bluuebunny/crossref_metadata_2025 huggingface dataset:
Dos instrumentos para la gobernabilidad. Dos concepciones encontradas.
Authors: Pantoja Morán David
Published: June 2023

En el presente texto el autor señala que desde diversas perspectivas se ha concluido que los primeros años de vida independiente de nuestro país, se caracterizaron por el gran número de iniciativas fallidas para darle gobernabilidad a un país heterogéneo culturalmente, desarticulado geográficamente, profundamente desigual económica y socialmente y asediado por un entorno internacional adverso y ambicioso de sus riquezas y territorio. Y continúa diciendo que la idea de emitir una constitución, que no sólo dotara de legitimidad al régimen emergente, sino que también fuera un obstáculo que protegiera contra el despotismo, estuvo siempre presente desde el inicio de esta trascendente etapa histórica de México
La relación entre homicidio doloso y otros delitos de alto impacto. México 2018-2019
Authors: Márquez Muñoz Jorge Federico , González Ulloa Aguirre Pablo Armando
Published: June 2023

Este texto busca encontrar la relación entre los homicidios dolosos y delitos de alto impacto, para ello, se establecen una serie de variables que permitirán encontrar esta relación, a su vez se toma en cuenta la estrategia del gobierno contra el crimen organizado iniciada durante el sexenio del Presidente Felipe Calderón, el cual muestra un aumento importante en los homicidios dolosos y es fundamental para explicar su relación con los delitos en el país. Este estudio viene acompañado de una serie de tablas cuyo índice principal es el de “violencia global”, esto para reforzar los argumentos y analizar de manera cuantitativa los resultados de la relación entre los homicidios dolosos y delitos de alto impacto en cada estado del país
Despertar a la historia, praxis política del populismo latinoamericano
Authors: Arellano Toledo Marco
Published: June 2023

Este trabajo explora la idea “despertar a la historia” como un marco analítico de observación para la praxis política del ideario populista, además de que realiza un repaso de cómo la desafección democrática facilita la irrupción del populismo como un fenómeno complejo que a su vez, utiliza las dimensiones estratégica, ideológica y discursiva para convertirse en una opción política con un potente apoyo ciudadano. Finalmente se revisan los efectos políticos que los populismos traen a los regímenes democráticos
Partidos diferentes y transformaciones similares: MORENA y el Partido Justicialista
Authors: Marcuzzi Mayo Rosa María
Published: June 2023

El presente análisis compara el Movimiento de Regeneración Nacional de México y el Partido Justicialista de Argentina como partidos presidenciales sujetos a transformaciones internas en el ejercicio del gobierno. El estudio se orienta por la teoría de la organización, el enfoque del nuevo institucionalismo y los estudios empíricos sobre los partidos políticos latinoamericanos y sostiene hipotéticamente que siendo partidos-movimientos distintos en clivajes políticos diferentes, presentaron cambios similares manifestados en el creciente activismo político interno y en la progresiva descentralización en la selección de las candidaturas a los cargos públicos electivos
Las decisiones estratégicas de la estabilidad del autoritarismo competitivo
Authors: Riquelme Alcantar María Belem
Published: June 2023

El objetivo es proponer un modelo analítico que dé cuenta de las decisiones estratégicas de los actores del régimen de tipo híbrido llamado autoritarismo competitivo centrado en la arena electoral. Con base en la teoría de la elección racional se identifican los actores, preferencias y estrategias; así como, el resultado que desemboca en una condición de estabilidad. El axioma racional y la narrativa analítica explican la causalidad del comportamiento de los incumbents que utilizan las elecciones democráticas para legitimarse en el poder y después controlar y subvertir las instituciones. La teoría de juegos es el método que ejemplifica la función de resultados de los jugadores con referencia a dos casos empíricos. La estabilidad se demuestra mediante un modelo que simula un ciclo electoral en un país con reglas democráticas, pero con un gobierno que elije estrategias autoritarias
¿Explicar peras a través del comportamiento de las manzanas? Estacionariedad y procesos generadores de datos en series de tiempo
Authors: Atilano-Robles Edwin
Published: June 2023

Las series de tiempo que se utilizan en ciencia política tienden a mostrar una fuerte dependencia de sus valores previos. Esto implica que, al incorporarlas en modelos estadísticos, es sencillo que se viole el supuesto de correlación serial. No obstante, al utilizar procesos temporales estacionarios es posible solventar dicha problemática. Esta investigación muestra, a través de simulaciones Monte Carlo, los efectos de especificar modelos estadísticos que incluyen variables no estacionarias. Los diferentes procesos generadores de datos apuntan a que, si las variables no son estacionarias, es más probable que se produzcan inferencias espurias. En consecuencia, se recomienda evaluar el comportamiento de nuestras variables y, de ser el caso, transformarlas para que se comporten de forma estacionaria
Amador Bech, Julio (2020). Ensayos de hermenéutica. Perspectivas para una teoría de la interpretación. México: UNAM
Authors: Lince Campillo Rosa María
Published: June 2023

No disponible
Image Deblurring using Deep Learning
Authors: Reddy Ainala Vinay Kumar
Published: June 2023

