bluuebunny/crossref_metadata_2025 huggingface dataset:
Artificial Intelligence in Choroid Through Optical Coherence Tomography: A Comprehensive Review
Authors: Selvam Amrish , Ong Joshua , Driban Matthew , Bollepalli Sandeep Chandra , Chhablani Jay , Vupparaboina Kiran Kumar
Published: September 2023

 Vision-threatening conditions, such as age-related macular degeneration (AMD) and central serous chorioretinopathy (CSCR), arise from dysfunctions in the highly vascular choroid layer in the eye’s posterior segment. Optical coherence tomography (OCT) images play a crucial role in diagnosing choroidal structural changes in clinical practice. This review emphasizes the significant efforts in developing precise detection, quantification, and automated disease classification of choroidal biomarkers. The rapid progress of artificial intelligence (AI) has triggered transformative breakthroughs across sectors including medical image analysis. Recently, the integration of AI within the diagnosis and treatment of choroidal diseases has captured significant attention. Multiple studies highlight AI’s potential to enhance diagnostic precision and optimize clinical outcomes in this context. The review provides an extensive overview of AI’s current applications in choroidal analysis using OCT imaging. It encompasses a diverse array of algorithms and techniques employed for biomarker detection, such as thickness and vascularity index, and for identifying diseases like AMD and CSCR. The overarching goal of this review is to provide an updated and comprehensive exploration of AI’s impact on the choroid, highlighting its potential, challenges, and role in driving innovation in the field.  
Divergence Factor in Ray Model and its Application to Light Scattering by a Large Nonspherical Dielectric Particle
Authors: ZHANG Ce , Roze Claude , REN Kuan Fang
Published: September 2023

This letter focuses on the description of the divergence factor of a wave in terms of differential geometry, called Vectorial Complex Ray Model (VCRM), and its application in the scattering of a large nonspherical dielectric particle. The VCRM permits to calculate the amplitude and the phase of electric field rigorously in terms of ray model, but it fails to predict correctly the field near caustics (in rainbow angles). This problem is solved by combining the field calculated with VCRM and the physical optics. This hybrid method is then applied, as example, to the scattering of an infinite cylinder and an ellipsoid. The comparison with the rigorous Debye theory shows that our method can predict very precisely the scattered field in all directions including near the rainbow angles. The hybrid method removes the two approximations in Airy theory, so the results are much better. Because of its flexibility, this method can be applied directly to the scattering of a large nonspherical object of smooth surface.
S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images
Authors: Wieland Marc , Fichtner Florian , Martinis Sandro , Groth Sandro , Krullikowski Christian , Plank Simon , Motagh Mahdi
Published: September 2023

This study introduces the S1S2-Water dataset – a global reference dataset for training, validation and testing of convolutional neural networks for semantic segmentation of surface water bodies in publicly available Sentinel-1 and Sentinel-2 satellite images. The dataset consists of 65 triplets of Sentinel-1 and Sentinel-2 images with quality checked binary water mask. Samples are drawn globally on the basis of the Sentinel-2 tile-grid (100 x 100 km) under consideration of predominant landcover and availability of water bodies. Each sample is complemented with metadata and Digital Elevation Model (DEM) raster from the Copernicus DEM. On the basis of this dataset we carry out performance evaluation of convolutional neural network architectures to segment surface water bodies from Sentinel-1 and Sentinel-2 images. We specifically evaluate the influence of image bands, elevation features and data augmentation on the segmentation performance and identify best-performing baseline-models. The model for Sentinel-1 achieves an Intersection Over Union of 0.85, Precision of 0.93 and Recall of 0.90 on the test data. For Sentinel-2 the best model produces an Intersection Over Union of 0.96, Precision of 0.99 and Recall of 0.97 respectively. We also evaluate the performance impact when a model is trained on permanent water data and applied to independent test scenes of floods.
Development and Design of Multi-frequency Wireless Application Antenna
Authors: Kaur Sarabjeet
Published: September 2023

A monopole antenna is proposed with multi-band operation, stable gain, and wider bandwidth using a CPW, or fed by an approach using coplanar waveguides. The antenna has been designed for use with GPS and GSM (1900 MHz), WiMax (3.35-3.5 GHz), and WLAN operation (5.2/5.4 GHz). A prototype has been developed constructed and measured subsequently. The simulation and results from experiments illustrate good impedance bandwidth, consistent gain across the functioning bands, and a favourable radiation pattern.
Challenges in service discovery for microservices deployed in a Kubernetes cluster – a case stud
Authors: Erdenebat Baasanjargal , Bud Bayarjargal , Kozsik Tamás
Published: September 2023

With Kubernetes emerging as one of the most popular infrastructures in the cloud-native era, the utilization of containerization and tools alongside Kubernetes is steadily gaining traction. The main goal of this paper is to evaluate the service discovery mechanisms and DNS management (CoreDNS) of Kubernetes, and to present a general study of an experiment on service discovery challenges. In large scale Kubernetes clusters, running pods, services, requests, and workloads can be substantial. The increased number of HTTP-requests often result in resource utilization concerns, e.g., spikes of errors [24], [25]. This paper investigates potential optimization strategies for enhancing the performance and scalability of CoreDNS in Kubernetes. We propose a solution to address the concerns related to CoreDNS and provide a detailed explanation of how our implementation enhances service discovery functionality. Experimental results in a real-world case show that our solution for the CoreDNS ensures consistency of the workload. Compared with the default CoreDNS configuration, our customized approach achieves better performance in terms of number of errors for requests, average latency of DNS requests, and resource usage rate.
MAPEAMENTO DA REDE DE SOCIOASSISTENCIAL E DE SAÚDE PARA ATENDIMENTO DA POP RUA EM SALVADOR (BA)
Authors: Ananda Genonádio  , Renata Meira Veras
Published: September 2023

