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Impact Of Postoperative Intraocular Pressure Spikes On Outcomes Following Goniotomy: A Comparative Study Of Surgical Techniques, Wesam S. Shalaby, Steven L. Chang, Julia Yu, Teresa Horan, Sagar Shah, Shahin Hallaj, Marlene Moster, Reza Razeghinejad, Daniel Lee, Michael Pro, Aakriti Shukla, Ping Huang, Jonathan S. Myers, Tina Xia, Dilru Amarasekera

Wills Eye Hospital Papers

AIM AND BACKGROUND:To compare postoperative intraocular pressure (IOP) spikes and 1-year surgical success among goniotomy procedures: Kahook Dual Blade (KDB), OMNI, bent ab interno needle goniotomy (BANG), and gonioscopy-assisted transluminal trabeculotomy (GATT).

MATERIALS AND METHODS: This single-center, retrospective chart review included glaucoma patients ≥18 years, who underwent goniotomy from January 2021 to December 2022 with ≥3 months of follow-up. Primary outcomes were IOP spikes (≥10 mm Hg increase within 3 months) and 12-month surgical success (≥20% IOP and/or ≥1 medication reduction without further surgery). Secondary outcomes included IOP and medication changes.

RESULTS: Among 247 eyes (107 KDB, 63 OMNI, 77 …

Early Depression Screening In Adults With Opioid Use Disorder, Ekaterina Versace

Walden Dissertations and Doctoral Studies

Abstract This Doctor of Nursing Practice project involved the development and quality appraisal of a clinical practice guideline (CPG) for early depression screening in adults with opioid use disorder (OUD), addressing the absence of standardized, evidence-based screening protocols in addiction treatment settings. Guided by the practice-focused question of whether existing evidence supports the development and evaluation of such a guideline using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument, a systematic synthesis of 35 research articles was conducted, with 15 high-level studies informing guideline development. A multidisciplinary panel of four experts evaluated the CPG using the …

Multicriteria Prioritization Of Geospatial Data Sources Using The Neutrosophic Hierarchical Analytic Process In Spatial Ontologies, Manuel Enrique Puebla Martínez

Neutrosophic Sets and Systems

The need for an automatic fusion of heterogeneous, generally untrustworthy geospatial sources into spatial ontologies necessitates prioritization when conflicts arise or lower qualities emerge. Unfortunately, most existing literature does not offer systematic, evaluative, analytical criteria for determining the trustworthiness and polyhedral quality of such sources, which, in turn, causes quality deficiencies in spatial relations of the final product. Here we offer a methodology based on the Neutrosophic Hierarchical Analytic Process to derive the aforementioned prioritization including considerations such as geometric accuracy, existence and accessibility of metadata, frequency of updates, and topological correctness. A calibrated, reliability-testing approach was applied to two …

Artificial Intelligence In Cuban Audiovisual Production: An Approach To Technological Sovereignty Evaluated Through Neutrosophic Pest-Foda Analysis, Natalia Del Carmen Díaz Riverón

Neutrosophic Sets and Systems

This article aims to respond to the need to generate a public policy for the regulation of artificial intelligence (AI) use in Cuban audiovisuals from technological sovereignty through a neutrosophic PEST-SWOT analysis. After a theoretical-contextual study composed of the history of AI, its scientific and technological bases and the ethical and regulatory issues of use, international experiences and studies and the current state of affairs in Cuba (comprised of technology based barriers, training impediments and absence of a specific regulatory approach), the research takes place through triangulation via a mixed-methodology where theoretical and empirical approaches are integrated with neutrosophic PEST-SWOT …

A Visual Aid-Based Model For Constructing The Concept Of Probability For Students Aged 9 To 11, Validated Using Neutrosophic Plithogenic Statistics, Nela Del Rocío Sánchez López, Diana Carolina Pérez Duarte, Luis Fernando Pérez Duarte

Neutrosophic Sets and Systems

This article discusses a research endeavor whose intent was to further develop statistical reasoning by formulating probability notions for 9-11-year-old learners. The probability endeavor is formulated through a union of narrative, problem-solving and visual approaches. Action research allowed for formulation and implementation within a school setting, satisfactorily proving success in developing learners' abilities to think logically and critically. Results indicate a statistically significant probability of appropriating the notion of probability based on neutrosophic plithogenic statistics which assessed the degree of truth, indeterminacy, and falsity of student answers which ultimately promote rational decisions in uncertain situations. It's recommended that the union …

