Competencias digitales en los ingresantes a la carrera de Licenciatura en Enfermería

Objetivo: Determinar las habilidades y conocimientos sobre las tecnologías de la información y la comunicación (TIC) de los ingresantes a la carrera de Licenciatura en Enfermería de una institución superior pública de Bahía Blanca, Provincia de Buenos Aires, Argentina. Metodología: Estudio observacional, descriptivo, transversal y cuantitativo. Se implementó un instrumento conformado por 59 preguntas con opciones de respuesta cerrada orientado a valorar las competencias digitales en los ingresantes a la carrera. Resultados: Participaron 386 ingresantes, mayormente de género femenino (85.49 %), del primer ciclo (74.35 %) y con 20 años o menos de edad (47.15 %). El 98.19 % tenía acceso a internet, el 79.27 % tiene computadora y más del 80 % tiene un amplio uso de redes sociales (WhatsApp, Instagram) y correo electrónico. Los ingresantes se autoevaluaron competentes en el programa MS Word, mientras que en MS Excel se declararon menos competentes. Hay desconocimiento y bajo desarrollo de habilidades para generar contenido, y un amplio despliegue de habilidades para buscar y descargar información de la web. La edad, el género, el tiempo diario de uso de internet y el ciclo de ingreso mostraron relación con el dominio de las herramientas digitales aplicadas a la educación. Conclusiones: Se identificó un desarrollo intermedio de competencias digitales aplicadas a la educación, lo que podría ameritar el diseño de programas que nivelen estas habilidades durante el proceso de ingreso o durante la formación.

Objetivo: determinar habilidades e conhecimentos sobre as tecnologias da informação e comunicação (TIC) dos calouros no curso de bacharelado em enfermagem em uma instituição pública de ensino superior na cidade de Bahía Blanca, província de Buenos Aires, Argentina. Metodologia: estudo observacional, descritivo, transversal e quantitativo. Foi utilizado um instrumento composto por 59 perguntas com opções de resposta fechada para avaliar as competências digitais dos calouros do curso. Resultados: Participaram 386 estudantes, em sua maioria do gênero feminino (85,49 %), do primeiro ciclo estudantil (74,35 %) e com idade igual ou inferior a 20 anos (47,15 %). 98,19 % tinham acesso à internet, 79,27 % tinham computador e mais de 80 % usavam amplamente as redes sociais (WhatsApp, Instagram) e o e-mail. Os calouros se auto-avaliaram competentes no programa MS Word, enquanto no MS Excel se declararam menos competentes. Há desconhecimento e baixo desenvolvimento de habilidades para gerar conteúdo e uma ampla demonstração de habilidades para pesquisar e baixar informações da web. A idade, o gênero, o tempo diário de uso da Internet e o ciclo de ingresso estudantil mostraram relação com o domínio das ferramentas digitais aplicadas à educação. Conclusões: Foi identificado um desenvolvimento intermediário de competências digitais aplicadas à educação, o que poderia demandar a concepção de programas que nivelem essas competências durante o processo de admissão ou durante a formação.

Objective: To determine the skills and knowledge about information and communication technologies (ICT) of entrants to the Bachelor's Degree in Nursing at a public higher institution in Bahía Blanca, Province of Buenos Aires, Argentina. Methodology: Observational, descriptive, transversal and quantitative study. An instrument was implemented consisting of 59 questions with closed response options aimed at assessing digital competencies in those entering the career. Results: 386 entrants participated, mostly female (85.49 %), from the first cycle (74.35 %) and 20 years old or younger (47.15%). 98.19 % had access to the internet, 79.27 % have a computer and more than 80 % have extensive use of social networks (WhatsApp, Instagram) and email. The entrants evaluated themselves as competent in the MS Word program, while in MS Excel they declared themselves less competent. There is a lack of knowledge and low development of skills to generate content and a wide range of skills to search and download information from the web. Age, gender, daily time of Internet use and entry cycle showed a relationship with the mastery of digital tools applied to education. Conclusions: An intermediate development of digital competencies applied to education was identified, and a high one for the use of social networks. The variables age, gender, daily time of Internet use and entry cycle were related to the knowledge and skills for using ICT applied to education.