Introdução: Como reflexo da desigualdade econômica e social no Brasil, o quantitativo de pessoas em situação de rua vem aumentando a cada dia. A vida dessas pessoas tem sido marcada por reiteradas violações de direitos.  Diante disso, o Estado tem um papel decisório na gestão de políticas públicas. Esse estudo se justifica a partir da importância da visibilidade do tema e do comprometimento social da academia com as populações vulneráveis.  Questão de Investigação/Objetivos: A partir da questão de pesquisa: “quais são os serviços de saúde e de assistência social que atende a POP RUA em Salvador?” este estudo tem o objetivo de mapear e identificar qualitativamente os serviços da rede de saúde e de assistência social destinados ao atendimento da POP RUA em Salvador - BA. Métodos: A metodologia empreendida neste estudo foi exploratória de cunho qualitativo, dividida em dois momentos. Inicialmente, 3 documentos públicos foram utilizados como ponto de partida. Em seguida foram realizadas buscas em sites governamentais e análise de novos documentos e notícias acerca da temática estudada. Organização do artigo: Os documentos, portarias e notícias encontrados nos sites anteriormente citados foram analisados, compilados e organizados a partir de uma matriz de análise criada tendo como base os níveis de complexidade do SUAS e do SUS. Ao todo foram localizados e analisados 5 tipos de serviços específicos para a POP RUA. Considerações Finais: Verifica-se que no Brasil houve um avanço na promulgação de leis para garantia de direitos para a POP RUA. Entretanto, aspectos ainda precisam ser melhorados para que haja uma melhor efetividade da política na prática e, assim, a garantia de direitos dessa população. Ademais, sugere-se que mais estudos sejam feitos nessa área e que possa haver mais investigações acerca da aplicabilidade das políticas na realidade das cidades.
Use of Open Claims vs Closed Claims in Health Outcomes Research
Authors: Baser Onur , Samayoa Gabriela , Yapar Nehir , Baser Erdem , Mete Fatih
Published: September 2023

Background: Closed claims are frequently used in outcomes research studies. Lately, the availability of open claims has increased the possibility of obtaining information faster and on a larger scale. However, because of the possibility of missing claims and duplications, these data sets have not been highly utilized in medical research.

Objective: To compare frequently used healthcare utilization measures between closed claims and open claims to analyze if the possibility of missing claims in open claims data creates a downward bias in the estimates.

Methods: We identified 18 different diseases using 2022 data from 2 closed claims data sets (MarketScan® and PharMetrics® Plus) and 1 open claims database (Kythera). After applying an algorithm that removes possible duplications from open claims data, we compared healthcare utilizations such as inpatient, emergency department, and outpatient use and length of stay among these 3 data sets. We applied standardized differences to compare the medians for each outcome.

Results: The sample size of the open claims data sets was 10 to 65 times larger than closed claims data sets depending on disease type. For each disease, the estimates of healthcare utilization were similar between the open claims and closed claims data. The difference was statistically insignificant.

Conclusions: Open claims data with a bigger sample size and more current available information provide essential advantages for healthcare outcomes research studies. Therefore, especially for new medications and rare diseases, open claims data can provide information much earlier than closed claims, which usually have a time lag of 6 to 8 months.
The implication of Brexit on Africa’s regional integration
Authors: Koosentse Chwaro , Motswaledi Thabang , Manyaapelo Olerato
Published: September 2023

Brexit in contemporary International Relations has noticeable implications that Africa and other relating states should tentatively be on the lookout, as such the study contends that Britain leaving the European Union (EU) not only imposes negative attributes to African states, economically, politically, structurally and socially, but draws questionable attributes to the advocacy of Africa’s integration processes. Because of the diverse and multiple regional organizations, the study utilizes the African Union (AU) as an example to illustrate the impact Brexit will bear on regional institutions and equally impact on individual states’ quest to continue integrating with other states. The adoption of qualitative techniques is solely to assist the study in describing the impact of Brexit, both for states to learn to better their regional institutions or to advocate for national autonomy just as Britain is endeavoring. In assessing Africa’s perception amidst Brexit, the study holds that Britain’s endeavor for national autonomy threatens the principles of regional integration, as such, contributes significantly to the studying of Brexit’s multi-dimensional implications on Africa.
DETERMINATION OF ANALYTICAL DEPENDENCIES FOR VARIANCES OF SAMPLE COEFFICIENTS OF ASYMMETRY AND KURTOSIS OF TYPICAL APPROXIMATING DISTRIBUTIONS
Authors:   Doctor of Technical Sciences, Professor, Financial University under the Government of the Russian Federation, Moscow, Russia, Prokopchina Svetlana V.
Published: September 2023

