Digital Commons Network^™

Analysis Of The Evolution Of Social Competence In Students Through Research Methods Based On Neutrosophic Sets, Huberto Tito Hinostroza Robles, María Teresa Cabanillas López, Fidel Denis Huasco Espinoza

Neutrosophic Sets and Systems

The present study investigates the evolution of social competence in students through research methods based on set theory and the application of neutrosophic sets. The central question lies in how to accurately assess the development of social skills in educational contexts, given that traditional tools do not always capture the complexity of students' interactions and perceptions. The importance of this topic lies in the need for evaluation methods that faithfully reflect the growth in social competencies, vital for the comprehensive development of students in increasingly diverse and demanding educational environments. Despite the abundance of studies on social competencies, there is …

Gender Gap In Sme Ownership: An Analysis Of Female Entrepreneurship In Santa Elena Canton, Ecuador, Using Treesoft Sets, Lorena Gisella Reyes Tomala, Lilia Esther Valencia Cruzaty, Arturo Gustavo Benavides Rodríguez, Jacqueline Del Rocío Bacilio Bejeguen

Neutrosophic Sets and Systems

The paper we present here is an approach to the problem of gender inequality in the artisanal production association called ASOPROMAHER, located in Santa Elena Canton, Ecuador. It is a pretext to address the issue and extrapolate it to the current situation of the entire country. Without a doubt, gender inequality persists in Ecuador today, including an important sphere of economic development in the country such as entrepreneurship in SMEs. There are multiple issues to address in this situation, ranging from psycho-logical, economic, social, cultural, and political issues. Each of these spheres is related to each other in a complex …

Analysis Of The Impact Of Soft Skills On Organizational Competitiveness In Cotopaxi Through Modeling Of The Plithogenic Iadov, Evelyn Alexandra Tovar Molina, Angelita Elizabeth Romero Poveda, Bryan Marcelo Barragán Pazmiño, Kelly Nicole Punina Salazar

Neutrosophic Sets and Systems

Training plays an important role in the development of skills and organizational competitiveness. In Co-topaxi, a misalignment was identified between employees and organizational objectives concerning or-ganizational performance and human development. Consequently, this study analyzed the influence of soft skills, the elimination of skill gaps, adherence to standards, and organizational alignment on job sat-isfaction and performance, aiming to enhance organizational competitiveness. The plithogenic IADOV method was applied to evaluate satisfaction levels and the interrelationships among these dimensions. Findings indicated significant dissatisfaction among employees across all assessed dimensions, under-scoring the urgent need for training programs focused on soft skills. It was concluded …

Neutrosophic Statistical Analysis Of Cardiovascular Disease Prevention From A Physical Culture In Urban Communities, Dennys Raúl Dupotey Hernández, Darvin Manuel Ramíerez Guerra

Neutrosophic Sets and Systems

The research presented here considers the educational potential of physical activities for disease preven-tion. Its objective is to elaborate a physical-educational intervention strategy for the prevention of cardio-vascular diseases in urban communities in the department of Cundinamarca, Colombia. The research was carried out in the municipalities of Funza, Fusagasugá Albán, and Supatá in the department of Cundinamarca in Colombia, based on the theoretical foundations of prophylactic and therapeutic phys-ical culture and related sciences for disease prevention. Theoretical, empirical, and mathematical-statistical scientific methods were applied. In addition, neutrosophic techniques were used to validate the study. The results indicate an adequate level …

English For Specific Purposes In The Medical Sciences To Strengthen The Professional Profile Of The Higher Education Medicine Student: A Knowledge Representation Using Superhypersoft Sets, Oswaldo Edison García Brito, Andrea Sofía Ribadeneira Vacacela, Carmen Hortensia Sánchez Burneo, Mónica Cecilia Jimbo Galarza

Neutrosophic Sets and Systems

The English language is an important added value for the professional profile of students in all higher education courses due to the demands of the current century, in which mastering more than one lan-guage is undoubtedly one of the preponderant skills to access better and more opportunities within the workplace, especially in careers such as medicine. Therefore, the curricular design and the implementa-tion of a program focused on the development of the linguistic skills of the future health professional is pertinent and necessary to strengthen their professional profile; not only in the discourse at the level of talks, congresses, training, …