Tools, Technologies and Frameworks for Digital Twins in the Oil and Gas Industry: An In-Depth Analysis.

The digital twin (DT), which involves creating a virtual replica of a physical asset or system, has emerged as a transformative set of tools across various industries. In the oil and gas (O&G) industry, the development of DTs represents a significant evolution in how companies manage complex operations, enhance safety, and optimize decision-making processes. Despite these significant advancements, the underlying tools, technologies, and frameworks for developing DTs in O&G applications remain non-standardized and unfamiliar to many O&G practitioners, highlighting the need for a systematic literature review (SLR) on the topic. Thus, this paper offers an SLR of the existing literature on DT development for O&G from 2018 onwards, utilizing Scopus and Web of Science Core Collection. We provide a comprehensive overview of this field, demonstrate how it is evolving, and highlight standard practices and research opportunities in the area. We perform broad classifications of the 98 studies, categorizing the DTs by their development methodologies, implementation objectives, data acquisition, asset digital development, data integration and preprocessing, data analysis and modeling, evaluation and validation, and deployment tools. We also include a bibliometric analysis of the selected papers, highlighting trends and key contributors. Given the increasing number of new DT developments in O&G and the many new technologies available, we hope to provide guidance on the topic and promote knowledge production and growth concerning the development of DTs for O&G.

SPINE20 Recommendations 2024 -Spinal Disability: Social Inclusion as a Key to Prevention and Management.

Spine disorders are the leading cause of disability worldwide. To promote social inclusion, it is essential to ensure that people can participate in their societies by improving their ability, opportunities, and dignity, through access to high-quality, evidence-based, and affordable spine services for all.To achieve this goal, SPINE20 recommends six actions.- SPINE20 recommends that G20 countries deliver evidence-based education to the community health workers and primary care clinicians to promote best practice for spine health, especially in underserved communities.- SPINE20 recommends that G20 countries deliver evidence-based, high-quality, cost-effective spine care interventions that are accessible, affordable and beneficial to patients.- SPINE20 recommends that G20 countries invest in Health Policy and System Research (HPSR) to generate evidence to develop and implement policies aimed at integrating rehabilitation in primary care to improve spine health.- SPINE20 recommends that G20 countries support ongoing research initiatives on digital technologies including artificial intelligence, regulate digital technologies, and promote evidence-based, ethical digital solutions in all aspects of spine care, to enrich patient care with high value and quality.- SPINE20 recommends that G20 countries prioritize social inclusion by promoting equitable access to comprehensive spine care through collaborations with healthcare providers, policymakers, and community organizations.- SPINE20 recommends that G20 countries prioritize spine health to improve the well-being and productivity of their populations. Government health systems are expected to create a healthier, more productive, and equitable society for all through collaborative efforts and sustained investment in evidence-based care and promotion of spine health.

Assessing a Couples-Based, Digital HIV Serostatus-Neutral Intervention (Para Ti, Para Mí, Para Nosotros) for Adult Cisgender Sexual Minority Male Couples in Lima, Peru: Protocol for a 6-Month Pilot Randomized Controlled Trial.