The article is devoted to the issues of determining analytical dependencies for variances of sample characteristics of statistics of coefficients of asymmetry and kurtosis of typical distributions. It is shown that the values of the parameters of the exact sample distributions of the coefficients of asymmetry and kurtosis are strongly correlated with the type of the main distribution of a random variable or a random process. Schemes of statistical conclusions of analytical solutions are given. Graphical solutions are given. Specific dependences and graphs for the variances of the statistics of the coefficients of asymmetry and kurtosis of typical unimodal distributions are given.
Repensar el derecho de aguas en el Perú desde la experiencia acumulada y compartida
Authors: Alarcón Roberto
Published: September 2023

El seminario virtual «El Derecho de Aguas en el siglo XXI», una iniciativa conjunta de la Universidad de Zaragoza (UNIZAR, Zaragoza) y la Universidad del Desarrollo Andino (UDEA, Lircay), con el auspicio de la Universidad Nacional de Huancavelica (UNH, Huancavelica), ha significado un valioso aporte para el debate académico sobre el derecho de aguas en Latinoamérica, con especial énfasis en el Perú. La importancia de reflexionar sobre este tema particular radica, como bien resaltó el Dr. Armando Guevara Gil, rector de la UDEA, en los efectos del cambio climático y el agotamiento de los recursos, que se están produciendo en un contexto político caótico, un marco normativo confuso y crecientes demandas sociales que, en suma, contribuyen a la ingobernabilidad del agua.
¿Agua para todos?
Authors: Rasmussen Mattias Borg
Published: September 2023

«La Guerra del Agua» en Cochabamba, Bolivia, es un hito importantísimo en la historia reciente de América Latina, y un referente clave en las luchas populares por el agua en el continente. Marcó un momento decisivo en el rechazo popular del neoliberalismo, aquí manifestado en una multinacional privatizando un bien común como el agua, e inauguró la apertura para la denominada ola rosada de gobiernos izquierdistas y progresistas, teniendo al presidente Evo Morales como un actor central. Esta, por lo menos, es la historia común y corriente sobre la importancia de la Guerra del Agua. Pero, como bien lo explica Eileen McGurty (2009) desde la justicia ambiental, toda narrativa sobre movimientos y estallidos sociales corre el riesgo de simplificación. El hecho de que haya un levantamiento popular, incluyendo un nuevo análisis compartido como el rechazo al neoliberalismo en este caso, no debe ser interpretado como un momento puntual en el tiempo, sino como una transformación del entendimiento del problema y su solución, el empoderamiento de redes y la creación de nuevas estrategias. En otras palabras, cada lucha por el agua tiene su propia historia. Entender la complejidad de las luchas sociales por el agua requiere un análisis de las relaciones de poder que las condicionan y las atraviesan.
Derechos al agua en comunidades campesinas e indígenas
Authors: Isch Edgar
Published: September 2023

La gestión del agua en el Ecuador cuenta con una importante experiencia desde tiempos prehistóricos hasta tiempos actuales, donde destacan escenarios como el reconocimiento de estrategias ancestrales de conservación, pugnas por el acceso y control desde sectores de poder, abordajes legales que en la nueva Constitución le confiere derecho y orden de prelación al agua. A su vez, es necesaria la revisión del cumplimiento del derecho al agua en las comunidades campesinas e indígenas, que históricamente ha sido restringido, provocando situaciones de injusticia hídrica en las comunidades que viven en los territorios donde nace el agua. El ordenamiento jurídico del Ecuador concede derechos a la naturaleza y al agua, pero también debe velar por el derecho de la población al disfrute del agua como un derecho fundamental, en contexto de respeto y valoración de las cosmovisiones para su cuidado. En este artículo se inicia con una perspectiva histórica en la que se observa cambios y perdida de derechos en la fase neoliberal, para dar paso a la recuperación formal de esos derechos en medio de un pluralismo jurídico, que hoy deja planteados nuevos retos para el conjunto social y las nacionalidades y pueblos indígenas en particular.
Sentiment Analysis in Online Product Reviews: Mining Customer Opinions for Sentiment Classification
Authors: - Lakshay Bharadwaj
Published: September 2023

Online product reviews have become a valuable resource for consumers seeking detailed information and making informed choices. The process of automatically extracting sentiment or opinions from these reviews heavily relies on sentiment analysis, a branch of Natural Language Processing (NLP). This research article focuses on sentiment categorization in online product evaluations, utilizing innovative techniques for mining consumer opinions. The project aims to establish a robust framework for sentiment analysis that accurately classifies emotions expressed in these reviews. The proposed system incorporates advanced deep learning and machine learning methods to enhance data classification and extract fine-grained sentiment information. The study addresses the unique challenges of sentiment analysis in the context of online product evaluations, including polarity changes, sarcasm, and domain-specific sentiment expressions, which often pose significant obstacles to precise sentiment classification. The approach combines feature engineering and deep learning techniques, extracting lexical, syntactic, and semantic features such as part-of-speech tags, n-grams, sentiment lexicons, and word embeddings from the review texts. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are employed as sophisticated neural network architectures to leverage these features, creating robust representations and capturing contextual information. The suggested architecture is extensively evaluated on a large dataset of online product reviews, demonstrating superior performance in sentiment categorization compared to existing approaches. The evaluation encompasses various sentiment classes, measuring metrics like accuracy, recall, and F1-score, and assessing the framework's adaptability to different product domains. The study showcases the effectiveness of advanced machine learning and deep learning algorithms in sentiment categorization, advancing the field of sentiment analysis for online product evaluations. Businesses can gain valuable insights into customer sentiment and make well-informed decisions regarding product enhancements and marketing strategies by leveraging the proposed framework
Detecting Financial Fraud in the Digital Age: The AI and ML Revolution
Authors: - Sowmya G S , - Sathisha H K
Published: September 2023

