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The Development And Implementation Of A Computational Framework To Simulate Patellofemoral Joint Mechanics, Mahmood Rashedi

Master’s Theses

Anterior knee pain affects approximately 25% of adults and is associated with altered joint mechanics. Patellofemoral joint (PFJ) models vary widely in complexity, with no established gold standard. Musculoskeletal models efficiently estimate joint loading but do not capture tissue-level mechanics, whereas finite element (FE) models provide tissue-level predictions at greater computational cost. This thesis developed a workflow to evaluate relationships between musculoskeletal model-predicted PFJ loads and FE-predicted cartilage mechanics, examined the impact of altered quadriceps activation, and introduced improved computational models.

Marker trajectories and ground reaction forces were collected from four adults (2 male, 2 female) during walking and squatting. …

Powered By People: Staffing And Capacity In Library Publishing Programs, Michelle Brailey, Melissa Chim, Lauren Collister, Heather Hankins, Alyssa Huffman, Bailey Lake, Barbara Loomis, Miranda Phair, Anita Walz

LPC Publications

This report is comprised of the results of the LPC’s Staffing Survey where respondents answered questions related to staffing and capacity within their library publishing programs.

Investigating Racial And Ethnic Disparities In Cardiometabolic Outcomes Among Women With Polycystic Ovarian Syndrome: An Umbrella Review, Gianna C. Santoni

Honors Undergraduate Theses

Polycystic ovarian syndrome (PCOS) is one of the most common endocrinological disorders affecting women of reproductive age. Due to the possibility of a genetic component affecting women with PCOS, evidence supports varying health outcomes among racial and ethnic groups. This literature aims to answer the question: Does the prevalence of cardiometabolic outcomes differ among women with polycystic ovarian syndrome across racial/ethnic groups? This umbrella review was conducted in accordance with JBI Manual for Evidence Synthesis and PRIOR reporting guidelines and was registered on PROSPERO (CRD420261303872) before completion. PubMed, MEDLINE via EBSCOhost, and Web of Science via EBSCOhost were searched from …

Proactive Safety Reasoning In Human-Robot Collaboration In Disassembly Through Llm-Augmented Stpa And Fmea, Morteza Jalali Alenjareghi, Fardin Ghorbani, Samira Keivanpour, Yuvin Adnarain Chinniah, Sabrina Jocelyn

Études primaires

Disassembly tasks in human–robot collaboration (HRC) environments present safety challenges due to hazardous materials, control system variability, and physically demanding operator tasks. To address these challenges, we propose an AI-augmented risk assessment framework integrating System-Theoretic Process Analysis (STPA) and Failure Mode and Effects Analysis (FMEA). This framework is implemented in four configurations: Term Frequency– Inverse Document Frequency (TF-IDF), Fine-tuned Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and RAG with a structured Knowledge Graph (KG) built from safety standards. The system supports real-time, standards-compliant safety reasoning by generating interpretable, context-specific recommendations. We evaluate these configurations across GPT-3.5 TURBO, GPT-4o, GPT-4.1, and …

Early Drowsiness Detection Via Second-Order Derivative Analysis Of Heart Rate Variability: A Non-Contact Ecg Approach With Machine Learning, Fabrice Vaussenat, Abhiroop Bhattacharya, Julie Payette, Alireza Saidi, Victor Bellemin, Geordi-Gabriel Renaud-Dumoulin, Sylvain G. Cloutier, Ghislain Gagnon

Études primaires

Drowsy driving contributes to roughly 20% of traffic fatalities, yet most detection systems rely on behavioral cues that appear only after impairment has set in. Here we ask whether first and second derivatives of heart rate variability (HRV) can detect pre-crash states earlier than conventional approaches. Twenty-five participants completed 49 driving simulator sessions while we recorded cardiac activity through capacitive ECG electrodes embedded in the seat backrest—a non-contact method that avoids the privacy concerns of camera-based monitoring. To prevent circular evaluation, ground truth labels were based solely on crash proximity rather than HRV-derived scores. The combined HRV feature set (conventional …