BACKGROUND: HIV disproportionately affects sexual minority men (SMM; eg, gay, bisexual, and other men who have sex with men) in Lima, Peru; epidemiological data estimate that 32% to 39% of new HIV infections occur among adult cisgender SMM within primary partnerships (ie, male couples). Most HIV prevention-care research in Lima, Peru, has focused on SMM as individuals and not couples. To help address this critical gap in prevention care, we developed Para Ti, Para Mí, Para Nosotros (P3): a couples-based, digital HIV serostatus-neutral intervention (DHI) for adult cisgender SMM couples in Lima, Peru. The P3 DHI is designed to facilitate couples with skill-building, communication, decision-making, and working together to form and adhere to a detailed prevention care plan that aligns with their explicit sexual agreement. The P3 DHI is theoretically informed, self-guided, directed, sequential, and fully automated. OBJECTIVE: This pilot randomized controlled trial (RCT) aims to examine the preliminary effects of P3 on couples' formation and adherence to a detailed prevention care plan containing evidence-based strategies that also aligns with their explicit sexual agreement over time. In addition, the feasibility of enrollment and retention and couples' acceptability of P3 will be assessed. METHODS: The research implements a prospective, 6-month pilot RCT with a 3-month delayed control condition. After baseline, 60 enrolled SMM couples will be randomized to 1 of 2 conditions. Couples randomized to the unmatched, delayed control condition will receive access to the P3 DHI to use during the last 3 months of the trial after the 3-month assessment. Couples randomized to the immediate intervention condition will immediately receive access to the P3 DHI for 6 months. Study assessments will occur at baseline and months 3 and 6. Descriptive, comparative, qualitative, and longitudinal analyses using generalized linear mixed-effect, multilevel, and actor-partner interdependence models will be conducted to address the specific aims. RESULTS: The 6-month pilot RCT is ongoing. Recruitment, enrollment, and data collection began in January 2023 and ended in April 2024. A total of 74 adult cisgender SMM couples met all inclusion criteria, provided consent, and were enrolled in the pilot RCT. Retention was 92% (68/74) at month 6. Data are currently being analyzed to address the 3 specific aims regarding feasibility, acceptability, and preliminary efficacy. CONCLUSIONS: Findings from this research will reveal whether couples deemed the P3 DHI to be acceptable. Findings will also highlight the preliminary efficacy of the P3 DHI on couples managing their vulnerability to HIV and other sexually transmitted infections (STIs) over time via alignment of their prevention-care plan and sexual agreement. Trial findings will help shape the future direction of the P3 DHI while addressing the existing gap in prevention and care services for couples in the local context. TRIAL REGISTRATION: ClinicalTrials.gov NCT05873855; https://clinicaltrials.gov/study/NCT05873855. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63106.

Peracetic Acid Efficacy on Disinfection of Photostimulable Phosphor Plates.

OBJECTIVES: To evaluate the antimicrobial efficacy of white vinegar, acetic acid and peracetic acid on photostimulable phosphor (PSP) plates disinfection, and to assess the disinfectant influence on the radiographic quality. METHODS: Eight PSP plates (Express system) were contaminated with Streptococcus mutans and Candida albicans. These plates were wiped with tissues without any substance, with white vinegar, acetic acid, and peracetic acid, followed by an agar imprint. Number of microbial colonies formed was recorded. Afterwards, the quality of radiographs was tested using the more efficient disinfectant. Before disinfection and after every five disinfections, two radiographs of an acrylic-block and two radiographs of an aluminum step-wedge were acquired for each plate. Density, noise, uniformity, and contrast were analyzed. Three oral radiologists evaluated the images for the presence of artifacts. One-way Analysis of Variance compared changes on gray values among the disinfections (α = 0.05). Intra- and inter-examiner agreement for the presence of artifacts was calculated by weighted Kappa. RESULTS: Peracetic acid was the only one that eliminated both microorganisms. Density and uniformity decreased after 100 disinfections, and contrast changed without a pattern in the course of disinfections (P ≤ 0.05). Small artifacts were observed after 30 disinfections. Intra- and inter-examiner agreements were almost perfect. CONCLUSIONS: Disinfection with peracetic acid eliminated both microorganisms. However, it also affected density, uniformity and contrast of radiographs, and led to the formation of small artifacts.

Digital Transformation and Its Relationship to the Job Performance of Employees at a Private University in Peru.

