bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of structural, morphological and optical properties of samarium doped with BaTiO3 nanomaterial
Authors: kumar Aravind kumar , teacher Piyush k. patel , teacher Jyoti Rani , teacher M.M. Malik 
Published: January 2025

Abstract

Samarium-doped Barium Titanate (Sm: BaTiO3) is a promising material in the field of advanced ceramics and electronics, combining the unique properties of both samarium (Sm) and barium titanate (BaTiO3). Barium titanate is a well-known ferroelectric material, widely studied for its excellent dielectric properties, piezoelectric behaviour, and electro-optical characteristics. The incorporation of samarium ions (Sm³⁺) into the BaTiO3 lattice aims to enhance the material’s electrical, optical, and magnetic properties.
This doping process leads to a modification of the material’s structural, electrical, and magnetic behaviours due to the influence of Sm³⁺ ions on the crystal lattice. These ions can alter the ferroelectric properties, improving the material's dielectric response, increasing magnetic susceptibility, and potentially introducing new functionalities like multiferroic behaviour (simultaneous ferroelectric and magnetic properties). The influence of doping concentrations, synthesis methods, and thermal treatments on the microstructure and phase stability of Sm: BaTiO3 is crucial for optimizing the material’s performance in potential applications such as capacitors, sensors, actuators, and advanced memory devices.
The abstract for Samarium-doped Barium Titanate typically explores how varying the doping levels of Sm affects the materials, crystallography, dielectric constants, electrical conductivity, and magneto electric coupling, with the ultimate goal of tailoring the properties for specific technological applications.
Understanding dynamics to Streamline Access: Systems Engineering and Agent-Based Probabilistic Modelling in Memory Assessment Services
Authors: Scherer Reinhold , Jamalifard Mohammadreza , Underwood Benjamin R. , Lewis Jonathan R. , Skea Alison , Mathie Elspeth , Dening Karen Harrison , Milton Steve , Surr Claire , Lebcir Reda M. , Pujari Amit N. , Free Robert C. , Leng Theng Yin , Craven Michael , Beishon Lucy , Keevil Victoria L. , Goodman Claire , Handley Melanie 
Published: January 2025

Abstract

Background As the global population ages, healthcare systems must anticipate and manage the interactions of older adults with dementia and other long-term conditions. Optimising dementia assessment and diagnosis services is essential to enhance efficiency and improve patient experience. Solutions must address the evolving needs and complexity of patients, caregivers, and healthcare services.Aims We sought to develop a comprehensive model of a memory assessment service (MAS) to examine how patients, unpaid carers and health system factors influence service performance. The primary focus was to gain insight into how these factors affect the time from referral to diagnosis and to identify evidence needed for future modelling work.Methods We used systems engineering and an agent-based probabilistic modelling approach, informed by real NHS clinical data, to simulate the MAS. To reflect the experience of most people attending memory assessment services our model included the impact of multiple long-term conditions (MLTC) and if the patient had a known carer (dyad).Results We found that system dynamics and behaviour change based on the pressure the system is under, with a tipping point in the length of the waiting list after which performance is consistently impacted. The impact of staff absences appears to be less significant than comparable levels of patient non-attendance. High levels of triage adversely affected service performance, whereas increased staffing levels and, in particular, reduced administrative burdens improved performance.Conclusions We have demonstrated the feasibility of constructing sophisticated models of memory assessment services, incorporating multiple factors to study behaviours that emerge from interactions in the system. Such models could be valuable tools for NHS managers, not only to optimise the efficiency of services but also to develop new approaches to service delivery.
Advanced Transport Management System (aTraMS) using On-Board Diagnostics
Authors: S Avinash , Ramachandra  , Prathapchandra  
Published: January 2025

