bluuebunny/crossref_metadata_2025_split huggingface dataset:
First report of the Uvigerinids of the Central Equatorial Indian Ocean
Authors: Vijay Puja , Nisha Neelakantan Ravindran 
Published: January 2025

ABSTRACT
The Central Equatorial Indian Ocean (CEIO) is known for its cross-basin exchange since it is influenced by both southwest and northeast monsoon. The present investigation is the first report of the Uvigerinids of CEIO. Here, we document the complex morpho diversity of Uvigerinids and propose a classification based on surface ultrastructure. The twenty seven Uvigerinid species were recorded through the present study and sixteen of them are reported for the first time from the CEIO. The recorded new species are Uvigerina rustica, U. ampullacea aff. auberiana, U. farinosa, U. mantaensis, Siphouvigerina ampullacea aff. aculeata, Siphouvigerina pseudoampullacea, U. lappa, Uvigerina aff. mexicana, U. macrocarinata, U. tumeyensis, U. cubana, U. cocoaensis, U. continuosa, U. flintii, U. semiornata urnula, Hopkinsina shinboi. Based on the various morpho classifications available for Uvigerinids from the World Oceans, we propose to classify the recorded Uvigerinids into hispid-spinose, spinose-pustulous, spinose-costate, serrate-costate, platy-costate, and miscellaneous species. The distribution pattern of Uvigerinids in the study area suggests the CEIO exhibits moderate to high productivity, upwelling and is significantly influenced by glacial-interglacial cycles. This preliminary investigation suggests that CEIO can be a unique area to investigate the evolutionary trajectory of Uvigerinids from the Tertiary period to Recent times.
REE-Mineralization in the Ankeritic Carbonatite Vein in Sövite in Amba Dongar, Gujarat, India
Authors: Viladkar Shrinivas G. 
Published: January 2025

ABSTRACT
Sövite and ankeritic carbonatite are the main source of rare earth elements in the Amba Dongar carbonatite complex. The mineralogy and mineral chemistry of a single vein of ankeritic carbonatite invading sövite is presented. Along with REEminerals – bastnäsite and synchysite, apatite, pyrochlore, barite and carbonates are also analyzed.
Comparing the frequency of anemia in rheumatoid arthritis and axial spondyloarthritis patients and its relationship with hemogram parameters
Authors: Yilmaz Ebru , Pasin Özge 
Published: January 2025

Background: To compare the frequency of anemia in rheumatoid arthritis (RA) and radiographic axial spondyloarthritis (r-axSpA) patients and to investigate its relationship with hemogram parameters used as inflammation markers.
Methods: The study included 87 RA patients and 116 r-axSpA patients. Characteristics of the patients, hemogram parameters (neutrophil-lymphocyte ratio 'NLR', platelet-lymphocyte ratio 'PLR', systemic immune-inflammation index 'SII', red blood cell distribution width 'RDW' and mean platelet volume 'MPV'), laboratory parameters (erythrocyte sedimentation rate 'ESR' and C-reactive protein 'CRP') and indices (Disease Activity Score in 28 Joints (DAS-28) for RA and the Bath Ankylosing Spondylitis (AS) Disease Activity Index (BASDAI) and AS Disease Activity Score with CRP (ASDAS-CRP) for axSpA) were recorded.
Results: The mean age for RA and r-axSpA patients was 55.8±12.0 and 43.8±10.1 years. Anemia was present in 47.1% of RA patients and 31.9% of r-axSpA patients and more prominent in RA patients (p=0.030). There was a significant female gender superiority in those with anemia in r-axSpA patients (p<0.001). ESR, PLR, SII and RDW values were significantly higher in patients with anemia in the RA (p=0.002, p=0.048, p=0.035, p<0.001, respectively), whereas only ESR was significantly greater in patients with anemia in the r-axSpA (p=0.012). There was no significant difference between disease activity and anemia in both disease groups.
Conclusions: Although the frequency of anemia was not affected by disease activity, female gender involvement was prominent. The increase in ESR and RDW values may reflect the possibility of developing anemia in rheumatic diseases.
Medical students’ perception of the use of artificial intelligence in medical education
Authors: Wobo Kiniyiruchi Nelson , Nnamani Ifeoma Ogonna , Alinnor Ezioma Anne , Gabriel-Job Nneka , Paul Nsirimobu 
Published: January 2025

