bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gobernanza inteligente desde las perspectivas del gobierno abierto
Authors: Zambrano-Aragundy Verónica , Mantuano-Zambrano Yandry 
Published: June 2023

El propósito de la investigación ha sido interpretar la gobernanza inteligente desde una perspectiva de gobierno abierto, tomando en consideración como caso de estudio a la Judicatura de la Provincia de Manabí, además delas de las directrices específicas: Identificar los componentes de la gobernanza que la hacen viable en la gestión pública; comprender los aspectos conceptuales de la gobernanza inteligente que dan soporte al gobierno abierto y contextualizar la gobernanza inteligente como instrumento para el gobierno abierto; el diseño de la investigación es de tipo fenomenológico-interpretativo con un enfoque cualitativo, su dimensión es de tipo inductiva, con un nivel descriptivo, una investigación naturalista no experimental, como estrategia se aplicó la revisión documental para conocer posturas teóricas, además de lo comentado por los informantes claves; como estrategia de análisis se planteó como premisa lo propuesto por la Teoría Fundamentada, obteniéndose tanto códigos sustantivos, como axiales, conceptos sustantivos hasta llegar a la categoría central; así como del uso del método hermenéutico para facilitar el proceso interpretativo del discurso narrado por los entrevistados -expertos investigadores- dada en una entrevista en profundidad (semi estructurada). El principal hallazgo resultante se muestra como una categoría central denominada Gobernanza disruptiva como valor público, presentándose como propuesta de buena praxis para la administración pública, en especial para el Consejo de la Judicatura de la Provincia de Manabí. Entre las principales reflexiones se encuentra la oportunidad de incorporar a la gobernanza como estrategia de transparencia y participación ciudadana, gracias al enfoque propuesto desde el concepto de gobierno abierto.
Uso de la realidad aumentada como herramienta para incrementar la visibilidad de la marca Yuquitos en Instagram en la ciudad de Loja
Authors: Hidalgo-Barrazueta Andrea , Cueva-Costales Andrés 
Published: June 2023

Este estudio se enfoca en analizar la visibilidad de la marca "Yuquitos" en Instagram en la ciudad de Loja, Ecuador. Se presentan datos relevantes sobre el uso de Instagram en el país, y su objetivo se centra en aplicar la realidad aumentada (RA) como estrategia de marketing para mejorar la visibilidad de la marca en Instagram y se busca evaluar su impacto mediante la realización de encuestas y evaluación de métricas. La empresa Yuquitos busca comprobar la eficacia de la RA como una estrategia para aumentar la visibilidad de su marca y mejorar el compromiso con los consumidores.
El uso de la RA en las publicaciones de Instagram de la marca Yuquitos ha tenido un impacto positivo en la visibilidad y el engagement de la marca con sus seguidores. El aumento en el alcance de las publicaciones y el número de impresiones sugiere que la RA es una herramienta efectiva para atraer la atención de los usuarios. Además, la encuesta a los consumidores indico que la mayoría tuvo una experiencia positiva con los filtros de RA, lo que sugiere que esta tecnología puede ser utilizada para fidelizar a los clientes existentes y atraer nuevos.
Esta investigación llevada a cabo sobre el uso de RA en publicaciones en Instagram tiene ciertas limitaciones, incluyendo una muestra no probabilística y la restricción geográfica determinada en la ciudad de Loja. Además, es importante considerar que el uso de esta tecnología puede requerir habilidades técnicas especializadas. En general, el uso de la RA puede ser beneficioso para mejorar la presencia en línea de una marca, pero se deben considerar cuidadosamente los costos y beneficios de su implementación dentro de una estrategia de marketing integral. Para futuras investigaciones, se sugiere ampliar el alcance del estudio a nivel nacional, para determinar el impacto del uso de la tecnología de realidad aumentada en la visibilidad de marca y engagement.
Marketing digital para el posicionamiento de una agencia de comunicación digital.
Authors: Velasco-Arias María , Cevallos-Campoverde Mario 
Published: June 2023

