bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of blade materials on the undershot water turbine performance
Authors: Yohanes Setiawan E. , Hari Praswanto D. , Bahri L. M. S.
Published: May 2024

Undershot waterwheel at low flow with an average discharge of 0.12 m3/s and 613.2 W water horsepower are used to turn the waterwheel. The rotation results obtained with aluminum material is 24 RPM which has a density of 2.71 g/cm3 while the lowest rotation is owned by a galvanic of 20 RPM with a density of 7.49 g/cm3. From the experiment, it was found that the difference between the materials used was due to the different density. The efficiency of waterwheels with aluminum material has the highest value, namely 30%, while the lowest using acrylic material has an efficiency of 23%. For the highest generator efficiency using aluminum material with an efficiency of 4.2%, the second has an efficiency of 3.6% using Aluminum Composite Panel material. Aluminum has the highest efficiency because it has less density than galvanized. In addition, the thickness of aluminum is also very influential, where aluminum has a thickness of 1.14 mm while Galvanized has 0.98 mm.
Optimizing multi-skill call center staffing using queuing models: A study of service level
Authors: Hassan N. A. , Abdallah N. M. S. , Attwa R. A.
Published: May 2024

This paper discusses the staffing problem of a multi-skill call center based on queueing model. In this model, there are three types of calls and four types of agents with various skills. By using results from M/M/c and M/M/c/c queueing systems, we describe and obtain the state-transition rates of the study model. Then, we establish equations for the steady-state probabilities and compute the formula of the service level. Finally, we apply a numerical example through the derived results and calculate the steady-state probabilities, service levels, the optimal number of agents in each group, and illustrate how these influence factors in the whole system.
Modern techniques in detecting, identifying and classifying fruits according to the developed machine learning algorithm
Authors: Khalid H.
Published: May 2024

Recent developments in machine vision have opened up a wide range of applications, and farming is no exception. Deep learning (DL) has a wide range of applications because of its capacity to extract robust features from photos. Shape, color, and feel of many fruit species make it difficult to discover and classify fruits. When examining the effects of artificial intelligence on fruit identification and classification, we noted that, up until 2018, the majority of approaches relied on traditional machine learning (ML) techniques, while just a few ways took use of DL techniques for recognizing fruits and categorization. In this post, we thoroughly covered the datasets that many academics utilized, the useful descriptors, the application of model, and the difficulties of utilizing DL to identify and classify fruits. Finally, we compiled the outcomes of various DL techniques used in earlier research to identify and categorize fruits. This work examines the use of models based on DL for fruit categorization and recognition in recent studies. In order to make it simpler for beginning agricultural researchers to comprehend the importance of ML in the agricultural domain, we have developed a DL model for apple categorization using the well-known dataset "Fruit 360" starting scratch.
PMSM motor drive and their control schemes
Authors: Qureshi I. , Sharma V.
Published: May 2024

This paper investigated different control Techniques of Permanent magnet synchronous motor (PMSM) drive with open loop, voltage/frequency (V/F) control, closed-loop Space Vector Pulse Width Modulation (SVPWM) control, and sensor-less Modified Space Vector Pulse Width Modulation (MSVPWMM) control with MATLAB/Simulink. The different applications of commercial used required different control schemes due to cost-effectiveness. In a small commercial application where not much precision is required, open-loop or V/F control is used, due to their easy calculation and implementation and becomes a low-cost product outcome. Where their high precision has required closed-loop control is being adopted. In this paper, closed-loop SVPWMM and sensor-less MSVPWM techniques are proposed. The algorithm has a very fast response and output has fewer glitches, highly efficient. Constant speed response available at desired load. The control techniques have been modeled and simulated in MATLAB simulation software. The proposed scheme provides efficient performance in steady-state and dynamic load conditions.
The fourth generation of human rights: European standards and national experience
Authors: Barabash Olha O. , Dobkina Kateryna R. , Klyuyeva Yevgeniya M. , Martiuk Alina S. , Povalena Mariana V.
Published: May 2024

The generational classification of human rights is a vital and necessary instrument for examining the development of legal paradigms. This approach facilitates a deeper understanding of the evolution of notions and theories within the domain of human rights, while also pinpointing key differences among different stages of this evolution. Giving particular generations rights enables us to monitor how society adopts and acknowledges novel facets of legal consciousness and assurances. The authors utilize various scientific methods, including analysis, synthesis, induction, and deduction, as well as historical and legal, formal legal, comparative legal methods to examine the fourth generation of human rights. The article aims to investigate the nature of these rights, pinpoint the particular rights of this age, and examine European norms pertaining to these rights. The paper also attempts to evaluate the chances for these rights’ legislative realization in Ukraine, both now and in the future. The article’s conclusions and suggestions are intended to serve as a theoretical and methodological foundation for legislation that will enhance the political and legal framework of the Ukrainian State. This is particularly true for programs aimed at addressing the deficiencies in the area of somatic human rights protection and ensuring at the national level.
¿Hay límites a la libertad religiosa?
Authors: Poesche Jürgen
Published: May 2024

