bluuebunny/crossref_metadata_2025 huggingface dataset:
Synergizing FEM with AI: Leveraging Dense Neural Networks, Random Forests, and SHAP for Enhanced Feature Importance Analysis in Long-Term Arch Dam Displacement Prediction
Authors: Babaadi AM , Mirzabozorg H , Baharan K
Published: February 2025

This study combines advanced machine learning techniques with finite element modeling to analyze the structural behavior and displacement of a super-high concrete arch dam. By integrating finite element analysis, dense neural networks, and random forest approaches, the research determines the relative importance of factors influencing dam displacement over long-term operations. The study utilizes SHAP (SHapley Additive exPlanations) values to interpret the results, providing deeper insights into how each factor contributes to the model's predictions. The findings highlight lake level as the most significant factor, followed by thermal effects and creep, demonstrating the potential of this integrated approach for enhancing structural health monitoring of large infrastructure projects.
Unraveling the contribution of G x E x M interactions to maize productivity in Central Mozambique amid climate change
Authors: Leonardo Wilson Jose , Silva João Vasco , Nagarajan Latha , Singh Upendra
Published: February 2025

Maize (Zea mays L.) is the most important cereal staple in sub-Saharan Africa. Yet, smallholders only produce about 20% of what is biophysically possible with agronomic best practices. On-farm researcher- and farmer-managed experiments were conducted in two consecutive cropping seasons in Central Mozambique to disentangle the relative contribution of genotype-by-environment-by-management (G x E x M) interactions to smallholder maize yields in relation to improved varieties, sowing time, and fertilization regime. In the 2022-2023 cropping season, maize yield variability on fertile fields was explained by a three-way interaction between fertilizer regime, sowing date, and variety, whereas on infertile fields, it was explained by fertilizer regime only. The highest yields were obtained with early sowing of a medium- (3.6 t ha-1) or early- (3.1 t ha-1) duration variety, whereas late sowing yielded the least (1.6 t ha-1). In the 2023-2024 cropping season, characterized by El Nino-induced drought, yield variability on fertile fields was explained by variety, with the highest yield associated with the medium-duration variety, and on infertile fields by fertilizer regime. On farmer-managed experiments, maize yield variability was attributed to variety and fertilizer. Profitability with the improved varieties and mineral fertilizers tested depended upon soil fertility and the magnitude of water limitation on maize growth, with trade-offs arising between food security and return on investment in improved genetics and agronomic management. Targeting medium-duration maize varieties in combination with early sowing and nutrient inputs was found to be critical for food security amid climate change.
Introns increase gene expression in Caenorhabditis elegans by a notably different mechanism than in plants
Authors: Rose Alan B. , Baer Aaron , Shaker Isaac , Monroe J. Grey , Korf Ian , Rose Lesilee S.
Published: February 2025

The wide diversity of organisms in which introns stimulate gene expression suggests that this is an ancient phenomenon. However, the mechanisms through which introns boost expression remain poorly understood, and the degree the which the action of introns is evolutionarily conserved is unknown. Here we compared the effect on expression of introns at different positions and tested ten different introns at the same location in a reporter gene in single-copy transgenic nematodes. The introns boosted expression most when near the start of the gene, as previously observed in several organisms. All ten introns tested at the same position increased mRNA accumulation 10- to 17-fold, in contrast to plants where introns vary widely in their effect on expression and relatively few increase mRNA levels 10-fold or more. These results suggest that some aspects of the mechanisms through which introns boost expression are fundamentally different in nematodes and plants.
The puncture model and clinical application of laparoscopic ultrasound-guided liver tumor ablation
Authors: Zhang Yin , Wang Yi
Published: February 2025

Laparoscopic ultrasound (LUS) -guided ablation of liver tumors is an important method for the treatment of hepatic neoplasms. This technique involves needle insertion from the lateral side of the ultrasound probe, and selecting the appropriate puncture point presents certain challenges. The right-angle wedge model can effectively demonstrate this puncture process. This study aims to analyze the clinical efficacy of microwave ablation for liver tumors under LUS guidance and to provide a quantitative description of the right-angle wedge model. A total of 13 patients with small liver carcinoma participated in this study. None of these patients experienced significant complications postoperatively, such as bleeding, jaundice, or intestinal injury. Comparisons between preoperative and postoperative day two laboratory indicators revealed a significant increase in alanine aminotransferase levels [32 (15, 62.5) U/L vs. 135 (81, 319.5) U/L], which was statistically significant (P=0.02). Follow-up magnetic resonance imaging (MRI) enhancement one month after surgery indicated that all tumors had been completely ablated. Furthermore, through our research on the right-angle wedge model, we established that by knowing the position of the LUS probe, scanning plane, and angle of needle insertion, it is possible to calculate specific points from which target locations can be reached. In conclusion, LUS-guided liver tumor ablation is conducted safely and effectively under dual visualization provided by both laparoscopy and LUS throughout the procedure. Considering the need for puncture from the side of the LUS probe, this technique requires a solid three-dimensional understanding; based on our models and research, we are able to identify precise puncture points that facilitate rapid completion of both puncture and ablation procedures.
Factors Associated with Persistent Biliary Leaks After Successful ERCP in Trauma Patients
Authors: Chua Justin-James , Cortes Pedro , Alipour Omeed , Adebamiji Adaku , Balmadrid Bryan L. , Tomizawa Yutaka
Published: February 2025