Background: Artificial Intelligence (AI) refers to technology that can efficiently perform tasks that typically require human intelligence, such as decision-making, teaching, object detection, and solving complex problems. As a veritable tool in medical education, this study was conducted to assess medical students’ awareness, perception and usage of AI in learning.
Methodology: This study was conducted at the Department of Paediatrics, University of Port Harcourt Teaching Hospital (UPTH). The subjects were one hundred and thirty-nine 5th-year medical students who had completed 3 months of Paediatrics and Obstetrics/Gynaecology clinical rotations. Data was collected using a semi-structured, open-ended questionnaire. Data were analysed using IBM SPSS Statistics version 26. Statistical significance was set at p value<0.05.
Results: 64 (46%) of the respondents are aware of AI. 57 (44%) of respondents applied AI during their clinical training. The most commonly used AI tool is Chatbots. 57(100%). The major limitations to AI use were unreliable internet connectivity (62%) and the high cost of AI hardware and software (53%). Most respondents (68%) expressed ethical concerns about the use of AI. There was a statistically significant relationship between awareness of AI and the use of AI in learning (p=0.0001)
Conclusion: This study demonstrates average awareness of AI's use and benefits among medical students. The major limitations to using AI were unlimited internet connectivity and the cost of AI tools. To maximize the benefits of AI in medical education in developing countries, medical schools need to increase their awareness and infrastructural capacity.
Ventricular bigemini in a patient with serologically positive dengue hemorrhagic fever
Authors: N. R. Salini , S. Srikantan 
Published: January 2025

Dengue epidemic is a major health problem in India. In expanded dengue syndrome major organs involvement and atypical manifestations have been increasingly reported. Cardiac involvement in dengue ranges from benign arrhythmias to fatal fulminant myocarditis. ECG changes usually secondary to myocarditis. Most common ECG abnormality Is bradycardia. Other ECG findings are ST segment depressions and elevation T wave abnormalities, sinus pauses ventricular ectopics, ventricular trigeminy, atrial fibrillation, heart blocks such as first-degree block and Mobitz type I second-degree AV block and bundle branch blocks. Most of the cardiac abnormalities are transient, but sometimes it can aggravate pre-existing conditions and even be fatal. So, assessing cardiac involvement in dengue patients is important for appropriate management. We are reporting a 55-year-old patient with dengue haemorrhagic fever presenting with ventricular bigeminy symptoms and markers indicative of cardiac compromise which improved after 1 week.
Children’s Accident Prevention System Based on Real-time Video Interpretation and GPS Information
Authors: Park HyunJoo , Jeong Seungdo 
Published: January 2025

This paper proposes a smart badge system for children's safety. We implement semantic segmentation technology, GPS-based location tracking, and safety zone setting functions. First, we implemented a situational notification function using semantic segmentation technology. This system analyzes the child's surrounding environment in real-time to detect dangerous situations and provides immediate notification through a badge for children. This can raise children's traffic safety awareness and prevent jaywalking. Additionally, semantic segmentation technology, which can accurately recognize and classify objects in images, dramatically improves the accuracy of situational judgment. This can reduce unnecessary notifications and provide reliable notifications about actual risk situations. GPS-based real-time location tracking and safety zone setting functions were implemented. The child's real-time location can be checked on the guardian app through the GPS sensor built into the child's badge. This allows continuous monitoring of the child's safety status. Additionally, setting a child's safety zone in the guardian app immediately sends a notification to the guardian when the child leaves the safety zone, enabling crime prevention and rapid response. GPS-based technology improves the user experience by making it easier for guardians to determine their child's location. This system can be applied to various environments and situations and expanded to other child safety services. Additionally, the safety zone setting function helps relieve guardians' anxiety. This can be said to present an innovative solution to child safety.
Big Data Analytics Quality Factors in Enhancing Healthcare Organizational Performance: A Pilot Study with Rasch Model Analysis
Authors: Mohd Nasir Wan Mohd Haffiz , Jusoh Yusmadi Yah , Abdullah Rusli , Abdullah Salfarina 
Published: January 2025