¿Hay límites a la libertad religiosa? La respuesta corta es sí. Los límites derivan del papel de la religión en la interpretación de las leyes del universo y en la consolidación de la identidad étnica. Este papel dual se puede observar en la amalgama de la religión étnica ancestral de los aztecas y en los conceptos religiosos mesoamericanos que contenían, por ejemplo, conocimiento y experiencia ecológicos. El Imperio Romano adoptó un enfoque similar, aunque no idéntico durante el Principado, pero dicho enfoque fue abandonado en favor de la conformidad religiosa durante el Dominio. Como resultado de la derrota de Occidente en las Cruzadas, además de las guerras de religión de los siglos XVI y XVII, se ha manipulado la religión y se ha intentado sustituir la religión por ideologías arraigadas en la modernidad occidental (a veces camufladas de laicismo). Como la religión ha contenido correctivos y controles contra las violaciones a las leyes del universo y ha apoyado la diversidad étnica, tales manipulaciones e intentos de reemplazo representan la esclavitud a las ideologías en lugar de la libertad, lo que impide la protección bajo la libertad religiosa.
XII Encuentro Nacional de Semilleros e Investigación Formativa Uniremington (25 al 30 de septiembre de 2023)
Authors: Corporación Universitaria Remington
Published: May 2024

La Semana de la Investigación Uniremington es un espacio académico que busca fortalecer los diferentes medios de divulgación del conocimiento. En este contexto se presenta el XII Encuentro Nacional de Semilleros e Investigación Formativa (25 al 30 de septiembre de 2023), que tiene, entre otros objetivos, el propiciar un espacio de encuentro entre diferentes áreas del conocimiento como las ciencias de la salud, las ciencias veterinarias, las ciencias contables y empresariales, las ingenierías, las ciencias jurídicas y políticas, la educación y las artes y el diseño. Los puntos de vista multidisciplinares enriquecen las percepciones de las diferentes problemáticas presentadas y que aquejan a las regiones en las cuales Uniremington tiene presencia y, dado que nos encontramos a lo largo de gran parte del territorio colombiano, es de gran valor que desde el proceso formativo nuestros estudiantes puedan evidenciar cómo la divulgación del conocimiento se convierte en artífice de solución de problemas reales a través de la investigación.
An Efficient Machine Learning Technique for Early Detection of Alzheimer’s Disease
Authors: Singh Karn
Published: May 2024

Abstract: This paper presents an efficient machine learning technique for the early detection of Alzheimer's disease. This approach leverages a combination of feature extraction and selection methods, coupled with advanced machine learning algorithms, to accurately identify early-stage Alzheimer's disease from neuroimaging data. The proposed technique demonstrates high sensitivity and specificity, making it a promising tool for clinicians in the early diagnosis and management of Alzheimer's disease.
SignEase - Sign Language Interpreter Model An Indian Sign Language Interpretation Model using Machine Learning and Computer Vision Technology
Authors: Passi Purvi , Pereira Jessica , Misal Anjelica , Menezese Viven , Kiruthika Dr. M.
Published: May 2024

Abstract: This study introduces a real-time system designed to recognize hand poses and gestures from the Indian Sign Language (ISL) using grid-based (control points) features. The primary aim is to bridge communication barriers between the hearing and speech impaired individuals and the broader society.Existing solutions often struggle with either accuracy or realtime performance, whereas our system excels in both aspects. It can accurately identify hand gestures in Indian Sign Language. In addition to recognition capabilities, our system offers a ’Learning Portal’ for users to efficiently learn and practice ISL, ASL, etc., enhancing its accessibility and effectiveness. Notably, the system operates solely on smartphone camera input, eliminating the need for any external hardware like gloves or specialized sensors, thus ensuring user-friendliness. Key techniques employed include hand detection via MediaPipe, cvzone, etc modules, and grid-based feature extraction, which transforms hand poses into concise feature vectors. These features are then compared with a TensorFlow- provideddatabase for classification for accurate translation
IoT Based Farm Insect Killer
Authors: Fusate Ritika R
Published: May 2024

Abstract: In modern agriculture, the efficient and precise application of pesticides is essential for crop health and yield ptimization. To address this need, we present the development of an autonomous pesticide sprinkler robot designed for precision agriculture applications. The robot is equipped with a DTMF module for remote control and a motor driver to enable precise navigation and spraying operations. The system integrates a chassis with sturdy wheels for mobility, DC motors for propulsion, and a pesticide tank with a spraying mechanism for uniform distribution of pesticides over crops. The robot's control system is implemented using an Arduino board, programmed to interpret DTMF signals for remote operation and execute predefined spraying patterns with precision. Safety features such as emergency stop buttons and fail-safes are incorporated to mitigate potential hazards
Study on Partial Replacement of Cement with Red Mud in Mortar
Authors: Madhu B
Published: May 2024

Abstract: An investigation is carried out on red-mud based cement mortar to understand its mechanical property performance. A proportionate replacement of cement is done to the range of 0% to 20% with 5% intervals with red mud. The mortar was prepared with a proportion of 1:4 and the behavioral performance of mortar were studied as concern towards its compressive strength. The results we would expect that the mortar exhibited better performance at 0% to 20% replacement and as well as red mud mortar is denser than normal cement mortar.
E Wheel: A Smart Wheelchair
Authors: Mathew Anitha
Published: May 2024