Background: Private universities in Peru still need to implement digital transformation models to enhance the job performance of faculty and staff, achieving consistent improvement in the performance levels of university teachers by deploying technological and didactic tools for students. Therefore, the study aims to determine the relationship between digital transformation and the job performance of employees at a Private University. Methods: The research approach was quantitative, employing a non-experimental, longitudinal correlational design. The technique used was a survey, applied to a sample of 104 employees (school heads, faculty, and a director) from the university on a national level from a total population of 144. Results: Descriptive results reveal that the university has regularly adopted tools related to digital transformation. In particular, it has efficiently employed agile technologies, Big Data, and various technological means, benefiting 90% (52% and 38%) of the staff. The study also showed a high positive correlation (0.92>0.7) between digital transformation and the job performance of staff at the Private University, confirming that there is a significant connection between the variables studied. Conclusions: Therefore, creating an innovative culture across all hierarchical levels and identifying key technologies that add value to the learning flow can meet the needs of an increasingly demanding society.

Mediating role of digital skills and mobile self-efficacy in the stress and academic engagement of Peruvian university students in postpandemic virtual environments.

BACKGROUND: Remote education emerged as an option during the COVID-19 pandemic; however, this modality continues to be used by various universities around the world in the postpandemic context. The aim of this study was to determine the mediating role of digital skills and mobile self-efficacy in the influence of stress on the academic engagement of Peruvian university students during remote teaching by COVID-19 using structural equation modeling (SEM). METHOD: This study involved 1,468 students from nine public and private universities in northern Peru who had undergraduate and graduate distance learning programs. RESULTS: The results showed that stress negatively influenced academic engagement (ß=-0.107*) and digital skills (ß=-0.328***). In addition, digital skills (ß = 0.470**) and mobile self-efficacy (ß = 0.684***) positively influence academic engagement. Similarly, digital skills mediate the relationship between stress and academic engagement (ß=-0.154**), and both variables act as sequential mediators in this relationship (ß=-0.348***). CONCLUSION: This study provides a deeper understanding of the factors that influence academic engagement during Remote education and lays the groundwork for the development of interventions and training programs tailored to hybrid learning contexts that promote the well-being and academic success of college students in postpandemic times.

Adaptation and Biomechanical Performance of Custom-Fit Mouthguards Produced Using Conventional and Digital Workflows: A Comparative In Vitro Strain Analysis.

BACKGROUND/OBJECTIVES: The use of different models for the fabrication of custom-fit mouthguards (MTGs) can affect their final thickness, adaptation, and shock-absorption properties. This study aimed to evaluate the adaptation, thickness, and shock absorption of ethylene-vinyl acetate (EVA) thermoplastic MTGs produced using conventional plaster or three-dimensional (3D) printed models. MATERIALS AND METHODS: A typical model with simulated soft gum tissue was used as the reference model to produce MTGs with the following two different protocols: plast-MTG using a conventional impression and plaster model (n = 10) and 3DPr-MTG using a digital scanning and 3D printed model (n = 10). A custom-fit MTG was fabricated using EVA sheets (Bioart) plasticized over different models. The MTG thickness (mm), internal adaptation (mm) to the typodontic model, and voids in the area (mm2) between the two EVA layers were measured using cone-beam computed tomography images and Mimics software (Materialize). The shock absorption of the MTG was measured using a strain-gauge test with a pendulum impact at 30° with a steel ball over the typodont model with and without MTGs. Data were analyzed using one-way analysis of variance with repeated measurements, followed by Tukey's post hoc tests. RESULTS: The 3DPr-MTG showed better adaptation than that of the Plast-MTG at the incisal/occlusal and lingual tooth surfaces (p < 0.001). The 3DPr-MTG showed a thickness similar to that of the Plast-MTG, irrespective of the measured location. MTGs produced using both model types significantly reduced the strain values during horizontal impact (3DPr-MTG 86.2% and Plast-MTG 87.0%) compared with the control group without MTG (p < 0.001). CONCLUSION: The MTGs showed the required standards regarding thickness, adaptation, and biomechanical performance, suggesting that the number and volume of voids had no significant impact on their functionality. Three-dimensional printed models are a viable alternative for MTG production, providing better adaptation than the Plast-MTG at the incisal/occlusal and lingual tooth surfaces and similar performance as the MTG produced with the conventional protocol.