Purpose
Biliary leaks are commonly caused by abdominal trauma, which can be managed by endoscopic retrograde cholangiopancreatography (ERCP). The data on factors associated with persistent biliary leaks after successful ERCP is scarce. We aimed to describe the factors associated with persistent biliary leaks.
Methods
A retrospective study of an academic level 1 trauma center was conducted on patients presenting with abdominal trauma and had a biliary leak managed with ERCP. The primary outcome was a persistent biliary leak, defined as needing an additional ERCP excluding stent removal.
Results
A total of 76 patients were included, 15.8% of which had a persistent biliary leak requiring additional ERCP. A higher INR at admission (1.6 vs 1.3, p = 0.035), lower sodium at ERCP (135 vs 137 mEq/L, p = 0.045), longer percutaneous abdominal drain time (66 vs 27 days, p = 0.006), longer biliary stent time (98 vs 67 days, p = 0.071), longer ICU stay (17 vs 10 days, p = 0.077), and longer post-ERCP hospital stay (24 vs 11 days, p = 0.078) were associated with a persistent biliary leak. The type of surgery on admission, liver injury grade, and biliary leak site were not associated with a persistent biliary leak.
Conclusions
Persistent biliary leaks occurred in 15.8% of trauma patients even after successful ERCP. A longer time of either internal or external biliary drainage time along with extended hospital stay was associated with a persistent biliary leak, however type of surgery on admission, liver injury grade, and biliary leak site were not associated with a persistent biliary leak.
Knowledge Workers and Regional Economic Disparities in Italy: A Data-Driven Analysis
Authors: Leogrande Angelo , Drago Carlo , Costantiello Alberto
Published: February 2025

The article analyzes knowledge workers' values across Italian regions. Metric analysis is carried out by using the ISTAT-BES database. To assess whether any regional grouping is present, based on knowledge worker values, the paper applies clustering by using the k-means algorithm and then optimizes it with the Silhouette coefficient. The data show that the optimal number of clusters corresponds to k=3, but this corresponds to a suboptimal value of the Silhouette coefficient. It is followed by the panel data analysis in order to check for the metric relationships between knowledge worker values and a set of innovation-related variables observed in Italian regions. The results show that knowledge worker values increase with the presence of cultural and creative employment and regular internet users, while they decrease with higher household internet access, increased mobility of university graduates, and research intensity. Finally, a machine learning analysis identifies the most efficient algorithm in prediction the future value of knowledge workers by optimizing the metrics R-squared and Mean Absolute Error. Findings also come with a discussion in the context of the North-South divide that characterizes Italian regions.
JEL CODE: O3, O31, O32, O33, O34
The Impact of Big Five Personality Traits on AI Agent Decision-Making in Public Spaces: A Social Simulation Study
Authors: Ren Mingjun , Xu Wentao
Published: February 2025

This study investigates how the Big Five personality traits influence decision-making processes in AI agents within public spaces. Using AgentVerse framework and GPT-3.5-turbo, we simulated interactions among 10 AI agents, each embodying different dimensions of the Big Five personality traits, in a classroom environment responding to misinformation. The experiment assessed both public expressions ([Speak]) and private thoughts ([Think]) of agents, revealing significant correlations between personality traits and decision-making patterns. Results demonstrate that Openness to Experience had the strongest impact on information acceptance, with curious agents showing high acceptance rates and cautious agents displaying strong skepticism. Extraversion and Conscientiousness also showed notable influence on decision-making, while Neuroticism and Agreeableness exhibited more balanced responses. Additionally, we observed significant discrepancies between public expressions and private thoughts, particularly in agents with friendly and extroverted personalities, suggesting that social context influences decision-making behavior. Our findings contribute to understanding how personality traits shape AI agent behavior in social settings and have implications for developing more nuanced and context-aware AI systems.
INVESTIGATION SUR LA DISTRIBUTION ET LA QUALITE DES PRODUITS DERIVES DE MANGUE VENDUS DANS LA VILLE DE OUAGADOUGOU AU BURKINA FASO
Authors: Marie Judith Samadoulougou-Kafando Pingdwinde , Kante-Traore Hyacinthe , Alima Esther Traore Mah , Banga Sophie , Sawadogo-Lingani Hagretou , Kabore Donatien
Published: February 2025

Les produits derives de la mangue fabriques par les unites de transformations artisanales locales ne sont pas toujours bien percus par les distributeurs et les consommateurs. Le present travail a pour objectif de contribuer a identifier les criteres dachats des produits de la mangue et apporter une meilleure connaissance de la qualite de ces produits. Pour ce faire, des donnees quantitatives et qualitatives ont ete collectees aupres des commercants des produits de la mangue sous forme denquetes/entretiens. Des echantillons ont egalement ete collectes afin de verifier la conformite par rapport aux specifications des differents produits derives. Selon les resultats de lenquete, le nectar, la confiture, les jus, la mangue sechee et le vinaigre sont les produits derives de la mangue vendus dans la ville de Ouagadougou. Le nectar sest revele etre le produit le plus repandu sur le marche et vendu par 99 % des personnes interrogees. Selon les repondants, les principaux criteres dachat sont la qualite du produit et sa duree de conservation. Le controle de la qualite montre que les teneurs en matiere seche soluble des jus, nectars et confitures de mangue sont comprises entre 4,38 et 12,47%, 5,40 et 15,30 % et entre 49,56 et 63,72 % respectivement. Les teneurs en eaux des mangues sechees ont varie de 12,31 % a 21,43 %. Cette investigation apporte des donnees de base qui pourront contribuer au developpement de nouvelles strategies pour favoriser la consommation des produits derives de la mangue.
Pielęgniarki versus ratownicy medyczni
Authors: Piszczygłowa Bernadeta
Published: February 2025