Abstract: In this project, we propose the development of an innovative smart electric wheelchair tailored to address the needs of individuals with mobility impairments. The primary objective is to enhance their quality of life and promote independence through the integration of cutting-edge technologies. The wheelchair's standout feature lies in its incorporation of advanced control mechanisms, notably head gesture control. This intuitive navigation system allows users to maneuver the wheelchair effortlessly, while also offering joystick controls. Furthermore, the wheelchair integrates a pulse oximeter sensor, enabling realtime health monitoring. This functionality is crucial for individuals with mobility impairments who may require continuous monitoring of vital signs such as oxygen saturation and heart rate. The inclusion of Blink facilitates remote monitoring and caregiver alerts, providing peace of mind to both users and their caregivers. Safety is paramount in the design of this wheelchair. To ensure safe navigation in various environments, the wheelchair is equipped with obstacle detection and protection mechanisms.
Healthcare Chatbot Using AI
Authors: Satpute Ms. Puja D.
Published: May 2024

Abstract: Medical chatbots mark a major advancement in patient care and dissemination of medical information. These AIpowered virtual assistants provide a variety of services, from providing medical information, facilitating appointments, and monitoring symptoms to providing psychological support and making it easier to find the nearest medical centre. It provides users with 24/7 access by easily advertising and pre-registering, improving user experience and making the healthcare process more efficient. Although medical chatbots have many advantages, it is important to know that their role is complementary rather than replacing, and therefore they should continue to be in the care of doctors. The report outlines the future of healthcare chatbots and highlights their potential to increase access and efficiency for patients and doctors
Online Training and Placement System
Authors: Chandanshive Ms. Supriya B.
Published: May 2024

Abstract: This system makes it very easy for students to register, and the placement officer can easily access their information. This system enables eligible students to easily get admission. The number of students who have been placed will be shown through various articles. This system helps the college keep records of current and past student registrations. The placement officer prepares schedules for all placement-related activities. The company provides a list of eligible students who are automatically notified. Students, TNP employees, and TPOs receive the necessary information. All students who have registered are eligible for this system
Malware Analysis Using Transfer Learning
Authors: N Anu Lavanya
Published: May 2024

Abstract: The evolution of malware threats demands continuous innovation in detection techniques to safeguard systems. This research project introduces a comprehensive solution aimed at unveiling malware detection capabilities through the integration of cutting-edge methodologies and APIs. At its core, our tool utilises transfer learning techniques to analyse files for potential malicious content, providing a first line of defence against emerging threats. Building upon this foundation, the integration of the Virustotal API enhances enumeration capabilities, utilising the collective intelligence of numerous antivirus engines to validate and quantify detected threats. Then it calculates a malware score based on this enumeration, So everyone can easily understand how malicious that file is.
AgriSolutions: Innovations in Crop Disease Prediction, Crop Recommendation, and E Commerce
Authors: Ghuge Kshitij
Published: May 2024

Abstract: Crop disease prediction and crop recommendation are important steps towards sustainable agriculture. The use of deep learning, EfficientNet_v2 and image processing technologies can help in improve accuracy in these tasks. Identification of plant diseases and recommendation of crops cannot maximize only yield production but can be supportive for varied types of agricultural practices The existing system of crop recommendation employs data analysis to suggest suitable crops based on soil and climate factors, while disease prediction system utilizes predictive models to anticipate and prevent crop diseases. In this Paper, we propose a model that combines these techniques to accurately identify to recommend suitable crops based on the Soil Parameters and climate conditions of the farm. Our proposed model achieved and classify plant diseases, recommend suitable crops based on the soil condition. To achieve this, we trained a deep neural network on a large dataset of images of healthy and diseased plants, and performed image preprocessing.
Improving Privacy and Security: Artificial Intelligence\'s Ability to Detect and Stop Threats with IBM SAAS SIEM
Authors: Mudiraj Gurunivas
Published: May 2024

Abstract: Artificial intelligence has become a vital part of cyber security because of its capacity to assess security threats instantly and respond appropriately. AI currently has a greater influence on identifying and thwarting assaults that maintain companies' technological edge. AI's function in cybersecurity focuses primarily on detection and mitigation. Artificial intelligence uses predictive algorithms and sophisticated data analysis to find trends and irregularities in transmitted data and usage that may indicate a potential cyberattack. This enables security staff to react swiftly and proactively to possible assaults. Artificial Intelligence may be employed to stop assaults by using predictive modeling. The findings suggest that further research and development on the integration of machine learning and artificial intelligence into security platforms has a lot of promise. Among the most intriguing applications found are security for networks, detection of malware, and detection of intrusions and response. The poll indicates that 35% of firms intend to implement machine learning and artificial intelligence throughout existing cyber networks, while 45% of companies have already done so.
Enhancing Interactive IVR Using NLP
Authors: Sankar Mr. E. , Chakravarthi M. Karthikeya Prudhu , Ramana Vallapu Lokesh Venkata
Published: May 2024

Abstract: This paper suggests a fresh approach to IVR design by incorporating natural language processing (NLP) techniques, enhancing user experiences. Traditional IVRs often frustrate users due to their rigid menu structures. By integrating NLP, we aim to create dynamic and interactive IVR systems, leading to increased user satisfaction, streamlined interactions, and improved business performance. Our self-deployment and user testing demonstrate the system's effectiveness in providing personalized and responsive support, transforming traditional IVRs into engaging communication channels.
"Detailed Study on Making Prototype of Proposed Smart and High Tech City"
Authors: A More Shubham , K Mahale Sakshi , R Patil Nitish , S Patil Nilesh , N Sisodiya Rajnandini , V Deore Pranav , Borase Narendra R
Published: May 2024