Along with innovations in technology, swindlers are becoming smarter. Fraud is a major concern for the financial services industry. Earlier frauds in this industry were limited to robbery and loan defaults as the customers had limited ways to interact with their financial institutions. The technology innovation opened up various ways of interacting and transacting with financial services providers, which has led to a significant increase in several types of financial fraud. Technology is making a positive impact across many industries, including the financial sector. Technology is redefining what is possible in combating fraud and financial crimes. Artificial Intelligence (AI) and Machine Learning (ML) have grown drastically from being mere technology buzzwords to the commercial reality it is today. The aim of the present study is to understand the types of financial fraud and the role of AI and ML in financial fraud detection. Secondary data collected from websites and reports are used for the study.
The Influence of Nursing Character, Flourish and Job Stress on Burnout among Clinical Nurses
Authors:   Taegu Science University Defense Security Institute, Cho Young Mun
Published: September 2023

This study was done to identify variables predicting of burnout with nursing character, flourish and job stress in clinical nurses. The participants were 183 clinical nurses at a general hospital located in P city, Korea. Data were collected from August to October, 2022 by questionnaire survey. Data analysis was done by using SPSS WIN 26.0 program with independent t-test and analysis of variance, Pearson's correlation coefficients, and multiple linear regression. This study shows negative correlations between burnout and nursing character(r=-.41, p<.001), flourish(r=-.58, p<.001). In addition, it showed a positive correlation for job stress(r=.36, p<.001). The flourish(β=-.49), job stress(β=.38), nursing character(β=-.16) have a 49.8%(Adj R² .489) explanatory power for the nursing burnout in clinical nurses. Therefore, in order to reduce the burnout of clinical nurses, it is necessary to develop a support system and program within the nursing organization to reduce job stress generated in nursing situations, strengthen flourish and improve positive nursing character.
News Big Data Analysis on Cyber Violence Before and After the Outbreak of COVID-19*
Authors:   Taegu Science University Defense Security Institute, Seo Chang Soo
Published: September 2023

This study analyzes social agendas and changes in perception of cyber violence before and after the outbreak of COVID-19 using news big data. To this end, LDA topic modeling analysis technique was conducted. As a result of the analysis, first, as keywords such as ‘school, student, education, damage, investigation, prevention’ appeared as high-ranking keywords in both periods, it was confirmed that the main target of social interest in cyber violence was in students and school sites. Second, the number of news articles related to cyber violence was about twice as high as in the previous period, and new topics such as fair punishment for cyber violence, its system improvement and legislation, and strengthening digital media communication with the public emerged. Third, as a result of reclassifying all the derived topics into three major categories, the topic dealing with the harmful effects of cyber violence was the most at 43.3%, its prevention and education 30.8%, and cyber violence system and legislation 26.0%. appeared in sequence. Based on these analysis results, implications for the participation and role of all members of society in cyber violence were presented, and limitations of the study and suggestions for follow-up studies were made.
Part I: Selection and Design of Rigid Inclusions
Authors: Smith Miriam
Published: September 2023

The use of rigid inclusions (RIs) as a ground improvement technology has become widely accepted as a cost-effective solution to support structures and embankments on sites with marginal, compressible ground. Rigid inclusion elements are defined as stiff, columnar, slender, vertical, discrete elements typically installed in regularly spaced groups. The term RI can apply to a variety of materials, but the primary focus of this paper is on cementitious, cast-in-place RIs. Thousands of structures throughout the United States are supported on RIs; however, there currently exists no industry-wide standard for the selection, design, and verification of RIs. When evaluating, recommending, and specifying RI ground improvement methods, practitioners should understand the fundamental mechanics involved, as well as the applicability and limitations of RIs. The purpose of this document is to provide commentary guidelines that address general concerns regarding the selection and design of RI systems for ground improvement. The development of this document is the result of a collaborative effort of the Rigid Inclusion Task Force of the Deep Foundations Institute (DFI) Ground Improvement Committee. This document (Part I) describes the fundamental mechanics of RIs for ground improvement and discusses the state-of-the-practice for the design of RIs in the United States. A subsequent document (Part II) will discuss construction and verification considerations of RIs.
Evaluation of the usability of the usability of a medical assistance software applying heuristic rules
Authors: Cervantes López Miriam Janet , Rivera García Guadalupe Esmeralda , Ramírez Vázquez Juan Carlos , Llanes Castillo Arturo , Cruz Casados Jaime
Published: September 2023

The objective of this research is to evaluate the usability of a telemedicine system developed by the authors through the RUP (Rational Unified Process) methodology, since it is a rigorous method whose purpose is to ensure the production of high-quality software. Usability was evaluated by a group of experts using an instrument based on the Nielsen heuristic rules model. The results indicate that the usability is between "very good" and "excellent" so it is very acceptable. However, some items with low value were presented as recognition before I remember, derived from the fact that the links of the system are not easily identified by the user, therefore, derived from the above, the corresponding improvements will be made.
Protected homes, according to the HoNOS scale, in patients with psychiatric disorders,2022
Authors: Lira  Camargo Washington Melvin , Lozano Zanelly Glenn Alberto , Hurtado Concha Aristides , Rivera Gonzales Maria Marleny , Zamalloa Torres Ana Maria , Lira Camargo Zoila Rosa
Published: September 2023