Abstract

On-Board Diagnostics or OBD diagnostic device communicates with the car and reads the diagnostic information from the car. It is a computer-based system built into modern passenger cars that monitor emission-related controls and the performance of the engine and detects malfunctions. This device is installed in a power train control module (PCM), which is generally a combined control unit, consisting of the engine control unit (ECU) and the transmission control unit (TCU). It provides some useful data to the user. The problem with the present device is that, to support different applications, it uses separate modules and till today it is seen only in high-end vehicles. The existing product is a processor-based application; hence it uses external RAM and ROM. The proposed system is microcontroller-based, which provides all in one support like Ethernet, USB, GPS, Bluetooth (using UART), Wi-Fi (using SPI), LTE, 6 axis sensor support, Cloud support, Front panel IO, Multi-range voltage (up to 48V) on a single chip. It also supports an Android application through which we can easily gather information about the vehicles through smartphones. The system is integrated with LTE wireless network and cloud computing technologies. It can perform real-time vehicle status surveillance. The monitored features cover engine rpm, vehicle speed, airbags, active suspension, ABS (Anti Braking System), Gear, light, air conditioning, coolant temperature, fault codes, and other vehicles dynamic information. The vehicle information will be transmitted to the cloud server via a wireless network for fault analysis. Once the cloud server detects fault conditions, the proposed system could classify the fault conditions depending on vehicle type and its model year. Then the cloud server will report the fault code analysis results to the user and describe the repair procedure. The proposed system will greatly shorten the time to detect vehicle trouble conditions. The system presented in this research work has a very high value in the applications of vehicle maintenance and fleet management. The complete designing process will be done using ALTIUM designer 17.0
Enhancing groundwater predictions by incorporating response lag effects in machine learning models
Authors: Yang Fan , Zhang Xinan , Yang Jiabao , Zhang Jun , Dai Qiang , Zhu Shaonan 
Published: January 2025

ABSTRACT
Groundwater is essential for water resources but faces over-extraction and supply-demand imbalance. Precisely comprehending alterations in groundwater is crucial for sustainable development. Groundwater levels demonstrate a delayed reaction to meteorological circumstances, frequently neglected in current research, diminishing predictive accuracy. This study investigates the lag effect of precipitation and evapotranspiration on groundwater forecasting in Hebei Province, China. We performed a lag analysis utilizing long-term data to ascertain correlations between groundwater levels and climatic variables. Two groundwater prediction models using the random forest algorithm were developed, one incorporating the lag effect and the other excluding it. The Shapley Additive exPlanations (SHAP) method assessed the significance of each element and its influence on model variations. Research reveals a notable lag in groundwater response: shallow groundwater reacts to precipitation after 4.55 months and to evapotranspiration after 9.21 months; deep groundwater responds after 5.91 and 9.63 months, respectively. The inclusion of the lag effect resulted in higher accuracy of the model, with an average reduction of 35.7% in MAE and 18.20% in RMSE. The improved model more accurately captured the influence of meteorological factors on groundwater levels, potentially providing more scientific decision support for the rational allocation and sustainable use of water resources.
Achievements and Approaches in the Search for Small-Molecule Dengue NS2B/NS3 Inhibitors
Authors: Thai Khac-Minh , Duong Cuong Quoc , Mai Tan Thanh , Le Minh-Tri , Tran Van-Thanh , Nguyen Phuoc-Vinh , Tuong Lam-Truong 
Published: January 2025

Abstract:
With the escalation of viral infections in recent decades, including the COVID-
19 pandemic, viral infectious diseases have increasingly become a global concern, attracting
significant attention. Among many viral epidemics, the dengue virus, an RNA virus
from the Flaviviridae family, has been reported by the WHO as one of the most prevalent
mosquito-borne diseases, infecting roughly 400 million people yearly and spreading
across all continents worldwide. In the last two decades, researchers from academia and
industry have diligently studied many aspects of the virus, including its structure, life cycle,
potential therapeutic agents, and vaccines. Dengvaxia® and Qdenga®, approved vaccines
for DENV-4, have been a milestone in dengue prevention and treatment. However,
these vaccines have some noticeable drawbacks, including Dengvaxia® being a monovalent
vaccine against DENV-4 with a risk of severe dengue infection following the first
use, Qdenga® being mainly effective for all 4 serotypes only in the cases of previously infected
patients while being effective against only DENV-1 and DENV-2 in dengue-naïve
patients. Additionally, no drug against dengue has been approved. Thus, numerous screening
campaigns have been conducted on both natural and synthesized substances to search
for anti-dengue agents, especially those targeting the virus's key protease (NS2B/NS3), to
mitigate the dengue fever epidemic. As hit screening is only the first step in the drug discovery
and development cycle, subsequent in-depth analyses (using a wide range of approaches
from computational simulations to protein-ligand co-crystallization) have been
conducted to provide more insights into the characteristics of optimal DENV NS2B/NS3
protease inhibitors. This review discusses recent discoveries in the search for novel inhibitors
and highlights the importance of understanding the structural relationship between
hits and the NS2B/NS3 protease for effective lead optimization.
Caminos a Abya Yala: Propuesta Didáctica para el abordaje de Saberes Decolonizadores en las Ciencias Sociales
Authors: Cuenca Almario Yina Sofía 
Published: January 2025

