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Invasive pneumococcal disease (IPD) is a major cause of morbidity and mortality worldwide, particularly in the pediatric population (children and infants), with high rates of hospitalization and death. This study aimed to create and validate a classifier for Streptococcus pneumoniae serotyping using Fourier-transform infrared (FT-IR) spectroscopy as a rapid alternative to the classical serotyping technique. In this study, a database comprising 76 clinical isolates, including 18 serotypes (predominantly serotypes 19A, 6C, and 3) of S. pneumoniae from pediatric patients with IPD, was tested at a tertiary pediatric hospital in southern Brazil during 2016–2023. All isolates were previously serotyped using the Quellung reaction, and 843 FT-IR spectra were obtained to create a classification model using artificial neural network (ANN) machine learning. After the creation of this classifier, internal validation was performed using 384 spectra as the training dataset and 459 as the testing dataset, resulting in a predictive accuracy of 98% for serotypes 19A, 6, 3, 14, 18C, 22F, 23A, 23B, 33F, 35B, and 9N. In this dataset, serotypes 10A/16F, 15ABC, and 7CF could not be differentiated and were, therefore, grouped as labels. FT-IR is a promising, rapid, and low-cost method for the phenotypic classification of S. pneumoniae capsular serotypes. This methodology has significant implications for clinical and epidemiological practice, improving patient management, monitoring infection trends, and developing new vaccines. [ABSTRACT FROM AUTHOR]

Serratia marcescens, isolated from the rhizosphere of rice crops, has the potential to improve the acquisition of scarce minerals and provide plant growth. Rice seeds microbiolized with S. marcescens and non-microbiolized seeds were sown in a culture medium enriched with non-labile phosphorus, and the roots were analyzed in WinRhizo. The plant segments were documented by scanning electron microscopy (SEM) and incubated in an NBRIP culture medium. DNAs from endophytic colonies were extracted and analyzed by PCR. The genome of S. marcescens was annotated using subsystem technology to detect genes involved in phosphorus solubilization, biofilm production, and growth promotion. The root system increased in area, volume, and length by 61.5, 31.5, and 101%, respectively. Halos were formed around segments of microbiolized plants, indicating the solubilization of non-labile phosphorus. SEM detected the presence of biofilms and microcolonies, identified as S. marcescens by the molecular markers. Genome annotation found genes with potential functions in plant growth promotion, including genes involved in the biosynthesis of indole-3-acetic acid, phosphate solubilization, and biofilm production. In the low phosphorus crop, the treated plants showed a 181% increase in total biomass. S. marcescens solubilizes non-labile phosphorus, colonizes endophytes, modifies the architecture of the root system, and promotes the growth of rice plants, and can be considered a biofertilizer for growing upland rice. [ABSTRACT FROM AUTHOR]

Deep learning approaches have been successfully applied to perform automatic classification of phase-resolved partial discharge (PRPD) diagrams. Under the supervised learning paradigm, however, the performance of classifiers strongly depends on the availability of large and previously labeled data sets. Labeling is an intensive and time-consuming labor, typically involving the manual annotation of a large number of data examples by an expert. In this work, we propose a label propagation algorithm applied to PRPD data sets, aiming to reduce the time necessary to manually label PRPDs. Our basic pipeline is composed of three phases: pre-processing, dimensionality reduction procedures, and clustering. Different configurations of the basic pipeline are tested by using PRPDs obtained from online measurements in hydrogenerators. The performance of each configuration is assessed by using the Silhouette, Caliński–Harabasz, and Davies–Bouldin scores. The clustering of the best three configurations is compared with annotated PRPDs by using the Fowlkes-Mallows index. Results suggest our strategy can substantially decrease the time for manual labeling. [ABSTRACT FROM AUTHOR]

Background and Aims: The gold standard method for measuring resting energy expenditure (REE) is indirect calorimetry (IC) using an expensive device that requires specialized training. To overcome the limitations of IC, REE prediction formulas are used in patients with chronic kidney disease (CKD). However, it is still controversial which of these formulas has greater accuracy compared to IC. We aimed to determine the accuracies of REE measured by IC and estimated by formulas in patients with CKD. Methods: Fifty-three patients with stage 4–5 CKD underwent IC and five current REE prediction formulas. Accuracy was measured by Lin's correlation coefficient. Bland–Altman repeated measures analysis was used to assess the agreement of the formulas' results with those of IC. Precision was measured by the predicted IC ± 10% and 20%. Systematic bias was assessed by the Student's t-test, and linear regression was used to assess proportionality bias. Results: Patients had a mean estimated glomerular filtration rate (eGFR) of 12 ± 4 mL/min/1.73 m2, a mean age of 65 years, and 62% were male. The mean REE measured by IC was 1341 ± 37 Kcal/day, and the formula with the lowest mean bias (0.1509 [−653.5121; 398.9056]), best correlation (r = 0.789; p = 0.000), and best accuracy (85%) was the formula developed by Fernandes and Cols (REE (kcal/day) = 854 + (7.4 × body weight) + (179 × sex) − (3.3 × age) + (2.1 × eGFR) + 26 (if diabetes)). Conclusions: The Fernandes and Cols equation had good accuracy and was valuable for estimating energy requirements in the population studied. [ABSTRACT FROM AUTHOR]

