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Analysis Of Leakage In Nearshore Pipelines Using Fitness For Service Method To Ensure Mechanical Integrity Based On Api-579 Level 3, Elriandri Elriandri, Dedi Priadi

Journal of Materials Exploration and Findings

The Fitness for Service (FFS) analysis is performed as a quantitative assessment to evaluate the integrity condition of a pipeline. Essentially, FFS assessment helps determine whether equipment components can operate safely despite existing deficiencies. This evaluation is carried out using the Finite Element Method (FEM). In the case of an underwater pipeline that experiences leak due to anchor pull at the flange connection, it undergoes plastic deformation and is lifted approximately 1 meter. As a mitigation step, inspection and repairs have been carried out by the company. Subsequently, modeling is performed to reconstruct the deformation process of the pipeline. Then, …

Preface To The Special Issue: Neutrosophy In Artificial Intelligence: Advances And Applications From The Joint Conferences Of Barna Management School (Dominican Republic) And Universidad Del Trabajo Del Uruguay (August 6–8, 2025), Florentin Smarandache, Maikel Yelandi Leyva, Mohamed Abdel‑Basset

Neutrosophic Sets and Systems

This special issue presents the advances and applications of neutrosophy in artificial intelligence, stemming from the joint conferences organized by BARNA Management School and the Universidad del Trabajo del Uruguay in August 2025. The volume explores how neutrosophy—conceived by Dr. Florentin Smarandache—integrates truth, falsehood, and indeterminacy to address the complexity of reasoning in uncertain contexts. It highlights the potential of neutrosophic logic to overcome the limitations of current AI systems, which often struggle with incomplete or contradictory information. The issue also emphasizes the importance of critical thinking as a human strength in the age of intelligent machines and incorporates a …

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 …

Integrating Normative Coherence Into Judicial Hermeneutics Through The Neutrosophic Hierarchical Analytic Process: An Ethical Approach To Justice, Carmen Marina Méndez Cabrita, Josía Jeseff Isea Argüelles, Teresa De Jesús Molina Gutiérrez, Jesús Alfredo Morales Carrero

Neutrosophic Sets and Systems

This article answers the need to ensure normative coherence in hermeneutics exercised by judges and aims to investigate how a judge's decision can be in line with ethical justice values and formal justice values when uncertainty is concerned. This article is significant and timely because the current state of globalized legal systems calls for judges who can render the expected outcome but also an application of law that supports ethical justice values to enhance the legitimacy of any judicial system and community confidence in authority. While other scholarly contributions to the field of legal hermeneutics—from Vigo—credit a great deal to …

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 …

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.

Multivariate Visualization Of The Impact Of Universal Design For Learning On Inclusion And Mathematical Achievement Using The Neutrosophic Biplot Method, Franklin Leónidas Elizondo Avilez, Viviana Josefa Mosquera Yépez, Jimmy Darlin Zambrano Palma, Juana Danesa Mosquera Yépez

Neutrosophic Sets and Systems

This dissertation answers a problem of practice. What is the effect of Universal Design for Learning on equity and achievement in math for at-risk and special needs upper elementary and secondary students in Ecuador? classrooms are more diverse than ever, with variations in learning styles and the expectation of equity in the classroom. Thus, it's critical to address past and present methods of teaching that promote access and participation. While the implementation of Universal Design for Learning is relatively new to the inclusion game, the studies done thus far fail to incorporate a triangulated design that considers complexity, multivariate factors, …

Relationship Between Social Context And Women’S Entrepreneurship From The Asopromaher Artisanal Production Association, Analyzed Using Neutrosophic Cognitive Maps, Arturo Gustavo Benavides Rodríguez, Jacqueline Del Rocío Bacilio Bejeguen, Lorena Gisella Reyes Tomala, Lilia Esther Valencia Cruzaty

Neutrosophic Sets and Systems

The study of women's entrepreneurship has been gaining notoriety in the academic community. This research explores the relationship between social context and female entrepreneurship. It is essential to understand the context in which the entrepreneur developed in an environment, to determine how this context affects entrepreneurship due to various factors. This paper aims to describe the influence exerted by the social context on the entrepreneurship of women from the ASOPROMAHER Artisanal Production Association in Ecuador. Several aspects, such as family, community, and social networks, are analyzed. It is concluded that the social context significantly influences entrepreneurship and that society is …

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 …

Technarrative Model (Ntm) For The Symbolic-Emotional Evaluation Of Architectural Space: A Neutrosophic Multiperspectivism Approach, Jesús Rafael Hechavarría-Hernández, Ana María Padrón-Medina, Erika Ascencio Jordán