La competitividad y los desafíos del mercado plantean la necesidad de reconocer las mejores prácticas y las herramientas de marketing digital que pueden influenciar en el posicionamiento de una agencia de comunicación digital, para poder identificarlos se plantea como objetivo general, identificar las herramientas de marketing digital para posicionar la marca de una agencia de comunicación digital y como objetivos específicos: 1) Analizar las herramientas de posicionamiento de marca y 2) Identificar las estrategias de marketing digital para mejorar la visibilidad de la agencia de comunicación digital.
Se utilizó un enfoque cualitativo y se aplicaron dos métodos para recopilar datos. Primero se realizaron entrevistas semiestructuradas a tres expertos en marketing digital, social media y posicionamiento de marca. El segundo método consistió en una revisión bibliográfica de artículos científicos publicados en los últimos tres años (del 2020 al 2022). Como resultados de la investigación se encuentran coincidencias entre los entrevistados y los autores; herramientas como el FODA y Análisis PESTEL son ideales a la hora de definir estrategias de marketing, facultando la definición de objetivos SMART en el desarrollo del plan de marketing. Además, se evidencia que las de redes sociales como Instagram, Facebook, LinkendIn, ayudan en el posicionamiento digital.
Por otro lado, existen varias herramientas para monitorear, automatizar y medir estrategias como SEMrush, Hootsuite, Google Analityc, la elección dependerá de las necesidades específicas de la marca y de los objetivos de la estrategia de marketing digital.
Finite element analysis of optimized novel additively manufactured non-articulating prostheses for cervical total disc replacement
Authors: Hsieh Ming-Kai , Tai Ching-Lung , Li Yun-Da , Lee De-Mei , Lin Cheng-Yi , Tsai Tsung-Ting , Lai Po-Liang , Chen Weng-Pin 
Published: June 2023

Ball-and-socket designs of cervical total disc replacement (TDR) have been popular in recent years despite the disadvantages of polyethylene wear, heterotrophic ossification, increased facet contact force, and implant subsidence. In this study, a non-articulating, additively manufactured hybrid TDR with an ultra-high molecular weight polyethylene core and polycarbonate urethane (PCU) fiber jacket, was designed to mimic the motion of normal discs. A finite element (FE) study was conducted to optimize the lattice structure and assess the biomechanical performance of this new generation TDR with an intact disc and a commercial ball-and-socket Baguera®C TDR (Spineart SA, Geneva, Switzerland) on an intact C5-6 cervical spinal model. The lattice structure of the PCU fiber was constructed using the Tesseract or the Cross structures from the IntraLattice model in the Rhino software (McNeel North America, Seattle, WA) to create the hybrid I and hybrid II groups, respectively. The circumferential area of the PCU fiber was divided into three regions (anterior, lateral and posterior), and the cellular structures were adjusted. Optimal cellular distributions and structures were A2L5P2 in the hybrid I and A2L7P3 in the hybrid II groups. All but one of the maximum von Mises stresses were within the yield strength of the PCU material. The range of motions, facet joint stress, C6 vertebral superior endplate stress and path of instantaneous center of rotation of the hybrid I and II groups were closer to those of the intact group than those of the Baguera®C group under 100 N follower load and pure moment of 1.5 Nm in four different planar motions. Restoration of normal cervical spinal kinematics and prevention of implant subsidence could be observed from the FE analysis results. Superior stress distribution in the PCU fiber and core in the hybrid II group revealed that the Cross lattice structure of a PCU fiber jacket could be a choice for a next-generation TDR. This promising outcome suggests the feasibility of implanting an additively manufactured multi-material artificial disc that allows for better physiological motion than the current ball-and-socket design.
Identifying the issues leading to residents’ modifications in Bahraini subsidized housing units
Authors: Lafi May Walid , Alkhalifa Haifa Ebrahim , Jiwane Anamika Vishal 
Published: June 2023