The objective of this research work was to determine the effectiveness of sheltered homes in global functioning according to the HoNOS scale. Methodology, is of a quantitative, quasi-experimental type of research.The research discusses with Herrera et al (2018), finding improvement in functionality in the patients of the Protected Homes. Conclusion, global functioning of the residents improved from 15 points on average in the pre-test of the patients to 5 in the post-test, evidencing an improvement in global functioning.
Challenges of the black communities; the conservation of the Santiago Cayapas river commune
Authors: ARROYO QUIÑONEZ VÍCTOR MANUEL , CANCHINGRE BONE MARÍA ELIZABETH , TENORIO SEGURA SARA ELIZABETH , ESPINOZA ECHEVERRÍA ENMA ELENA
Published: September 2023

This article addresses the case of Afro-descendants in the Rio Santiago Cayapas Commune, Ecuador. Chapter I contextualizes Esmeraldas within the Chocó Biogeographic region. Chapter II analyzes the history from African slaves to the resistance stronghold. Chapter III explores how the resource-rich Rio Santiago Cayapas Commune faces state-driven displacement, logging industry, oil palm agriculture, and mining, prioritizing resource exploitation, impacting local communities. Logging, oil palm, and mining lead to deforestation, territory loss, conflicts, and environmental degradation, straining life in the Rio Santiago Cayapas Commune.
Especies florísticas, arbóreas y arbustivas de importancia melífera del Sur Oriente de Guatemala
Authors: Reyes Donis Ariel Oswaldo , Solórzano Castillo Robertha
Published: September 2023

El conocimiento de las especies florísticas, arbóreas y arbustivas que son visitadas por las abejas representa un impacto significativo para los apicultores de la región Sur Oriente de Guatemala, específicamente, San Manuel Chaparrón y Mataquescuintla del departamento de Jalapa, y Nueva Santa Rosa, del departamento de Santa Rosa; los resultados obtenidos en la investigación permiten establecer las zonas adecuadas por su potencial florístico aprovechable para la producción apícola, basados en las características de disponibilidad y abundancia,  así como de la etología de la abeja la cual permite establecer las plantas de mayor preferencia para estas por su aporte polínico, así mismo se logra determinar en laboratorio la estructura morfométrica de los granos de polen de las diferentes especies de plantas analizadas,  dando como  resultados su descripción botánica y morfología de polen, beneficiando así con este conocimiento a la población de apicultores a través de la generación de un catálogo referencial que les permitirá determinar la procedencia de las mieles que producen en sus apiarios de acuerdo al contenido polínico de estas, además aportará conocimiento de todas las especies que se pueden conservar y aprovecharlas de manera sostenible mitigando el deterioro de sus ecosistemas.
 
Palabras clave: apícola, abeja, especies florísticas, etología, polen.
Propuesta metodológica para la medición de la incidencia de la satisfacción electrónica y la experiencia de flujo en la lealtad a la empresa de servicios públicos
Authors:   Universidad Bolivariana del Ecuador, Alejo Machado Oscar José , Rumbaut Rangel Dayron , Pulla Zambrano Gary Lenin
Published: September 2023

La presente investigación se enfoca en proponer una metodología para medir la incidencia de la satisfacción electrónica y la experiencia de flujo en la lealtad a la empresa de servicios públicos. Se establecen tres hipótesis: la influencia de la satisfacción electrónica en la lealtad hacia la empresa, la experiencia de flujo del cliente indicador de su lealtad y la satisfacción electrónica en términos de retroalimentación bidireccional. A través de una exhaustiva recopilación de datos y la explicación de su análisis estadístico, sumados al planteamiento de una encuesta que responde a estas interrogantes se pretende hallar resultados que respalden las hipótesis planteadas. Además, de demostrar que las variables propuestas cuentan con mutua influencia. Finalmente se busca implementar la presente metodología específicamente a empresas del sector público en su gestión de información para mejorar la retención de clientes y fortalecer la relación con ellos, destacando la importancia de brindar una experiencia satisfactoria y envolvente en sus plataformas digitales.
Análisis de la situación actual del Parque Ecológico Samanes y propuesta para su reactivación turística.
Authors:   Instituto Superior Tecnológico Vicente Rocafuerte, Villamar Plúa Héctor Javier , Flores Sarmiento Roxana
Published: September 2023

Los espacios de las áreas protegidas a nivel mundial en los últimos años han tenido una participación esencial dentro de la actividad turística, más allá de las bondades que nos ofrecen como el contacto con la naturaleza y ese mensaje de preservación y conservación que debemos tener hacia los ecosistemas; dentro del proceso de reactivación turística post pandemia, fueron los primeros sitios o lugares que fueron sugeridos por los expertos y las organizaciones internacionales de salud y recreación que debemos visitar para las características que presentan. En el Ecuador no fue la excepción las áreas naturales apenas se implementaron los protocolos de bioseguridad y se estableció los tiempos de apertura de movilización dentro del territorio ecuatoriano, las áreas protegidas del país empezaron a recibir a los turistas nacionales y extranjeros respectivamente. En ese contexto es necesario que se plantee un análisis situacional del Área Nacional de Recreación Samanes y se pueda presentar una propuesta de reactivación turística para el beneficio de la comunidad y del sector.
Guayarte: Proyecto turístico urbano, impulso de reactivación económica para Guayaquil
Authors:   Instituto Superior Universitario Bolivariano de Tecnología, Arias Domínguez Elizabeth , García Vera Evelyn , Gutierrez Quiroz Carla
Published: September 2023