Abstract: Smart and high- tech metropolises represent the zenith of civic invention, using slice- edge technologies to enhance effectiveness, sustainability, and quality of life for residers. This composition provides a comprehensive study of the crucial technologies driving the elaboration of smart metropolises, including Internet of effects ( IoT) bias, artificial intelligence( AI), big data analytics, renewable energy, and civic mobility results. Also, it explores the counter accusations of these advancements on colourful aspects of civic life, similar as transportation, energy operation, healthcare, and governance. By examining recent developments and unborn prospects, this paper aims to contribute to a deeper understanding of the openings and challenges associated with the metamorphosis towards smarter and further sustainable metropolises.
Design and Fabrication of Friction Floor Cleaner for Cattle Shed
Authors: Kedar Arun , Vairagade Jayesh , Walde Khushal , Chavhan Sakshi , Patil Swarnim
Published: May 2024

Abstract: In the world of advanced technology and scientific evolution our one vision should be there in the health and hygiene of domestic animals. Domestic animals like cows and goats are the source of revenue in the form of milk. Hence it is essential to take care of the health and hygiene of cows as unhygienic surroundings may lead to various diseases among the cattle and can also affect productivity. There also lies the probability of diseases being transmitted to human beings who consume this milk. So considering all these factors we aim to design and fabricate a machine for the cleaning of cowshed. The proposed system uses 4 different arrangements which are friction cleaning arrangement, water distribution arrangement, disinfectant spraying arrangement, and left and right (1-D) movement arrangement of the complete system. The friction cleaning system uses a rotating brush arrangement to make the complete ground surface of cowsheds dirt-free. A watering arrangement is used to distribute water on the ground surface. Disinfectant distribution arrangement uses sprinkler arrangement to distribute disinfectant to make cowshed bacteria-free. 1-D movement arrangement uses rack and pinion arrangement to make the complete system move in one-directional movement
Performance Enhancement in Submersible Pump Impellers: Design and Optimization Approaches
Authors: Mevada Shraddha A , Bhuptani Amit
Published: May 2024

Abstract: Submersible pumps are essential components in various industries, including water supply, wastewater management, and oil extraction. Their efficiency and reliability are crucial for ensuring consistent fluid transport. At the core of submersible pumps lies the impeller, which directly influences pump performance. This paper examines advanced design and optimization approaches to enhance the performance of submersible pump impellers. By analyzing key factors such as blade geometry, material selection, and impeller design parameters, we explore methods to improve hydraulic performance, energy efficiency, and operational stability. Experimental validation confirms the effectiveness of these approaches in achieving superior pump efficiency and longevity. This study contributes to the advancement of submersible pump technology and sets a foundation for future research in the field.
IMPACTO DE UN SISTEMA VISUAL DE INFORMACIÓN EN UN PROCESO DE ENSAMBLE
Authors: Rodríguez Alvarado Lisaura , Loyo Quijada Jesús , Magos Rivera Miguel , López Ontiveros Miguel Ángel , Lara Chávez José Antonio
Published: May 2024

En muchos procesos industriales en los cuales el ensamblado de piezas está involucrado, los operadores no cuentan con información en tiempo real del ritmo de producción que llevan. En este artículo se estudia el efecto sobre el rendimiento de los operadores cuando éstos cuentan con información sobre el cumplimiento de los objetivos que les fueron encomendados, para esto, se realizaron dos casos de estudio; en primer lugar, se ensambló una chapa metálica y posteriormente, un soporte para soldar. En ambos casos, se realizó el experimento primero sin ningún tipo de información y posteriormente se incorporó un Sistema Visual de Información. Se efectuó un análisis cuantitativo sobre el efecto que se tuvo en los indicadores claves del proceso al contar con información y sin ella. Adicionalmente, se realizó un análisis cualitativo sobre la percepción que los usuarios tuvieron del sistema de información visual. Los resultados demuestran que, el sistema contribuyó a mejorar la calidad de las piezas ensambladas y a disminuir el tiempo ocioso, al permitir detectar anormalidades dentro del proceso. Por otro lado, los operadores valoraron favorablemente el sistema ya que, determinaron que el nivel de estrés y atención disminuyó, cuando se contaba con información en tiempo real.
FUNDAMENTOS TEROTECNOLOGICOS PARA REEMPLAZO DE EQUIPOS INDUSTRIALES EN LA GESTION DE ACTIVOS
Authors: Pérez Moreno Víctor Martin
Published: May 2024