Big Data Analytics (BDA) plays a pivotal role in the digital transformation of healthcare, significantly boosting organizational performance within the sector. As healthcare organizations increasingly adopt BDA to leverage data-driven decision-making, understanding the factors contributing to BDA quality becomes imperative. Thus, this study has proposed and developed the BDA quality conceptual model, and a pilot study is part of the process of completing the conceptual model development. The instrument, which is the questionnaire that has been designed, needs to be tested for reliability. Therefore, the pilot study aims to evaluate and refine the instrument used to assess BDA practitioners’ comprehension of the constructs and the reliability of the items. This study utilized the probabilistic approach of Item Response Theory (IRT), explicitly employing the Rasch Measurement Model analysis to enhance the accuracy of measurement instruments, assess respondents' performance, and ensure instrument reliability. The survey instrument comprised 11 constructs and 64 items, which were designed to measure all the constructs: reliability, accuracy, completeness, timeliness, format, accessibility, usability, maintainability, portability, user satisfaction, and healthcare organizational performance. Data were collected from 20 respondents and synthesized according to their responses to each questionnaire item. The analyses were performed using Rasch analysis software, specifically Winsteps. The results of the Rasch analysis included findings on the reliability of persons and items, the distribution map of person-item relationships, identification of misfitting items, and assessment of unidimensionality. Ten items were removed from the initial set of 64 due to misfit, leaving 54 items that effectively measured respondents' understanding of BDA quality in healthcare organizational performance. Thus, Rasch measurement model analysis has confirmed the instrument was well constructed, valid, and reliable for actual study.
Solar Photovoltaics Efficiencies on Net Zero Energy House at Greater Jakarta
Authors: Chandra Budijanto , Purwanto L.M.F. , Muljadinata Albertus S. 
Published: January 2025

The previous few decades have seen increasing aggravation of the contemporary environmental problem, climate change. Climate change caused by the accumulated emission of fossil fuels that we call greenhouse gases into the atmosphere has caused an increasing significance on the earth's temperature, which will cause natural disasters and environmental damage. Net zero energy buildings, primarily net zero energy houses, are very effective at reducing the consequences of climate change because of their notable reductions in energy consumption and reliance on renewable energy sources. Nonetheless, Indonesia still needs to adopt net-zero energy homes. Research on the most efficient solar PV installation methods for achieving net zero energy homes in Indonesia, particularly Jakarta, still needs to be initiated. This research aims to find the optimal tilt angle and orientation of solar photovoltaic (PV) energy production on house roofs to achieve the goal of a net-zero energy house. Experiments on solar PV installations were conducted in Jakarta residential areas to analyze and find the ideal tilt angle and orientation of solar PV panels for the Jakarta Area. A finding of effective solar PV installation and how it applies to net zero energy targets is also a novelty of this research. This study's contribution and impact on architects in designing a net zero energy house will relate to the area and form of the house roof. Furthermore, it hopes to have implications for future research on other building typologies and alternatives to renewable energy.
Metaverse-based Field Evidence Analysis Integrated Management System
Authors: Kim Hee-Chul 
Published: January 2025

This study studies metaverse-based field evidence management devices and methods. This is done by analyzing events that occur within the metaverse space. This relates to a metaverse-based field evidence management device and method that can collect and manage evidence in an integrated manner. Metaverse refers to a virtual world that transcends reality. The metaverse-based field evidence management method is a step of collecting images in the metaverse space, analyzing the types of accidents that occur at the scene of an incident, and analyzing the behavioral characteristics, subjects, and objects that correspond to the kinds of accidents. In the case of fire scenes, there are many difficulties due to police control. To prepare for such cases, check and analyze scan data. Evidence at the fire scene can be preserved and confirmed even after the scene has been cleaned up. This is to create a system where experts in each field can jointly investigate and discuss in the metaverse space. In addition, real-world users use avatars within the metaverse space as their alter egos. We can perform various activities with our avatar in the metaverse space. Meanwhile, avatars operating in the metaverse space are controlled by users in the real world, and users can commit criminal acts within the metaverse space through avatars. In addition, it enhances field preservation and evidence analysis by creating 3D sites for incidents and accident sites, increasing the collaboration of experts and the efficiency of forensic science in the virtual space. With the acceleration of digital transformation, it can contribute to fostering a practical AI technical workforce that can be put into the field.
Construções de mudança de estado: estudo contrastivo entre italiano e português
Authors: Spinosa Andressa , Lima Maria Claudete 
Published: January 2025