Neutrosophic Statistical Analysis Of Temperature And Precipitation Variability Over Four Decades In The City Of Pucallpa, Peru, Noé Klever Guadalupe-Baylón, Edgar Juan Diaz-Zúñiga, Moisés Amancio Cueva-Muñoz, Nadia Masaya Panduro-Tenazoa, Noé Ramírez-Flores, Franz Orlando Tang-Jara, Carlos Ricardo Guerra-Pinedo

Neutrosophic Sets and Systems

This study analyses the spatiotemporal variation of temperature and rainfall in Pucallpa (1984-2024) and its relationship with El Niño and La Niña phenomena and urban expansion. Monthly meteorological data from the UNU-SENAMHI station, weather, ENSO indices, and Landsat imagery were used to calculate the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation cover. Missing data were processed through interpolation, and linear regression analysis, the Mann-Kendall test, and Spearman correlation adapted to interval-valued data were applied to evaluate trends and statistical associations. Our findings highlight the combined influence of global climatic factors and local transformations on the microclimate of …

Classification Of Cases Of Animal Abuse In Ecuador Using Indetermsoft And C4.5 Algorithms, Viviana Del Rocío Marfetan Marfetan, Lesly Gissela Tipanguano Chicaiza, Styven Andrés Pila Chicaiza, Estephany Monserrath Ojeda Sanchez

Neutrosophic Sets and Systems

This dissertation aimed to determine the classification of animal abuse within Ecuador by severity, context, and solution through the application of IndetermSoft and the statistical-neutrosophic C4.5 algorithm to classify the uncertainty associated with judicial and administrative efforts for animal protection for domestic dogs and cats. The approach was qualitative and documentary, analyzing judicial sentences, citizen complaints, and municipal ordinances within the three largest Ecuadorian cities of Quito, Guayaquil, and Cuenca to acquire the determination of classifications of animal abuse, subsequent sanctions, and follow-ups. A modeling of IndetermSoft ensembles assessed the indeterminacy of subsequent actions, and inputted into IndetermSoft and the …

A Neutrosophic Random Forest Approach For Preeclamptic Risk Prediction With Uncertainty Quantification, Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Lorenzo Cevallos-Torres, Leonel Vasquez-Cevallos, Dayron Rumbaut-Rangel

Neutrosophic Sets and Systems

This study presents a novel integration of Random Forest with neutrosophic logic to improve preeclampsia risk prediction while quantifying prediction uncertainty. Using clinical data from 352 patients, the model achieved 72.73% accuracy with high sensitivity (0.898) in identifying control cases, though with lower specificity (0.235) for preeclampsia detection. Key predictors identified were birthweight and hypertension his- tory, aligning with clinical knowledge. The neutrosophic framework successfully categorized predictions into truth (T), indeterminacy (I), and falsity (F) components, revealing that 90% confidence predictions showed T = 0.9 while uncertain cases (0.5 ≤ p < 0.9) demonstrated elevated indeterminacy (I = 0.3). The main contributions include: 1) an interpretable uncertainty quantification method for clinical predictions, 2) validation of key risk factors through feature importance analysis, and 3) a practical framework for identifying cases requiring additional clinical evaluation. This approach demonstrates significant potential for enhancing decision-making in maternal healthcare.

Triadic Dynamics Of Clinical Decisions In Apical Surgery Based On Neutrosophic N-Alectic, Emma Arroyo Lalama, Edison Haro Pujos

Neutrosophic Sets and Systems

This study explored the creation of a clinical decision-making model in apical surgery via Neutrosophic N-Alectic, blending affirmative (operate), negative (observe), and neutral (retry conventional endodontics) based on equivocal findings to offer potential solutions to the presentation of periapical lesions. The methodology consisted of dialectic considerations of previous surgeries retrospectively, meaning attributable elements such as lesion severity and response to previous treatment were assessed via a neutrosophic approach to assess the degree of truth, degree of falsity and degree of indeterminacy across all treatment options. The main findings are the neutrosophic model assists in determining the best decisions based on …

A Neutrosophic–Fsqca Framework For Strategic School Management: Superset And Coincidence Analyses Of Student Social Competence, Claudio Ruff Escobar, Jorge Ruff Faundes, Marcelo Ruiz, Cristián Cornejo, Aleksandra Michenkova, Luis Benites, Juliana Vassileva, Alexis Matheu Pérez