Abstract: Image deblurring is a most considered problem in low-level computer vision with an objective to recover a high resolution image from a blurred input image. It is a mandatory task in image processing and has been studied for several years which is used in reconstruction of images which are blurred due to various reasons. Particularly in these years, deep learning approaches have shown great promises in various image restoration tasks, which includes image deblurring. Among these, DBSRCNN is a powerful deep learning approach that has been used for super-resolution and image deblurring. In this model developed we are going to implement De Blurring Super Resolution Convolutional Neural Network (DBSRCNN) for blurred reconstruction. The proposed method achieves superior results in both quantitative and qualitative evaluations, depicting its effectiveness in image deblurring tasks.
Drone Detection and Classification Using Music (Multiple Signal Classification) Algorithm
Authors: Sahithi N.
Published: June 2023

Abstract: The rapid augmentation of drones in different sectors has raised concerns regarding privacy, security, and safety. This project proposes a novel drone detection and classification approach by integrating the YOLOv5 framework with a MUSICbased algorithm to address the above issues. The aim is to postulate an efficient and accurate model capable of identifying and classifying different types of drones in real time. The project leverages the YOLOv5 architecture incorporated with the MUSIC algorithm for superior speed and accuracy. By training YOLOv5 on a large dataset of drone images, the model can learn to identify visual features and specific characteristics unique to drones, permitting effective detection and classification
Utilization of Waste Material in Road Sub Grade for Stabilization of Soil
Authors: Chougale Prof. V. C.
Published: June 2023

Abstract: Soil stabilization is a quite common process for nearly all the building projects. Broadly, all kinds of soil stabilization may be classified into two groups, i.e. mechanical stabilization and chemical stabilization. In mechanical stabilization, the grading of a soil is modified by mixing it with other sorts of soils of various grades. By doing so, a compacted soil mass may be achieved. On the opposite hand, chemical stabilization is related to the modification of soil properties by the addition of chemically active materials. In soil stabilization, it's important to grasp the material properties involved within the mixture and also the outcome after mixing.
A Study on Strength Characteristics of Fibre Reinforced Concrete with Partial Replacement of Quarry Dust as Fine Aggregate with Acid Curing
Authors: Nagaraju Y.G.S
Published: June 2023

Abstract: The rapid growth of construction technology and the increasing rate of construction have raised concerns about the depletion of natural resources, particularly sand extracted from river beds. The excessive utilization of sand has led to environmental issues and a decline in its availability. Moreover, conventional concrete derived from sand exhibits low tensile strength and limited resistance to cracking.In response, researchers and scientists have been exploring alternative materials that are environmentally friendly, as well as admixtures that enhance concrete properties. Quarry dust has emerged as a promising substitute for sand, possessing similar characteristics to those obtained from stone beds. Additionally, nylon fiber has been identified as a suitable admixture to improve the tensile strength of concrete.This project aims to partially replace sand with quarry dust at varying percentages (10%, 20%, and 30% of sand content) and incorporate 6mm nylon fiber at a dosage of 0.1% by weight of cement. The study focuses on concrete grade M25, subjected to different concentrations (1%, 2%, and 3%) of hydrochloric acid (HCL) during the curing period of 7, 14, and 28 days. The fiber reinforced concrete (FRC) specimens cured in water are compared with those cured in varying concentrations of HCL. The evaluation of concrete properties includes compressive strength tests at 7, 14, and 28 days of curing, as well as a flexural strength test conducted after 28 days of curing.
Using Mixed Reality for Iterative Sketching and Prototyping in Product Design
Authors: Chauhan Vanshika
Published: June 2023

Abstract: Mixed reality (MR) integrates virtual objects and environments with the real-world using sensors, cameras, and displays. Unlike virtual reality, which is completely immersive, MR allows users to interact with virtual objects while still being aware of the physical environment. This technology can be applied to education, healthcare, entertainment, and product design. MR can simulate user experiences, allowing designers to test the usability and functionality of their designs before they are manufactured. In education, MR provides immersive learning experiences that allow students to explore and interact with virtual objects in a real-world context. For example, MR can create interactive educational simulations that enable students to explore complex scientific concepts or historical events. In healthcare, MR simulates medical procedures, allowing medical professionals to practice and improve their skills in a safe and controlled environment. MR can also be used for patient education, allowing patients to visualize and better understand medical conditions and procedures. Overall, MR offers a unique opportunity to integrate virtual and real-world environments, providing a powerful tool for various industries. A visual interface is a computerized representation of a user interface that may or may not correspond to the physical interface controller. Virtual interface designs are static in nature, representing signals used to connect design modules and physical products. With the advent of the internet and its technologies, newer possibilities for remote access to technology have emerged, such as the concept of virtual reality. Virtual reality uses graphical displays to represent objects or scenes in three dimensions, making it easier for users to visualize real-world objects, scenes, or processes. This technology combines visual representations of 3D elements and objects, such as polygons and surfaces, to create a computer-generated scene that resembles a real environment. This scene is known as virtual reality, and it is often projected as what is popularly known as a "virtual world.
Communication for Blind Individual Using CNN and Text Summarization
Authors: Reddy N. Siddhartha
Published: June 2023

Abstract: In order to bridge the communication gap between the deaf and the dumb, sign language is a special kind of communication language. There are several signs in each sign language with differences in palm size, shape, motion, and positioning of the hand, all of which are important components of each sign. Many different researchers have proposed numerous applications. Utilising deep learning principles, several notable advancements have been made in these applications during the last few years. Throughout this survey, we evaluated various hand gesture detection applications utilising recent deep learning theories. Despite significant advancements in hand gesture detection accuracy, there are still a number of issues that need to be handled. In our proposal,
Design Analysis Approach for Hotel Booking Cancellation Prediction
Authors: Kumar Ayush
Published: June 2023