Detection Of Cardiovascular Diseases Using Predictive Models Based On Deep Learning Techniques: A Hybrid Neutrosophic Ahp-Topsis Approach For Model Selection, Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Franklin Parrales-Bravo, Cristhian Medina-Suarez, Wendy Yanez-Pazmino, David Zabala-Blanco, Maikel Y. Leyva-Vazquez

Neutrosophic Sets and Systems

In Ecuador and globally, cardiovascular diseases are the leading cause of mortality, accounting for a worrying 26.49% of deaths in 2019. An approach based on deep learning is applied to improve the capacity for early prediction and reduce its incidence. In this work, three different models were proposed and compared: deep neural networks (DNN), convolutional neural networks (CNN), and multilayer perceptron (MLP). Experiments were conducted in two scenarios: one using a dataset that included 12 variables, and another in which the variables were reduced to those most significantly correlated with cardiovascular disease, i.e., 4 variables; both scenarios with 918 clinical …

Creative Exploration Of Yagé In Intrapersonal Discovery Through The Plithogenic Iadov Method, Marcela Ximena Parra Pérez, Arleth M. Márquez Bermeo

Neutrosophic Sets and Systems

Post-Yage visions, influenced by ancestral Indigenous practices, have had a significant impact on the worldview and collective consciousness of participants. The objective of this study is to analyze post-Yage visions from an intercultural perspective, evaluating cultural depth, creativity, psychological impact, social relevance, and clari-ty in interpretation. The objective is to understand their influence on the Indigenous worldview and their im-pact on individual and collective consciousness through the modeling of the plithogenic IADOV. Correlations were identified between interpretive clarity, creativity, and psychological impact, highlighting their influence on the identity and social awareness of participants. In conclusion, this study provides deeper insights …

Neutrosophic Analysis Of Strategies To Improve Productivity In An Restaurant Chain, Efrén Gonzalo Montenegro Cueva, Milena Alejandra Napa Alcívar

Neutrosophic Sets and Systems

The study analyzed productivity in an Ecuadorian restaurant chain using a multicriteria approach within a neu-trosophic framework. The research focused on identifying effective strategies to optimize processes and address-ing specific challenges such as staff turnover and compensation management. The TOPSIS method, combined with bipolar neutrosophic numbers, was employed to evaluate a group of strategies based on high-impact crite-ria. The results highlighted the implementation of economic incentives, training and retention programs, and performance management systems as the most effective alternatives. In contrast, internal communication cam-paigns and flexible schedules were found to be less prioritized. The research demonstrated the utility of neutro-sophic …

Applying Neutrosophic Natural Language Processing To Analyze Complex Phenomena In Interdisciplinary Contexts, Diego Fernando Coka Flores, Ignacio Fernando Barcos Arias, María Elena Infante Miranda, Omar Mar Cornelio

Neutrosophic Sets and Systems

The paper addresses the challenge of integrating natural language processing (NLP) with neutrosophic logic to solve problems where uncertainty, ambiguity, and indeterminacy play a critical role. This approach becomes particularly relevant in an increasingly digitalized world, where human-machine interaction requires a deeper understanding of linguistic and contextual nuances. Despite advances in conventional NLP, many existing methodologies lack tools to effectively manage undefined or contradictory elements present in real data. In this context, neutrosophic logic offers an innovative framework to model and analyze complex and multifaceted human perceptions. The study applies a methodology that combines advanced NLP techniques with neutrosophic analytical …

Use Of Delphi-Ahp Neutrosophic Methods For The Analysis Of School Indicators, Alex Fabian Solano Moreno, Carlos Javier Lizcano Charpeta, Beatrice Del Carmen Viteri Naranjo, Jean Pierre Ramos-Carpio