Neutrosophic Sets and Systems

This study proposes a neutrosophic–fsQCA framework to analyze strategic school management under conditions of uncertainty. Using data from 20 educators at the Colegio Bicentenario Louis Pasteur in Ecuador, neutrosophic Likert scales were applied to capture perceptions of interpersonal communication (IC), social interaction experiences (SIE), self-esteem and self-efficacy (SS), and their influence on students’ social competence (ECS). The neutrosophic triplets (T, I, F) were transformed into fuzzy sets through a fuzzification process, enabling subsequent Qualitative Comparative Analysis. Two complementary procedures were conducted: a superset analysis to assess necessary and sufficient conditions, and a coincidence analysis to explore overlap among conditions. Results …

Modeling The Rehabilitation Of Offenders In Domestic Violence Using A Hybrid Neutrosophic-Logistic Approach To Reduce Recidivism, Johanna Estefanía Calle Imbaquingo, Karen Milagros Díaz Salambay, Jordy Alexis Vargas Yumbo, Kevin Christopher Carrasco Azogue, Otto F. Von Feigenblatt

Neutrosophic Sets and Systems

This dissertation seeks to determine if criminal suspension—per Article 651.3 of National Criminal Code (COIP)—for domestic violence offenders in Ecuador actually reduces recidivism through effective rehabilitation. This study is significant for comprehension of offender mentality and subsequent ability to accept criminal punishment to reduce recidivism for prolonged victim safety and better acts of authority in a country where domestic violence is still a major social concern. While the existing literature has studied aspects of restorative justice, very few articles have explored the predicating factors of recidivism and the lack of judicial observation and databases due to a neoteric nature and …

Intercultural Education From Ancestral Logic: Application Of The Ayni Method Multi-Neutrosophic To Strengthen Mixed Methodology In The Waorani Community, Johanna Estefanía Calle Imbaquingo, Karen Milagros Díaz Salambay, Jordy Alexis Vargas Yumbo, Kevin Christopher Carrasco Azogue, Otto F. Von Feigenblatt

Neutrosophic Sets and Systems

Research aimed at determining the Ayni method Multi-Neutrosophic by which a successful blended learning experience enhances multicultural education respecting Ancestral Logic of the Waoranis to create a hybridization of Ancestral Logic and institutional and classroom learning to preserve their cultural identity. A qualitative descriptive-legal research approach was utilized. The results of the documentary analysis included requirements from Ecuador (Constitution, ILO Convention 169) and semi-structured interviews with Waorani leaders and teachers, Triangulation through participant observation of the educational activities taught in the Waorani community. The Ayni method Multi-Neutrosophic was cultural reciprocity and neutrality established through indeterminacies in the blended Ancestral teachings …

Hyperbolic Geometry And Neutrosophic Trigonometry: A Unified Approach To Uncertainty Management In Geometric Spaces, Yismandry González Vargas, Diana Padrón Carrasco

Neutrosophic Sets and Systems

This paper addresses the challenge of modeling uncertainty in hyperbolic geometry, where non-Euclidean properties, such as angle sums in triangles smaller than 180°, complicate traditional trigonometric calculations. The relevance of this topic lies in its application in fields such as cosmology, robotics, and signal processing, where curved spaces and imprecision are common. Although the literature has explored fuzzy geometry and trigonometry under uncertainty, it lacks a framework that integrates negative curvature with explicit indeterminacy. To overcome this gap, a methodology is proposed that combines hyperbolic geometry with neutrosophic trigonometry, using neutrosophic sets (T, I, F) to represent angles and calculate …

Empowering Multigrade Interdisciplinary Assessment Through Plithogenic Offsets And Artificial Intelligence For Dynamic And Personalized Education, Roger Martinez Isaac, Rudy García Cobas, Carlos Roberto Humanante Cabrera, María Andrea Soto Granda, Linda Florangely Soto Torres

Neutrosophic Sets and Systems

This contribution addresses the issue of interdisciplinary assessment in multigrade classrooms: the diverse levels and the assessment path's unclear direction fail to render efficient learning. How can assessment be refined to avoid such discrepancies and establish a better path of equalized and contextualized learning? It's a pressing question for 21st-century learning—more so in rural areas where interdisciplinary attempts can create holistic and connected learning for the learners—but the literature fails to guide systematically, apart from rendering systematic solutions that rely only on tacit, non-explicit, technical interventions. Therefore this research contributes a systematic intervention that combines a Plithogenic Offset—neutrosophic attempts to …

