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The diagnosis of Moyamoya disease (MMD) relies heavily on imaging, which could benefit from standardized machine learning tools. This study aims to evaluate the diagnostic efficacy of deep learning (DL) algorithms for MMD by analyzing sensitivity, specificity, and the area under the curve (AUC) compared to expert consensus. We conducted a systematic search of PubMed, Embase, and Web of Science for articles published from inception to February 2024. Eligible studies were required to report diagnostic accuracy metrics such as sensitivity, specificity, and AUC, excluding those not in English or using traditional machine learning methods. Seven studies were included, comprising a sample of 4,416 patients, of whom 1,358 had MMD. The pooled sensitivity for common and random effects models was 0.89 (95% CI: 0.85 to 0.92) and 0.92 (95% CI: 0.85 to 0.96), respectively. The pooled specificity was 0.89 (95% CI: 0.86 to 0.91) in the common effects model and 0.91 (95% CI: 0.75 to 0.97) in the random effects model. Two studies reported the AUC alongside their confidence intervals. A meta-analysis synthesizing these findings aggregated a mean AUC of 0.94 (95% CI: 0.92 to 0.96) for common effects and 0.89 (95% CI: 0.76 to 1.02) for random effects models. Deep learning models significantly enhance the diagnosis of MMD by efficiently extracting and identifying complex image patterns with high sensitivity and specificity. Trial registration: CRD42024524998 https://www.crd.york.ac.uk/prospero/displayrecord.php?RecordID=524998.

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Odontogenic Keratocyst (OKC) is an aggressive cystic lesion of the jaws and one of the most common odontogenic cysts, usually affecting the posterior region of the mandible. Recurrences are frequently recorded and may be directly related to the treatment modality adopted. Two patients presenting OKC were treated by combining decompression and intralesional irrigation with the drug Elixir Sanativo® for 8 months before enucleation surgery. In both patients, the association between decompression and irrigation with Elixir Sanativo® represented a safe and effective method to reduce the preoperative lesion dimensions.

El queratoquiste odontogénico (QO) es una lesión quística agresiva de la mandíbula y es uno de los quistes odontogénicos más frecuentes, que suele afectar a la región posterior de la mandíbula. Las recidivas se registran con frecuencia y pueden estar directamente relacionadas con la modalidad de tratamiento adoptada. Presentación del caso: Dos pacientes que presentaban OKC fueron tratados combinando descompresión e irrigación intralesional con el fármaco Elixir Sanativo® durante 8 meses antes de la cirugía de enucleación. En ambos pacientes, la asociación entre descompresión e irrigación con Elixir Sanativo® representó un método seguro y eficaz para reducir las dimensiones de la lesión preoperatoria.

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A deeper understanding of gas emissions in milk production is crucial for promoting productive efficiency, sustainable resource use, and animal welfare. This paper aims to analyze ammonia and greenhouse gas emissions in dairy farming using bibliometric methods. A total of 187 English-language articles with experimental data from the Scopus and Web of Science databases (January 1987 to April 2024) were reviewed. Publications notably increased from 1997, with the highest number of papers published in 2022. Research mainly focuses on ammonia and methane emissions, including quantification, volatilization, and mitigation strategies. Other gases like carbon dioxide, nitrous oxide, and hydrogen sulfide were also studied. Key institutions include the University of California-Davis and Aarhus University. Bibliometric analysis revealed research evolution, identifying trends, gaps, and future research opportunities. This bibliometric analysis offers insights into emissions, air quality, sustainability, and animal welfare in dairy farming, highlighting areas for innovative mitigation strategies to enhance production sustainability. This research contributes to academia, enhancing agricultural practices, and informing environmental policies. It is possible to conclude that this research is a valuable tool for understanding the evolution of research on gas emissions in dairy cattle facilities, providing guidance for future studies and interventions to promote more sustainable production.