Abstract: Hotel managers find it beneficial to predict hotel booking cancellations as it enables them to enhance room inventory management, pricing strategies, and customer satisfaction by proactively addressing potential problems. In this study, we present a machine learning-centered method for forecasting hotel booking cancellations. Overall, our proposed approach will equip hotel managers with a robust tool for predicting hotel booking cancellations and a deeper understanding of the factors influencing them. This, in turn, will enable data- driven decision making to optimize room inventory, pricing strategies, enhance customer satisfaction, and ultimately boost revenue
Voice Controlled Robot using Node-Mcu
Authors: Kadam Ms. Vaishnavi
Published: June 2023

Abstract: The development of voice-controlled robots has gained significant attention due to their potential to improve humanrobot interaction. In this project, we propose the design and development of a voice-controlled robot that can perform various tasks based on voice commands. The robot is designed to respond to voice commands and execute various actions such as moving, turning, and picking up objects
ERP System
Authors: Bhatt Megha , Srishti
Published: June 2023

Abstract: This research paper tries to study of detailed enterprise resource planning (ERP) portal that enables the management of an employee’s payroll and their day-to-day activities. The research methodology involved a thorough analysis of the existing system in the market and in-depth study of the user requirements. Based on the findings, a user-friendly interactive interface was designed, and the system was developed using the latest technologies and programming languages This paper tried to study the detailed ERP system implementation process and current trends in ERP software, and identifies the advantages and limitations and tried to provide solutions of tackled problems. The system analysis shows that the proposed solution provides significant benefits compare to traditional ERP systems, including increased security and real-time tracking transactions Future scope of this research includes the development and implementation of proposed system in real-world scenarios
Modelling of Bi-Directional Buck-Boost Converter for Electric Vehicle
Authors: Samyuktha T. , Ganesan S.
Published: June 2023

Abstract: The rapid growth of electric vehicles (EVs) has necessitated the development of efficient and versatile energy storage systems. In this study, we present the modelling and implementation of a switching bi-directional buck-boost converter based on electric vehicle hybrid energy storage. The proposed converter offers a flexible and reliable solution for managing energy flow between different storage elements in an EV, such as batteries and ultra-capacitors. First, a comprehensive mathematical model of the converter is developed, taking into account the dynamic behaviour of the energy storage components. This model enables us to analyse and optimize the converter's performance in terms of efficiency, voltage regulation, and power delivery capabilities. Furthermore, simulation studies are conducted to validate the accuracy of the model and assess the converter's performance under various operating conditions. Based on the modelling and simulation results, a practical implementation of the converter is carried out using high-quality electronic components. The design considerations, including component selection, circuit layout, and control strategy, are discussed in detail. The implemented converter is then evaluated experimentally to validate its performance and verify the effectiveness of the proposed modelling approach. The results demonstrate that the switching bidirectional buck-boost converter effectively manages the energy flow between the different storage elements in the hybrid energy storage system. It achieves high conversion efficiency, voltage regulation, and power transfer capabilities, enhancing the overall performance and range of electric vehicles. The developed model and implementation provide valuable insights for the design and optimization of similar converter topologies for electric vehicle applications. Overall, this study contributes to the advancement of energy storage systems in electric vehicles, facilitating the adoption of sustainable and efficient transportation solutions in the future
ANALISIS PENGARUH KINERJA KEUANGAN DAN NILAI TUKAR TERHADAP HARGA SAHAM PADA PERUSAHAAN MANUFAKTUR
Authors: Ashwa Anya Peditha
Published: June 2023

The purpose of this study is to analyze the effect of financial performance and exchange rates on stock prices in manufacturing companies listed on the Indonesia Stock Exchange in 2018-2021. The method used in this study is multiple linear regression analysis on panel data using the Eviews 9 analysis tool and using a quantitative approach sourced from IDX data used by 95 companies and 3 manufacturing industry sectors. The results of this study are based on the F test that the variables CR, ROE, DER, PER & exchange rates have a joint effect on stock prices. Whereas in the t test (partial) the variable Return on equity (ROE) affects stock prices. This shows that CR has a positive and insignificant effect on stock prices, ROE & DER have a significant positive effect on stock prices, then PER & Exchange rates have a negative and insignificant effect so that it will have a positive impact on manufacturing companies where these companies are able to reduce the impact caused by the depreciation of the Indonesian exchange rate.
COVID-19 INFODEMIC – UNDERSTANDING CONTENT FEATURES IN DETECTING FAKE NEWS USING A MACHINE LEARNING APPROACH
Authors: (Corresponding Author) Vimala Balakrishnan , Zing Hii Lee , Laporte Eric
Published: June 2023

The use of content features, particularly textual and linguistic for fake news detection is under-researched, despite empirical evidence showing the features could contribute to differentiating real and fake news. To this end, this study investigates a selection of content features such as word bigrams, part of speech distribution etc. to improve fake news detection. We performed a series of experiments on a new dataset gathered during the COVID-19 pandemic using Decision Tree, K-Nearest Neighbor, Logistic Regression, Support Vector Machine and Random Forest. Random Forest yielded the best results, followed closely by Support Vector Machine, across all setups. In general, both the textual and linguistic features were found to improve fake news detection when used separately, however, combining them into a single model did not improve the detection significantly. Differences were also noted between the use of bigrams and part of speech tags. The study shows that textual and linguistic features can be used successfully in detecting fake news using the traditional machine learning approach as opposed to deep learning.
CLASSIFICATION OF GENDER BASED FOCUS MAPPING FOR EPILEPSY PATIENTS USING ROUGH SETS
Authors: B Muthukumar , S Murugan , (Corresponding Author) Bharathi B
Published: June 2023