Neutrosophic Sets and Systems

The study addresses the complex task of analyzing school indicators through the combined application of the Delphi-AHP neutrosophic methods, seeking to overcome the limitations of traditional approaches in educational assessment. The research focuses on the urgent need to develop more robust models that can handle the uncertainty, imprecision, and ambiguity inherent in educational data. Although previous research has been conducted on the analysis of school indicators, conventional approaches fail to effectively integrate the multiple dimensions and degree of uncertainty of the data. This study proposes an innovative solution by integrating neutrosophic tools, which allow for a more flexible and detailed …

Insertion And Use Of Multicriteria Methods For Neutrosophic Judicial Evaluation, Roberto Carlos Jiménez Martinez, María José Calderón Velásquez, Manuel Augusto Suarez Albiñol, Yusleidy Marlie Gordo Gómez

Neutrosophic Sets and Systems

This study addresses the growing need to integrate multicriteria methods into judicial evaluation, specifically through a neutrosophic approach, to improve the accuracy and reliability of legal decision-making. Today, the judicial system faces critical challenges related to the interpretation of evidence, the consideration of multiple factors, and the uncertainty inherent in complex cases. Although various approaches have been used in judicial evaluation, few effectively address the ambiguity and indeterminacy present in the opinions of judges and experts, leading to fragmented or biased analysis. This study seeks to close that gap by applying neutrosophic multicriteria methods, which allow for a more balanced …

Enhancing The Teaching-Learning Process Through Neutrosophic Statistical Analysis Of Professional Competencies And Metacognitive Strategies, Dante Manuel Macazana Fernandez, Wilder Fabio Ramos Palacios, Daniel Amílcar Pinto Pagaza,, Mary Liz Mendoza Hidalgo, Tula Margarita Espinoza Moreno, Mayra Susan Albán Taipe

Neutrosophic Sets and Systems

In the educational field, teaching effectiveness depends on the interaction between professional competencies and teachers' metacognitive strategies. Therefore, the present study has proposed to evaluate the relationship be-tween professional competencies and metacognitive strategies, by using the management of indeterminacies to improve the teaching-learning process. To this end, the neutrosophic statistics method was applied to analyze data on meta-cognitive competencies and strategies in a group of teachers. Among the results, a general positive relationship was revealed between professional competencies and metacognitive strategies, with significant var-iations in specific areas. Finally, it has been concluded that there is a significant connection, where the …

Ncc: Neutrosophic Control Charts, A Didactic Way To Detect Cardiac Arrhythmias From Reading Electrocardiograms, Lorenzo Cevallos-Torres, Jefferson Núñez-Gaibor, Maikel Leyva-Vasquez, Víctor Gómez-Rodríguez, Franklin Parrales-Bravo, Jesús Hechavarría-Hernández

Neutrosophic Sets and Systems

Cardiac arrhythmias are cardiovascular conditions caused by irregularities in the formation or transmission of electrical impulses. To identify these arrhythmias and determine their origin, an electrocardiogram (ECG) is used, which graphically records the electrical activity responsible for each heartbeat over a short period. This analysis can reveal stochastic changes, introducing a degree of uncertainty. To detect these changes, neutrosophic control charts provide an appropriate statistical tool to assess the stability of the ECG, anticipate potential heart failures, reduce variability in measurements, and, in some cases, make predictions. The results indicate that the proposed model is highly accurate in detecting and …

Mixed Graph In Fuzzy, Neutrosophic, And Plithogenic Graphs, Takaaki Fujita, Florentin Smarandache

Neutrosophic Sets and Systems

Graph theory examines networks consisting of nodes (vertices) and the connections (edges) between them. Mixed graphs, which combine both undirected and directed edges, provide a versatile framework for representing relationships with symmetric and asymmetric connections across various systems. In this work, we introduce and analyze the concept of mixed graphs within the contexts of Fuzzy Graphs, Neutrosophic Graphs, and Turiyam Neutrosophic Graphs. By exploring their properties, interrelations, and potential applications, we aim to advance theunderstanding of uncertain graphs.