El presente trabajo de investigación da un panorama del impulso en la economía de los proyectos turísticos urbanos, que brindan una oportunidad para que las localidades fortalezcan sus ingresos y permitan la creación de diferentes emprendimientos en las ciudades. Guayarte, es una plaza turística de Guayaquil que cuenta con diversidad de recursos naturales y culturales, lo que hace que el turismo urbano se desarrolle y proponga una puesta de valor interesante no solo para el turismo local sino también para el internacional. El objetivo principal es identificar las oportunidades de reactivación en espacios urbanos dentro de las ciudades para el Turismo; como parte de la investigación se tomaron datos del Ministerio de Turismo en divisas y encuestas que proponen un análisis FODA para la necesidad de promover más sitios turísticos que dinamicen la reactivación económica local después del COVID-19. Los grandes atractivos del mundo son grandes urbes por lo cual es necesario darles una mirada a estos sitios para trabajarlos y presentarlos como alternativas de la reactivación económica de los destinos.
Uma análise das reflexões promovidas por um estudante de Licenciatura em Matemática em um Vaivém
Authors: Silva Gabriel dos Santos e , Sampel Vanessa Kishi , Trombini Thiago
Published: September 2023

O objetivo deste artigo é apresentar, analisar e discutir trechos do Vaivém de um estudante, evidenciando as reflexões propostas por seus questionamentos. Esse instrumento de avaliação pode ser utilizado em um processo de avaliação como uma prática de investigação e como oportunidade de aprendizagem, dessa forma, apresentamos os aspectos essenciais desse processo. O Vaivém é apresentado como um instrumento de avaliação que pode ser utilizado com o intuito de potencializar as interações entre estudante e professor. Para a análise, foi escolhido o Vaivém de um estudante, participante de uma disciplina de Estágio Supervisionado, em um curso de Licenciatura em Matemática, que realizou perguntas em quase todas as semanas do desenvolvimento da dinâmica com esse instrumento, diferente dos colegas de turma. Os trechos analisados continham questionamentos realizados pelo estudante e foram agrupados em quatro temas, discutidos no decorrer do artigo. Foi possível observar que o Vaivém proporciona momentos de diálogos entre professor e estudante, promovendo um momento formativo de discussão individual e seguro.
Artificial Intelligence In Language Teaching And Learning
Authors: Sotomayor Cantos Karina Fernanda , Varas Giler Rosa Cecibel , Castro Magayanes Israel Eduardo
Published: September 2023

Due to its capacity to simulate human intelligence processes that are managed by machines, particularly computer systems, artificial intelligence (AI) seems to have numerous applications nowadays. From this perspective, this article presents a literature review of the applications of AI in the teaching and learning of languages.  A search of articles was carried out in the Google Scholar database. The method used to review the articles selected is the qualitative research method, specifically content analysis. The study's conclusions show, due to its many advantages, AI is essential in language teaching and learning, being a meaningful tool for both teachers and students.
Development of land value algorithm for establishing an effective cadastral system in Erbil City
Authors: Hawezi Azad , Jassim Mohammed Anwer
Published: September 2023

Land value is one of the economic issues of cadastral systems which is the base of sustainable urban and regional planning. The current paper concerns the estimation of the land values according to many essential factors, which are adopted as ten variables generally. Among these ten parameters, the frontage of the parcel (width), the value of rent, the width of streets, and the level of services represent the most effective parameters that play the main role in process of land price estimation over the Erbil City. The current research introduces the nature of land values and their homogeneous distribution and evaluates the suggested algorithm of land price estimation as one of the efficient factors that affect the national economic situation. The data collection was done for 100 parcels in different locations within the Erbil city boundary, which is being selected to apply the linear multiple regression equation to find the coefficients of the effective factors and to define the correlation between them. The obtained results of the linear multiple regression equation show that the level of existing services and the value of the rent have the maximum effect among these four factors, and they have the maximum correlation with the land price, whereas the road’s width has the minimum correlation among them. The worked-out algorithm for land price estimation (which is a vital issue of the modern cadastral systems), is recommended to be applied by the institutions and organizations concerning the land prices and land taxes task.
Development of communicative competence by means of phraseology of biblical origin
Authors:   Orel State University named after I.S. Turgenev, Bakina A.D.
Published: September 2023

The paper is devoted to the problem of formation and development of phraseological competence as a component of foreign language communicative competence at the senior stage of a language university. This topic is of great relevance in the modern methodology of teaching a foreign language, because in practice very little attention is paid to the study of biblical phraseological units in higher language schools, despite the fact that the study of phraseological units has great practical value and educational linguodidactic potential. The article clarifies the status of the biblical phraseological unit, considers ways of introducing and working out the biblical phraseological lexicon in traditional disciplines of the curriculum and special courses, for example, in English phraseology.
Tinjauan Hukum Hak Atas Kekayaan Intelektual Pada Platform Roblox
Authors: Maulana Muhammad Asrul , Nurcahyani Niken
Published: September 2023

