture of individual building blocks to their collective arrangement. Developing strategies to access, engineer, and reconfigure that structure on demand represents a central opportunity in the design of adaptive materials. Here, we present a thermoresponsive polymer-colloid platform that enables high-precision tuning of colloidal structures using only thermal stimuli. Rather than adsorbing to the surface, our polymers diffuse inside organosilica colloids to reshape them from within, allowing continuous modulation of their size, shape, …


Semiconductor Laser Calibration Through Photonic Chip With Microcontroller Driven Wavelength Inference, Clayton Acheson Aug 2026

Semiconductor Laser Calibration Through Photonic Chip With Microcontroller Driven Wavelength Inference, Clayton Acheson

Theses

Integrated Silicon Photonics leverages light-speed operation with lower power and higher data rates than electronic counterparts. To achieve this, light is sent through a silicon circuit, where it is manipulated to perform various operations. Primarily, the light for these circuits comes from laser sources. Semiconductor lasers are typically used for their small form factor and ability to be heterogeneously integrated into larger, more complex systems. Because the optical phase and wavelength of light respond to minute changes in local refractive index, light is increasingly used for high-sensitivity sensing in integrated photonic circuit applications. As such, schemes that integrate the laser …


A Best-Practice And Risk-Assessment Framework For Auditable Ai Integration In Uae Government Socs, Nasser Hassan Nasser Abdulrazaq Alrazooqi Aug 2026

A Best-Practice And Risk-Assessment Framework For Auditable Ai Integration In Uae Government Socs, Nasser Hassan Nasser Abdulrazaq Alrazooqi

Theses

The growing use of artificial intelligence and generative AI in security operations centres  have the ability to improve alert triage, investigation, threat-intelligence enrichment,  and incident response. It also introduces governance risks including explainability, data  leakage, prompt injection, model lifecycle management, human oversight, and the  traceability of AI-assisted decisions. This study has developed a best-practice and risk assessment framework for the auditable integration of AI in UAE’s governmental SOCs.  The research follows a qualitative and practitioner-informed documentary analysis.  Publicly available UAE cybersecurity policies, internationally recognised NIST and  ISO/IEC standards, academic literature, industry guidance and compliance  publications were reviewed. Moreover, they were …


Multimodal Brain-Computer Interface For Real-Scene Object Selection And Shared Robotic Arm Control, Mohammad Keshtkar Aug 2026

Multimodal Brain-Computer Interface For Real-Scene Object Selection And Shared Robotic Arm Control, Mohammad Keshtkar

Theses

Due to the limited bandwidth and reliability of non-invasive electroencephalography (EEG)-based brain–computer interface (BCI) systems, it is difficult to control a six-degree-of-freedom (6-DoF) robotic arm using such a system. This thesis proposes a multimodal BCI system for controlling a robotic arm that divides control into three stages: initiating the task through right-hand motor imagery (MI), selecting an object of interest from a real scene using steady-state visual evoked potentials (SSVEPs) and webcam-based eye tracking, and autonomously performing the pick-and-drop task using a WidowX 250 robotic arm. Two separate offline experiments, each involving ten participants, were performed to test the SSVEP …


Enhancing Net-Zero Strategies At Rit Dubai Campus Through Life Cycle Assessment, Razan Ali Aug 2026

Enhancing Net-Zero Strategies At Rit Dubai Campus Through Life Cycle Assessment, Razan Ali

Theses

Net-zero commitments are pushing higher education institutions to measure their environmental impact more rigorously. RIT Dubai has aligned its sustainability targets with the UAE Net Zero 2050 initiative, and earlier greenhouse gas reporting identified commuting and electricity as the campus’s dominant emission sources, with transportation modelled only from city-level estimates. This thesis develops an individual-level, use-phase Life Cycle Assessment of transportation at RIT Dubai across the entire campus community of 2,795 members in seven segments: local and international students, faculty and staff, and the contracted service staff who travel to campus daily. A transportation Life Cycle Inventory was built from …