On The Use Of Hearing Aid Algorithms In Industrial Noise: Balancing Speech Intelligibility And Hearing Protection, Solenn Ollivier, Fabien Bonnet, Alexis Pinsonnault-Skvarenina, Christian Giguère, Jérémie Voix, Hugues Nélisse

Études primaires

Hearing protection devices (HPDs) are widely used to mitigate the risks of noise-induced hearing loss in industrial environments. However, conventional HPDs can often hinder communication for workers with hearing loss. While those workers may rely on hearing aids in their daily lives, the potential benefits and associated risks of using such devices in noisy workplaces remain unexplored. This study evaluated the effects of different hearing aid signal processing algorithms on speech intelligibility and estimated noise exposure under industrial noise conditions to characterize the balance between communication and protection needed to develop solutions for workers with hearing loss. A digital hearing …

Tracking Vigilance While Driving: Pilot Study Of Heart Rate Variability Classification Under A Controlled Sleep-Deprivation Protocol, James Elber Duverger, Eli Moser, Philippe Boudreau, Marie Claude Ouimet, Diane B. Boivin, Alireza Saidi

Études primaires

Decreased vigilance associated with drowsiness is a major cause of motor vehicle crashes, but its physiological characterization and detection remain difficult due to behavioral and environmental confounding factors. This study presents an original experimental framework combining a highly controlled sleep-deprivation protocol, repeated driving simulations, and a machine-learning-based heart rate variability (HRV) analysis to study the physiological and behavioral changes in vigilance during a prolonged period of wakefulness while driving. Twelve healthy young adults participated in a 30-h sleep-deprivation constant routine protocol that included driving simulations every two hours, with data collection: electrocardiography (ECG), subjective ratings of drowsiness, psychomotor vigilance test, …

Rac1 Gtpase Regulates The Scfβtrcp-Mediated Degradation Of Claspin And The Cellular Response Of Pancreatic Cancer Cells To Gamma Rays, Neha Chaudhary, Tabbatha N. Somers, Surinder K. Batra, Ying Yan, Michel M. Ouellette

Journal Articles: Biochemistry & Molecular Biology

BACKGROUND/OBJECTIVES: Pancreatic ductal adenocarcinomas (PDACs) are lethal tumors exhibiting resistance to most cancer therapeutics, particularly DNA-damaging agents. The

METHODS: Western blot analyses were used to assess the impacts of Rac1 inhibition on the components of the ATR/Chk1 cascade.

RESULTS: Here, we show that Rac1 inhibition disrupts ATR/Chk1 signaling by promoting degradation of Claspin, a key component of the fork protection complex needed for the Ser345-phosphorylation of Chk1 by ATR. In PDACs and normal pancreatic ductal cells, Rac1 inhibition (via inhibitors or siRNA) decreased Claspin protein levels without affecting its mRNA, reflecting a >3-fold reduction in Claspin's half-life. Claspin contains a …

Increasing Hpv Vaccination Among Early Adolescents Using A Game-Based Digital Intervention: A Randomized Controlled Trial, Angela Chia-Chen Chen, Lihong Ou, Elizabeth Reifsnider, Kimberly Arcoleo, Ashish Amresh, Michael Todd

Ellmer School of Nursing Faculty Publications

Background/Objectives: Human papillomavirus (HPV) vaccination coverage among adolescents remains below public health targets despite strong evidence of vaccine effectiveness in preventing HPV-related cancers. Digital interventions (e.g., serious games) may improve HPV vaccine uptake, but evidence for effects on vaccination behavior remains limited. Methods: This secondary analysis of a randomized controlled trial evaluated a co-designed, game-based digital intervention to increase HPV vaccine initiation among unvaccinated youth aged 11-14 years and their parents. The sample included 64 parent-adolescent dyads (33 intervention and 31 usual care dyads). The primary outcome was HPV vaccine initiation at 2-month follow-up. Results: A significantly greater proportion of …