Research problem and purpose: Residents’ modifications in subsidized housing are a widespread phenomenon in Bahrain. Households begin to modify their allocated residential units as soon as they receive them, resulting in financial burdens and an aesthetic loss of the uniform physical appearance. This research aims to identify the issues leading to residents’ modifications in Bahraini subsidized housing units.Materials and methods: Literature indicates that this phenomenon is closely related to resident behaviors. Thus, the study presents a conceptual framework that examines the similarities and differences in residents’ behaviors in subsidized housing. Accordingly, the study employed the qualitative approach and was conducted in two phases. The first phase investigated common resident behaviors through structured interviews with twelve experts involved in the modification process. The second phase used the case study strategy with three selected cases from the East Hidd housing project to examine the different behaviors related to residents’ lifestyles. It included on-site observations, plan analysis, and structured interviews with householders using the AIO approach.Results: The findings revealed general and specific issues that lead to residents' modifications. The general issues represent common behaviors for most residents and are usually associated with the prior-occupancy stage. They include residents’ preference for simple modern designs with spacious living rooms and bedrooms, trendy modern materials, and large windows; residents’ need for sustainable housing units that incorporate all three aspects of sustainability, particularly the socio-cultural, which is related to factors like privacy, hospitality, and the aesthetics and distinction of houses; and the damages resulting from the improper practices of residents that mainly revolve around excluding the experts and involving the unqualified in the modifications process. The specific issues represent families’ different behaviors and are usually associated with the post-occupancy stage. Those include residents’ need to modify their houses according to their lifestyles, which appeared in the guest room, the courtyard, and the interior divisions of the extended bedroom.Conclusion: Considering both issues while designing future projects helps create flexible units that satisfy the needs of the majority while allowing for modifications at any time. This, in turn, helps reduce and streamline the modification process.
Chronic Inhibition of mROS Protects Against Coronary Endothelial Dysfunction in Mice With Diabetes
Authors: Xing Hang , Zhang Zhiqi , Shi Guangbin , He Yixin , Song Yi , Liu Yuhong , Harrington Elizabeth O. , Sellke Frank W. , Feng Jun 
Published: June 2023

Graphical AbstractChronic hyperglycemia during diabetes causes persistent overproduction of mitochondrial ROS (mROS), resulting in inhibition of endothelial SK channel activity, impairment of coronary endothelium-dependent relaxation and dysregulation of antioxidant/pro-cell death enzyme. Chronic inhibition of mROS with mito-Tempo prevents endothelial mROS production resulting in increasing endothelial SK currents, enhancing antioxidant enzyme production, and improving coronary endothelium-dependent relaxation.
Technology-based solutions for behavior monitoring: lessons learned
Authors: Pandria Niki , Bamidis Panagiotis D. 
Published: June 2023

IntroductionChildren’s behavior is indicative of adaptation to early-age development. Adaptive difficulties linked to behavioral difficulties are frequent among school-aged children having a multi-level impact. Five key approaches have been used therapeutically while systematic behavior monitoring has been used to evaluate the efficacy of different interventions. The inherent barriers of traditional monitoring tools have led to the need to design and implement new approaches.MethodsFour case study series (S1–S4) focused on vulnerable populations are described. Eight participants with different medical backgrounds underwent an intervention, either cognitive training (BrainHQ) (seven out of eight) or operant conditioning strategies. Targeted behaviors were monitored in six out of eight participants using the WHAAM application which could also measure the effectiveness of the intervention applied, while emotional fluctuations were evaluated in two out of eight participants using AffectLecture. Moreover, a 5th pilot study (S5) is included focusing on the early detection and management of ADHD using a serious game-based platform.ResultsIn S1, monitoring highlighted that BrainHQ training resulted in positive changes in all but one of the behaviors in Case 1. Studies that exploited the AffectLecture application indicated that emotional state was improved after training, and it was positively correlated with performance in cognitive exercises. The performance in cognitive training was positively correlated with the emotional state before training in S2 but not in S3. A positive correlation between the change in emotional state and performance was mentioned only in S3. Educational and social benefits as well as a positive correlation between the performance and the length of training were reported in both studies. Operant conditioning strategies in S4 resulted in positive behavioral effects in most participants. Preliminary analysis of S5 indicated that the platform has a considerable capacity to discriminate users based on their in-game patterns as ADHD or non-ADHD.DiscussionThe mixture of studies presented in this article incorporates different technological solutions for monitoring or intervening in developmental disorders and behavioral difficulties. Despite the inherent inhomogeneity of such an endeavor, they all highlight the positive prospects of using technology to enhance the educational arsenal of facing behavioral and learning difficulties.
Genetic algorithm optimization for parametrization, digital twinning, and now-casting of unknown small- and medium-scale PV systems based only on on-site measured data
Authors: Guzman Razo Dorian Esteban , Madsen Henrik , Wittwer Christof 
Published: June 2023