Purpose: The emergence of the COVID-19 pandemic changed the way in which education was delivered in early 2020, and the impacts of these changes continue to be questionable. The aims of this study were to evaluate: (1) the results obtained by students of the Dentistry course in the progress test carried out both before and after the pandemic, (2) the results obtained by a specific group of students who took the test in 2019–2022, and compare their results and (3) subjects that showed a reduction in the percentage of correct answers when the two tests were compared. Design/methodology/approach: The progress test consisting of 100 multiple choice questions was applied before and after the pandemic to all students in the Dentistry course. The analyses were performed using the IBM SPSS for Statistics v.26 software program. The level of significance of 5% was adopted (<0.05). Findings: The test was applied to 320 students in 2019 and to 272 in 2022, of whom the sample of this study was composed. The mean score values in 2019 (M = 49.10; SD = 12.03) were significantly (p = 0.026) higher than those in the year 2022 (M = 46.97; SD = 12.15), with the disciplines in the area of specific knowledge showing a greater drop in the percentage of correct answers by students. This study showed that the emergency remote education had a negative effect on the academic performance of students, based on the progress testing as an evaluation method. Originality/value: Many studies that assessed the impacts of the pandemic on teaching were focused on the opinions of students. However, the great advantage of our study was the use of a theoretical assessment tool to verify student performance. The post-pandemic landscape beckons for comprehensive inquiries into these domains. This type of research would be valuable for gathering evidence relative to the performance of students after the emergency remote education. [ABSTRACT FROM AUTHOR]

Simple Summary: Identification and counting of fish are relevant tools for managing the stocking, harvesting, and marketing of farmed fish. Researchers have used convolutional networks for these purposes and employed various approaches to improve network learning. Batch normalization is one technique that enhances network stability and accuracy. The study aimed to evaluate machine learning for identifying and counting pirapitinga Piaractus brachypomus fry with different batch sizes. The researchers used one thousand photographic images of Pirapitinga fingerlings, labeled with bounding boxes. They trained the adapted convolutional network model with batch normalization layers inserted at the end of each convolution block. The training involved one hundred and fifty epochs, with batch sizes for normalization set to 5, 10, and 20. Identifying and counting fish are crucial for managing stocking, harvesting, and marketing of farmed fish. Researchers have used convolutional networks for these tasks and explored various approaches to enhance network learning. Batch normalization is one technique that improves network stability and accuracy. This study aimed to evaluate machine learning for identifying and counting pirapitinga Piaractus brachypomus fry with different batch sizes. The researchers used one thousand photographic images of Pirapitinga fingerlings, labeled with bounding boxes. They trained the adapted convolutional network model with batch normalization layers added at the end of each convolution block. They set the training to one hundred and fifty epochs and tested batch sizes of 5, 10, and 20. Furthermore, they measured network performance using precision, recall, and mAP@0.5. Models with smaller batch sizes performed less effectively. The training with a batch size of 20 achieved the best performance, with a precision of 96.74%, recall of 95.48%, mAP@0.5 of 97.08%, and accuracy of 98%. This indicates that larger batch sizes improve accuracy in detecting and counting pirapitinga fry across different fish densities. [ABSTRACT FROM AUTHOR]

Staphylococcus aureus (S. aureus) is a Gram-positive bacterium that causes infections ranging from mild superficial cases to more severe, potentially fatal conditions. Many photosensitisers used in photodynamic therapy are more effective against superficial infections due to limitations in treating deeper tissue infections. Recently, attention to this bacterium has increased due to the emergence of multidrug-resistant strains, which complicate antibiotic treatment. As a result, alternative therapies, such as antimicrobial photodynamic therapy (PDT), have emerged as promising options for treating non-systemic infections. PDT combines a photosensitiser (PS) with light and oxygen to generate free radicals that destroy bacterial structures. This systematic review evaluates the effectiveness of PDT delivered via different types of hydrogels in treating wounds, burns, and contamination by S. aureus. Following PRISMA 2020 guidelines, a bibliographic search was conducted in PubMed, Web of Science, and Scopus databases, including articles published in English between 2013 and 2024. Seven relevant studies were included, demonstrating evidence of PDT use against S. aureus in in vitro and in vivo studies. We concluded that PDT can effectively complement antimicrobial therapy in the healing of wounds and burns. The effectiveness of this technique depends on the PS used, the type of hydrogel, and the lesion location. However, further in vivo studies are needed to confirm the safety and efficacy of PDT delivered via hydrogels. [ABSTRACT FROM AUTHOR]