Sytuacja na rynku usług medycznych powoduje, że koniecznym jest znalezienie rozwiązania w zakresie zmniejszenia deficytu w zatrudnieniu pielęgniarek w szpitalach oraz innych podmiotach leczniczych. Jedną z możliwości ograniczenia deficytu jest zastąpienie pielęgniarek ratownikami medycznymi. Obecnie ta możliwość dotyczy jedynie wybranych oddziałów szpitalnych. Niniejszy artykuł ma na celu przedstawienie problemu oraz możliwości jego rozwiązania z uwzględnieniem informacji pozyskanych podczas przeprowadzonych wywiadów pogłębionych.
Mentalization: An Overview of the Concept
Authors: Fitzgerald Anna
Published: February 2025

The phenomenon of mentalization is currently widely discussed from various perspectives and approaches. This article is a short review of the creation and understanding of the concept from the perspective of various practices and needs and as a human ability that develops in early childhood. Mentalization is directly related to the theory of mind, which includes child and human development, and attachment theory, which provides the patterns for this ability. A person’s dimension within the spectrum of mentalization indicates a broader or more limited perception of reality, of what is happening to them, and of what influences others’ intentions. In other words, it involves how a person reads their situation and interprets what brought them to the point where they are and what intentions and reasons they attribute to the other person in a relationship. The dimensions of mentalization show in detail how its development in an individual affects various areas of observation and experience and, consequently, the individual’s perceivedwell-being. By analyzing attachment styles in the development of mentalization, researchers can identify the influence and quality of mentalization in people with different attachment styles, indicating different scopes of mentalization. Naturally, the greatest quality is attributed to the secure attachment style. Mentalization as a function of traits presents a perspective on how different mental systems can coexist with each other, while simultaneously activating many styles and a range of thinking. Mentalization that develops  incorrectly leads to psychopathology and most studies refer to borderline disorders. Finally, the article addresses the therapeutic aspect of psychotherapy and its impact on mentalization: its development, plasticity, and biological functions. This short introduction to the issue of mentalization, although it only approaches the entire depth of the topic, is a kind of inspiration to look at many aspects of mentalization and to explore them in the dimensions of human functioning mentioned in the literature.
Previsão do desempenho de um sistema solar fotovoltaico conforme dados meteorológicos da região
Authors:   , Rocha Amanda Suianny Fernandes
Published: February 2025

A energia solar fotovoltaica tem sido disseminada em todo o mundo, e no Brasil essa fonte de energia vem ganhando um espaço considerável nos últimos anos, sendo impulsionada, sobretudo, pelas crises energéticas que o país enfrenta. O uso dos sistemas fotovoltaicos proporciona diversas vantagens, tanto ao consumidor final quanto ao país, contribuindo para diversificação da matriz energética e redução da dependência por fontes fósseis. Porém, atrelado aos benefícios, como em todo sistema real, quando instalados em regiões com baixa incidência de irradiação solar essa tecnologia apresenta perda na eficiência de geração de energia. Logo, se faz necessário realizar um estudo prévio das condições climáticas do local onde o sistema fotovoltaico será instalado. Como alternativa à essa consideração, poder-se-ia realizar um estudo da previsão da produção de potência antes da sua instalação, a partir das informações climáticas locais que influenciam diretamente na geração de potência, verificando a viabilidade da implantação do sistema, e evitando um investimento sem retorno. Sendo assim, o presente trabalho tem como objetivo, realizar a previsão da viabilidade de instalação de sistemas fotovoltaicos em outras localidades, por meio de uma Rede Neural Artificial (RNA). Para isso, foi utilizado como modelo um sistema fotovoltaico de 3kWp localizado no Campus Leste da Universidade Federal Rural do Semi-Árido (UFERSA), com o intuito de prever o seu comportamento quando instalado nos estados do Rio Grande do Sul e Pernambuco. A RNA foi treinada e validada com o auxílio do Matlab®, e os treinamentos foram implementados inserindo como variáveis de entrada os dados de temperatura e irradiação solar da cidade de Mossoró-RN, fornecidos pela estação meteorológica da UFERSA, e a potência elétrica gerada do sistema fotovoltaico foi inserida como variável de saída. Visando ampliar a pesquisa e obter o melhor resultado, utilizou-se no treinamento dois tipos de rede com propostas de funcionamento diferentes, uma feedforward e uma feedback. Após a implementação foram realizadas algumas validações com diferentes situações para verificar a capacidade de generalização de cada rede em prever a saída desejada, posteriormente realizou-se a previsão da geração de potência nos estados do Rio Grande do Sul e Pernambuco, onde nota-se, através dos métodos de análise de desempenho, que os resultados se mostram favoráveis para essa aplicação utilizando a rede feedforward, visto que a rede feedback não obteve bom desempenho para uma quantidade reduzida de amostras inseridas
Um método para análise de faltas em sistemas de energia com geradores distribuídos conectados à rede por meio de conversores de frequência completos.
Authors:   , Lemos Herick Talles Queiroz
Published: February 2025