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The advancement of technology has significantly transformed the livestock landscape, particularly in the management of dairy cattle, through the incorporation of digital and precision approaches. This study presents a bibliometric analysis focused on these technologies involving dairy farming to explore and map the extent of research in the scientific literature. Through this review, it was possible to investigate academic production related to digital and precision livestock farming and identify emerging patterns, main research themes, and author collaborations. To carry out this investigation in the literature, the entire timeline was considered, finding works from 2008 to November 2023 in the scientific databases Scopus and Web of Science. Next, the Bibliometrix (version 4.1.3) package in R (version 4.3.1) and its Biblioshiny software extension (version 4.1.3) were used as a graphical interface, in addition to the VOSviewer (version 1.6.19) software, focusing on filtering and creating graphs and thematic maps to analyze the temporal evolution of 198 works identified and classified for this research. The results indicate that the main journals of interest for publications with identified affiliations are "Computers and Electronics in Agriculture" and "Journal of Dairy Science". It has been observed that the authors focus on emerging technologies such as machine learning, deep learning, and computer vision for behavioral monitoring, dairy cattle identification, and management of thermal stress in these animals. These technologies are crucial for making decisions that enhance health and efficiency in milk production, contributing to more sustainable practices. This work highlights the evolution of precision livestock farming and introduces the concept of digital livestock farming, demonstrating how the adoption of advanced digital tools can transform dairy herd management. Digital livestock farming not only boosts productivity but also redefines cattle management through technological innovations, emphasizing the significant impact of these trends on the sustainability and efficiency of dairy production.

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BACKGROUND: Runners seek health benefits and performance improvement. However, fatigue might be considered a limiting factor. Transcranial Direct Current Stimulation (tDCS) has been investigated to improve performance and reduce fatigue in athletes. While some studies showing that tDCS may improve a variety of physical measures, other studies failed to show any benefit. OBJECTIVE: To evaluate the acute effects of tDCS on central and peripheral fatigue compared to a sham intervention in recreational runners. METHODS: This is a triple-blind, controlled, crossover study of 30 recreational runners who were randomized to receive one of the two interventions, anodal or sham tDCS, after the fatigue protocol. The interventions were applied to the quadriceps muscle hotspot for 20 min. Peak torque, motor-evoked potential, and perceived exertion rate were assessed before and after the interventions, and blood lactate level was assessed before, during, and after the interventions. A generalized estimated equation was used to analyze the peak torque, motor-evoked potential, and blood lactate data, and the Wilcoxon test was used for perceived exertion rate data. RESULTS: Our findings showed no difference between anodal tDCS and sham tDCS on peak torque, motor-evoked potential, blood lactate, and perceived exertion rate. CONCLUSION: The tDCS protocol was not effective in improving performance and reducing fatigue compared to a sham control intervention. BRAZILIAN CLINICAL TRIALS REGISTRY: RBR-8zpnxz.

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BACKGROUND: Diabetes Mellitus (DM) is an important chronic disease that occurs worldwide. AIMS: This study aims to investigate how the use of the FreeStyle® Libre system in Unified Health System (SUS) patients impacts diabetes parameters in patients who receive education on proper insulin administration and the use of the continuous monitoring device, as well as how this affects patients without any concomitant multidisciplinary support in Sergipe, Brazil. METHODS: We conducted a prospective randomized study in a diabetes clinic in Sergipe, Brazil, using the flash method FreeStyle® Libre (Abbott). The participants were divided into two groups: one receiving diabetes education on CGM (continuous glucose monitoring), while the other did not. Before the intervention, the patient's treatment motivation and quality of life were assessed using a questionnaire, and baseline levels of glycated hemoglobin were measured using high-performance liquid chromatography (HPLC) and the point of care AlereTM Afinion with boronate fixation. We compared first- and second-phase data with respect to glycated hemoglobin, mean interstitial blood glucose, time on and above target for hypoglycemic and hyperglycemic events, and mean hypoglycemic duration. RESULTS: In group A, which received the diabetes education intervention, there was a significant reduction in average HbA1c levels from 8.6% to 7.9% after 3 months (p = 0.001). However, there was no significant difference in average glycemic values. Time above target decreased significantly from 50.62% to 29.43% (p = 0.0001), while time below target decreased from 22.90% to 20.21% (p = 0.002). There was no significant change in the number of hypoglycemic events, but the duration of hypoglycemia decreased significantly from 130.35 min to 121.18 min after 3 months (p = 0.0001). In Group B, there was no significant difference in mean HbA1c levels before (7.07%) and after (7.28%) sensor installation. This group maintained lower HbA1c levels compared to the other group. Average blood glucose levels also remained similar before (148.37 mg/dL) and after (154.65 mg/dL) the intervention. Although the time above the target glucose level increased significantly from 35.94% to 48.17%, the time at target decreased from 50.40% to 37.97%. No significant changes were observed in the time below target, the number of hypoglycemic events, or the duration of hypoglycemia. CONCLUSIONS: Our findings indicate that utilizing continuous glucose monitoring technology can enhance glycemic control, particularly in motivated, educated, low-income patients dependent on the SUS. To achieve positive results with FreeStyle Libre, it is imperative to allocate resources for multidisciplinary support.