El objetivo de esta investigación fue formular una propuesta didáctica denominada “Caminos a Abya Yala: viajando al diálogo de saberes en el aula” para el abordaje de saberes decolonizadores en las Ciencias Sociales del grado sexto, como un aporte al proceso de construcción de una propuesta real de educación popular en la escuela (Mejía,2013) y la construcción de estrategias didácticas alternativas trabajada desde los intersticios de uno de los dispositivos más eficientes y colonizadores en la escuela: la didáctica.Para este fin se recurrió a la estrategia de Mapeamiento Informacional Bibliográfico (MBI) que arrojó al proceso investigativo tres enfoques conceptuales para guiar la investigación; los saberes descolonizantes, la interculturalidad y el diálogo de saberes; se realizó la selección de un corpus de 41 documentos, la construcción de fichas bibliográficas que permiten el abordaje de saberes descolonizantes en el aula y, por último, la entrega de secuencias didácticas que orientan el trabajo a realizar en el aula, asociadas a los ejes curriculares del área de Ciencias Sociales y un aparte con los criterios de evaluación sugeridos.Nos interesa la forma de conocer y saber de los seres que habitan el universo, los saberes ancestrales que establecen otro tipo de relación con la tierra, los animales y los ciclos vitales, relaciones sistémicas que permiten cambios en la forma de sentir-pensar, y que pueden aportar a cambios en las formas de vida extractivista a la que han sido arrastrados los territorios por causa del “desarrollo” propuesto por Occidente, apunta a la construcción de procesos interculturales mediante los cuales los sujetos visibilicen y cuestionen la colonialidad del saber, una resignificación que comprenda la relación horizontal entre los saberes epistémicos occidentales y los saberes epistémicos ancestrales.
Percepción de imaginarios y caricatura en el contexto colombiano: una propuesta de análisis en el ámbito de la postpandemia
Authors: Diaz Arenas Pedro Felipe , Rodríguez Lugo Johan Andrés , Lozano Cárdenas Félix Joaquín 
Published: January 2025

En el presente artículo se presentan los resultados de análisis de percepción ciudadana sobre imaginarios y caricatura realizado en el contexto colombiano, a partir de un proyecto de investigación que busca comprender los imaginarios sociales en el marco de la postpandemia. En este proceso se pretende disertar sobre la caricatura como género periodístico de opinión en donde el uso de su formato permite comprender y visibilizar el acontecer ciudadano en un momento y lugar determinado. Esta investigación es de carácter cualitativo y pretende generar un análisis de percepción a partir del uso de encuestas y entrevistas a ciudadanos del departamento del Quindío. Se pretende revisar el uso periodístico de la caricatura como formato de opinión y analizar los imaginarios que se crearon en un periodo de tiempo determinado, en el marco de la postpandemia. Finalmente se presenta un análisis de resultados que abre el debate sobre el estudio periodístico de la caricatura editorial como género periodístico de opinión que narra hechos y noticias en un contexto social determinado.
Validación de un tablero de comunicación en el contexto hospitalario
Authors: Monterrey Gómez Marly Yuliana , Pérez Reyes Ginna Viviana , Gómez Rojas Elsa , Romero Ruiz Miriam Lizeth , Vera Antolínez Andreina Constanza , Zambrano Medina Nixon Albeiro 
Published: January 2025