Exploring Irrational Number Learning Using The Plithogenic Hypothesis Method: Integrating Incommensurability, Decimal Representations, And Cognitive Conflict, Daniel Alberto Vaderrama Martinez, Gerardo Antonio Chacon Guerrero, Osvaldo Jesus Rojas Velazquez

Neutrosophic Sets and Systems

This dissertation aimed to formulate a theory regarding high school students' learning of irrational numbers with the plithogenic hypothesis method as a modeling instructional approach for incommensurability, decimal expansions, and cognitive conflict. Using a concurrent Design-Based Research (DBR) and Grounded Theory (GT) method with twelve eleventh-grade students during 2025 in Bogotá, Colombia, four didactic interventions occurred addressing incommensurability, geometric representations, approximated sequences, and interdisciplinary uses; data were analyzed through systematic coding and plithogenic matrices, with results presented through truth, uncertainty, and falsity. Conclusions revealed that incommensurability (60% consensus) serves as a conceptual anchor to justify subsequent understandings, decimal expansions (50% …

Data Mining: Predictive Model Of The Socioeconomic Impact Of Covid-19 On The Income Of Cooperative Members Validated Using Neutrosophic Topsis And The Hausdorff Distance, Alexander Palacios Zurita, Rosa Giler Zambrano, Dayron Rumbaut Rangel

Neutrosophic Sets and Systems

The COVID-19 pandemic generated a socioeconomic disruption that affected household income, making it crucial to identify modulating factors in vulnerable contexts. This study aimed to develop a predictive model using data mining to determine the socioeconomic, demographic, and well-being factors that influence the income level of 1,456 members of three cooperatives in Manabí, Ecuador, before, during, and after the lockdown. The Interindustry Standard Process for Data Mining methodology was employed. The survey data were segmented into training and test sets, with oversampling applied to the minority classes to correct for imbalances. Several supervised classification algorithms were trained and evaluated in …

Neutrosophic Psychology In Playful Spelling Learning: Understanding Cognitive And Emotional Dynamics In Spelling Competence, Giselle Rodríguez Caballero, Martha Silvia Mancebo Calzado, Elsy Rodríguez Revelo, Lissett Aide Perea Tenorio, Cecilia Denisse Anangonó Corozo

Neutrosophic Sets and Systems

The problem explored in this article is spelling ability of 3rd year students of Basic General Education and how neutrosophic psychology can enhance spelling rules through playful teaching. Spelling is an essential component of presenting one's thoughts formally and non-verbally; unfortunately, without motivation and without dynamic approaches, spelling becomes complicated. The problem is observed in problems of the contemporary educated world as (positional) writing is formalized, and the requirements of language standards always should be met, which means logic and causation should be added for future endeavors of logical thinking and orientations by the public. Thus, similar research exists regarding …

Descriptive And Diagnostic Analysis Of Customer Complaints For Different Electric Companies Of Ecuador Using Neutrosophic Logic, Marco Arguello Arguello, Franklin Parrales Bravo, Roberto Tolozano Benites, Dayron Rumbaut Rangel

Neutrosophic Sets and Systems

This article presents a descriptive analysis of complaint and claim management by ARCONEL and Electricity Distribution Companies in Ecuador for the year 2023. The dataset includes information about complaint outcomes such as 'Procedentes' (resolved), 'No Procedentes' (dismissed), 'En Proceso' (pending), and 'Invalidado' (invalid). This analysis will examine the complaint dataset using neutrosophic logic, which extends traditional binary logic by incorporating indeterminacy. We apply Neutrosophic Logic to capture not only resolved and unresolved complaints, but also uncertainty in complaint status. Key findings reveal high median resolution rates (99.98%), yet notable disparities exist: Sierra region companies outperform those in Costa, and private …

Strengthening Reading Comprehension Through Affective Communication And Artificial Intelligence With Validation By Neutrosophic Numbers, Giselle Rodríguez Caballero, Rudy García Cobas, Elsy Rodríguez Revelo, Nidia María Cumbicus Castillo, Piedad Doraliza Cordero Cueva