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BACKGROUND: Coffee farming constitutes a substantial economic resource, representing a source of income for several countries due to the high consumption of coffee worldwide. Precise management of coffee crops involves collecting crop attributes (characteristics of the soil and the plant), mapping, and applying inputs according to the plants' needs. This differentiated management is precision coffee growing and it stands out for its increased yield and sustainability. RESULTS: This research aimed to predict yield in coffee plantations by applying machine learning methodologies to soil and plant attributes. The data were obtained in a field of 54.6 ha during two consecutive seasons, applying varied fertilization rates in accordance with the recommendations of soil attribute maps. Leaf analysis maps also were monitored with the aim of establishing a correlation between input parameters and yield prediction. The machine-learning models obtained from these data predicted coffee yield efficiently. The best model demonstrated predictive fit results with a Pearson correlation of 0.86. Soil chemical attributes did not interfere with the prediction models, indicating that this analysis can be dispensed with when applying these models. CONCLUSION: These findings have important implications for optimizing coffee management and cultivation, providing valuable insights for producers and researchers interested in maximizing yield using precision agriculture. © 2024 Society of Chemical Industry.

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BACKGROUND: Given the impact of the pandemic in Brazil, vaccination is essential to prevent illness and death. Thus, this study sought to compare, after vaccination, the circulation of SARS-CoV-2 and the response to vaccination in the least and most vaccinated municipalities of a Brazilian state during the height of the pandemic when the Omicron variant was dominant. METHODS: We tested for the SARS-CoV-2 antigen and confirmed infection using an RT-qPCR and measured IgM and IgG antibodies in fully vaccinated participants from municipalities with higher and lower vaccination rates. RESULTS: We showed that participants from the least vaccinated municipalities were more likely to have detectable IgM antibodies and a positive antigen/RT-qPCR result for SARS-CoV-2 than participants from the most vaccinated municipalities. There were no differences between the vaccines used (BNT162b2, Ad26.COV2.S, AZD1222, and CoronaVac) and antibody production. CONCLUSIONS: Our study evaluated municipal vaccination coverage and its effects on mortality, infections, and anti-SARS-CoV-2 antibodies during a critical phase of the pandemic. The results suggest that higher vaccination coverage reduces acute cases and confers higher memory antibody levels against SARS-CoV-2. Even with a full vaccination schedule, individuals living in places with low vaccination rates are more susceptible to infection.

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RESUMO: Objetivo: analisar a associação das variáveis dos fatores de risco para o suicídio com as atitudes relacionadas à segurança do paciente de profissionais de Enfermagem da Atenção Primária em Saúde, e atitudes relacionadas à segurança do paciente de profissionais de Enfermagem. Método: estudo transversal de abordagem quantitativa, junto a 251 profissionais de Enfermagem atuantes em Uberlândia-Brasil, realizado entre julho e setembro de 2020, com os instrumentos: Mini International Neuropsychiatric Interview Plus e Safety Attitudes Questionnaire-Short Form. Análise com métodos estatísticos inferenciais e de regressão múltipla. Resultados: atitudes negativas aumentada em 2% junto aos participantes com condições ou histórico de saúde para suicídio; cerca de 3% em portadores de alguma dor ou doença crônica entre aqueles que apresentaram risco para pensar em uma maneira de suicidar; cerca de 7% para participantes com comportamentos suicidas. Conclusão: saúde mental, histórico familiar e condições de trabalho estão interligados com atitudes laborais.

ABSTRACT Objective: to analyze the association between the variables of risk factors for suicide and attitudes related to patient safety among Primary Health Care Nursing professionals, and attitudes related to patient safety among Nursing professionals. Method: a cross-sectional study with a quantitative approach, with 251 nursing professionals working in Uberlândia-Brazil, carried out between July and September 2020, using the instruments: Mini International Neuropsychiatric Interview Plus and Safety Attitudes Questionnaire-Short Form. Analysis using inferential statistical methods and multiple regression. Results: negative attitudes increased by 2% among participants with health conditions or a history of suicide; around 3% among those with chronic pain or illness who were at risk of thinking of a way to commit suicide; around 7% for participants with suicidal behaviors. Conclusion: mental health, family history, and working conditions are interlinked with work attitudes.