O estudo dos sistemas elétricos sob condições de falta fornece informações fundamentais para o dimensionamento e configuração da proteção. Tais estudos, tradicionalmente, são realizados em estado permanente e baseados, principalmente, no comportamento físico dos geradores síncronos diretamente conectados à rede. Por outro lado, com a introdução das modernas unidades de geração distribuída acopladas à rede via conversores de frequência completos – CFSs, verificou-se a necessidade de revisão dos métodos tradicionais, visto que, ao contrário dos geradores síncronos, as correntes de contribuição dos conversores dependem, apenas, de sua estratégia de controle e dos procedimentos de rede exigidos pelo operador do sistema, notadamente os requisitos de suportabilidade à distúrbios decorrentes de faltas na rede elétrica ou Fault Ride Through - FRT. Neste contexto, este trabalho apresenta uma técnica para análise de faltas shunt no domínio fasorial em sistemas de potência com geração distribuída acoplada à rede via CFCs que requer dados de fácil acesso aos engenheiros de planejamento e permite a avaliação da contribuição dos geradores para diferentes estratégias de controle de pré-falta e de FRT. Na abordagem proposta, o conversor é modelado como uma fonte de corrente controlada por tensão que injeta apenas correntes de sequência positiva com magnitudes e ângulos de fase dependentes da estratégia de controle de pré-falta, das especificações máximas do conversor e dos requisitos de FRT. Os algoritmos propostos para representação dos modos de controle pré-falta: Fator de Potência Constante – FPC, Tensão Constante – VC e Potência Reativa Constante – QC; e um algoritmo para representação do modo de suporte de tensão à rede exigido no código de rede do Operador Nacional do Sistema – ONS. O modelo de fonte de corrente do conversor é posteriormente convertido em um equivalente de impedância e incluído em um método clássico de análise de faltas baseado na matriz de impedâncias de barra do sistema. A metodologia proposta foi demonstrada por meio de estudos de caso e, posteriormente, validada com auxílio do software comercial Análise de Faltas Simultâneas – ANAFAS. Para todas as faltas avaliadas os algoritmos propostos apresentaram excelente desempenho na estimação da corrente de contribuição dos conversores em regime permanente, podendo ser implementados em qualquer programa de análise de sistemas de potência comercial
Controle mpc robusto com anti-windup aplicado a sistemas lpv e ltv baseado no algoritmo quasi-min-max com relaxação em lmis
Authors:   , Rego Rosana Cibely Batista
Published: February 2025

Este trabalho propõe uma melhoria para o esquema robusto de controle preditivo baseado
modelo (MPC) agrupado com compensador anti-windup com restrições para sistemas lineares
com parâmetros variáveis (LPV) e sistemas lineares variantes no tempo (LTV) baseados em
um algoritmo quasi-min-max com relaxamento de desigualdades lineares matriciais (LMI).
A abordagem é baseada no uso de várias funções de Lyapunov, cada uma correspondendo a
um diferente vértice da modelagem politópica do sistema. A principal vantagem desta nova
abordagem em relação a outras técnicas bem conhecidas é a redução da conservatividade. A
abordagem envolve um projeto offline de um observador de estado robusto para sistemas LPV
ou LTV e um algoritmo MPC online. Também é proposto a implementação do MPC offline
com elipsóides invariantes de estabilidade. Para mostrar a eficiência das abordagens, exemplos
numéricos para o sistema LPV são usados. E ao final as técnicas propostas são aplicadas a planta
LTV do conversor boost mostrando assim o bom desempenho do controlador desenvolvido, tanto
para sistemas LPV e LTV
A BIBLIOTECONOMIA NO CONTEXTO MULTICULTURAL
Authors: Costa Claudio Moises da , Alencar Patricia Vargas
Published: February 2025

This article is based on evidence that indicates that, both in the initial and continuing education of librarians and information scientists, there is a gap regarding approaches to subjects related to Multiculturalism. It investigates the theme, from a qualitative and quantitative approach, in scientific production in the area of Library Science and Information Science. It considers the theoretical framework of Multiculturalism and Metric Studies in scientific production. It highlights the importance of building a thematic repository and presents guidelines for its elaboration. This study brings evidence that the access and visibility of Multiculturalism are compromised mainly due to the fact that the scientific production in the area is presented in a disorganized way. It is desirable that the productions be concentrated in a space in the area dedicated to the theme in order to facilitate the search. It contributes to meet the informational demand of researchers and professionals interested in the debate on Multiculturalism, adding to the works that have already discussed its relevance to the area.
Role of Ayurveda in the Prevention of Communicable Diseases
Authors: Ashwini R. Metangale  , Brijesh R. Mishra
Published: February 2025