Neutrosophic Sets and Systems

This investigation explores whether emotional communication empowered by artificial intelligence tools is needed for pedagogical integration for reading comprehension for Third Graders at Santiago Fernández García Educational Unit. Through Teacher interviews, classroom observations and pedagogical assessments, the investigator uncovered methodological insufficiencies that not only hinder the literal aspects of reading comprehension but also interpretative and critical aspects. Teachers hold a fortuitous upper hand regarding these advancements; however, test results show non-sufficient didactic planning geared toward emotional awareness strategy developments through artificial intelligence. Suggested artificial intelligence developments in this area show to be text generators or emotional detectors; however, this is …

A Neutrosophic Random Forest Framework For Uncertainty-Aware Classification Of Nursery School Applications, Franklin Parrales-Bravo, Roberto Tolozano-Benites, Manuel Reyes-Wagnio, Dayron Rumbaut-Rangel, Leonel Vasquez-Cevallos

Neutrosophic Sets and Systems

This paper presents a novel framework that integrates Random Forest classification with neutrosophic logic to address the challenge of uncertainty-aware decision-making in nursery school application processes. Using the publicly available Nursery dataset—which includes socio-familial attributes such as parental occupation, financial standing, and health conditions—the proposed model not only achieves high predictive accuracy (approximately 95%) but also quantifies uncertainty explicitly through neutrosophic sets defined by truth (T), indeterminacy (I), and falsity (F) membership degrees. This approach allows for a nuanced interpretation of classification confidence, distinguishing between clear-cut cases that can be automated and borderline instances requiring human expert review. By enabling …

Automated Ai Validation Of Neutrosophic Plithogenic Hypotheses In Multigrade Literacy Improvement, Isaac Roger Martínez, Débora Lucia Ponce Rivera, Maryuri Yvonne Guale Gómez, Rudy Garcia Cobas, Carlos Roberto Humanante Cabrera

Neutrosophic Sets and Systems

Literacy is acquired in multigrade classrooms in complicated scenarios because of varying literacy competencies and abilities and varied resources and materials. Thus, it's hard to determine if certain teaching interventions work. This is also a growing concern, a timely consideration, because as the institutions try to better the Quality of Education and prevent learning lags for multivariate classrooms are concerned. Yet the literature contains gaps where no direct attempt to stabilize teaching interventions is made despite the findings of many studies generating didactic interventions through the proceedings. Thus, this study fills the gap with an approach based upon hypothesis generation …

Neutrosophic Sets And Systems, Vol. 92, 2025, Florentin Smarandache, Maikel Yelandi Leyva, Mohamed Abdel‑Basset

Neutrosophic Sets and Systems

No abstract provided.

Basic Effectiveness Of Group Mindfulness-Based Cognitive Therapy (Gmbct) In The University Setting, John Robert C. Rilveria, Nisseth Clarize S. Carido, April Veronica G. Lansangan, Alaya Gabrielle N. Villaflor, Anna Cristina A. Tuazon, Divine Love A. Salvador, Violeta V. Bautista

Asia-Pacific Social Science Review

The COVID-19 pandemic has reshaped daily life and amplified mental health challenges worldwide, with university students identified as a particularly vulnerable group. To address this need, the present study evaluated the effectiveness of group mindfulness-based cognitive therapy (GMBCT) as an evidence-based intervention for students receiving psychosocial services during the pandemic. Using a pretest–posttest design, data from 34 students randomly assigned to either GMBCT or individual treatment-as-usual (TAU) provided by a university-based clinic were analyzed. To evaluate treatment effects, an analysis of covariance (ANCOVA) was conducted to compare post-treatment outcomes between the two groups while controlling for pre-treatment scores, treatment length, …

Evaluating The Impact Of System, Information, And Service Quality On User Outcomes In Malaysian Public Hospitals: A Structural Equation Modeling Approach, Muhd Siv Azhar Merican Abdullah, Azimatun Noor Aizuddin, Mohd Rizal Abdul Manaf

Makara Journal of Health Research

Background: Increasing use of hospital information systems (HIS) underscores the need to evaluate their impact on User Satisfaction and Perceived Net Benefits. This study investigated the connections among outsourced System Quality, Information Quality, Service Quality, Perceived Usefulness, User Satisfaction, and Perceived Net Benefits in the context of Malaysian public hospitals.

Methods: Data were collected from 1,376 healthcare personnel across six public hospitals and analyzed using structural equation modeling through analysis of moment structures grounded in the DeLone and McLean Information Systems Success Model.