The objective of this work is to classify the mind mapping decisions “like”, “dislike” and “neutral” in Epilepsy patients by applying the concepts of rough sets. An effective rough set-based classification of mental status in epilepsy patients has been computed using the features such as meditation, familiarity, theta, attention, appreciation, beta, mental effort, delta, alpha and gamma. The significance of features is considered as conditional attributes and the expected mood is represented as decision attributes. To analyze the impact of the features, the cardinality and rough set-based approximation are computed. Grey Relational Analysis (GRA) algorithm is applied for classification of patient decision is either like or dislike or neutral. The experimental results on classification of mind mapping of epilepsy patients using rough set-based approximation yields 95% accuracy.
XML CLUSTERING FRAMEWORK BASED ON DOCUMENT CONTENT AND STRUCTURE IN A HETEROGENEOUS DIGITAL LIBRARY
Authors: Samadi Nafisse , (Corresponding Author) Sri Devi Ravana
Published: June 2023

As textually published information is increasing in digital libraries, efficient retrieval methods are required. Textual documents in a digital library are available in various structures and contents. It is possible to represent these documents with hierarchical levels of granularity when these are organized in XML structure to improve precision by focused retrieval. By this means, contextual elements of each document can be retrieved from a known structure. One solution for retrieving these elements is clustering from a combination of Content and Structural similarities. To achieve this, a novel two-level clustering framework based on Content and Structure is proposed. The framework decomposes a document into meaningful structural units and analyzes all its rich text in its own structure. The quality of the proposed framework was experimented on a heterogeneous XML document collection, having varieties of data sources, structures, and content, be represented as a sample of a real digital library. This collection was made with capabilities to test all of our objectives. The clustering results were evaluated by the Entropy criterion. Finally, the Content and Structure clustering was compared with the usual clustering based on the Content Only to prove the efficacy of considering structural features against the existing Content Only methods in the retrieval process. The total Entropy results of the two-level Content and Structural clustering are almost twice better than the Content Only clustering approach. Consequently, the proposed framework has the ability to improve Information Retrieval systems from two points of view: i) considering the structural aspect of text-rich documents in the retrieval process, and ii) replacing the document-level retrieval with the element-level retrieval.
Cosmovisão do povo Mapuche e sua troca cultural
Authors: Muñoz Estela Socías , González-Pérez Teresa
Published: June 2023

Esta pesquisa se baseia na visão de mundo do povo Mapuche e sua religião e na importância da relação do homem com tudo: a terra, os pontos cardeais, o sol, a lua ou as estrelas; por sua vez, sua cultura gastronômica e respeito à Mãe Terra e seu intercâmbio cultural, considerando sua expansão para os pampas argentinos e a intensificação do comércio entre eles e os crioulos. Mostra-se que este povo é e sempre foi um dos grupos étnicos mais importantes do país, tanto pelo seu peso sócio demográfico, como pelo seu sentido de identidade cultural, embora quando eles vão para a cidade, muitos deles têm vindo a perdê-lo. A metodologia é de natureza histórica, recorrendo a fontes primárias e secundárias, sobretudo em pesquisas e publicações de historiadores que se dedicam ao estudo da sua identidade. Por fim, será possível concluir se a língua persiste, tanto nos jovens quanto nos adultos e a importância do intercâmbio cultural.
jogo digital como recurso didático para problematizar espaços de educação ambiental
Authors: Pereira Giselia Antunes , Porto Humberto Cenachi , Aguiar Paula Alves de
Published: June 2023

A pesquisa etnográfica aqui descrita originou um jogo didático digital a partir da investigação de algumas práticas de educação ambiental desenvolvidas no Instituto Federal de Santa Catarina campus São José - IFSC/SJ. O jogo foi criado a partir do estudo dos projetos de educação ambiental desenvolvidos na instituição e posteriormente selecionados, de observações realizadas no campus e de entrevistas com alguns participantes das propostas educativas. Dentre as diferentes ações e espaços de educação ambiental realizadas no IFSC/SJ, optou-se por apresentar no jogo quatro delas, por estarem relacionadas a diferentes espaços, contextos, sujeitos e níveis de ensino. Almeja-se que o jogo didático “O IFSC/SJ faz educação ambiental?”, apresentado neste estudo, seja atualizado constantemente, para dar visibilidade a outras práticas de educação ambiental realizadas na instituição. O jogo didático digital mostrou-se como uma forma lúdica de ensino e aprendizado, tornando acessíveis informações a respeito dos elementos que compõem os ambientes previamente selecionados, bem como os projetos a estes atrelados.
Caracterización molecular de los tumores de páncreas y vías biliares
Authors: G Barroso , R García Carbonero , G Jarchum
Published: June 2023