Pancreatic Cancer Detection Consortium Biomarker Bakeoff: A Phase Ii Blinded Biomarker Validation And Panel Discovery Study, Ann L. Oberg, William R. Bamlet, Grant Izmirlian, Seetharaman Balasenthil, Surinder K. Batra, Masataka Hayashi, Daniel S. Herman, Michael A. Hollingsworth, Maneesh Jain, Ann M. Killary, Brianna M. Krusen, Suyu Liu, Shounak Majumder, Gopalakrishnan Natarajan, Subrata Sen, Lynette M. Smith, Sudhir Srivastava, Brian M. Wolpin, Kenneth S. Zaret, Michael G. Goggins

Journal Articles: Biochemistry & Molecular Biology

PURPOSE: The Pancreatic Cancer Detection Consortium (PCDC) performed a blinded Early Detection Research Network-defined phase II biomarker bakeoff study of blood-based biomarker panels. The aims were to evaluate panel performance, to compare the panels' performance with that of cancer antigen 19-9 (CA19-9) alone, and to evaluate the performance of new combinations of the individual biomarkers.

EXPERIMENTAL DESIGN: Ten biomarkers representing eight biomarker panels and CA19-9 were evaluated using plasma, serum, and germline DNA from 140 stage I to IV pancreatic ductal adenocarcinoma (PDAC) cases and 140 controls from three tertiary care institutions, with controls frequency matched to cases on age …

Overcoming Radiation Resistance: Ferroptosis Induction To Sensitize Solid Tumors To Radiation Therapy, Joseph Carmicheal, Caden M. Fritson, Alexandra Seas, Heidi M. Vieira, Surinder K. Batra

Journal Articles: Biochemistry & Molecular Biology

Radiation therapy (RT) is a mainstay of treatment for a myriad of cancers, often utilized for tumors that are unable to be resected, as well as an adjunct to surgery and chemotherapy. Unfortunately, many cancers are resistant to RT-induced damage and subsequent cell death. This has spurred the pursuit of novel radiation sensitizers that could potentiate the effects of this widely used and important treatment modality. Since its discovery as a regulated cell death mechanism in 2012, ferroptosis has been studied for its connection to cancer and other known oxidative pathways. With this, the interplay between RT and ferroptosis in …

Changing Student Perspectives On Alcohol, Smoking & Vaping Through The Use Of Tetrahymena, Courtney Hausner, Douglas L. Chalker, Alexandra Forgerson, Carol E. Colaninno, Alison Brockhouse, Rachel Ruggirello

Institute for School Partnership: Research & Publications

We describe the redesign and classroom testing of an Advancing Secondary Science Education through Tetrahymena (ASSET) module addressing adolescent alcohol, smoking, and vaping. Using the 5E instructional model, the module has students investigate how alcohol, cigarette smoke extract, and vape extract affect the ciliated protozoan Tetrahymena, an accessible proxy for effects on ciliated human respiratory cells. Students analyze public health data, conduct guided and self-designed investigations, and create outreach posters communicating evidence-based risks to peers. We report on observations from two classroom implementations, describing gains in students' ability to articulate toxicology concepts, connect cellular findings to whole-body health, and express …

Clinical Data Integration: Impact On Quality Outcomes, Sora Park Choi

Yale School of Nursing Digital Theses

Clinical Data Integration: Impact on Quality Outcomes

Hospital readmissions continue to contribute substantially to poor patient outcomes and rising healthcare expenditures in the United States, with nearly 20% of Medicare beneficiaries readmitted within 30 days. Fragmented health information systems also impede care coordination and restrict providers’ capacity to deliver timely, high-quality care. This Doctor of Nursing Practice (DNP) project developed, implemented, and evaluated a provider dashboard that integrates real-time clinical and operational data to support primary care providers within a large multistate independent provider association.Guided by the Lean Six Sigma DMAIC framework, this quality improvement project was conducted with 10 …

Unmasking Impression Management: Large Language Models For Detecting Socially Desirable Responding In Open-Ended Situational Judgment Tests, Barret Vermilion