Introduction: Infectious or communicable diseases can be defined as illness caused by another living agent or its products that spread from person to person and can be a cause of emergency. Ayurveda do believe in microorganisms i.e., Krimi, but emphasized more on body’s response and occurrence of disease i.e. Vyadhikshamatwa. Communicable diseases well described by Acharya Sushrut termed Aupasargika Roga for epidemic condition, spread through contacts. Acharya Charak coined Janapadodhvansa Roga for pandemic conditions involving rapid outbreak on large scale. Because of improper diet, lack of exercise, stress, fast food, junk food & global warming overall health status of individuals is poor and they are prone to communicable diseases like Covid 19, H1N1 Influenza creating a burden over health care system. Aims & Objectives: To spread the awareness about Ayurvedic approach towards preventing communicable diseases. And to study the role of Ahara and Vihara in prevention of communicable diseases. Result & Conclusion: A healthy and long peaceful life devoid of any disease is the main aim of Ayurveda through implementation of Dincharaya, Rutucharya, Sadvritta is important for physical and mental health. With the help of Shodhan (Panchakarma), Shamana (Aushadha) & Rasayana these diseases can be cured. In this literary work, efforts have been made to find out how Ayurveda can help to prevent communicable diseases.
A randomized controlled clinical study to evaluate the efficacy of Nasya with Devadarvadi Ghrita in the management of Ardhavabhedaka
Authors: Pooja S. Patil  , Sudarshan A  , Guruprasad  , Vidyashree
Published: February 2025

Background: Ardhavabhedaka is one among the Shirorogas explained by our Acharyas in which Shoola is experienced in Ardha Bhaga of the Shiras. Ardhavabhedaka can be scientifically correlated with Migraine due to its cardinal features of Half sided headache. Ardhavabhedaka if not treated it can cause Netra and Shotra Nasha, hence an early treatment is essential. Devadarvadi Ghrita Nasya is indicated in Ardhavabhedaka by Acharya Harita, therefore, this study was conducted to access its efficacy. Objective: To compare the efficacy of Devadarvadi ghrita Nasya and Shadbindu taila Nasya in the management of Ardhavabedaka. Methodology: In this single-blind study, 40 patients exhibiting classical features of Ardhavabhedaka, who met the inclusion criteria, were divided into two groups of 20 patients each for analysis. Group A was treated with Devadarvadi Ghrita Nasya, while Group B was treated with Shadbindu Taila Nasya for 7 days, followed by a follow-up assessment on the 14th day, after which statistical analysis was conducted. Result: Although there was no statistical significance observed, both the groups demonstrated clinical significance in reducing the frequency, duration, severity of headache and giddiness. Conclusion: Devadarvadi Ghrita Nasya showed better results than Shadbindu Taila in the management of Ardhavabhedaka.
Development of Chatbot-Based Oral Health Care for Young Children and Evaluation of its Effectiveness, Usability, and Acceptability: Mixed Methods Study
Authors: Pupong Kittiwara , Hunsrisakhun Jaranya , Pithpornchaiyakul Samerchit , Naorungroj Supawadee
Published: February 2025

Background

Chatbots are increasingly accepted in public health for their ability to replicate human-like communication and provide scalable, 24/7 services. The high prevalence of dental caries in children underscores the need for early and effective intervention.

Objective

This study aimed to develop the 30-Day FunDee chatbot and evaluate its effectiveness, usability, and acceptability in delivering oral health education to caregivers of children aged 6 to 36 months.

Methods

The chatbot was created using the artificial intelligence (AI) chatbot behavior change model, integrating behavioral change theories into content designed for 3‐5 minutes of daily use over 30 days. A pre-post experimental study was conducted from December 2021 to February 2022 in Hat Yai District, Songkhla Province, and Maelan District, Pattani Province, Thailand. Fifty-eight caregivers completed a web-based structured questionnaire at baseline and 2 months post baseline to evaluate knowledge, protection motivation theory-based perceptions, and tooth-brushing practices. Usability was assessed via chatbot logfiles and a web-based questionnaire at 2 months post baseline. Acceptability was evaluated through three methods: (1) open-ended chatbot interactions on day 30, (2) a web-based structured questionnaire at 2 months post baseline, and (3) semistructured telephone interviews with 15 participants 2 weeks post intervention. Participants for interviews were stratified by adherence levels and randomly selected from Hatyai and Maelan districts. All self-reported variables were measured on a 5-point Likert scale (1=lowest, 5=highest).

Results

The chatbot was successfully developed based on the 4 components of the AI chatbot behavior change model. Participants had a mean age of 34.5 (SD 8.6) years. The frequency of tooth brushing among caregivers significantly improved, increasing from 72.4% at baseline to 93.1% two months post baseline (P=.006). Protection motivation theory-based perceptions also showed significant improvement, with mean scores rising from 4.0 (SD 0.6) at baseline to 4.5 (SD 0.6) two months post baseline (P<.001). The chatbot received high ratings for satisfaction (4.7/5, SD 0.6) and usability (4.7/5, SD 0.5). Participants engaged with the chatbot for an average of 24.7 (SD 7.2) days out of 30. Caregivers praised the chatbot’s content quality, empathetic communication, and multimedia design, but noted the intervention’s lengthy duration and messaging system as limitations.

Conclusions

The 30-Day FunDee chatbot effectively enhanced caregivers’ perceptions of oral health care and improved tooth-brushing practices for children aged 6‐36 months. High user satisfaction and engagement demonstrate its potential as an innovative tool for oral health education. These findings warrant further validation through large-scale, randomized controlled trials.
Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study (Preprint)
Authors: Giebel Godwin Denk , Raszke Pascal , Nowak Hartmuth , Palmowski Lars , Adamzik Michael , Heinz Philipp , Tokic Marianne , Timmesfeld Nina , Brunkhorst Frank , Wasem Jürgen , Blase Nikola
Published: February 2025

BACKGROUND

Digitalization is currently revolutionizing health care worldwide. A promising technology in this context is artificial intelligence (AI). The application of AI can support health care providers in their daily work in various ways. The integration of AI is particularly promising in clinical decision support systems (CDSSs). While the opportunities of this technology are numerous, the problems should not be overlooked.