RESUMEN Objetivo: analizar la asociación de variables de factores de riesgo para el suicidio con actitudes relacionadas con la seguridad del paciente de los profesionales de Enfermería de Atención Primaria de Salud y actitudes relacionadas con la seguridad del paciente de los profesionales de Enfermería. Método: estudio transversal, con enfoque cuantitativo, con 251 profesionales de Enfermería que actúan en Uberlândia-Brasil, realizado entre julio y septiembre de 2020, con los instrumentos: Mini International Neuropsychiatric Interview Plus y Safety Attitudes Questionnaire-Short Form. Análisis con métodos estadísticos inferenciales y de regresión múltiple. Resultados: las actitudes negativas aumentaron un 2% entre los participantes con condiciones o antecedentes de salud para el suicidio; alrededor del 3% en aquellos con algún dolor o enfermedad crónica entre los que estaban en riesgo de pensar en una forma de suicidarse; alrededor del 7% para los participantes con conductas suicidas. Conclusión: la salud mental, los antecedentes familiares y las condiciones de trabajo están interconectados con las actitudes laborales.

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Context: Confirmatory tests represent a fundamental step in primary aldosteronism (PA) diagnosis, but they are laborious and often require a hospital environment due to the risks involved. Objective: To evaluate the efficacy of oral furosemide as a new confirmatory test for PA diagnosis. Methods: We prospectively evaluated the diagnostic performance of 80 mg of oral furosemide in 64 patients with PA and 22 with primary hypertension (controls). Direct renin concentration (DRC) was measured before, and 2 hours and 3 hours after the oral furosemide. In addition, the oral furosemide test was compared with 2 other confirmatory tests: the furosemide upright test (FUT) and saline infusion test (SIT) or captopril challenge test (CCT) in all patients with PA. Results: The cut-off of 7.6 µU/mL for DRC at 2 hours after oral furosemide had a sensitivity of 92%, specificity of 82%, and accuracy of 90% for PA diagnosis. In 5 out of 6 controls with low-renin hypertension, which might represent a PA spectrum, renin remained suppressed. Excluding these 6 controls with low-renin hypertension, the DRC cut-off of 10 µU/mL at 2 hours after oral furosemide had a sensitivity of 95.3%, specificity of 93.7% and accuracy of 95% for PA diagnosis. DRC after 3 hours of oral furosemide did not improve diagnostic performance. Using the cut-off of 10 µU/mL, the oral furosemide test and the FUT were concordant in 62 out of 64 (97%) patients with PA. Only 4 out of 64 cases with PA (6.4%) ended the oral furosemide test with potassium <3.5 mEq/L. Hypotension was not evidenced in any patient with PA during the test. Conclusion: The oral furosemide test was safe, well-tolerated and represents an effective strategy for PA investigation.

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Carney-Stratakis syndrome (CSS) is an autosomal dominant rare syndrome, with incomplete penetrance, characterized by the association of paragangliomas and/or pheochromocytomas and gastrointestinal stromal tumors (GISTs). CSS is caused by germline heterozygous loss-of-function pathogenic variants (PVs) in the succinate dehydrogenase subunit genes (SDHB, SDHC, SDHD), with SDHB and SDHD being the most frequent. To date, only 2 germline SDHC PVs (c.43 C > T; c.405 + 1G > A) have been described in 3 patients with CSS. Three patients with CSS and very distinct clinical presentations are reported here: 1 caused by a germline SDHC large deletion and the others with metastatic GIST and negative genetic investigation for SDHx defects. Two cases (1 and 2) presented with pheochromocytoma (case 1 also with abdominal paraganglioma) and metastatic GIST. Although these 2 cases fulfilled the diagnostic criteria for CSS, the genetic investigation for SDHx PVs by next-generation sequencing and multiplex ligation-dependent probe amplification was negative. Case 3 had a large abdominal paraganglioma and a small low-grade GIST not associated with recurrence or metastasis. This case harbored a germline SDHC exon 3 deletion, not previously reported. In conclusion, CSS is a rare and morbid disease with distinct clinical presentations and genetic heterogeneity, which can contribute to underdiagnosis.