La Terotecnología aplicada al reemplazo de equipos industriales dinámicos y estáticos, alude a la toma de decisiones adecuadas para su sustitución, a fin de estudiar la obsolescencia de los equipos, y el impacto en los costos fundamentales de operación y mantenimiento, pues se han disminuidos los tiempos fuera de servicio, que resultan prioritarios para mantenerlos funcionando y competitivamente, minimizando los mantenimientos; ya que la problemática de este trabajo es que los activos durante sus periodos de utilización, sufren desgaste causando desperfectos. Así, el objetivo del estudio es exponer un modelo, basado en la Terotecnología, para el relevo de unidades empresarias susceptibles a fallas, de acuerdo con la Gestión de Activos. Es una investigación cuantitativa, que presenta un procedimiento matemático, siguiendo la Norma ISO 55000, donde se identifican y evalúan las opciones para instrumentar decisiones cuantitativamente aceptables, a fin de gestionar eficientemente dichos mecanismos; el resultado es una modelización que permite reducir la incertidumbre para la adopción de alternativas en momentos de cambio de los componentes y equipos. Se concluye que el modelo es apropiado para mejorar los costos en el ciclo de vida, y las disposiciones económicas para las empresas y sus usuarios.
EVALUACIÓN DEL DESEMPEÑO DE LOS SISTEMAS DE GESTIÓN CALIDAD
Authors: Segura Dominguez Alaín , Suárez Arianne Alonso
Published: May 2024

Uno de los problemas constantes en la mejora de la evaluación de los sistemas de gestión de calidad, está relacionado con minimizar la subjetividad e incrementar los criterios de valoración. La presente investigación tuvo como objetivo proponer un procedimiento de cálculo y análisis para la evaluación del desempeño de los sistemas de gestión de calidad, orientado a reducir la subjetividad en la valoración del nivel de eficacia del sistema, según norma ISO 9000, a través del análisis de la literatura. Con estepropósito, se correlacionaron los principios básicos de la gestión de calidad con indicadores de la entidad, utilizando el método de expertos para conformar una base de cálculo. El resultado obtenido fue un indicador del desempeño del sistema de gestión de calidad (EDsgc) de la organización; que, de acuerdo a los resultados del sistema, identifica la organización como: Principiante, Proactiva, Flexible, Innovadora o Sostenible. El procedimiento minimiza la subjetividad del resultado con el uso de escalasnuméricas en cada indicador.
METODOLOGÍA PARA EVALUAR LA MADUREZ EN LA GESTIÓN DE LA RESPONSABILIDAD SOCIAL EMPRESARIAL DE LAS CADENAS DE SUMINISTROS
Authors: Zaldívar Zaragoza Liliana , Lao León Yosvani Orlando , Marrero Delgado Fernando
Published: May 2024

La presente investigación tiene el objetivo de desarrollar un modelo de madurez en la gestión de la Responsabilidad Social Empresarial de las cadenas de suministros en el sector turístico cubano, que proporcione a las empresas un soporte para identificar los factores críticos de las prácticas responsables y contribuya a alcanzar un camino de excelencia hacia la sostenibilidad. La novedad de esta metodología está sustentado en el análisis de 19 prácticas clasificadas por dimensión de la Responsabilidad Social Empresarial: económica, social y ambiental. Se diseñó un indicador general que permitió valorar la gestión de la Responsabilidad Social Empresarial de las cadenas de suministros en seis niveles de madurez. La herramienta fue aplicada en un hotel del destino turístico Guardalavaca, provincia de Holguín, Cuba. Los resultados obtenidos reflejaron que la madurez en la gestión de la Responsabilidad Social Empresarial de las cadenas de suministros en el hotel caso de estudio se encuentra en el Nivel 2 Planificación. Se proyectaron estrategias de mejora para pasar al siguiente nivel de madurez.
PERCEPCIONES DE ESTUDIANTES SOBRE SU EXPERIENCIA DE APRENDIZAJE EN PANDEMIA POR COVID19
Authors: Artigas María Velia , Onaine Adolfo Eduardo , Santille Luciana Soledad
Published: May 2024

Producto de la pandemia por el COVID19, que impuso la virtualidad, se aceleró la implementación de la educación virtual e impactó en el proceso de cambio que se venía produciendo en cuanto a la formación de ingenieros por competencias centrado en el estudiante. Por tal motivo, se indaga cuáles son las percepciones de los estudiantes respecto de su experiencia ante esta situación. Se toma una muestra mixta de estudiantes que cursaron en el primer y segundo cuatrimestre la asignatura Administración de Recursos Humanos del año 2020. Se analizan los datos resultantes sobre las autopercepciones de los estudiantes acerca del desarrollo de sus competencias, su experiencia en virtualidad e impacto en las mediaciones pedagógicas a través de distintas perspectivas teóricas. El mismo es de carácter cuantitativo y exploratorio utilizando una encuesta virtual que permite establecer y comprender cuáles son las variables más destacadas en relación al fenómeno en estudio. Los resultados en cuanto a las competencias destacadas en relación al aprendizaje han sido aprendizaje autónomo, administración del tiempo y trabajo en equipo, para ambos grupos, coincidiendo en el orden de importancia, pero no en el porcentaje de respuestas.En cuanto a la experiencia en la virtualidad, el segundo grupo tiene una percepción más positiva de sus logros al comparar virtualidad y presencialidad en cuanto a sus aprendizajes, resultado de su recorrido previo. Finalmente, se concluye que el tránsitopor una etapa de educación virtual impuesta provocó tanto en estudiantes como docentes el desarrollo y mejora de competencias que impacta positivamente en el proceso de enseñanza-aprendizaje.
Atención de la población estudiantil con discapacidad que enfrenta barreras para el aprendizaje en Costa Rica durante la pandemia en el 2020
Authors: Alvarado-Soto Natalia , Abarca-Bonilla Viviana
Published: May 2024