Evaluation Of The Impact Of The Use Of Digital Skills On The Substantial Increase In Learning Through The Neutrosophic Pest-Swot Approach, Luis Fernando Blanco Ayala, Ricardo Edilberto Palacios Pérez, Jean Pierre Wong Silva, Bertha Silva Narvaste, Josué Joel Ríos Herrera, Viviana Pastora Panchi Mayo

Neutrosophic Sets and Systems

The research focuses on measuring the influence of the use of digital skills on learning, a major issue in current education. The fundamental issue addressed is how digital skills can greatly influence the educational process and the academic success of learners. In the contemporary environment, characterized by rapid technological growth and the increasing integration of digital instruments into the educational sphere, this challenge becomes especially essential. Despite the extensive use of digital technologies, there is a dearth of a comprehensive exam-ination of how these skills influence learning from a multidimensional point of view that incorporates both in-trinsic possibilities and risks. …

Applying Neutroalgebra And Neutrosophic Sentiment Analysis To Assess Last Mile Logistics Impact On Customer Experience, Rosa María Criollo Delgado, Julio Cesar Vidal Rischmoller, Sergio Marcelo Palomino Criollo

Neutrosophic Sets and Systems

The aim of the paper entitled Neutrosophic Sentiment Assessment Using Neutroalgebra Applied to Last Mile Impact on Customer Experience explains the assessment of how factors related to last mile logistics impact cus-tomer perception. While there are many articles and research studies related to last mile logistics, the body of such articles simply focuses on repeating ordinary scope quantitative and qualitative analysis with an urban fo-cus. This paper is intended to be an innovative contribution to the existing body of knowledge by ‘catching the wave’ of the current state of algebra and employing neutrosophy to develop a better understanding and model-ing …

Neutrosophic Set Theory In E-Commerce Evaluation: A Novel Approach To Sales Strategy Optimization, Benjhall Jordan Camargo Vilcapoma, Valia Ximena Huaman Coras, Rosa María Criollo Delgado

Neutrosophic Sets and Systems

In practical terms, the most accurate term to use is “language economy”, which translates as contemporary languages. It is possible to infer that language interacts indirectly with people’s lives, influencing their way of socializing and lifestyle. The common population maintains constant contact with various foreign languages, instinctively collecting elements, which favors the development of the person. However, it is logical to propose the inclusion of language economy in scientific and cultural theoretical debates at a general level. It will be an example of building connections between theory and practice. Language, in its primary role of communication, contains the concepts of …

Evaluation Of Anxiety-Producing Factors In The Context Of Dental Care Using Delphi-Ahp Neutrosophic Methods, Christian Esteban Gómez Carrión, Ruth Asela Saravia Alviar, Jessica Haydée Saravia Alviar, Brenda Roxana Vergara Pinto, Elca Rocío Del Águila Gastelu, Secundino Marrero Ramírez

Neutrosophic Sets and Systems

The present study addresses a crucial problem in the field of dental care: the anxiety that patients experience during dental procedures. This worry is crucial considering that anxiety may impair both the patient experience and the efficacy of therapy. Despite the extensive literature on techniques for managing anxiety in medical contexts, there is a notable gap in the integration of systematic approaches that consider both technical and psychological factors. This paper addresses that gap by employing the neutrosophic Delphi-AHP technique, a novel methodology that allows for full evaluation and prioritization of treatments to decrease anxiety. Using a technique that combines …

Media Pressure And Pretrial Detention Requirements In Ucayali, Peru: A Study Based On Neutrosophic Measures, Alan Christian López Castillo, Edward Usaqui Barbaran, Miguel Oscar López Orellana, Aníbal Campos Barreto, Llesica Soria Ramirez, Wilmer Ortega Chávez, Víctor Tedy López Panaifo, Alex Davis Astohuaman Huaranga