INTRODUCCIÓN: Los tumores de páncreas y vías biliares en general se diagnostican en una etapaavanzada, cuando las opciones curativas son escasas, lo cual se traduce a altas tasas de mortalidad. Laresección completa es la única cura, pero sólo un pequeño porcentaje de pacientes presentan enfermedaden estadio temprano al diagnóstico. Por otro lado, entre los pacientes que se someten a cirugía curativa,tasas de recurrencia son extremadamente altas. En el momento actual no se dispone de un tratamientosistémico claramente efectivo más allá de la primera línea y esto hace que nuevos estudios de investigaciónrelacionados a la biología molecular que pueda definir nuevas líneas de tratamiento dirigido sea unanecesidad de urgencia en este contexto.OBJETIVO: Determinar la frecuencia de las diferentes alteraciones moleculares en tumores de vía biliar ypáncreas y estudiar si existe relación entre la mutación hallada y la sobrevida de los pacientes.Evaluar el factor pronóstico de las variables de laboratorio al diagnóstico.MATERIAL Y MÉTODOS: Estudio retrospectivo y descriptivo, en el que se incluyeron 110 pacientes condiagnóstico de tumores de vías biliares o pancreáticos, evaluados por el equipo de la unidad de tumoresdigestivos del Hospital 12 de octubre entre febrero 2019 hasta el mes de julio del 2020.RESULTADOS: Se incluyeron 64 pacientes con diagnóstico de tumor de páncreas y 46 con tumores devías biliares, la edad media fue de 61 años, el 43% de los pacientes se diagnosticó en estadio IV de laenfermedad, la sobrevida para los pacientes con tumores de páncreas en el periodo metastásico fue de 20meses, 25 meses para los pacientes con tumores biliares. P53, K- ras, CDKN2A y SMAD fueron lasmutaciones más frecuentemente encontradas en tumores de páncreas, ARID1A, FGFR e IDH encolangiocarcinoma intrahepático, P53 k-ras y CDKN2A en tumores extrahepáticos. Al investigar acerca defactores pronósticos, la hemoglobina y albúmina alterada al diagnóstico fueron parámetros con resultadosestadísticamente significativos en relación con la sobrevida.CONCLUSIONES: Los avances recientes han aclarado las características genéticas y moleculares detumores biliopancreáticos y ofrecen el potencial para el diagnóstico de base molecular de los mismos. Sinembargo, la aplicabilidad clínica de la mayoría de los marcadores existentes es limitada debido a una faltade sensibilidad y especificidad adecuadas; se requieren estudios adicionales para validar y confirmar lautilidad clínica de algunos marcadores prometedores. Los valores de hemoglobina y albumina aldiagnóstico podrían ser utilizados como factores pronósticos en pacientes con tumores pancreáticos.
Medicina de Precisión para la alergia: el nuevo paradigma del siglo XXI
Authors: R Dos Santos Costa , A A Souza da Cruz Filho
Published: June 2023

Individuos con manifestaciones alérgicas similares puede tener subtipos de la enfermedad comoconsecuencia de la activación de diferentes vías moleculares. En este contexto surge la medicina deprecisión, un campo de la ciência que integra big data a través de algoritmos de inteligencia artificial. Aquírepasamos las principales estrategias y limitaciones de la Medicina de Precisión para lograr manejopersonalizado del paciente alérgico. En este contexto, se destaca la importancia de caracterizar los endotiposde las alergias, mediante el análisis ómicos (Genómica, proteómica, metabolómica, etc.) integrados condatos de exposición ambiental, como polución, dieta y el estrés. Se espera que esta ciencia pueda contribuira un diagnóstico más preciso, al desarrollo de nuevos fármacos e individualización efectiva del tratamiento.
Ciencia con conciencia y compromiso
Authors: S Esther Fontana
Published: June 2023

Estimadas Autoridades de la Universidad Católica de Córdoba, de la Facultad de Cienciasde la Salud y de la Clínica Universitaria Reina Fabiola.Estimados Investigadores, Investigadoras, Docentes, Profesionales de la Salud yEstudiantes.¡Muy buenas tardes!Primeramente, agradezco la invitación que me hicieran para compartir con ustedes estasJornadas de Investigación Científica que se llevan adelante en la Clínica Universitaria ReinaFabiola.En estas palabras de apertura no voy a poder dejar de referirme al contexto mundial quecomenzó a interpelarnos como humanidad a finales del 2019, y que con la declaración de lapandemia en marzo de 2020 nos sumergió a los investigadores y a las investigadoras en labúsqueda de respuestas frente a nuevas problemáticas que comenzaban a surgir, no solo en lo querespecta a la salud, sino también a lo social, económico, cultural, político y ambiental, entre otrostantos aspectos (Fontana, 2021).Así se presentaron nuevos desafíos, surgieron nuevas preguntas por responder, y nuevosescenarios comenzaron a vislumbrarse.Esta pandemia generó una crisis multidimensional dejando al descubierto lasdesigualdades, los desequilibrios y las asimetrías existentes en el mundo. En este sentido losinvestigadores y las investigadoras de todas las disciplinas tuvimos, y tenemos aún, la complejatarea de alcanzar respuestas más justas para un mundo más equitativo (Fontana, 2021).
Prenatal diagnosis of Persistent Left Superior Vena Cava draining into a cervical hemangioma: Case report and literature report
Authors: Herrera Mauricio , Rebolledo Mario , Singh Mandeep , Torres-Montañez Nicolás , Castano-Toro Yaisa , Florez Julieth
Published: June 2023