OBJECTIVE

This study aimed to identify challenges and barriers in the context of AI-based CDSSs from the perspectives of experts across various disciplines.

METHODS

Semistructured expert interviews were conducted with different stakeholders. These included representatives of patients, physicians and caregivers, developers of AI-based CDSSs, researchers (studying AI in health care and social and health law), quality management and quality assurance representatives, a representative of an ethics committee, a representative of a health insurance fund, and medical product consultants. The interviews took place on the web and were recorded, transcribed, and subsequently subjected to a qualitative content analysis based on the method by Kuckartz. The analysis was conducted using MAXQDA software. Initially, the problems were separated into “general,” “development,” and “clinical use.” Finally, a workshop within the project consortium served to systematize the identified problems.

RESULTS

A total of 15 expert interviews were conducted, and 309 expert statements with reference to problems and barriers in the context of AI-based CDSSs were identified. These emerged in 7 problem categories: technology (46/309, 14.9%), data (59/309, 19.1%), user (102/309, 33%), studies (17/309, 5.5%), ethics (20/309, 6.5%), law (33/309, 10.7%), and general (32/309, 10.4%). The problem categories were further divided into problem areas, which in turn comprised the respective problems.

CONCLUSIONS

A large number of problems and barriers were identified in the context of AI-based CDSSs. These can be systematized according to the point at which they occur (“general,” “development,” and “clinical use”) or according to the problem category (“technology,” “data,” “user,” “studies,” “ethics,” “law,” and “general”). The problems identified in this work should be further investigated. They can be used as a basis for deriving solutions to optimize development, acceptance, and use of AI-based CDSSs.

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/preprints.62704
Driving and Restraining Forces in the Implementation of Information Systems in the Public Sector: A Scoping Review (Preprint)
Authors: Lemmettylä Arja , Kinnunen Ulla-Mari
Published: February 2025

BACKGROUND

Public sector organizations increasingly adopt information systems (IS) to improve economic efficiency, service quality and overall adaptability. These projects represent substantial financial investments, making their success critical for organizational performance and societal impact.

OBJECTIVE

This scoping review aimed to identify the driving and restraining forces influencing IS implementation in public sector organizations and to explore strategies that support successful change processes.

METHODS

A total of 25 peer-reviewed articles were analyzed using Lewin’s change theory to categorize and interpret driving and restraining forces. Additionally, the narrative emerging from previous research on IS implementation was examined to explore how prior research portrays the success of IS implementation processes.

RESULTS

The findings highlight that IS implementation is influenced by six domains: organizational practices, managerial involvement, system design, end-user engagement, institutional forces and change project management. Key driving forces include leadership support, stakeholder involvement and system usability, while restraining forces encompass user resistance, technical challenges and organizational silos.

CONCLUSIONS

Despite the challenges, IS implementation offers significant opportunities for improving public sector operations and societal outcomes. Addressing restraining forces and leveraging driving forces is essential for achieving sustainable digital transformation. This study provides actionable insights for future IS implementation in the public sector.
The Experience of Cancer-Related Cognitive Impairment Across Common Cancers: A Qualitative Systematic Review (Preprint)
Authors: Ibrar Maryam , Rai Harleen Kaur , Main Ashleigh , McCartney Haruno , Parra Mario A , Maguire Roma
Published: February 2025

UNSTRUCTURED

Purpose: Cancer-related cognitive impairment (CRCI) is frequently reported during cancer treatment, with 35% experiencing cognitive issues even after treatment completion. Frequently reported impairments include difficulties with memory, attention, executive functioning, and processing speed, which often detract from daily functioning and quality of life (QoL). Despite its prevalence, CRCI remains under-researched across common cancers, limiting understanding of the patient experience. This review aims to examine the evidence regarding the experience of CRCI across common cancers. And to understand the frequency of CRCI among different cancer types, the affected cognitive domains, and its impact on quality of life and functional ability.

Method: A comprehensive search of databases, including PubMed, APA PsycInfo, CINAHL, and Scopus, was performed. Two independent reviewers screened titles, abstracts, and full texts, with a third reviewer resolving conflicts during the inclusion process. The CASP tool was used for data extraction and quality assessment. The data were analysed using thematic analysis.

Results: The database search identified 9,316 papers; 41 were included for analysis. The analysis revealed 4 themes. “Cognitive Challenges”, including memory and concentration; “Navigating Employment”, covers returning to work, support, and disclosure; “Emotional, Behavioral, and Psychological Impacts”, explores emotional and psychological responses; and “Support Systems”, emphases the role of social and healthcare support.

Conclusions: The review highlights the significant disruption CRCI causes in daily life, stressing the need for increased awareness, standardised screening, and further research into digital interventions.

Implications for cancer survivors: Improved management of CRCI can help cancer survivors reintegrate into their daily lives and employment.