Neutrosophic Sets and Systems

This study is based on a qualitative approach and analyses the influence of media pressure on judicial decisions regarding pretrial detention in Peruvian criminal proceedings. Four media cases were selected as a sample and documentary analysis techniques were used. The results reveal that media pressure plays an important role in judicial decisions, acting through various mechanisms such as exposure to information, public pressure, and so-cial legitimation. In some cases, media pressure has been a determining factor, while in others it has had a more subtle influence. Judges must be aware of this influence and take measures to prevent it from …

Mechanisms Of Extracellular Vesicle Uptake And Implications For The Design Of Cancer Therapeutics, Stephanie R. Jackson Cullison, Joseph P. Flemming, Kubra Karagoz, Peter J. Wermuth, Mỹ G. Mahoney

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

The translation of pre-clinical anti-cancer therapies to regulatory approval has been promising, but slower than hoped. While innovative and effective treatments continue to achieve or seek approval, setbacks are often attributed to a lack of efficacy, failure to achieve clinical endpoints, and dose-limiting toxicities. Successful efforts have been characterized by the development of therapeutics designed to specifically deliver optimal and effective dosing to tumour cells while minimizing off-target toxicity. Much effort has been devoted to the rational design and application of synthetic nanoparticles to serve as targeted therapeutic delivery vehicles. Several challenges to the successful application of this modality as …

National Counterterrorism Innovation, Technology, And Education Center Annual Report 2023-2024, National Counterterrorism Innovation, Technology, And Education Center

Reports, Projects, and Research

No abstract provided.

Fetal Sex Effects On Maternal Health Can Now Be Tested Via Randomization: A First-In-Class Illustration In Cows On Glucoregulatory Outcomes, Aridany Suarez-Trujillo, Colby J Vorland, Griffin T Nicholls, Daniella E Chusyd, Chelsie Parker, Lilian Golzarri-Arroyo, Sophia Swann, Bethany J Funnell, Kara R Stewart, David B Allison

Children’s Nutrition Research Center Staff Publications

Background: The maternal-offspring relationship, such as whether fetal sex influences maternal health, is essential to explore to advance prenatal and maternal health. While associations exist between fetal sex and maternal health outcomes, it is unclear whether these reflect a causal relationship.

Objective: To demonstrate that fetal sex can be randomly assigned to test the causal effect of fetal sex on maternal outcomes.

Methods: Holstein dairy cows were stratified and randomized using sealed opaque envelopes to be artificially inseminated with either X- or Y-sorted bull semen until 40 cows became pregnant. Monthly body weight measurements were recorded, and an intravenous glucose …

Guidelines For Interproximal Enamel Reduction (Ipr), Sewon Yang D.D.S., Min Seok Kim D.D.S., Eugene H. Bass D.M.D.

The New York State Dental Journal

The purpose of this review is to present current guidelines for Interproximal Enamel Reduction (IPR) safety and aims to provide clinical protocols for the practitioner to follow in order to conduct safe and effective IPR. This comprehensive step-by-step protocol for IPR, including the pre-, intra-, and post-operative safety measures, are proposed with further suggestions to assure the safety of the procedures and to minimize the potential iatrogenic side effects of IPR.

The Implementation Of Stream In Mathematics Classrooms In Abu Dhabi Primary Schools: Prospects, Priorities, Processes, And Problems, Nadeia Rashed Alalawi

Dissertations

This study shed light on implementing science, technology, reading and writing, engineering, art, and mathematics (STREAM) in mathematics classrooms in Abu Dhabi primary schools. The study aimed to explore mathematics teachers’ views on the prospects, priorities, processes, and problems of the implementation of STREAM in their classrooms. The study employed qualitative methods to collect and analyze data to support the findings using interviews, classroom observations, and document analysis. Fifteen in-service mathematics teachers were interviewed to explore their views about the application of STREAM in their classrooms regarding prospects, priorities, processes, and problems (4 Ps). Then, three of them were observed …

Experimental Evidence Of Instagram Influencers’ Impact On Well-Being, Kimberly Yiting T'Ng, Kai Qin Chan, Andree Hartanto