Introduction Vascular anomalies are alterations in angiogenesis and
endothelial proliferation, respectively, that can generate not only
aesthetic problems, but also functional disorders in fetuses and
newborns. Other alterations in the regression of blood vessels can
generate vascular malformations such as persistent left superior vena
cava. Case report We present the case of a
FOOD-INDUCED IMMEDIATE RESPONSE OF THE ESOPHAGUS (FIRE) IN PEDIATRIC EOSINOPHILIC ESOPHAGITIS
Authors: Koken Gizem , Karagol Hacer Ertoy , Terece Sinem Polat , Cavdar Zeynep , Cetin Kenan , Gurkan Odul , Sari Sinan , Dalgic Buket , Bakirtas Arzu
Published: June 2023

Background: Food-induced immediate response of the esophagus
(FIRE) is a new phenomenon that has been described in eosinophilic
esophagitis (EoE) patients. It is suspected when unpleasant symptoms
occur suddenly on contact of the triggering food with the esophageal
surface and recur with repeated exposures. It can often be mistaken for
pollen-food allergy syndrome (PFAS) and solid food dysphagia. Data on
FIRE is limited to one survey study and case reports, and there are no
screening studies conducted on either adults or children with EoE. In
this study, we aimed to screen children aged ≥7 years old with EoE for
FIRE. Methods: Demographic data were collected from medical
records. A questionnaire about FIRE was applied to all participants.
Skin prick tests (SPTs) were done on suspected patients to identify the
triggering foods. FIRE is defined as suitable clinical symptoms with
suspected food allergen exposure. Results: Seventy-eight patients
(74.4% male, median age: 13.5 years) were included. Unpleasant and
recurrent symptoms distinct from dysphagia with specific foods were
reported in %16.7 of the patients, all of whom had concomitant allergic
rhinitis (AR). The symptoms described by almost all patients were
oropharyngeal itching and tingling (PFAS: 15.3%) excluding only one
patient reporting retrosternal narrowing and pressure after specific
food consumption (FIRE: 1.2%). Conclusions: Although definitive
conclusions regarding the true prevalence of FIRE cannot be made, it
does not seem to be common as PFAS. However, it deserves questioning
particularly in the presence of concurrent AR and/or PFAS in children
with EoE.
Rapid Access to Free Phenols by Photocatalytic Acceptorless Dehydrogenation of Cyclohexanones at Room Temperature
Authors: Min Lin , Lin Jia-Ni , Shu Wei
Published: June 2023

Phenols are ubiquitous substructures in natural products and bioactive
compounds. However, practical methods for the direct construction of
phenols under mild conditions remains challenging. Herein, a
photocatalytic acceptorless dehydrogenative aro-matization of
cyclohexanones or cyclohexenones at room temperature has been developed.
The reaction features the visible-light and cobalt co-catalyzed
sequential dehydrogenation of in-situ formed enol silyl ethers, which
are regarded as a challenging process. This operationally simple method
enables the synthesis of a series of phenols with diverse substitution
patterns from cyclohexanones or cyclohexenones. Moreover, diverse
substituted 1,2-, 1,3-, and 1,4-benzenediols were obtained from
cyclo-hexanediones, providing a general and straightforward method for
the synthesis of phenols from simple starting materials un-der mild
conditions
RBF Neural Network-based Adaptive PID Controller for Active Suspension
Authors: Zhao Weipeng , Gu Liang
Published: June 2023

Active suspension plays a pivotal role in modern vehicles. In this
paper, an adaptive PID controller of active suspension systems based on
RBF neural network (RBF-NN) is developed. A quarter-car suspension
system with two degrees of freedom is demonstrated. The values of
proportional, integral, and derivate components are obtained by using
Ziegler-Nichols(Z-N) tuning method and RBF-NN methods. The suspension
system is perturbed using the sine function. Simulated in the Simulink
environment is the quarter-car model. Passive suspension systems,
adaptive PID controller utilizing the Z-N tuning approach, and adaptive
PID based on the RBF-NN method for active suspension systems are
compared. The active suspension with PID control based on the RBF-NN
outperformed the active suspension with PID control utilizing the Z-N
tuning approach and passive suspension, according to simulation data.
The comparison demonstrates the proposed control method’s superior
features
The Recent Evolution of the Application of Single-Cell Analysis in Kidney Diseases: A bibliometric analysis
Authors: Hun Marady , Wen Huai , Wen Min , Tian Qiuwei , Wang Zisai , Han Phanna , Wun Tharith , Som Tin , Preap Boren , Zhao Mingyi , He Qingnan
Published: June 2023

Abstract There is increasing interest in employing Single-Cell Analysis
(SCA) technologies to improve the efficiency of renal disease diagnosis
and treatment. Nevertheless, comprehensive studies summarizing and
analyzing research trends in the field are lacking. There is increasing
interest in employing Single-Cell Analysis (SCA) technologies to improve
the efficiency of renal disease diagnosis and treatment. Nevertheless,
comprehensive studies summarizing and analyzing research trends in the
field are lacking. This article discusses the use of bibliometric
analysis to evaluate the progress and potential of Single-Cell Analysis
(SCA) technologies in the field of kidney disease. The study identified
1,606 articles and reviews published between 1999 and 2023, involving
11,737 authors from 2,317 institutions across 67 countries or regions.
The major contributors to SCA in kidney disease were highlighted,
including top authors, institutes, countries, and journals. Research
hotspots included molecular and pathological aspects, with disease-,
molecular-, and pathological-related keywords such as expression, EGFR,
gene-expression, activation, gene, cell, protein, mechanism, mutation,
inflammation, resistance, apoptosis, and T-cell. Key kidney-related
disease keywords included SLE, AKI, CKD, renal fibrosis, diabetic kidney
disease, nephrotic syndrome, IgA nephropathy, and kidney
transplantation. The authors note that the field of SCA in
kidney-related disease research is rapidly growing, with the potential
for further expansion. SCA technologies could provide novel diagnostic,
therapeutic, and prognostic approaches and support routine clinical
diagnosis and individualized treatment.
Role of ferroptosis in the occurrence and progression of acute ischemic stroke
Authors: Li Haoxiu , Bi Meng , Cheng Zhongqiang , He Miao , Li Weirong
Published: June 2023