Penelitian ini berfokus kepada hubungan hukum para pihak yang terlibat kedalam kepemilikan hak cipta, antara pengguna dan pemilik platfrom Roblox, serta mengetahui hak dan kewajiban para pihak dalam menentukan perlindungan aset dan kemanfaatan. Jenis penelitian ini menggunakan metode normatif dengan pendekatan perundang-undangan (statute approach) dan pendekatan konseptual (conseptual approach). Hasil penelitian menunjukkan hubungan hukum Kekayaan Intelektual mengenai pelanggaran merek dagang, hak atas layanan Roblox, hak untuk User Generated Content, hak dan model modifikasi, hak audiensi. Selain itu, ditemukan mengenai hubungan hukum antarai pengguna dengan pemilik platform dalam memberikan hak dan lisensi abadi, di seluruh dunia metaverse, bersifat non-eksklusif, dan bebas royalti untuk tujuan menghosting, menyimpan, mentransfer, menerjemahkan, melokalkan, menampilkan secara publik, publik, mereproduksi, memodifikasi, meningkatkan, mendistribusikan, dan diunggah pada Platform dan sehubungan dengan jasa dan sebaliknya.
Shared Leadership, Competencies, and Relationship to Performance: Project Management Perspective
Authors:   Academic Society of Global Business Administration, Shim Woo Jin , Kim Hee-Kyung , Kim Seungchul
Published: September 2023

Systematic accumulation and sharing of experience knowledge is so important that the construction industry is said to be an experience industry. Due to the lack of information sharing on prior and subsequent projects by concealing information by the project execution organization, sufficiently preventable mistakes often recur, resulting in losses due to overlapping trial and error. Due to the nature of the construction industry, knowledge sharing within the organization can be greatly affected by the leadership of the person in charge. For example, in the case of construction projects, similar projects are often carried out at a certain time, and if information on previous projects or successful projects can be shared in a timely manner, subsequent projects will not fail, which will have a significant impact on project results.
Shared leadership has been found to increase organizational performance by affecting organizational innovation and job satisfaction (Hwang Mi-jung et al., 2020). In addition, previous studies have also confirmed the positive effects of shared leadership on individuals and organizations, such as innovative behavior (Song Jung-soo, 2019). In order to increase the efficiency of the low-productivity construction industry and to have continuous competitiveness, this paper suggests the need to increase the level of shared leadership of organizational members to enhance project management personal competencies. By verifying how organizational members' capabilities affect corporate performance through shared leadership, and proving that shared leadership within the organization is an important factor in controlling project performance relationships, we aim to derive meaningful implications for improving construction companies' productivity. The results of this empirical study suggest that in order for construction companies to be continuously competitive in the changing industrial ecosystem and corporate paradigm of the Fourth Industrial Revolution, it is necessary to enhance project management capabilities by increasing the level of shared leadership of organizational members. In addition, we would like to derive meaningful strategic implications for the project management of Korean construction companies.
Klomifen sitrata dirençli polikistik over sendromunda ikincil tedavi olarak laparoskopik over drilling ve gonadotropinlerle ovulasyon indüksiyonunun etkinliğinin karşılaştırılması
Authors: KALI Zercan , TANILIR Fatma , KIRICI Pınar , DEĞER Uğur , ÇILGIN Hasan
Published: September 2023

Amaç: Klomifen sitrata dirençli polikistik over sendromlu infertil hastaların ikinci basamak tedavisinde; laparoskopik ovaryan drilling ile gonadotropinlerin etkinlik ve gebelik sonuçlarını karşılaştırmayı amaçladık.

Gereç ve Yöntem: Haziran 2017 ile Aralık 2019 tarihleri arasında, polikistik over sendromlu toplam 145 klomifen sitrata dirençli gönüllü katılımcı çalışmaya dahil edildi. Hastalar iki gruba ayrıldı ; 56 hastaya laparoskopik over drilling uygulandı , 89 hastaya ise gonadotropin ile indüksiyon yapıldı. Her 2 grup laboratuar parametreleri ve gebelik sonuçları açısından kıyaslanarak değerlendirildi.

Bulgular: Her iki grupta yaş, vücut kitle indeksi ve infertilite süresi benzerdi (p=0.35, p=0.56, p=0.067). Gruplar arasında açlık glukoz ve insülin düzeyleri, hormon ve androjen profili, antral folikül sayısı, hemoglobin A1c düzeyi (Hba1c), hirsutizm skoru, LH/FSH oranı ve anti-müllerian hormon (AMH) düzeyleri açısından fark bulunmadı. AMH, antral folikül sayısı (AFC), adrojen indeksleri ve LH/FSH oranları, altı aylık tedaviden sonra LOD grubunda daha düşüktü (sırasıyla, p=0.011, p
Timescale of Stellar Feedback-driven Turbulence in the ISM: A Deep Dive into UGC 4305
Authors: Hunter Laura Congreve , van Zee Liese , McQuinn Kristen B. W. , Cohen Roger E. , Markham Madison , Dolphin Andrew E.
Published: September 2023