Graduate Studies Theses and Dissertations 2026

Socially desirable responding (SDR) — the tendency to present oneself in an overly favorable light — remains a persistent validity concern in industrial-organizational psychology. Contemporary theory frames SDR as multidimensional, distinguishing agentic impression management (AM; inflating competence, dominance, and achievement) from communal impression management (CM; inflating warmth, cooperation, and prosocial qualities). Existing measures of AM and CM rely on self-report, which captures these constructs only at the level of generalized trait-like tendencies rather than as they naturally unfold in applicants' own language. This dissertation proposes a text-based alternative: detecting AM and CM in open-ended situational judgment tests (SJTs) of Big …

Multibody Acausal Framework For Structural Dynamics Of Offshore Support Structures With Hydroelasticity And Soil-Structure Interaction, Saad Rahman

Graduate Studies Theses and Dissertations 2026

Offshore energy systems present significant challenges in support structure design due to their scale and the strong coupling between aerodynamic, hydrodynamic, and structural subsystems. These interactions make traditional sequential modeling approaches inefficient for design exploration. Acausal modeling frameworks address this limitation by enabling direct integration of coupled subsystems without reformulating governing equations, improving computational efficiency while preserving physical fidelity. This supports rapid exploration of large design spaces, accelerates iteration cycles, and shortens the path from concept to deployment.

This thesis develops and validates an acausal multibody elastodynamics model for offshore support structures. The framework includes structural flexibility to capture member-level …

The Effects Of Episodic Facilitation And Immersion On Memory Formation During Learning Of An Exterior Preflight Inspection Procedure, Nathan A. Sonnenfeld

Graduate Studies Theses and Dissertations 2026

This research examined the use of episodic facilitation—instructional elements aligned with episodic memory (EM) processes—to affect learners’ memory of simulation training for an aviation procedure. Despite its assumed benefits in industry and theory, virtual reality (VR) has shown limited advantages over conventional media for training procedures, in part because prevailing frameworks emphasize semantic and procedural outcomes, leaving memory of training experiences as events underexamined. To address this gap, this work advances human factors research by examining EM as a design consideration, an outcome, and an explanatory mechanism for how simulation training experiences are remembered. Grounded in theories of EM and …

Minimizing Performance Overheads For Crash-Consistency In Disaggregated Persistent Memory, Khan Shaikhul Hadi

Graduate Studies Theses and Dissertations 2026

Compute express link (CXL) enables persistent memory disaggregation with memory pooling and hardware managed multi-host memory sharing capability, resulting in better resource utilization, increased scalability. Persistency-aware applications need to manage crash consistency across the system which results in significant performance overhead. This dissertation systematically investigates performance overhead to achieve crash consistency in disaggregated persistent memory and proposes solutions to enable persistency-aware application scaling for distributed system. First, we study persistent parallel programming to scale computation capability beyond single processor and determine the underlying hardware limitation to adopt lock-free data structure. We propose hardware support to design durable atomic instruction (DAI) …

Learning Weibull Loss Severity Models From Truncated And Censored Data, Majed Alkhasha

Graduate Studies Theses and Dissertations 2026

In modern actuarial science and risk management, due to various loss control mechanisms, observed severity losses are typically left-truncated at the deductible, right-censored at the policy limit, and scaled by a pre-specified co-insurance factor. This results in two types of actuarial payment random variables: payment-per-payment (PPP) and payment-per-loss (PPL). To learn ground-up Weibull loss severity models from PPP and PPL sample data, we implement two estimation techniques: Maximum Likelihood Estimation (MLE) and the dynamic Method of Trimmed Moments (MTM). MLE is employed to obtain efficient estimates of the Weibull shape and scale parameters. However, MLE may assign unnecessarily large point …

Nebraska Test 2305: Claas Arion 660, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Test 2308: John Deere 9r 540 Single Turbo (Chassis Serial Numbers 1rw9540xxsx090001 And Higher), Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