Research Collection School of Social Sciences

With Instagram influencers holding significant sway over public perception, their presumed psychological impact on young adults has gathered public attention. It has been claimed that influencers, known for showcasing enviable lifestyles, have the potential to affect their followers’ well-being. However, these claims have been based on correlational data that focuses on diffused indicators of social media consumption rather than specific features of Instagram. This limits our insight into the direct effects of Instagram on well-being. We experimentally investigated the effects of a brief exposure to Instagram influencers on the well-being. Our results showed that viewing profiles of demographically similar social …

Ultra-High Resolution Image Segmentation Via Locality-Aware Context Fusion And Alternating Local Enhancement, Wenxi Liu, Qi Li, Xindai Lin, Weixiang Yang, Shengfeng He, Yuanlong Yu

Research Collection School Of Computing and Information Systems

Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we innovate the widely used high-resolution image segmentation pipeline, in which an ultra-high resolution image is partitioned into regular patches for local segmentation and then the local results are merged into a high-resolution semantic mask. In particular, we introduce a novel locality-aware context fusion based segmentation model to process local patches, where the relevance between local patch and its various contexts are jointly and complementarily utilized to handle the semantic regions with large variations. Additionally, we present the alternating local enhancement …

Large Language Models For Software Engineering: A Systematic Literature Review, Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE tasks. Nevertheless, a comprehensive understanding of the application, effects, and possible limitations of LLMs on SE is still in its early stages. To bridge this gap, we conducted a Systematic Literature Review (SLR) on LLM4SE, with a particular focus on understanding how LLMs can be exploited to optimize processes and outcomes. We selected and analyzed 395 research articles from January 2017 to January 2024 to answer four key Research Questions (RQs). In RQ1, we categorize different LLMs …

Badfl: Backdoor Attack Defense In Federated Learning From Local Model Perspective, Haiyan Zhang, Xinghua Li, Mengfan Xu, Ximeng Liu, Tong Wu, Jian Weng, Robert H. Deng

Research Collection School Of Computing and Information Systems

There is substantial attention to federated learning with its ability to train a powerful global model collaboratively while protecting data privacy. Despite its many advantages, federated learning is vulnerable to backdoor attacks, where an adversary injects malicious weights into the global model, making the global model's targeted predictions incorrect. Existing defenses based on identifying and eliminating malicious weights ignore the similarity variation of the local weights during iterations in the malicious model detection and the presence of benign weights in the malicious model during the malicious local weight elimination, resulting in a poor defense and a degradation of global model …

Thoughts To Target: Enhance Planning For Target-Driven Conversation, Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie

Research Collection School Of Computing and Information Systems

In conversational AI, large-scale models excel in various tasks but struggle with target-driven conversation planning. Current methods, such as chain-of-thought reasoning and tree-search policy learning techniques, either neglect plan rationality or require extensive human simulation procedures. Addressing this, we propose a novel two-stage framework, named EnPL, to improve the LLMs’ capability in planning conversations towards designated targets, including (1) distilling natural language plans from target-driven conversation corpus and (2) generating new plans with demonstration-guided in-context learning. Specifically, we first propose a filter approach to distill a high-quality plan dataset, ConvPlan1. With the aid of corresponding conversational data and support from …

National Use Of Artificial Intelligence For Eye Screening In Singapore, Dinesh Visva Gunasekeran, Steven Miller, Wynne Hsu, Mong Li, Tym Hon Wong, Mun Tuck Lee, Ecosse Lamoureau, Daniel Shu Wei Ting, Gavin Siew Wei Tan, Tien-Yin Wong

Research Collection School Of Computing and Information Systems

Diabetes is a major health care challenge, affecting 10% of the global population. One third of patients with diabetes have an ocular complication known as diabetic retinopathy (DR). DR progression to manifestations such as vision-threatening diabetic retinopathy (VTDR) remains the leading cause of blindness in working-aged adults. Yearly DR screening is a universally recommended practice in primary care settings for patients with diabetes, but it is often difficult to implement due to a lack of staffing and screening capacity in primary care. This case study highlights our experience with developing a medical artificial intelligence (AI) software-as-a-medical-device (SaMD) solution for DR …