Accurately predicting and balancing energy generation and consumption are crucial for grid operators and asset managers in a market where renewable energy is increasing. To speed up the process, these predictions should ideally be performed based only on on-site measured data and data available within the monitoring platforms, data which are scarce for small- and medium-scale PV systems. In this study, we propose an algorithm that can now-cast the power output of a photovoltaic (PV) system with high accuracy. Additionally, it offers physical information related to the configuration of such a PV system. We adapted a genetic algorithm-based optimization approach to parametrize a digital twin of unknown PV systems, using only on-site measured PV power and irradiance in the plane of array. We compared several training datasets under various sky conditions. A mean deviation of −1.14 W/kWp and a mean absolute percentage deviation of 1.81% were obtained when we analyzed the accuracy of the PV power now-casting for the year 2020 of the 16 unknown PV systems used for this analysis. This level of accuracy is significant for ensuring the efficient now-casting and operation of PV assets.
Using bacterial pan-genome-based feature selection approach to improve the prediction of minimum inhibitory concentration (MIC)
Authors: Yang Ming-Ren , Su Shun-Feng , Wu Yu-Wei 
Published: June 2023

Background: Predicting the resistance profiles of antimicrobial resistance (AMR) pathogens is becoming more and more important in treating infectious diseases. Various attempts have been made to build machine learning models to classify resistant or susceptible pathogens based on either known antimicrobial resistance genes or the entire gene set. However, the phenotypic annotations are translated from minimum inhibitory concentration (MIC), which is the lowest concentration of antibiotic drugs in inhibiting certain pathogenic strains. Since the MIC breakpoints that classify a strain to be resistant or susceptible to specific antibiotic drug may be revised by governing institutes, we refrained from translating these MIC values into the categories “susceptible” or “resistant” but instead attempted to predict the MIC values using machine learning approaches.Results: By applying a machine learning feature selection approach on a Salmonella enterica pan-genome, in which the protein sequences were clustered to identify highly similar gene families, we showed that the selected features (genes) performed better than known AMR genes, and that models built on the selected genes achieved very accurate MIC prediction. Functional analysis revealed that about half of the selected genes were annotated as hypothetical proteins (i.e., with unknown functional roles), and that only a small portion of known AMR genes were among the selected genes, indicating that applying feature selection on the entire gene set has the potential of uncovering novel genes that may be associated with and may contribute to pathogenic antimicrobial resistances.Conclusion: The application of the pan-genome-based machine learning approach was indeed capable of predicting MIC values with very high accuracy. The feature selection process may also identify novel AMR genes for inferring bacterial antimicrobial resistance phenotypes.
Predictive value of cell population data with Sysmex XN-series hematology analyzer for culture-proven bacteremia
Authors: Miyajima Yuki , Niimi Hideki , Ueno Tomohiro , Matsui Atsushi , Higashi Yoshitsugu , Kojima Nozomi , Kono Mari , Iwasaki Yosuke , Nagaoka Kentaro , Yamamoto Yoshihiro , Kitajima Isao 
Published: June 2023