Ikaros: See Through Time, Aisha F. A. Alnouri Aug 2026

Ikaros: See Through Time, Aisha F. A. Alnouri

Theses

Conventional heritage interpretation often relies on static signage, creating an "information void" where physical ruins sit uncontextualized. This thesis addresses this issue by proposing an interactive spatial information system designed to dynamically display, and contextualize architectural heritage in real time. Designed as a global framework, Failaka Island in Kuwait serves as the primary case study, driven by a personal cultural connection and the need to bridge the island's post-war generational disconnect. Positioned at the intersection of information design, interactive media, and spatial visualization, the system, Ikaros, utilizes Hellenistic Temple B, a 3rd-century BCE sanctuary, as its core testbed. The touchscreen …


Effects Of Disorder On The Magnetic And Electronic Structure Of Kagome Alloy Fe2mnsn., Thayne Dean Aug 2026

Effects Of Disorder On The Magnetic And Electronic Structure Of Kagome Alloy Fe2mnsn., Thayne Dean

Theses

Iron-based magnets with the Kagome lattice are a rich set of materials due to their non-trivial topology combined with high magnetic ordering temperature (Tc). Previously, we identified and synthesized Fe2MnSn as a promising material with high magnetic anisotropy characterized by a high Tc. The desirable magnetic properties of ternary alloys are controlled by atomic-level antisite disorder and are sensitive to stoichiometry as well. To illustrate the role of disorder in Fe2MnSn, we performed DFT calculations using 64-atom supercells, which enabled us to probe changes in the density of states and magnetic moments by design. Our data show that substitution of …


Impacts Of Prescribed Burning And Midstory Thinning On The Abundance Of Eastern Whip-Poor-Will And Chuck-Will’S-Widow In Southern Illinois, Lauren Benedict Aug 2026

Impacts Of Prescribed Burning And Midstory Thinning On The Abundance Of Eastern Whip-Poor-Will And Chuck-Will’S-Widow In Southern Illinois, Lauren Benedict

Theses

The Chuck-will’s-widow (Antrostomus carolinensis) and Eastern Whip-poor-will (Antrostomus vociferus) are nightjar species that inhabit southern Illinois during the breeding season. Both species are thought to benefit from open woodlands which are often a result of natural disturbance or active forest management. However, due to a lack of significant disturbances and active management, this forest structure has become rare. Like many disturbance-dependent species, the Chuck-will’s-widow and Eastern Whip-poor-will have experienced range-wide declines over the past 50 years. Despite this, few studies have examined the impacts of forest management and the resulting forest structure on these species. We evaluated the impacts of …


Combining Citizen Science And Machine Learning: The Blueprint For An Emission Line Detection Algorithm, Alex Kiely Aug 2026

Combining Citizen Science And Machine Learning: The Blueprint For An Emission Line Detection Algorithm, Alex Kiely

Theses

Extragalactic spectroscopy provides us with information about the properties of galaxies and the fundamental nature of the universe. By analyzing galaxy spectra, we gain insight into a galaxy’s evolution through measures of its star formation rate (SFR), metallicity (Z), ionization parameter (U), gas pressure, dust extinction, electron density, and redshift (z). Redshift, in particular, can provide us with information about a galaxy’s velocity and distance, the formation of baryonic matter, dark matter halos, and the variation of galaxy properties with redshift. The analysis of these spectra is often an incredibly demanding, time-intensive, and potentially inaccurate process, further complicated by the …


Building A Multiwavelength Catalog Of Active Galactic Nuclei For The Cosmos Field, Thresa Kelly Aug 2026

Building A Multiwavelength Catalog Of Active Galactic Nuclei For The Cosmos Field, Thresa Kelly

Theses

Active galactic nuclei (AGNs) are capable of producing highly luminous emission across the entirety of the electromagnetic spectrum. Each waveband has characteristic features that can be used to separate AGNs from typical, inactive galaxies. However, each AGN has a unique combination of physical characteristics--such as the black hole mass, accretion rate, obscuring column density, orientation angle, and/or presence of relativistic jets--that create a unique spectral shape. Thus, a single AGN identification technique using a single wavelength will fail to find all types of AGNs. The resulting sample will bias the results of larger statistical studies. Therefore, it is critical to …