35 Individuals With Huwe1-Related Neurodevelopmental Disorder And Suggested Clinical Evaluations, Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillman, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano

Department of Pediatrics Faculty Publications

HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X-linked intellectual disability, including in the patients identified by Juberg, Marsidi, and Brooks. This report describes 35 additional cases of individuals with variants in HUWE1 and suggested guidelines for clinical management. Our study includes several female cases, which have not been widely reported previously. Our findings confirm earlier reported clinical features including developmental delay, autism, hypotonia, short stature, and dysmorphic facial features as well …

Gender Differences In The Association Between Adverse Childhood Experiences And Drug Use: Findings From A Community-Based Survey In China, Hongyun Fu, Elizabeth Monk-Turner, Xiushi Yang

Department of Pediatrics Faculty Publications

Background

While adverse childhood experiences (ACEs) are widely recognized risk factors for behavioral health problems, including drug use, prior research has largely been conducted in Western countries, focused primarily on males, and relied on convenience samples without comparison groups of nonusers. Limited work has examined the impact of ACEs on drug use in non-Western contexts. This study examines gender differences in the relationship between ACEs and drug use in China, using data from a population-based probability sample survey.

Methods:

Cross-sectional data were collected in 2019 from one city in Yunnan Province in Southwest China and one city in Guangdong Province …

Empowering Caregivers, Protecting Patients: An Ambulatory Central Line Quality Improvement Initiative For Education And Follow-Up, Elizabeth Martinez, Belinda Bordeaux, Stephanie Langevin, Cristina Herrera, Mary Smith, Merissa Doyle, Barbara Stein, Kimberly Poshar, Marissa Dunlap, Allison Silva, Eric Werner

Department of Pediatrics Faculty Publications

Introduction: Preventing ambulatory central line-associated bloodstream infections (A-CLABSIs) is challenging due to inconsistent education, follow-up, and home care practices. Pediatric intestinal failure (IF) patients are particularly vulnerable. This institution aimed to decrease its IF A-CLABSI rate by 25% within 2 years through a standardized, step-by-step central line care education program.

Methods: Using the Toyota problem-solving method, the team reviewed data and performed a root cause analysis of the prioritized problem, implementing a 2-phase education program. Phase 1 delivered in-hospital education using videos, handouts, and hands-on teaching with skill demonstration. The existing pediatric central line skills class was expanded and offered …

Accuracy Of Voluntary Force Modulation During The Isometric Mid-Thigh Pull, S. Alexander Long, Olivia Vadas, Stephanie Balint, Michael H. Stone, Christopher Taber

Exercise Science Faculty Publications

The purpose of this study was to investigate voluntary force modulation accuracy during the isometric mid-thigh pull (IMTP) and to investigate biological sex and relative strength as factors relating to error. Strength-trained males (n = 18) and females (n = 18) completed ascending (ASC) (25%, 50%, 75%) or descending (DESC) (75%, 50%, 25%) submaximal testing followed by maximal testing. Subjects rested before completing the opposite submaximal testing sequence. External feedback was not provided during testing. Measured and intended (INT) forces were analyzed with two-way repeated-measures ANOVAs with within- (ASC, DESC, and INT) and between-subject factors (male or female). Independent-samples t-tests …

A Dual-Domain Face Forgery And Deepfake Detection Framework, Neha Pradyumna Bora, Pradyumna Mulchand Bora, Rushikesh Sanjay Kumavat, Raunak Manoj Gangwal, Prit Sandesh Jain, Hardik Vijay Ostwal

Mansoura Engineering Journal

Concerns about media authenticity, privacy, and information security arising from rapid advances in deepfake technology have made it increasingly important to detect manipulated facial content reliably. The primary goal of our work was to develop a deepfake detection model with high generalization across multiple datasets. To achieve this, we developed a hybrid detection approach that combines spatial visual texture analysis and frequency-domain analysis to detect manipulated facial images. Our approach includes convolutional spatial feature extraction from facial images and frequency—domain representations of the same images obtained by applying the fast Fourier transform. To help alleviate concerns about overreliance on frequency—domain …