Understanding the interplay of stellar feedback and turbulence in the interstellar medium (ISM) is essential to modeling the evolution of galaxies. To determine the timescales over which stellar feedback drives turbulence in the ISM, we performed a spatially resolved, multiwavelength study of the nearby star-forming dwarf galaxy UGC 4305. As indicators of turbulence on local scales (400 pc), we utilized ionized gas velocity dispersion derived from IFU Hα observations and atomic gas velocity dispersion and energy surface densities derived from H i synthesis observations with the Very Large Array. These indicators of turbulence were tested against star formation histories over the past 560 Myr derived from color–magnitude diagrams using Spearman’s rank correlation coefficient. The strongest correlation identified at the 400 pc scale is between measures of H i turbulence and star formation 70–140 Myr ago. We repeated our analysis of UGC 4305's current turbulence and past star formation activity on multiple physical scales (∼560 and 800 pc) to determine whether there are indications of changes in the correlation timescale with changes to the physical scale. No notable correlations were found at larger physical scales, emphasizing the importance of analyzing star formation-driven turbulence as a local phenomenon.
Hydrodynamics and Survivability during Post-main-sequence Planetary Engulfment
Authors: Yarza Ricardo , Razo-López Naela B. , Murguia-Berthier Ariadna , Everson Rosa Wallace , Antoni Andrea , MacLeod Morgan , Soares-Furtado Melinda , Lee Dongwook , Ramirez-Ruiz Enrico
Published: September 2023

The engulfment of substellar bodies (SBs), such as brown dwarfs and planets, by giant stars is a possible explanation for rapidly rotating giants, lithium-rich giants, and the presence of SBs in close orbits around subdwarfs and white dwarfs. We perform three-dimensional hydrodynamical simulations of the flow in the vicinity of an engulfed SB. We model the SB as a rigid body with a reflective surface because it cannot accrete. This reflective boundary changes the flow morphology to resemble that of engulfed compact objects with outflows. We measure the drag coefficients for the ram-pressure and gravitational drag forces acting on the SB, and use them to integrate its trajectory inside the star. We find that engulfment can increase the luminosity of a 1 M
⊙ star by up to a few orders of magnitude. The time for the star to return to its original luminosity is up to a few thousand years when the star has evolved to ≈10 R
⊙ and up to a few decades at the tip of the red giant branch (RGB). No SBs can eject the envelope of a 1 M
⊙ star before it evolves to ≈10 R
⊙ if the orbit of the SB is the only energy source contributing to the ejection. In contrast, SBs as small as ≈10 M
Jup can eject the envelope at the tip of the RGB. The numerical framework we introduce here can be used to study planetary engulfment in a simplified setting that captures the physics of the flow at the scale of the SB.
Three-dimensional Simulations of Massive Stars. II. Age Dependence
Authors: Vanon R. , Edelmann P. V. F. , Ratnasingam R. P. , Varghese A. , Rogers T. M.
Published: September 2023

We present 3D full star simulations, reaching up to 90% of the total stellar radius, for three 7 M
⊙ stars of different ages: zero-age main sequence (ZAMS), mid–main sequence (midMS), and terminal-age main sequence (TAMS). A comparison with several theoretical prescriptions shows that the generation spectra for all three ages are dominated by convective plumes. Two distinct overshooting layers are observed, with most plumes stopped within the layer situated directly above the convective boundary; overshooting to the second, deeper layer becomes progressively more infrequent with increasing stellar age. Internal gravity wave (IGW) propagation is significantly impacted in the midMS and TAMS models as a result of some IGWs getting trapped within their Brunt–Väisälä frequency spikes. A fundamental change in the wave structure across radius is also observed, driven by the effect of density stratification on IGW propagation causing waves to become evanescent within the radiative zone, with older stars being affected more strongly. We find that the steepness of the frequency spectrum at the surface increases from ZAMS to the older models, with older stars also showing more modes in their spectra.
Discovery of a Variable Multiphase Outflow in the X-Ray-emitting Tidal Disruption Event ASASSN-20qc
Authors: Kosec P. , Pasham D. , Kara E. , Tombesi F.
Published: September 2023

Tidal disruption events (TDEs) are exotic transients that can lead to temporary super-Eddington accretion onto a supermassive black hole. Such an accretion mode is naturally expected to result in powerful outflows of ionized matter. However, to date such an outflow has only been directly detected in the X-ray band in a single TDE, ASASSN-14li. This outflow has a low velocity of just a few 100 km s−1, although there is also evidence for a second, ultrafast phase. Here we present the detection of a low-velocity outflow in a second TDE, ASASSN-20qc. The high-resolution X-ray spectrum reveals an array of narrow absorption lines, each blueshifted by a few 100 km s−1, which cannot be described by a single photoionization phase. For the first time, we confirm the multiphase nature of a TDE outflow, with at least two phases and two distinct velocity components. One highly ionized phase is outflowing at

910

−
80

+
90

km s−1, while a lower ionization component is blueshifted by

400

−
120

+
100

km s−1. We perform a time-resolved analysis of the X-ray spectrum and detect that, surprisingly, the ionization parameter of the mildly ionized absorber strongly varies over the course of a single 60 ks observation, indicating that its distance from the black hole may be as low as 400 gravitational radii. We discuss these findings in the context of TDEs and compare this newly detected outflow with that of ASASSN-14li.