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/56888
Peran Regulasi Pemerintah Dalam Pengelolaan Risiko Bencana: Evaluasi Atas Kebijakan Peraturan Daerah Dalam Pengurangan Risiko Bencana Tsunami di Kota Ambon
Authors: Akhirianto Novian Andri , Ma'rufatin Anies , Wardani Khusnul Setia , Kongko Widjo , Kayadoe Fretha Julian
Published: February 2025

Regulasi pemerintah yang efektif dianggap sebagai kunci dalam manajemen risiko bencana. Regulasi yang efektif dapat menciptakan kepastian dalam kesiapsiagaan menghadapi bencana tak terduga seperti tsunami. Namun, keberadaan regulasi tidak selalu diikuti dengan implementasi yang efektif. Masalah ini juga terjadi pada penilaian risiko bencana di Kota Ambon yang termasuk dalam kelas bahaya tsunami tinggi. Pemerintah Kota Ambon melakukan upaya pengurangan risiko bencana (PRB) tsunami dengan menerbitkan kebijakan berupa peraturan daerah. Akan tetapi, efektivitas dari regulasi ini masih perlu dievaluasi. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis peluang perbaikan kebijakan peraturan daerah terkait PRB tsunami di Kota Ambon. Penelitian dilakukan dengan mengumpulkan data primer melalui Focus Group Discussion (FGD), serta data sekunder dari studi literatur dan tinjauan regulasi yang telah diterbitkan oleh Pemerintah Kota Ambon. Analisis data dilakukan menggunakan analisis konten dan analisis SWOT. Hasil penelitian menunjukkan bahwa terdapat dua aspek kebijakan peraturan daerah terkait PRB tsunami di Kota Ambon, yaitu aspek tata ruang dan kelembagaan. Pemerintah Kota Ambon telah menerbitkan beberapa kebijakan peraturan daerah terkait PRB tsunami yang mencakup perencanaan tata ruang dan kelembagaan. Akan tetapi, masih terdapat peluang perbaikan yang dapat dilakukan untuk memperkuat kebijakan peraturan daerah terkait PRB tsunami di Kota Ambon. Studi ini menyoroti pentingnya berbagai tindakan untuk menciptakan regulasi yang efektif dalam manajemen risiko bencana, termasuk pendidikan, pengawasan, dan penegakan hukum di bidang pemanfaatan ruang serta penguatan struktur kelembagaan Badan Penanggulangan Bencana Daerah.
Hyperpersonal Communication in Sexual Fantasies: A Study on Users of Paid Video Call Sex Services in Indonesia
Authors: Tristi Muhammad Alzaki , Arymami Dian
Published: February 2025

The virtual era has redefined intimacy, with virtual platforms becoming a medium for fulfilling sexual desires in tangible ways. This article examines how hyperpersonal communication leverages Computer-Mediated Communication (CMC) technologies to facilitate sexual fantasies through paid Video Call Sex (VCS) services in Indonesia. Grounded in theories of Hyperpersonal Communication, Fetishism, Media Equation, and Cyberculture, this study analyzes how virtual media's technological affordances and communication processes enable the realization of sexual fantasies. Paid VCS services, as a form of cybersex, represent a convergence of economic motives and the pursuit of intimate satisfaction. Operating through instant messaging applications equipped with video and audio capabilities, these services have emerged as a digital avenue for sexual transactions. Using a qualitative descriptive approach with five online participants, this research highlights the intricate communication dynamics between users and service providers, focusing on the negotiation processes that shape and accommodate personalized sexual fantasies. These findings contribute to understanding how hyperpersonal communication unfolds in the context of virtual sexual interactions, revealing the interplay of technology, intimacy, and economic motives in contemporary digital culture
Dampak Penyalahgunaan Deepfake dalam Memanipulasi Visual: Menguak Potensi Infopocalypse di Era Post Truth Terhadap Asumsi Masyarakat pada Media Massa
Authors: Zahro' Azizatuz , Nur Fadhilah Rafika Rizky , Hermawati Salsabila Zahra , Imaduddin Guntur Naufal , Santoso Aisya Alyani
Published: February 2025

Pesatnya perkembangan teknologi berupa kecerdasan buatan memberikan dampak positif yang dapat memudahkan pekerjaan manusia, tetapi kecerdasan buatan juga berpotensi untuk disalahgunakan terutama dalam teknologi deepfake. Kemunculan deepfake dapat menciptakan visualisasi hoaks pada era post-truth yang dapat memicu terjadinya infopocalypse. Tujuan dari riset ini yakni (1) untuk mengetahui visualisasi hoaks terhadap perubahan asumsi masyarakat akibat penyalahgunaan teknologi deepfake dan (2) mengetahui unsur-unsur yang akan menjadi potensi munculnya infopocalypse pada era post-truth. Riset ini menggunakan metode kualitatif dengan analisis konten dan fenomenologi. Teknik pengumpulan data dalam riset ini melalui observasi dan wawancara. Analisis konten digunakan untuk menganalisis deepfake dari konten video dan interpretative phenomenological analysis untuk menganalisis keterkaitan asumsi informan dan potensi terjadinya infopocalypse. Hasil menunjukkan (1) adanya visualisasi hoaks terhadap asumsi masyarakat dan penerimaan informasi memiliki keterkaitan dengan tingkat pengetahuan pada teknologi; (2) potensi infopocalypse dipengaruhi oleh ragam pola pikir. Dapat disimpulkan bahwa visualisasi hoaks dan penerimaan informasi masyarakat berkaitan dengan pengetahuan teknologi deepfake, serta potensi infopocalypse berkaitan dengan ragam pola pikir.
We in Scotland have to make our stand for pure Liberalism: John M. Bannerman and Scottish Politics, 1932-1968
Authors: Ewen A. Cameron
Published: February 2025