introducción: validar por expertos el contenido de la propuesta del tablero de comunicación, que busca suplir la comunicación de las necesidades humanas según la teoría de virginia henderson en el ambiente hospitalario. Métodos: estudio de carácter descriptivo cuantitativo, con una muestra tomada a criterio de 6 validadores profesionales y técnicos del área de la salud, se obtiene el porcentaje de concordancia e índice de validez de contenido de cada intención comunicativa propuestas para las 14 necesidades básicas resultados: las intenciones comunicativas propuestas dentro de cada necesidad, en su mayoría cumplen con todos los criterios para ser aplicadas por medio de un tablero en el contexto hospitalario; tras el proceso de validación se evidencia que en todas las necesidades básicas se incluyeron más del 50% de las intenciones comunicativas. Análisis y discusión: la comunicación, como elemento clave para brindar servicios de atención médica de alta calidad, conduce a la satisfacción y la salud del paciente; el modelo de Virginia Henderson está diseñado para suplir las necesidades básicas o humanas de personas con condición de salud variable, es aplicado para dar una atención humanizada, donde la comunicación es un factor clave al momento de brindar cuidados de calidad. Conclusión: el tablero de comunicación es válido en su contenido para la aplicación en población hospitalaria con dificultad en la expresión oral y demás patologías que limiten la comunicación, al ser una herramienta aumentativa y alternativa para suplir la comunicación de las 14 necesidades básicas y mejorar la relación y seguridad paciente con personal de salud, que a su vez influye en la recuperación, la estancia hospitalaria y humanización en la atención.
The Illuminated Traveller: A Methodological framework
Authors: K.M.Shirazi Zohreh 
Published: January 2025

The Illuminated Traveller is a practice-oriented project that employs Artificial Intelligence (AI)-driven visual storytelling to explore concepts of Iranian mystical wisdom. The central narrative follows Mana, a young woman seeking a sense of belonging. Throughout her journey, she encounters Farhang, a magical figure who guides her through the intricate layers of Iranian culture, provoking deep inner conflict and reflection as she negotiates her place within it. In this article, I will outline the methodological aspects that inform this work. Grounded in Suhrawardi’s Illuminationism and Sufi philosophies, the project bridges ancient cultural archetypes with contemporary technological narratives.
Methodologically, the research employs self-search techniques, combining personal experience with cultural reflection, while using AI to reimagine Persian mystical traditions in the digital age. The philosophical foundation draws parallels between heuristic research and Illuminationist philosophy, synthesising intuitive knowledge with rational inquiry. The iterative development process, guided by artistic intuition, informs the creation of an authentic cultural narrative. Ultimately, this research seeks to reimagine Persian mystical traditions, resonating with contemporary audiences while maintaining cultural authenticity.
Spring phenological models combining the effects of temperature and photoperiod are successfully transferred to various spatial and temporal scales: a case study of Aesculus hippocastanum L.
Authors: Korsakova Svetlana , Korsakov Pavel , Evstigneev Vladislav 
Published: January 2025

Abstract
On the basis of long-term, high-quality in situ observations on phenological and meteorological data, we parameterised and examined the performances of four single-phase and two two-phase models for the prediction of the leaf unfolding and flowering dates of horse chestnut (Aesculus hippocastanum L.). Amongst models, those combining the effects of temperature and photoperiod showed the best phenophase prediction, suggesting the influence of photoperiod on the leaf unfolding and flowering of A. hippocastanum. The obtained coefficients showed that the effect of photoperiod was greater on leaf unfolding than on flowering. Comprehensive assessment revealed that the single-phase BCdoy model demonstrated the best fitting for both phenophases. This model also showed sufficiently high accuracy and the transferability of results in time and space. The proposed models can be used to predict the spring phenophases of A. hippocastanum in European and Asian countries, where this ornamental tree species is widely used in urban landscaping, and to optimise control methods against Cameraria ohridella Deschka & Dimić (Lepidoptera, Gracillariidae). For C. ohridella, the first flying out of adults after overwintering begins at the onset of horse chestnut leaf unfolding and mass flight occurs during the full flowering period.
Mitigating the oxidative stress caused by UV-B in date palm seedlings: efficacy of salicylic acid and ascorbic acid application
Authors: Swaid Sajeda Yaseen , Shareef Hussein Jasim 
Published: January 2025