Ferroptosis is a new non-apoptotic form of regulatory cell death, which
is characterized by intracellular iron overload and excessive
accumulation of lipid peroxides and reactive oxygen species (ROS).
Ferroptosis is closely related to intracellular iron, amino acid, and
lipid metabolism disorders. Ferroptosis is increasingly recognized as an
important process mediating the pathogenesis and progression of acute
ischemic stroke, and it can be involved in influencing acute ischemic
stroke and acute ischemic stroke risk factors atherosclerosis, atrial
fibrillation, hypertension, diabetes mellitus, and obstructive sleep
apnea. Therefore, understanding the mechanisms of ferroptosis regulation
in different diseases may have significant implications for the
preventive treatment and improvement of prognosis in patients with acute
ischemic stroke and patients with risk factors for acute ischemic
stroke. This article reviews not only the specific important mechanisms
of ferroptosis in the development of acute ischemic stroke, but also the
relevant associations between risk factors for acute ischemic stroke and
ferroptosis, and describes the current limitations and future directions
of ferroptosis in the pathogenesis of acute ischemic stroke and its risk
factors.
Characterization of crankshaft's microstructural nonuniformity and probability analysis of early fatigue failure
Authors: xu jinquan , Li Xiangzhe , Liang Gang , Ling Xiaojun , Xu Congcong
Published: June 2023

Early fatigue failure would happen occasionally even in a well-designed
crankshaft. The nonuniformity of microstructure (including
micro-defects) plays an important role in crankshaft’s early fatigue,
which can induce the scatter of strength properties and even relatively
large micro-defects. Characterizing the microstructural nonuniformity
through statistical distribution of initial damage, scatter of strength
and fatigue life can be described in a unified form. To determine the
statistical distribution of initial damage, relationships between the
initial damage dispersion and the scatter of tensile/fatigue strength or
impact energy sampling test data have been systematically investigated.
Based on the statistical distribution of initial damage and fatigue
limit, the reliability and early fatigue probability of crankshaft’s
fatigue strength design can be analyzed. To ensure sufficient
reliability against early fatigue failure, it is found that the safety
factor in design should be determined based on the actual strength
dispersion rather than a predetermined empirical value.
tiRNA-Gly-GCC-001 in major depressive disorder: Promising diagnostic and therapeutic biomarker
Authors: Tian Hiahua , Gao Shugui , Xu Miaomiao , Yang Mei , Shen Mengyuan , Liu Jimeng , Xue Guang , Zhuang Dingding , Hu Zhenyu , wang chuang
Published: June 2023

Background and Purpose: In major depressive disorder (MDD), exploration
of biomarkers will be helpful in diagnosing the disorder as well as in
choosing a treatment, and predicting the treatment response. Currently,
tRNA-derived small ribonucleic acids (tsRNAs) have been established as
promising non-invasive biomarker candidates that may enable a more
reliable diagnosis or monitoring of various diseases. Herein, we aimed
to explore tsRNA expression together with functional activities in MDD
development. Experimental Approach: Serum samples were obtained from
patients with MDD and healthy controls, and small RNA sequencing
(RNA-Seq) was used to profile tsRNA expression. Dysregulated tsRNAs in
MDD were validated by quantitative real-time polymerase chain reaction
(qRT-PCR). The diagnostic utility of specific tsRNAs and the expression
of these tsRNAs after antidepressant treatment was analyzed. Key
Results: In total, 38 tsRNAs were significantly differentially expressed
in MDD samples relative to healthy individuals (34 upregulated and 4
downregulated). qRT-PCR was used to validate the expression of six
tsRNAs that were upregulated in MDD (tiRNA-1:20-chrM. Ser-GCT,
tiRNA-1:33-Gly-GCC-1, tRF-1:22-chrM.Ser-GCT, tRF-1:31-Ala-AGC-4-M6,
tRF-1:31-Pro-TGG-2, and tRF-1:32-chrM. Gln-TTG). Interestingly, serum
tiRNA-Gly-GCC-001 levels exhibited an area under the ROC curve of 0.844.
Moreover, tiRNA-Gly-GCC-001 is predicted to suppress brain-derived
neurotrophic factor (BDNF) expression. Furthermore, significant
tiRNA-Gly-GCC-001 downregulation was evident following an eight-week
treatment course and served as a promising baseline predictor of patient
response to antidepressant therapy. Conclusion and Implications: Our
current work firstly found that tiRNA-Gly-GCC-001 is a promising MDD
biomarker candidate that can predict patient responses to antidepressant
therapy.
Attentional switch to memory: An early and late stage of cognitive processing allowing efficient visual search
Authors: Cai Chen , Zhang Le , Quan Zihan , Fang Xin , Cai Sisi , Zhang Jia
Published: June 2023