The use of the e-SUS Território mobile application in the work of community health workers in Brazil.

Objective: Community health workers work directly in the communities and are the intermediaries between the population's needs and the primary health care teams. Their work focuses on health education and preventing diseases and disorders, accompanying citizens, families, and households in a particular neighborhood. This study sought to analyze the use of the e-SUS Território application in the work of community health workers in Brazil. Methods: Usability data extracted from Google Analytics from 2019 to 2022 were analyzed, including productivity indicators, number and location of users, and engagement. An overview of the application's main features was also provided. Results: The application is an important work tool used by these professionals, who stopped using printed sheets to record their activities and began recording them in a digital, unified, asynchronous way anywhere in Brazil, regardless of internet connectivity. The application had 425,000 active users in 2022, reaching 141,000 monthly active users in June of the same year, representing 54.8% of all community health workers in Brazil. Conclusion: This study demonstrates the wide and exponential adherence of the e-SUS Território application over the years and the increase in the productivity of professionals who use it, facilitating and encouraging the recording of health information.

Effectiveness of different surface treatments on bond strength between 3D-printed teeth and denture base.

PURPOSE: To investigate the effects of different surface treatments and thermal cycling on the shear bond strength between 3D-printed teeth and denture bases. MATERIAL AND METHODS: For the shear bond strength (SBS) test, the specimens were the maxillary central incisors (11 × 9 × 7 mm) bonded on a cylindrical base (20 × 25 mm). The control group was heat-cured polymethylmethacrylate (PMMA) (N = 20). The printed group was divided into five subgroups (N = 20): no treatment, sandblasting with aluminum oxide (Al2O3), methyl methacrylate monomer, acetone, and adhesive with urethane dimethacrylate. Half of the samples were subjected to 2000 thermal cycling cycles, and all samples were subjected to the SBS test. The failure mode was established as adhesive, cohesive, or mixed through stereomicroscopic analysis. The surface roughness test (Sa) was performed using optical profilometry, and the rectangular specimens (14 × 14 × 2.5 mm) were divided into four groups according to the surface treatments (N = 7 per group). Paired T and Wilcoxon tests were conducted to perform comparisons within the same group. The Kruskal-Wallis and Dwass-Steel-Critchlow-Fligner post-hoc tests were conducted to compare the groups. RESULTS: Al2O3 sandblasting in the 3D-printed groups achieved high SBS values comparable to those of the control group in the thermal cycled (p = 0.962) and non-thermal cycled samples (p = 0.319). It was the only treatment capable of modifying the surface of the 3D-printed resin, thereby increasing the roughness (p = 0.016). CONCLUSIONS: Sandblasting is recommended to increase the bond strength between the tooth and denture bases.

Influence of Infill Patterns on the Shape Memory Effect of Cold-Programmed Additively Manufactured PLA.

In four-dimensional additive manufacturing (4DAM), specific external stimuli are applied in conjunction with additive manufacturing technologies. This combination allows the development of tailored stimuli-responsive properties in various materials, structures, or components. For shape-changing functionalities, the programming step plays a crucial role in recovery after exposure to a stimulus. Furthermore, precise tuning of the 4DAM process parameters is essential to achieve shape-change specifications. Within this context, this study investigated how the structural arrangement of infill patterns (criss-cross and concentric) affects the shape memory effect (SME) of compression cold-programmed PLA under a thermal stimulus. The stress-strain curves reveal a higher yield stress for the criss-cross infill pattern. Interestingly, the shape recovery ratio shows a similar trend across both patterns at different displacements with shallower slopes compared to a higher shape fixity ratio. This suggests that the infill pattern primarily affects the mechanical strength (yield stress) and not the recovery. Finally, the recovery force increases proportionally with displacement. These findings suggest a consistent SME under the explored interval (15-45% compression) despite the infill pattern; however, the variations in the mechanical properties shown by the stress-strain curves appear more pronounced, particularly the yield stress.

Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocol.

In Colombia, cancer is recognized as a high-cost pathology by the national government and the Colombian High-Cost Disease Fund. As of 2020, the situation is most critical for adult cancer patients, particularly those under public healthcare and residing in remote regions of the country. The highest lag time for a diagnosis was observed for cervical cancer (79.13 days), followed by prostate (77.30 days), and breast cancer (70.25 days). Timely and accurate histopathological reporting plays a vital role in the diagnosis of cancer. In recent years, digital pathology has been globally implemented as a technological tool in two main areas: telepathology (TP) and computational pathology. TP has been shown to improve rapid and timely diagnosis in anatomic pathology by facilitating interaction between general laboratories and specialized pathologists worldwide through information and telecommunication technologies. Computational pathology provides diagnostic and prognostic assistance based on histopathological patterns, molecular, and clinical information, aiding pathologists in making more accurate diagnoses. We present the study protocol of the GLORIA digital pathology network, a pioneering initiative, and national grant-approved program aiming to design and pilot a Colombian digital pathology transformation focused on TP and computational pathology, in response to the general needs of pathology laboratories for diagnosing complex malignant tumors. The study protocol describes the design of a TP network to expand oncopathology services across all Colombian regions. It also describes an artificial intelligence proposal for lung cancer, one of Colombia's most prevalent cancers, and a freely accessible national histopathological image database to facilitate image analysis studies.

Digital Twin Methodology in Food Processing: Basic Concepts and Applications.

PURPOSE OF REVIEW: The goal of this article is to present a concise review about digital twin (DT) methodology and its application in food processing. We aim to identify the building blocks, current state and bottlenecks, and to discuss future developments of this approach. RECENT FINDINGS: DT methodology appears as a powerful approach for digital transformation of food production, via integration of modelling and simulation tools, sensors, actuators and communication platforms. This methodology allows developing virtual environments for real-time monitoring and controlling of processes, as well as providing actionable metrics for decision-making, which are not possible to obtain by physical sensors. So far, main applications were focused on refrigerated transport and storage of fresh produces, and thermal processes like cooking and drying. DT methodology can provide useful solutions to food industry towards productivity and sustainability, but requires of multidisciplinary efforts. Wide and effective implementation of this approach will largely depend on developing high-fidelity digital models with real-time simulation capability.

Droplet Digital PCR for Acinetobacter baumannii Diagnosis in Bronchoalveolar Lavage Samples from Patients with Ventilator-Associated Pneumonia.

Advanced diagnostic technologies have made accurate and precise diagnosis of pathogens easy. Herein, we present a new diagnostic method, droplet digital PCR (ddPCR), to detect and quantify Acinetobacter baumannii in mini bronchoalveolar lavage (mini-BAL) samples. A. baumannii causes ventilator-associated pneumonia (VAP), a severe healthcare infection affecting patients' lungs. VAP carries a high risk of morbidity and mortality, making its timely diagnosis crucial for prompt and effective management. Methodology. The assay performance was evaluated by comparing colonization data, quantitative culture results, and different generations of PCR (traditional PCR and Real-Time PCR-qPCR Taqman® and SYBR® Green). The ddPCR and qPCR Taqman® prove to be more sensitive than other molecular techniques. Reasonable analytical specificity was obtained with ddPCR, qPCR TaqMan®, and conventional PCR. However, qPCR SYBR® Green technology presented a low specificity, making the results questionable in clinical samples. DdPCR detected/quantified A. baumanni in more clinical samples than other methods (38.64% of the total samples). This emerging ddPCR technology offers promising advantages such as detection by more patients and direct quantification of pathogens without calibration curves.

A machine learning approach to map the potential agroecological complexity in an indigenous community of Colombia.