Reliability-Oriented Spatiotemporal Machine Learning For High-Impact Power Outage Event Prediction, Marwa Gamal

Mansoura Engineering Journal

Power outages have become an increasing concern for modern power systems due to their impact on infrastructure reliability, economic activities, and public safety. The growing frequency of extreme weather events and the rising demand for electricity have made it more difficult to anticipate high-impact outage events. One of the main challenges in this context is the complex interaction between temporal patterns and geographic variations, which traditional methods often fail to capture effectively. This study develops a machine learning framework that combines temporal characteristics with geographic information to improve the prediction of high-impact power outages. Temporal features such as seasonal patterns, …

The Multiwalled Carbon Nanotube-Incorporated Cfrp Laminates Interlaminar Fracture Toughness, Nikhil Janardan Rathod, Markala Karthik, Harshvardhan P. Ghongade, Javed Sikandar Shaikh, Rahul Soma Deshmukh

Mansoura Engineering Journal

The structural integrity of carbon fibre reinforced polymers (CFRPs) suffers from damage caused by interlaminar cracking and delamination which diminishes their performance capabilities. This study provides an experimental analysis of the impact of carboxyl-functionalized multi-walled carbon nanotubes (MWCNTs) on the Mode I interlaminar fracture toughness of CFRP laminates. The researchers created composite specimens by using epoxy systems which included MWCNT loadings of 0.1 wt% 0.2 wt% and 0.3 wt% together with an unmodified control. The researchers conducted Double Cantilever Beam (DCB) testing according to ASTM standards to ascertain the rate of critical strain energy release (G_IC) of the material. The …

Frequent Pattern Mining With Optimized Gated Recurrent Units For Automated Waste Classification Systems In Smart Cities, Anupriya Garg, Ratish Kumar

Mansoura Engineering Journal

Efficient waste segregation into biodegradable and non-biodegradable categories is a crucial requirement for sustainable smart city development. While Convolutional Neural Network (CNN)-based approaches have demonstrated promising performance, their high architectural complexity and limited adaptability often restrict real-time deployment. This paper proposes BnBCNet, a lightweight waste classification framework that reformulates image-based waste segregation as a sequential learning problem using Gated Recurrent Units (GRUs). To further enhance classification performance, Grey Wolf Optimization (GWO) is employed for hyperparameter optimization, while Adam optimizer is used for network weight updates. Experiments conducted on a publicly available waste segregation image dataset demonstrate that the proposed BnBCNet …

Reducing No-Show Rates In A Rural Family Medicine Clinic Through Personal Phone Call Reminders, Joyce Bumgardner

Doctor of Nursing Practice Projects

Background: Missed patient appointments cost the healthcare industry billions annually, reducing provider accessibility and practice revenue. At a rural family medicine office in western Lincoln County, North Carolina, new patient no-show rates exceeded 10%, surpassing the healthcare system’s goal of 5% or less. Automated appointment reminders via text, phone, and email were already in place, but did not adequately address the problem. New patient appointments occupy a 40-minute time slot, twice that of established patients, increasing the impact of each missed appointment.

Purpose: The purpose of this quality improvement project was to determine whether personal phone call reminders made with …

High-Efficiency And Compact Virtual Reality Displays, Zhenyi Luo

Graduate Studies Theses and Dissertations 2026

Virtual reality (VR) and augmented reality (AR) technologies are revolutionizing the way humans interact with digital information. However, current near-eye display systems still face critical challenges regarding optical efficiency, image quality, and device weight. This dissertation focuses on addressing these limitations through innovative liquid-crystal (LC) optics and system-level design strategies to achieve high-efficiency and compact VR displays.

First, to solve the longstanding problem of severe chromatic aberrations in ultrathin LC optics, I proposed an achromatic diffractive LC device. By stacking three LC layers with specifically designed spectral responses and polarization selectivity, I successfully reduced the chromatic aberrations. This idea enables …