Individuals are apt to link various characteristics of an object or
event through different sensory experiences. We conducted an
electrophysiological study to examine the in-depth cognitive processing
mechanisms underlying the visual search process in multisensory
attention. A pilot study with two questionnaires was conducted to screen
experimental materials and establish the color-flavor combinations. In
the experimental study, the participants were prompted with a flavor
label and asked to choose the one with it from the following four
beverage bottle images. The behavioral results showed that searching for
a color-flavor weak association target was slower than for a strong
association one in the color-flavor congruent condition, opposite to the
incongruent condition. The ERP component analysis detected smaller N2
and larger P3 and LPC amplitudes for the color-flavor incongruent
targets than for the congruent targets. A further time-frequency
analysis elicited that the color-flavor congruent and strong association
targets evoked lower parietal theta power (range: 200–800 ms, 4–8 Hz)
than the incongruent and weak association targets, respectively.
Overall, our research indicated that (1) the color-flavor congruency and
association strength interactively impacted the visual search
efficiency, (2) the attentional switch from external stimuli to internal
memory is necessary for efficient visual search, and (3) the parietal
region plays a critical role in attentional processing and memory
retrieval. These findings shed light on the intricate cognitive
processes involved in visual search and the underlying neurocognitive
dynamics.
Nowcasting the Number of Chinese Students Studying Abroad in Times of COVID-19 Using Baidu Index
Authors: sun xu , Shi Yanyan , Sun Wangshu
Published: June 2023

Since the beginning of the COVID-19 pandemic, Ministry of Education of
the People’s Republic of China has not released the annual number of
students studying abroad. This paper first proposes a monthly indicator,
network public opinion factors for studying abroad, by the Principal
Components Analysis (PCA) method using the daily search data of Baidu
Index of study abroad keywords from 2011 to 2022. Then Mixed Data
Sampling (MIDAS) regression is implemented for nowcasting the annual
growth rate of the number of Chinese students studying abroad from 2020
to 2022. Finally, we evaluated the effects of COVID-19 pandemic on the
annual number of students studying abroad by comparing the prediction
results of the MIDAS model and the Grey model. According to the results
of MIDAS model, the predicted number of Chinese students studying abroad
in 2020, 2021 and 2022 are respectively 756600, 737171, 803022, and the
annual growth rate are respectively 7.548%, - 2.568%, 8.933%. The
sharp decline in 2021 means the COVID-19 pandemic has a serious adverse
effect on international student mobility, and the rapid rebound in 2022
shares one sign of a possible rapid growth of the number of Chinese
students studying abroad comeback.
Experience From the 2021 Floods in the Netherlands: Household Survey Results on Impacts and Responses
Authors: Endendijk Thijs , Botzen W J Wouter , Moel Hans De , Aerts Jeroen C J H , Duijndam Sem J , Slager Kymo , Kolen Bas , Kok Matthijs
Published: June 2023

This study provides an overview of the impact of the 2021 summer floods
in the Netherlands and the assessment of the effectiveness of various
adaptation measures, evacuation strategies, and their impact on society.
The floods were characterized by record rainfall in the cross-border
region of the Meuse and Rhine basins and resulted in devastating losses
in the Netherlands, Germany and Belgium. The study reports on a
household survey conducted with 1,513 households in the wake of the 2021
flood event in the southern part of the Netherlands (province of
Limburg). Using a descriptive approach, we present household experiences
during several stages of the disaster management cycle, reporting on
experienced flood hazard and impacts, evacuation, flood damage
mitigation measures, the compensation progress, risk perceptions, and
stress. Our findings highlight the role of early warnings and flood risk
information provision in flood risk management. Risk perceptions
influence both adaptation and evacuation behavior, as respondents who
were aware of flood risks beforehand were significantly more likely to
take flood damage mitigation measures compared with those who were not
aware. Flood damage mitigation measures, such as building with
water-resistant materials and elevating valuables, reduced flood damage
by 20% to 50%. Our survey shows that of those who received warnings,
the majority actually evacuated. However, residents not aware of any
evacuation advice were significantly less likely to evacuate.
Additionally, the majority (75%) of respondents experienced high or
very high stress during and after the flood, which is most likely
related to the destructive flood impacts and to the slow and uncertain
compensation experienced by many respondents. This paper describes the
flood event to provide insights into Dutch disaster management and what
can be learned for potential future disasters in other contexts.
Comments on “Reconsidering the Relationship Between Gulf Stream Transport and Dynamic Sea Level at U.S. East Coast” by Chi et al.
Authors: Ezer Tal
Published: June 2023

Numerous recent studies found significant correlations between weakening
of the Gulf Stream (GS) and rising coastal sea level (CSL) along the
U.S. East Coast. Based on monthly altimeter data and Florida Current
transport, Chi et al. (2023; here, CH23) argued that geostrophic
adjustment of the GS is unlikely to drive variations in CSL in the
Mid-Atlantic Bight (MAB). It is argued here that this conclusion cannot
be universally applicable to all cases, since the monthly data disregard
correlations previously found for short time scales based on hourly and
daily data; the impact of GS variability on time scales of decades and
longer as well as potential time lags between the GS and CSL variability
were also not considered by CH23. Examples are given here to demonstrate
the important role of the GS in post hurricane coastal flooding.