Results: System and Service Qualities significantly influenced User Satisfaction and Perceived Usefulness, while Information Quality impacted …

A Cross-Sectional Study On Patient Safety Attitudes And Their Determinants Among Medical Staff In Malaysian Public Specialist Hospitals, Sharifah Balqis Sayed Abdul Hamid, Aniza Ismail, Saperi Sulong

Makara Journal of Health Research

Introduction: This study aimed to assess the baseline level and mean scores of patient safety attitude domains among doctors and nurses in Malaysian public hospitals and to identify determinants associated with these attitudes across six domains: teamwork, safety climate, working conditions, job satisfaction, stress recognition, and perception of management.

Methods: A cross-sectional study was conducted using the Safety Attitudes Questionnaire (SAQ) among 142 doctors and 231 nurses from three public tertiary hospitals. Participants were selected through proportionate stratified random sampling. Data were analyzed using descriptive, bivariate, and multivariate methods.

Results: The study achieved an 81% response rate. …

Knowledge, Attitudes, And Practices Concerning Water, Sanitation, And Hygiene And Related Diseases Among University Students In Malaysia, Renee Ng Jeffrey, Aida Soraya Shamsuddin, Farah Diyana Ariffin, Aziemah Zulkifli

Makara Journal of Health Research

Background: Water, sanitation, and hygiene (WASH) practices are fundamental components of public health, being crucial in preventing disease transmission and promoting healthy living environments. In this context, university students play an essential role as future professionals and community advocates in fostering proper hygiene behaviors and preventing disease outbreaks. Understanding knowledge, attitudes, and practices (KAP) in regard to WASH among individuals, particularly university students, is crucial for promoting proper hygiene behaviors. This study aimed to assess the KAP in regard to WASH and related diseases among undergraduate students from the Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM).

Methods: …

An Analysis Of Student Performance In Elementary Linear Algebra At Brigham Young University, Adrienne Irene Christensen

Theses and Dissertations

This study investigates different factors that influence performance in the Elementary Linear Algebra (ELA) course taught at Brigham Young University. These factors include student characteristics such as true freshman status and college enrollment, and content-specific factors such as how performance on essential topics affects overall performance in the course. To analyze the various research questions posed in the study, I used robust linear mixed effects models with random effects controlling for the hierarchical structure of the data. The statistically significant results from these models indicate that (i) true freshmen perform better than other students on exams and in the ELA …

Studying Causal Inferences For Student Success In Higher Education, Prabesh Shrestha

Theses and Dissertations

Higher education institutions strive to support students in achieving their academic goals through targeted interventions and data-driven strategies. This study analyzed 19 variables, spanning student demographics, enrollment patterns, and institutional interventions, to identify predictors of students completing all enrolled courses in a semester. Using random forest, logistic regression, and bootstrap forest models, we assessed variable importance and derived causal estimates to determine their impact. Results from causal analysis indicate positive effects from session type, term load, referrals, kudos, flags, and scholarships, while negative impacts were associated with location, course delivery method, enrollment status, advisor contact, and registration interval. These findings …

Replacement And Reputation, Navin Kartik, Elliot Lipnowski, Harry Pei

Cowles Foundation Discussion Papers

Does electoral replacement ensure that officeholders eventually act in voters’ interests? We study a reputational model of accountability. Voters observe incumbents’ performance and decide whether to replace them. Politicians may be “good” types who always exert effort or opportunists who may shirk. We find that good long-run outcomes are always attainable, though the mechanism and its robustness depend on economic conditions. In environments conducive to incentive provision, some equilibria feature sustained effort, yet others exhibit some long-run shirking. In the complementary case, opportunists are never fully disciplined, but selection dominates: every equilibrium eventually settles on a good politician, yielding permanent …

Lattice Thermal Transport Beyond The Quasiparticle Approximation: Nontrivial Spectral Competition Between Three- And Four-Phonon Interactions, Yi Xia

Mechanical and Materials Engineering Faculty Publications and Presentations

The breakdown of the quasiparticle approximation (QPA) for phonons in strongly anharmonic materials necessitates advanced first-principles frameworks for accurate lattice dynamics and thermal transport predictions. We develop a comprehensive beyond-quasiparticle approximation (BQPA) approach incorporating both three- (3ph) and four-phonon (4ph) interactions and apply it to investigate lattice thermal conductivity (κL) in MgO, PbTe, and AgCl – materials that span a broad spectrum of anharmonicity, from weak to severe anharmonic regimes with overdamped phonons. We reveal that while BQPA consistently increases κL relative to QPA due to phonon softening when considering only 3ph interactions, the inclusion of additional 4ph interactions hardens …