El artículo plantea los resultados de una investigación realizada entre 2020 y 2022 por parte de dos tutoras de la cátedra de Psicopedagogía de la Universidad Estatal a Distancia, con el objetivo de analizar la atención recibida por la población estudiantil con discapacidad que enfrenta barreras para el aprendizaje en tiempos de la pandemia por el COVID-19 y las estrategias usadas por el personal docente para orientar a las familias en el acompañamiento a la población. A nivel metodológico, la investigación se enmarcó en un enfoque cualitativo, que utilizó como principal insumo la entrevista semiestructurada con 20 docentes y 20 familias de 12 instituciones públicas de primaria del Gran Área Metropolitana. El estudio revela que la pandemia tuvo un impacto en el proceso de aprendizaje de las personas estudiantes con discapacidad, quienes enfrentan barreras para el aprendizaje debido a la dificultad en la identificación e implementación de estrategias pedagógicas virtuales adecuadas a las condiciones de cada estudiante de acuerdo con su condición de discapacidad.
Construcción comunitaria de cursos de bioética en nueva Universidad estatal. Experiencia en la Universidad Regional de O ́Higgins (Chile)
Authors: Rueda Castro Laura del Carmen , Lagos Bosman Karin , Briceño Ribot Constanza , Donoso Flores Inés
Published: May 2024

El equipo encargado de la enseñanza de la bioética de carreras de la salud en la Universidad Regional Estatal de O’Higgins, Chile (UOH), presenta la implementación de los programas para los cursos de bioética, durante el inicio de las actividades académicas. El aporte de este trabajo reside en que estos planes fueron diseñados de acuerdo con necesidades locales estudiadas previamente con actores relevantes de la comunidad y reconstruidas con la participación de los primeros estudiantes que desarrollan el semestre lectivo. Se realiza una investigación cualitativa tomando la cohorte de ingreso de ese año, cuyo propósito fue, mediante una encuesta, identificar las necesidades formativas en bioética de la comunidad local desde donde ellos acuden a la universidad, para ejecutar el rediseño de los cursos. Los resultados obtenidos de la información recogida permiten reorientar los contenidos básicos de bioética entregados en la primera versión del curso y así formar en las problemáticas situadas del perfil multicultural y rural de la región.
Liderazgo, gobernanza y transformación digital en el diseño organizacional de la educación superior colombiana. Una revisión sistémica
Authors: Cardenas Ruiz Henrry Alberto , Rubiano Lopez Shaffia Harlee Andrea , Cabra Naranjo Ligia Consuelo
Published: May 2024

Liderar, gobernar y transformar son aspectos claves en el funcionamiento de una institución, este artículo presenta una revisión sistémica que busca analizar estos factores y cómo influyen en el diseño organizacional de las instituciones de educación superior (IES) en Colombia, el método desarrollado para el estudio se basó en la revisión de literatura y el análisis estructurado de referencias conceptuales y epistemológicas a partir del objeto de investigación. Esta revisión destaca la importancia de considerar los diversos factores que influyen en el diseño organizacional y proporciona una base que oriente la toma de decisiones y la gestión estratégica en las IES a implementar prácticas avanzadas, a determinar el comportamiento y la naturaleza de las instituciones basados en la transformación digital, la comunicación efectiva, el desarrollo del liderazgo, la cooperación entre las partes clave interesadas y la implementación de un proceso de gobernanza justo y transparente.
Rapid but nondurable response of a BRAF exon 15 double-mutated spindle cell sarcoma to a combination of BRAF and MEK inhibitors
Authors: KYu Sinichenkova , Sidorov * , NA Kriventsova , DM Konovalov , RH Abasov , N Usman Yu , Karachunskii Alexander , GA Novichkova , Litvinov Dmitry , AE Druy
Published: May 2024

Introduction: BRAF V600E substitution predicts sensitivity of a
cancer to BRAF inhibitor therapy. The mutation is rarely found in
soft-tissue sarcomas. Here we describe a case of undifferentiated
spindle cell sarcoma showing primary insensitivity to standard
chemotherapy and pronounced but non-sustained response to BRAF/MEK
inhibitors at recurrence. Case presentation: A 13-year-old girl was
diagnosed with low-grade spindle cell sarcoma of pelvic localization,
BRAF exon 15 double-mutated: c.1799T>A p.V600E and
c.1819T>A p.S607T in cis-position. The tumor showed
resistance to CWS-based first-line chemotherapy and was treated
surgically by radical resection. Seven months after surgery the patient
developed metastatic relapse with abdominal carcinomatosis. Combined
targeted therapy with BRAF/MEK inhibitors afforded complete response in
1 month and was continued, though complicated by severe side effects
(fever, rash) necessitating 1–2 week toxicity breaks. After 4 months
from commencement the disease recurred and anti-BRAF/MEK regimen
consolidation was unsuccessful. Intensive salvation chemotherapy was
ineffective. Empirical immunotherapy afforded a transient partial
response giving way to fatal progression with massive, abdominal
cocoon-complicated peritoneal carcinomatosis. Conclusion: This is the
first report of spindle cell sarcoma BRAF V600E/S607T
double-mutated, responding to a combination of B-Raf and MEK inhibitors.
Despite the low histological grade and radical surgical treatment of the
tumor at primary manifestation, the disease had aggressive clinical
course and the response to BRAF/MEK targeted therapy at recurrence was
complete but nondurable. Empirical use of pembrolizumab provided no
unambiguous evidence on the clinical relevance of immunotherapy in
protein kinase -rearranged spindle cell tumors.
CPX-351 associated rash in pediatric patients with acute myeloid leukemia: a case series
Authors: Weisnicht Allison , Chan Audrey , Patel Kalyani , Stevens Alexandra
Published: May 2024