Tanto em italiano como em português, a mudança de estado pode ser codificada por verbos simples, verbos pronominais e perífrases formadas por verbos de valor incoativo e termo de valor atributivo (adjetivo, particípio ou locução adjetiva). Este estudo contrastivo visa analisar construções de mudança de estado em italiano correspondentes a construções com ficar em português que também codificam mudança, a fim de verificar que motivações semântico-pragmáticas subjazem aos usos das variadas formas de codificação e qual a forma predominante de codificar mudança em italiano. Para isso, analisa-se, sob uma abordagem cognitivo-funcional (Langacker, 1991; Croft, 1994; Givón, 1993, 1995; Geeraerts, 2007), 108 ocorrências retiradas de contos da autora Clarice Lispector nas suas versões original e traduzida para o italiano por Francavilla (2021). Os resultados da pesquisa mostram que o italiano codifica mudança predominantemente por perífrase formada com os verbos rimanere, restare, diventare e farsi + adjetivo. Observou-se ainda uma tendência a estados permanentes serem codificados por rimanere, farsi ou restare e estados transitórios por diventare
Matriz Recombinativa para o Ensino de Indivíduos com Transtorno do Espectro do Autismo: Revisão Sistemática
Authors: Picharillo Alessandra Daniele Messali , Elias Nassim Chamel 
Published: January 2025

Dentre os procedimentos de ensino para diversos repertórios a pessoas com Transtorno do Espectro do Autismo (TEA), os que têm como base o ensino por matriz tem sido encontrado nas buscas sobre o tema. A principal vantagem do ensino por matriz refere-se à economia de ensino produzida pela recombinação de estímulos e emergência de novos repertórios. Portanto, este estudo teve como objetivo identificar estudos que avaliaram o ensino matricial com indivíduos com TEA a partir de 2017 até 2022, partindo dos critérios de uma revisão sistemática anterior. Foram selecionados, lidos e analisados para esta revisão sete artigos. Os resultados sugerem que o ensino por matriz é um procedimento eficiente e eficaz, utilizado principalmente para aumentar o repertório de comunicação e melhorar a interação social. Sugere-se que novas revisões sejam realizadas, ampliando os termos de busca, uma vez que o objetivo principal foi encontrar novos estudos compondo o estudo anterior.Palavras-Chave: Educação especial, matriz recombinativa, ensino por matriz, transtorno do espectro do autismo.
Treinamento de Aplicadores Via Vídeo Modelação para Implementação de Ensino por Tentativas Discretas
Authors: Santini Giovanna Jangarelli , Elias Nassim Chamel 
Published: January 2025

O ensino por tentativa discreta (DTT, do inglês Discrete Trial Teaching) é uma das 28 práticas baseadas em evidência para autismo. Porém, as intervenções baseadas em Análise do Comportamento Aplicada possuem um alto custo para as famílias, tornando-a de difícil acesso. Uma forma de facilitar o acesso a essas intervenções seria a formação de um número maior de profissionais. A vídeo modelação, que utiliza tecnologia audiovisual para demonstrar comportamentos alvos que devem ser implementados pelo aprendiz no momento ou após a demonstração, surge como uma estratégia promissora para o treinamento de aplicadores de DTT. Portanto, o objetivo deste estudo foi verificar os efeitos da vídeo modelação no desenvolvimento de comportamentos de aplicadores na implementação de DTT para ensino dos protocolos de tato, imitação motora e escolha de acordo com o modelo e a generalização do ensino de um dos protocolos na aplicação com crianças com autismo. Participaram da pesquisa três indivíduos adultos que não tiveram contato prévio com esse modelo de ensino. Foi utilizado o delineamento de múltiplas sondas com os dados analisados visualmente em cada etapa do estudo. Os resultados indicam uma melhora significativa no desempenho de todos os participantes na aplicação dos protocolos após ensino utilizando vídeo modelação comparando os dados de linha de base com os de sonda. Palavras-chaves: Educação Especial, Ensino de Aplicador, Vídeo Modelação, Ensino por Tentativas Discretas, Transtorno do Espectro do Autismo.
Métodos de Ensino Práticos Para Análise do Comportamento: Uma Revisão de Escopo
Authors: Sousa Breno Tomás de Aquino , Santos Murilo Da Cruz , Rosas Alex Jonatas dos Santos , Vichi Christian 
Published: January 2025