Agroecological systems are potential solutions to the environmental challenges of intensive agriculture. Indigenous communities, such as the Kamëntsá Biyá and Kamëntsá Inga from the Sibundoy Valley (SV) in Colombia, have their own ancient agroecological systems called chagras. However, they are threatened by population growth and expansion of intensive agriculture. Establishing new chagras or enhancing existing ones faces impediments such as the necessity for continuous monitoring and mapping of agroecological potential. However, this method is often costly and time consuming. To address this limitation, we created a digital map of the Biodiversity Management Coefficient (BMC) (as a proxy of agroecological potential) using Machine Learning. We utilized 15 environmental predictors and in-situ BMC data from 800 chagras to train an XGBoost model capable of predicting a multiclass BMC structure with 70% accuracy. This model was deployed across the study area to map the extent and spatial distribution of BMC classes, providing detailed information on potential areas for new agroecological chagras as well as areas unsuitable for this purpose. This map captured footprints of past and present disturbance events in the SV, revealing its usefulness for agroecological planning. We highlight the most significant predictors and their optimal values that trigger higher BMC status.

Questões conjunturais sobre a regulação da IA / Conjunctural issues in AI regulation / Cuestiones coyunturales sobre la regulación de la IA

O texto parte da disputa em torno da regulação da inteligência artificial (IA) realmente existente, dividida entre dois polos, o da proteção da inovação e o da necessidade de mitigar riscos sociais e ambientais. Avança para apontar a colossal concentração de poder computacional e de dados nas mãos dos oligopólios digitais, as big techs. Levanta preocupações sobre o impacto dessa concentração na soberania digital e na capacidade do país em controlar suas infraestruturas e dados. Argumenta como a falta de transparência e explicabilidade nos sistemas de IA agrava os riscos de discriminação e exclusão social. Ainda, defende que a regulação da IA deve garantir direitos, salvaguardar a soberania e promover um ecossistema digital autônomo e inclusivo.

The text begins by addressing the debate surrounding the regulation of existing artificial intelligence (AI), divided between two poles: the protection of innovation and the need to mitigate social and environmental risks. It progresses to highlight the colossal concentration of computational power and data in the hands of digital oligopolies, the big tech companies. The text raises concerns about the impact of this concentration on digital sovereignty and the country's ability to control its infrastructures and data. It argues that the lack of transparency and explainability in AI systems exacerbates the risks of discrimination and social exclusion. The text advocates that AI regulation should ensure rights, safeguard sovereignty, and promote an autonomous and inclusive digital ecosystem.

El texto parte de la disputa en torno a la regulación de la inteligencia artificial (IA) existente, dividida entre dos polos: la protección de la innovación y la necesidad de mitigar riesgos sociales y ambientales. Avanza para señalar la colosal concentración de poder computacional y de datos en manos de los oligopolios digitales, las big tech. Plantea preocupaciones sobre el impacto de esta concentración en la soberanía digital y en la capacidad del país para controlar sus infraestructuras y datos. Argumenta que la falta de transparencia y explicabilidad en los sistemas de IA agrava los riesgos de discriminación y exclusión social. El texto defiende que la regulación de la IA debe garantizar derechos, salvaguardar la soberanía y promover un ecosistema digital autónomo e inclusivo.

Minimally invasive guided endodontic microsurgery with Zekrya bur: A 48-month follow-up case report.

Endodontic microsurgery guided by navigation systems represents a precise and minimally invasive approach for retreatment of apical periodontitis following failed conventional endodontic therapy. Accurate localization and minimal access to the root apex are paramount for successful outcomes and preservation of anatomical structures. Workflow considerations, such as three-dimensional (3D) virtual planning and endodontic guidance represent new crucial aspects for addressing complex cases. This clinical case report presents the successful reintervention of a complex case using a Zekrya bur, operative microscopy, cone beam computed tomography and biocompatible materials. After a 48-month follow-up, complete healing of the treated area was observed. This minimally invasive technique, employing a simple instrument widely available globally, underscores the potential for efficient and predictable outcomes in complex endodontic microsurgical retreatment.