CPX-351 (a liposomal formulation of cytarabine and daunorubicin) is a
chemotherapeutic agent for treatment of acute myeloid leukemia (AML). A
phase 3 clinical trial of CPX-351 in pediatric AML (NCT04293562) is
currently ongoing. Adult studies report that rash with CPX-351 is a
frequent adverse event. However, the features of cutaneous side effects
associated with CPX-351 in the pediatric population have not been
well-described in the literature. Here we describe the characteristics
and management of CPX-351 associated rash in the pediatric population.
This is a retrospective case series of 45 patients who received CPX-351
at Texas Children’s Hospital from 2018-2022.
Grass pollen allergoids conjugated with mannan for subcutaneous and sublingual immunotherapy: a dose-finding study.
Authors: Casanovas Miguel , Ojeda Pedro , Barjau María Concepción , Subiza Javier , Moreno Antonio , Ojeda Isabel , Solano Emilio , Alonso Alicia , Caballero Raquel , Pozo Sandra del , Gómez-Perosanz Marta , Sánchez-Trincado José Luis , Benito-Villalvilla Cristina , Angelina Alba , Soria Irene , Reche Pedro A. , Palomares Oscar , Subiza José
Published: May 2024

Background: Polymerized allergoids conjugated with mannan
represent a novel approach of allergen immunotherapy targeting dendritic
cells. In this study, we aimed to determine the optimal dose of
mannan-allergoid conjugates derived from grass pollen ( Phleum
pratense and Dactylis glomerata) administered via either the
subcutaneous or sublingual route. Methods: A randomized,
double-blind, placebo-controlled trial with a double-dummy design was
conducted, involving 162 participants across 12 centers in Spain.
Subjects were randomly allocated to one of nine different treatment
groups, each receiving either placebo or active treatment at doses of
500, 1,000, 3,000, or 5,000 mTU/mL over four months. Each participant
received five subcutaneous (SC) doses of 0.5 mL each, every 30 days, and
a daily sublingual (SL) dose of 0.2 mL. The primary efficacy outcome was
the improvement in titrated nasal provocation tests (NPT) at the end of
the study compared to baseline. Secondary outcomes included specific
antibody (IgG4, IgE) and cellular (IL-10 producing and regulatory T
cell) responses. All adverse events and side reactions were recorded and
assessed. Results: Post-treatment, the active groups showed
improvements in NPT ranging from 33% to 53%, with the highest doses
showing the greatest improvements regardless of the administration
route. In comparison, the placebo group showed a 12% improvement.
Significant differences over placebo were observed at doses of 3,000
mTU/mL (p=0.049 for SL, p=0.015 for SC) and 5,000 mTU/mL (p=0.011 for
SL, p=0.015 for SC). A dose-dependent increase in IgG4 was observed
following SC administration, and an increase in IL-10 producing cells
for both routes of administration. No serious systemic or local adverse
reactions were recorded, and no adrenaline was required.
Conclusions: Grass pollen immunotherapy with mannan-allergoid
conjugates was found to be safe and efficacious in achieving the primary
outcome, whether administered via the subcutaneous or sublingual routes,
at doses of 3,000 and 5,000 mTU/mL.
Sociodemographic inequities in food allergy: Insights on food allergy from birth cohorts
Authors: Warren Christopher , R Tami Bartell
Published: May 2024

A large and growing corpus of epidemiologic studies suggests that the
population-level burden of pediatric FA is not equitably distributed
across major sociodemographic groups, including race, ethnicity,
household income, parental educational attainment, sex). As is the case
for more extensively studied allergic disease states such as asthma and
atopic dermatitis) epidemiologic data suggest that FA may be more
prevalent among certain populations experiencing lower socioeconomic
status (SES), particularly those with specific racial and ethnic
minority backgrounds living in highly urbanized regions. Emerging data
also indicate that these patients may also experience more severe
FA-related physical health, psychosocial and economic outcomes relating
to chronic disease management. However, many studies that have
identified sociodemographic inequities in FA burden are limited by
cross-sectional designs that are subject to numerous biases, which can
reduce the epidemiologic utility of the resulting estimates. Compared to
cross-sectional study designs or cohorts that are recruited during
childhood, birth cohorts can offer advantages relative to other study
designs when investigators seek to understand causal relationships
between exposures occurring during the prenatal or postnatal period and
the atopic disease status of individuals later in life. Numerous birth
cohorts have been established across recent decades, which include
evaluation of food allergy-related outcomes, and a subset of these also
have measured sociodemographic variables that, together, have the
potential to shed light on the existence and possible etiology of
sociodemographic inequities in food allergy. This manuscript attempts to
survey the current state of this birth cohort literature and draw
insights regarding what is currently known, and what further information
can potentially be gleaned from thoughtful examination and further
follow-up of ongoing birth cohorts across the globe.
Geometries and Stabilities of Chromium doped Nitrogen Clusters: Mass Spectrometry and Density Functional Theory Studies
Authors: Jiang Zaifu , Fu Peixin , Chen Meicheng , Chen Chen , Chen Bole , Dai Wei , Ding Kewei , Lu Cheng
Published: May 2024