This article assesses the political career of John M. Bannerman from his entry into Scottish politics in the early 1930s until his final speeches in the House of the Lords in the late 1960s. The principal issue which it addresses is the history of the Liberal party in Scotland in the period from 1945 to the late 1960s. By analysing Bannerman's Liberal candidatures (he stood eight times in four different Scottish constituencies from 1945 to 1964, losing on each occasion), his attitude to Scottish Home Rule, his role in keeping the Scottish Liberal Party alive, and his ideas on the revival of the Scottish Highlands, it deals with his role in the survival of a party which had once dominated Scottish politics but had fallen into deep decline. The position of the Liberal Party during a period in which the Labour Party and the Scottish Unionist Party dominated the politics of Scotland is also a theme of the article. Some additional comments are made about the way in which both the Scottish Liberal Democrats and the Scottish National Party have deployed Bannerman’s memory in arguing their positions vis-à-vis post-devolution Scottish politics.
Cumha do Mhuinntir a Bharra-Bhric: An Eye-witness Account of Evictions in 1840s Argyll
Authors: Sheila M. Kidd
Published: February 2025

This article considers two songs by a previously unrecognised Gaelic poet, Catrìona Nic an Fhlèisdeir (Catherine Fletcher), both composed in the period 1839−40 and preserved in the late nineteenth-early twentieth century press. The first is an elegy to the young heir of Innistrinich; the second, which is the main focus of the article, is a lament occasioned by the eviction of tenants on the Barbreck, Lochaweside, estate of Alexander Campbell of Monzie c. 1840. The lament captures a specific moment in time very shortly after the tenants had received notice of their eviction but before the evictions had taken place, and conveys something of the lived experience of this township at this moment of crisis. The article considers how the poet draws on panegyric motifs to praise this flourishing community − rather than to praise individuals – and considers how she expresses her distress, anger, and acceptance, placing her responses within the wider context of the traditional role of women as keeners in Gaelic-speaking society.
5G Network Optimization using Machine Learning
Authors: Khudhus Md. A.
Published: February 2025

In the era of 5G technology, predicting coverage areas is crucial for optimizing network performance and ensuring
reliable connectivity. This study presents a comprehensive analysis of various machine learning algorithms for predicting 5G
coverage based on the RF Signal Data. The target column, Band Width, is used to gauge prediction accuracy across different
models. Traditional methods such as Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, Random Forest, Support
Vector Machine (SVM), XG Boost, Light GBM, AdaBoost, Bayesian Network Classifier models are compared with advanced
techniques such as Stacking and Voting Classifiers, as well as Convolutional Neural Networks (CNN). The objective is to
identify dominant feature parameters that significantly influence 5G coverage prediction. By implementing a diverse array of
models, this research aims to benchmark the performance and accuracy of these algorithms. The comparative analysis
highlights the strengths and limitations of each approach, providing valuable insights for network engineers and researchers.
The findings suggest that ensemble methods, particularly Stacking and Voting Classifiers, along with CNN, offer superior
prediction accuracy and robustness, thereby serving as promising tools for enhancing 5G network planning and deployment.
Blood Group Detection and Management Using Advanced Deep Learning and Fingerprint Imaging Methods
Authors: V Rashmi , Khan Nasir Hussain , Shekhar Krishanu , T Nisarga , S Anusha C
Published: February 2025

Abstract: Fingerprints, unique and permanent, have been one of the most reliable biometric markers. The presence and
arrangement of these ridges is established via fetal development and never change during your life, serving as a means to
uniquely identify and verify identity. Utilizing this uniqueness, the project offers a comprehensive solution of advanced
fingerprint image processing and a deep-learning approach to blood group detection. The system uses Convolutional Neural
Networks (CNNs) to examine complex ridge patterns present in fingerprint images for accurate blood group classification. This
approach integrates the trustworthiness of biometric fingernail pattern personal identification with the speed of machine
learning, providing a non-invasive and accurate alternative in healthcare. The project also features a comprehensive blood
management system that efficiently communicates between hospitals and blood donors, especially during emergencies. This
system allows for more than accurate blood group detection by helping better utilize resources, in turn reducing response times
in critical situations. By providing a scalable and adaptable framework, such technology can not only promote better blood
management but also spur advancements in healthcare as well as in biometric research
Psychometric analysis of the self-reporting questionnaire (SRQ-29) among university students
Authors: Qatrunnada Rizqi Zulfa , Bayu Suseno  , Muhammad Yazid
Published: February 2025

The SRQ-29 is a measurement tool developed by WHO for the early detection of mental health problems. However, no research has focused on the psychometric testing of the SRQ-29 instrument. This study aimed to investigate the psychometric properties of the Indonesian version of the Self-Reporting Questionnaire (SRQ-29) as a screening tool for the early detection of mental health problems in individuals who are university students. The original version of the scale was adapted and translated into Indonesian and tested for validity, reliability, and factor analysis among university students. The adaptation process followed the guidelines of the International Test Commission and included translation, expert review, cognitive interview, and psychometric evaluation. The participants who actively participated in this study were 323 students from various faculties of Universitas Muhammadiyah Surakarta (UMS), selected using a convenience sampling technique. Data analysis to test content validity using Aiken's V analysis, construct validity using item factor analysis (IFA), and test reliability using Cronbach alpha. In general, the results showed that the measurement instrument has good validity and reliability, so it can be used in the population of university students in Indonesia to screen their mental health status.