Abstract
The date palm is one of the plants whose growth is being affected by global warming through harmful wavelengths of UV radiation. The protective role of salicylic acid (SA) and ascorbic acid (AsA) at physiological (100 and 200 mg l–1) levels was assessed under UV-B (8 hrs day–1) stress in the development and physiological adaptation of date palm seedlings. Three months after treatment with different concentrations of SA and AsA, their effects on growth criteria, pigment content, oxidation stress markers, and enzyme antioxidant activities were studied. Results revealed that both SA and AsA increased the seedling height, leaf width, and dry weight, decreased the level of malondialdehyde and hydrogen peroxide, and increased membrane stability, thereby alleviating oxidant injury. Furthermore, activities of antioxidant enzymes such as peroxidase and ascorbate peroxidase have been upregulated, thereby enhancing the seedlings’ tolerance against stress. The results suggest that foliar SA and AsA application could be an efficient way to alleviate the UV-B radiation stress damage in young date palm plants, therefore providing a possible approach to improving crop resilience in increasingly harsh environmental conditions.
Determination of nitroimidazole and fumagillin residues in honey employing Liquid Chromatography-Tandem Mass Spectrometry: An insight in the 2023-2024 Greek honey production
Authors: Manea-Karga E. , Kanteli F. , Papadopoulou E.A. , Machera K. , Kasiotis K.M. 
Published: January 2025

Summary
Honey bees (Apis sp.) are vital to ecosystems, enhancing agricultural productivity and preserving biodiversity. However, the observed decline of their populations, caused by, among other, Nosema infections has led to the use of the antibiotics fumagillin and nitroimidazoles. Nonetheless, due to increasing concerns over their genotoxic, mutagenic, and carcinogenic properties, the presence of fumagillin residues in honey is prohibited, while similar is the case for the parent nitroimidazoles and their metabolites in animal-derived food. Within this context and considering the limited availability of pertinent data on Greek honey, we have developed and applied robust analytical methods for the detection of fumagillin and nitroimidazole residues in honey, employing liquid chromatography-tandem mass spectrometry (LC-MS/MS). The developed protocols, based on solid phase extraction, proved fit for the purpose of detecting fumagillin and nitroimidazoles in honey samples with substantial sensitivity (detection capability, CCβ not exceeding 0.78 μg/kg), comparable to recent literature, and could be applied in routine analyses to ensure consumers’ safety. Application of the methods in 30 Greek honey samples did not unveil residues above the CCβ of the analytes, and the developed pipeline can be further exploited in future large-scale monitoring studies to investigate Greek apiculture and its adherence to regulatory obligations.
Идентификация параметров SEIR-подобной эпидемиологической модели с помощью итеративно регуляризованного метода Гаусса–Ньютона
Authors: Кокурин М.М. , Гаврилова А.В. , Абду Р.Ч.М. 
Published: January 2025

В статье изучается вопрос о восстановлении коэффициентов SEIR-подобных эпидемиологических моделей на основе данных эпидемиологической статистики. Предлагается подход к решению этой задачи, основанный на итеративно регуляризованном методе Гаусса–Ньютона, а также его модификации, позволяющей находить квазирешения нелинейных операторных уравнений. Учитываются различные виды погрешностей в эпидемиологической статистике. Обсуждается возможность прогнозирования распространения эпидемий, а также определение показателей ее заразности и опасности.
We study the problem of identifying the coefficients based on known statistical data for a SEIR-like epidemiological model. The proposed approach to solving this problem is based on the iteratively regularized Gauss–Newton method. We also use one modification of this method, which is able to find quasi-solutions of nonlinear operator equations. We take into account various types of errors in epidemiological statistics. The possibility of predicting the spread of epidemics, as well as determining indicators of its contagion and danger, is discussed.