Metal-doped nitrogen clusters serve as effective models for elucidating
the geometries and electronic properties of nitrogen-rich compounds at
the molecular scale. Herein, we have conducted a systematic study of
VIB-group metal chromium (Cr) doped nitrogen clusters through a
combination of mass spectrometry techniques and density functional
theory (DFT) calculations. The laser ablation is employed to generate
CrNn+ clusters. The results reveal that CrN8+ clusters exhibited the
highest signal intensity in mass spectrometry. The photodissociation
experiments with 266 nm photons confirm that the chromium heteroazide
clusters are composed of chromium ions and nitrogen molecules. Further
structural searches and electronic properties calculations of
chromium-nitrogen clusters indicate that the cationic CrN8+ cluster is
an X-shaped geometry with D2 symmetry exhibiting robust stability.
Molecular orbital and chemical bond analyses demonstrate the existence
of strong interactions between Cr+ cation and N2 ligands. The present
findings enrich the geometries of metal doped nitrogen clusters and
provide valuable guidance for the rational design and synthesis of novel
transition metal nitrides.
INFLUENZA OUTBREAK DURING THE SURGE OF SARS-CoV-2 OMICRON IN A METROPOLITAN AREA FROM SOUTHERN BRAZIL: GENOMIC SURVEILLANCE.
Authors: Pereira Vyctoria , Schons Juliana , Demoliner Meriane , Silva Mariana Soares da , Filippi Micheli , Frohlich Julia , Fink Pietra , Hansen Alana , Ferreira Helena Lage , Afrough Babak , Kritz-Wilson Angelika , Spilki Fernando
Published: May 2024

Influenza circulation was significantly affected in 2020–21 by the
COVID-19 pandemic. During this time, few influenza cases were recorded.
However, in the summer of 2021–22, an increase in atypical influenza
cases was observed, leading to the resurgence of influenza in the
southernmost state of Brazil, Rio Grande do Sul (RS). The present study
aimed to identify FLUAV, FLUBV, and SARS-CoV-2 circulation and
characterize influenza genomes in suspected COVID-19 patients using
high-throughput sequencing technology. Respiratory samples (n = 694)
from patients in RS were selected between July 2021 and August 2022. The
samples were typed reverse transcriptase real-time PCR (RT-qPCR) and
showed 32.13% (223/694) of the samples to be positive for SARS-CoV-2,
7.06% for FLUAV (49/694). FLUBV was not detected. RT-qPCR data also
showed 0.57% of the cases had FLUAV and SARS-CoV-2 co-infections. Whole
genome sequencing of the FLUAV positive specimens produced 15 complete
genomes of H3N2 subtype with phylogenetic placement in the
3C.2a1b.2a.2a.3 subclade. Mutation analysis showed 73 amino acid
substitutions in addition to several nonsynonymous mutations. The
detected percentage of FLUAV (7.06%) is relatively similar to the total
number of flu cases requiring hospitalization in RS state (8.9%),
including those admitted to intensive care units for severe
complications. This study provides insights into influenza virus
circulation in the south of Brazil during the Omicron wave of the
COVID-19 pandemic and reinforces the importance of H3N2 as a major
driver of severe respiratory disease in the region along with the
SARS-CoV-2 Omicron wave at the beginning of 2022.
Forecasting of Auroral Pc5 Pulsations from Solar Wind Parameters Using Machine Learning Approach.
Authors: Omondi stephen Owino , Pappoe Justice Allotey , Nasurudiin Sebwato , Mahrous Ayman Mohamed
Published: May 2024

The coupling between the magnetosphere and solar wind contributes to the
energy, momentum, and mass transfer between the systems. However,
geomagnetic pulsations facilitate the continuation of this process in
the magnetosphere and the production of discrete auroral arcs.
Therefore, remote-sensing the magnetospheric conditions. Data analytics
with machine learning (ML) gives insight into scalability, adaptability,
and feature extraction compared to traditional empirical models. The
availability of big data in the Svalbard network spanning 25years from
1996 motivated the current study. Hence, we present the forecasting of
auroral Pc5 pulsations from solar wind parameters using the ML
technique. In the training phase, there was a regression of 0.75 and
MSE=11.90 nT2. The relationship between Pc5 forecast and observations in
low and high geomagnetic activity and solar activity showed good
consistency with R=0.76 and MSE= 11.4 nT2. For instance, the model
adapted well to the St. Patrick geomagnetic storm of March 17th, 2015
despite uncertainties in the data. In addition, the model also adapted
well with stunning performance in all Svalbard observatories with HOP
leading with 6949 prediction events and NAL with the least. Thus, this
was consistent with previous studies in terms of Pc5 pulsations
latitudinal or L-shell dependence. Finally, validation with Kp and F10.7
indices presented excellent coherence between the models. Overall, The
ML studied the connection between solar wind and interplanetary magnetic
field properties to the ground magnetic field perturbations with good
correlation results. Hence, the model will be fit for use by the
magnetospheric community for space weather studies.