Existem diversas propostas de ensino prático de análise do comportamento, desde o clássico laboratório operante com uso de animais (e.g. Rattus norvegicus), até o uso de alternativas virtuais (e.g. Sniffy, CyberRat) e práticas com humanos (e.g. PORTL). O presente estudo teve por objetivo mapear as publicações empíricas acerca de métodos de ensino práticos para análise do comportamento entre os anos de 1938 e 2023. Foi realizada uma revisão de escopo com buscas nas bases de dados PsycNet e ERIC com resultado de 779 artigos encontrados. Após a triagem e avaliação de elegibilidade, cinco artigos foram incluídos na revisão. Destes cinco artigos, duas publicações investigaram mais de um método de ensino, sendo incluídas em duas categorias de análise simultaneamente, dessa forma, três artigos trataram do ensino de Análise do Comportamento utilizando não humanos, três utilizaram softwares e um utilizou seres humanos. Os estudos incluídos investigaram a preferência dos estudantes por determinado modelo de prática, a eficácia de propostas de ensino e a opinião dos estudantes sobre a utilização de um modelo de prática. Sugere-se que a baixa frequência de estudos empíricos sobre métodos de ensino prático não permite tirar conclusões precisas a respeito da sua eficácia. Palavras-chave: ensino prático, análise do comportamento, laboratório operante, práticas de laboratório.
La gestion adaptative comme approche pour améliorer la performance des projets de développement rural au Cameroun
Authors: Hubert Bessi Aboganina , Julio César Martínez Espinosa 
Published: January 2025

L'objectif principal de cet article est de satisfaire à la nécessité d'améliorer les performances des projets de développement, ce qui contribue à l'efficacité de l'aide publique. Cette question est au cœur des préoccupations du gouvernement camerounais qui fait face au défi permanent d’améliorer les conditions de vie de sa population rurale. L’approche d’étude est explicative et s’attache à identifier les causes du problème afin de faire des propositions qui tiennent compte de l’incertitude rencontrée par la plupart des projets de développement. Après la revue de la littérature, l’état de l’art et le diagnostic, l’analyse des données met en évidence la nécessité de faire face aux risques dans la gestion des projets de développement. L’accent est donc mis sur la gestion adaptative qui propose un cadre managérial dont la performance dépend de la capacité de l’équipe projet à faire face aux risques et aux incertitudes tout au long du cycle de vie du projet. Loin d’ignorer les aspects techniques et les mérites des approches standards traditionnelles telles que le Cadre Logique (CL) utilisé dans la plupart des projets de développement au Cameroun, la gestion adaptative est une approche managériale qui s’adapte aux projets complexes tels que les projets de développement rural en mettant l’accent sur l’apprentissage et la prise de décision structurée pour résoudre les problèmes dans des contextes d’incertitude permanente.

This article aims to address the necessity for enhancing the performance of development projects, thereby contributing to the efficacy of public development assistance. This question is at the heart of the Cameroon government's concerns, which faces the permanent challenge of improving the living conditions of its rural population. The study has an explanatory approach and concentrates on determining the root causes of the issue in order to provide recommendations that consider the unpredictability that most development projects face. Following the review of the literature, the state of the art, and the diagnosis, the analysis of the data highlights the need to face risks in the management of development projects. The emphasis is therefore placed on adaptive management, which offers a managerial framework whose performance depends on the ability of the project team to deal with risks and uncertainties throughout the project life cycle. Far from ignoring the technical aspects and the merits of the traditional standard approaches, such as the logical framework used in most development projects in Cameroon, adaptive management is a managerial approach that adapts to complex projects, such as rural development projects, with an emphasis on learning and structured decision-making to solve problems in contexts of permanent uncertainty.