BackgroundCell population data (CPD) parameters related to neutrophils, such as fluorescent light intensity (NE-SFL) and fluorescent light distribution width index (NE-WY), have emerged as potential biomarkers for sepsis. However, the diagnostic implication in acute bacterial infection remains unclear. This study assessed the diagnostic value of NE-WY and NE-SFL for bacteremia in patients with acute bacterial infections, and those associations with other sepsis biomarkers.MethodsPatients with acute bacterial infections were enrolled in this prospective observational cohort study. For all patients, a blood sample, with at least two sets of blood cultures, were collected at the onset of infection. Microbiological evaluation included examination of the blood bacterial load using PCR. CPD was assessed using Automated Hematology analyzer Sysmex series XN-2000. Serum levels of procalcitonin (PCT), interleukin-6 (IL-6), presepsin, and CRP were also assessed.ResultsOf 93 patients with acute bacterial infection, 24 developed culture-proven bacteremia and 69 did not. NE-SFL and NE-WY were significantly higher in patients with bacteremia than in those without bacteremia (p &lt; 0.005, respectively), and were significantly correlated with the bacterial load determined by PCR (r = 0.384 and r = 0.374, p &lt; 0.005, respectively). To assess the diagnostic value for bacteremia, receiver operating characteristic curve analysis was used. NE-SFL and NE-WY showed an area under the curve of 0.685 and 0.708, respectively, while those of PCT, IL-6, presepsin, and CRP were 0.744, 0.778, 0.685, and 0.528, respectively. Correlation analysis showed that the levels of NE-WY and NE-SFL were strongly correlated with PCT and IL-6 levels.ConclusionThis study demonstrated that NE-WY and NE-SFL could predict bacteremia in a manner that may be different from that of other indicators. These findings suggest there are potential benefits of NE-WY/NE-SFL in predicting severe bacterial infections.
Involvement of the European Medicines Agency in multi-stakeholder regulatory science research projects: experiences of staff members and project coordinators
Authors: Saesen Robbe , Machado Matilde , Crifo Bianca , Liu Lifang , de Vries Corinne , Herold Ralf , Llinares Garcia Jordi , Huys Isabelle 
Published: June 2023

BackgroundThe European Medicines Agency (EMA) interacts with many different stakeholders involved in the development of drugs, including academic researchers. In recent years, EMA has collaborated more closely with academia, inter alia by taking part in external research projects such as those set up under the Horizon 2020 program in general and the Innovative Medicines Initiative in particular. The aim of this study was to evaluate the perceived added value of EMA’s involvement in these projects, both from the perspective of the Agency’s participating Scientific Officers and of the coordinators of the consortia that undertook them.MethodsSemi-structured interviews were conducted with the coordinators of 21 ongoing or recently finalized projects in which EMA has participated, as well as with the Agency experts contributing to them.ResultsIn total, 40 individuals were interviewed, of whom 23 were project coordinators and 17 were EMA staff members. While most of the projects were reported to suffer from delays due to the SARS-CoV-2 pandemic, the consortia adapted to the circumstances and their members still expected to deliver on their objectives. EMA’s input into the projects ranged from providing guidance by reviewing documents and attending meetings to creating project materials and disseminating them. The frequency of communication between EMA and the consortia varied widely. The projects generated a diverse set of outputs, which encompassed new or improved medicinal products, methodological standards, research infrastructures, and educational tools. All of the coordinators expressed that EMA’s contributions to their projects had increased the scientific relevance of their consortium’s work, and the EMA experts found that the knowledge and the deliverables produced by the projects were valuable, taking into consideration the time they had invested into them. In addition, interviewees highlighted some actions which could be taken to increase the regulatory significance of the project outcomes.ConclusionEMA’s engagement in external research projects benefits the consortia conducting them and supports the Agency’s mission to foster scientific excellence and advance regulatory science.