Digital Parenting Program: Enhancing Parenting and Reducing Child Behavior Problems.

BACKGROUND/OBJECTIVES: Digital parenting programs using smartphone apps can support families in positive parenting and require evaluations of their effects, mainly in low- and middle-income countries with caregivers experiencing psychosocial vulnerabilities. The study evaluated the "Born Learning" digital parenting program on improving parenting practices, child prosocial behavior, and reducing the children's externalizing behavior problems. Additionally, participants' satisfaction and engagement with the program were evaluated. METHODS: Brazilian primary caregivers of 3- to 6-year-old children totaling 91, participated in the "Born Learning" program and pre-, post-intervention, and five-month follow-up evaluations. RESULTS: Most participants received cash transfers (64%) and reported some level of food insecurity (78%). The parenting coercive practices decreased from pre- to post-intervention, with maintenance in follow-up. Satisfaction with the role of parenting increased, and child conduct behavior problems decreased from pre-intervention to follow-up. Most participants found the program content very interesting and engaged adequately with the program strategies, such as messages and videos. CONCLUSIONS: The digital parenting program can support caregivers by enhancing parenting and decreasing child behavior problems, highlighting the potential for broader implementation in similar contexts.

Spatial distribution and factors influencing the accumulation of toxic metals in soils in mountain agroecosystems, Rio De Janeiro, Brazil.

The concentrations of toxic metals (TM) were analyzed in 498 samples of agricultural soils used for intensive vegetable cultivation in the watershed of Barracão dos Mendes, Brazil. The goal of this study was to characterize the distribution of these elements and the main natural and anthropogenic factors affecting their accumulation. In general, the average concentrations of TM were higher than the reference quality values for cultivated soils in the region, with the exception of Cr, Co, Ni and Mn, and the average concentration of Cd was ten times greater. Three sources of variation in the distribution of TM concentrations were identified: one related to topographic relief, another related to lithology, and one related to the massive use of agrochemicals. These factors contributed to TM accumulation in the soil; moreover, the transport of toxic metal-enriched clay by runoff resulted in higher concentrations of these elements in the lower parts of the slope. The long-term application of massive amounts of fertilizers and pesticides resulted in the accumulation of Cr, Cu, Zn, Ni, Pb and Cd in the vegetable cultivation soils and promoted the enrichment of macronutrients, mainly P and K. Moreover, the spatial distribution of TM in the agricultural soils of this mountain agroecosystem was affected by intensive vegetable cultivation, which altered the natural TM distribution dynamics determined by variations in topographic relief and lithology. In intensive cultivation areas, the TM distribution was also influenced by soil management practices such as tillage along the slope direction and massive mineral and organic fertilization.

Weakly-supervised deep learning models enable HER2-low prediction from H &E stained slides.

BACKGROUND: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has emerged as a new subtype of tumor, for which novel antibody-drug conjugates have shown beneficial effects. Assessment of HER2 requires several immunohistochemistry tests with an additional in situ hybridization test if a case is classified as HER2 2+. Therefore, novel cost-effective methods to speed up the HER2 assessment are highly desirable. METHODS: We used a self-supervised attention-based weakly supervised method to predict HER2-low directly from 1437 histopathological images from 1351 breast cancer patients. We built six distinct models to explore the ability of classifiers to distinguish between the HER2-negative, HER2-low, and HER2-high classes in different scenarios. The attention-based model was used to comprehend the decision-making process aimed at relevant tissue regions. RESULTS: Our results indicate that the effectiveness of classification models hinges on the consistency and dependability of assay-based tests for HER2, as the outcomes from these tests are utilized as the baseline truth for training our models. Through the use of explainable AI, we reveal histologic patterns associated with the HER2 subtypes. CONCLUSION: Our findings offer a demonstration of how deep learning technologies can be applied to identify HER2 subgroup statuses, potentially enriching the toolkit available for clinical decision-making in oncology.