Neutrosophic Sets and Systems

This research answers the need to evaluate an architectural space from a non-technical standpoint relative to its symbolism/emotion charge that is not taken into account by the design/planning of such public spaces. This research problem is sociologically relevant as today; architecture does not only dictate the layout of the physical world but also the group existence, sensitivity to experiences and modes of social appropriation. Yet the state-of- the-art literature provides purely professional and empirical avenues of investigation driven by economic/aesthetic value with no pathway for understanding appreciation of ambiguity and the multiple perspectives at play. Thus, a Neutrosophic Technarrative Model …

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 …

Scholarai Scholarly Article Search Strategies With The Ayni Method Multi-Neutrosophic For Ethical Information Management In Ai, Ennio Jesús Mérida Córdova, Elizabeth Esther Vergel Parejo, Raúl López Fernández

Neutrosophic Sets and Systems

In a digital world where scientific articles are published at an unprecedented rate, an additional step in the research process to facilitate discovery is an effective search and filtering for worthwhile articles. Thus, this study aims to solve the following research problem: how to search for scientific articles using artificial intelligence (AI) while applying ethical considerations and ancestral knowledge? The topical relevance is that as AI is a great vessel to seek potentially accessible knowledge, searches can be guaranteed through accuracy, inclusivity, and ethics. While many studies exist on the topic of AI related to searching, few, if any, extend …

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% …

Neutrosophic Framework For Violence Prediction In Urban Environments: A Hybrid Approach Integrating Fsqca And Machine Learning For Public Safety Decision-Making, Alfonso Aníbal Guijarro Rodríguez, Tatiana Mabel Alcívar Maldonaldo, Leili Genoveva Lopezdominguez, Matilde Briggitte Silvers Briones, John Henry Fernández Vera

Neutrosophic Sets and Systems

In the context of citizen security, predictive systems for urban violence are essential for preventive decision-making and the efficient allocation of security resources. This work proposes an innovative neutrosophic framework that integrates Fuzzy Qualitative Qualitative Comparative Analysis ( fsQCA ) with Machine Learning algorithms to predict urban violence patterns in complex and uncertain environments. Neutrosophic logic allows handling the uncertainty, imprecision and inconsistencies inherent in social data, while fsQCA identifies complex causal configurations that traditional statistical methods cannot capture. The developed hybrid model combines Random Forest, fuzzy logic, and neutrosophic logic are used to process homicide data, demographic variables, and …

Modeling Numerical Thinking In Second-Year Students Using Neutrosophic Cognitive Maps In Game-Based Learning, Nayade Caridad Reyes Palau, Amable Nelly Hodelín, Elizabeth Esther Vergel De Salazar, Lidia Carmita Pucha Medina, Mariela Alexandra Flores García

Neutrosophic Sets and Systems

This problem is a development of numerical thinking of second course Basic General Education students where insufficient understanding of digits and little enthusiasm obstructs proper learning. The topicality of the problem is relevant since understanding numbers since early age allows for proper academic growth and task oriented problem-solving success in the everyday life—it is needed in a quite strict setting that allows for great logical-mathematical skills. The previous solutions did not meet the requirements of recent studies conducted in the field of games learning, as they did not integrate the uncertainly that reflected the cognitive developments of children, nor did …

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.

Future-Ready Physicians: Exploring Medical Students’ Readiness, Attitudes, And Perceptions Of Healthcare Artificial Intelligence In Saudi Arabia, Hassan Abdulaziz Moria, Amirah Alatawi, Sharifah Alzahrani, Hyder Mirghani, Hisham Al Shadfan

Makara Journal of Health Research

Background: While the integration of artificial intelligence (AI) in healthcare has advanced globally, there is limited research on the preparedness of medical students in the Tabuk region of Saudi Arabia, particularly regarding their specific educational needs and cultural context. This study assessed medical students’ knowledge, attitudes, readiness, and confidence toward AI integration at the University of Tabuk, providing the first comprehensive analysis of AI readiness in this underrepresented northern region of Saudi Arabia.

Methods: A cross-sectional study was conducted among 261 medical students and interns across all academic years (1–6) at the Faculty of Medicine, University of Tabuk, …

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 …

Achieving More Accurate And Interpretable Fraud Detection With Double Machine Learning, Jeremy Andrew Berry

Theses and Dissertations

Fraud detection remains a critical challenge across industries such as insurance, healthcare, finance, and government. Global losses from fraud and financial crime are estimated in the trillions annually, including billions in healthcare and insurance fraud alone. While effective for prediction, traditional machine learning methods often lack causal interpretability and struggle to adapt to evolving fraud tactics. This dissertation investigates the application of Double Machine Learning (DML), an emerging causal inference technique, to enhance both the accuracy and interpretability of fraud analytics. The research compares DML against established causal inference approaches, leveraging a meta-learning framework to evaluate model performance on accuracy, …

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 …