Additive partial linear models with symmetric autoregressive errors of order p are proposed in this paper for modeling time series data. Specifically, we apply this model class to explain the weekly hospitalization for respiratory diseases in Sorocaba, São Paulo, Brazil, by incorporating climate and pollution as covariates, trend and seasonality. The main feature of this model class is its capability of considering a set of explanatory variables with linear and nonlinear structures, which allows, for example, to model jointly trend and seasonality of a time series with additive functions for the nonlinear explanatory variables and a predictor to accommodate discrete and linear explanatory variables. Additionally, the conditional symmetric errors allow the possibility of fitting data with high correlation order, as well as error distributions with heavier or lighter tails than the normal ones. We present the model class and a novel iterative process is derived by combining a P-GAM type algorithm with a quasi-Newton procedure for the parameter estimation. The inferential results, diagnostic procedures, including conditional quantile residual analysis and local influence analysis for sensitivity, are discussed. Simulation studies are performed to assess finite sample properties of parametric and nonparametric estimators. Finally, the data set analysis and concluding remarks are given. [ABSTRACT FROM AUTHOR]

Background/Objectives: Annona squamosa is used in folk medicine to treat pain and arthritis. Palmatine is an alkaloid isolated from several plants, including A. squamosa leaves. The aim of the present study was to investigate the analgesic, anti-arthritic, and anti-inflammatory potential of the methanolic extract of A. squamosa (EMAS) and palmatine. Methods: The chemical profile of EMAS was evaluated by ultra high-performance liquid chromatography with electrospray ionization coupled to mass spectrometry (UHPLC-ESI/MS). EMAS and palmatine were evaluated in carrageenan-induced pleurisy, zymosan-induced joint inflammation, formalin-induced nociception, and tumor necrosis factor (TNF)-induced mechanical hyperalgesia in experimental models in mice. A cytotoxicity test of EMAS and palmatine was performed using a methylthiazolidiphenyl-tetrazolium (MTT) bromide assay. Results: The analysis of the chemical profile of the extract showed the presence of palmatine, liriodenine, and anonaine. Oral administration of EMAS and palmatine significantly reduced leukocyte migration and oxide nitric production in the carrageenan-induced pleurisy model. EMAS and palmatine reduced mechanical hyperalgesia, leukocyte migration, and edema formation in the joint inflammation induced by zymosan. In the formalin test, palmatine was effective against the second-phase nociceptive response, mechanical hyperalgesia, and cold allodynia. In addition, palmatine reduced mechanical hyperalgesia induced by TNF. EMAS and palmatine did not demonstrate cytotoxicity. Conclusions: The present study showed that A. squamosa and palmatine are analgesic and anti-inflammatory agents, and that the anti-hyperalgesic properties of palmatine may involve the TNF pathway. Palmatine may be one of the compounds responsible for the anti-hyperalgesic and/or anti-arthritic properties of this medicinal plant. [ABSTRACT FROM AUTHOR]

Purpose: To develop and validate the Brazilian Adductor Performance Test (BAPT) for predicting hip adductor muscle injuries in elite soccer athletes. Methods: A total of 108 soccer athletes were assessed, followed up for 3 months, and evaluated for a history of adductor injury 6 months before BAPT evaluation. The Shapiro–Wilk test was used as the normality test. The Mann–Whitney U test was used to compare BAPT scores between injured and uninjured athletes. Binary logistic regression was performed to identify the athletes' chances of injury based on their BAPT scores. A receiver operating characteristic curve was used to determine the cutoff point for the number of repetitions in the BAPT and Spearman bivariate correlation and identify factors potentially related to the test score. Furthermore, the intraclass correlation coefficient was used to determine interexaminer agreement. The level of significance was set at 95%. Results: The BAPT scores for hip adductor injury history did not differ significantly (P =.08). A significant deficit was identified in the BAPT scores of the injured athletes at the 3-month follow-up (P =.001). The cutoff point identified was 33 repetitions. Low BAPT scores increased the chance of injury by 20% (odds ratio, 1.20%; P =.001). The interexaminer agreement was.96 (P =.001). Conclusion: BAPT can be used to identify athletes most likely to sustain hip adductor muscle injuries, indirectly reducing the rate of this injury in soccer clubs. [ABSTRACT FROM AUTHOR]

Background/Objectives: Patients with post-COVID-2019 syndrome may have reduced functional capacity and physical activity levels. The pulmonary rehabilitation program (PRP)—an exercise training program—is designed to restore these functions and has been shown to improve dyspnea, exercise capacity, and other measures in these patients. This study aimed to analyze the effects of the RP on post-COVID-19 syndrome patients with respect to objective and subjective functional capacity, balance, and musculoskeletal strength. Methods: A prospective interventional trial was conducted before and after this phase. Patients were referred to the hospital with a confirmed diagnosis of SARS-CoV-2 and subsequently directed to the RP. These patients underwent an 8-week pulmonary rehabilitation program (45-min sessions 3 times/week). Each session consisted of stationary cycle-ergometer and resistance musculoskeletal exercises tailored to individuals' performance. They were evaluated pre- and post-PRP using the maximal handgrip strength (HGS) test, timed up-and-go test, 6-min walk test and its derived variables, and Duke Activity Status Index questionnaire. Results: From 142 hospitalized patients admitted with a diagnosis of SARS-CoV-2 infection, 60 completed the program, with an attendance rate of 85%. Nineteen patients were categorized as severe/critical, with a significantly higher hospital stay, compared to mild/moderate patients, and there were no differences in terms of sex distribution, age, or BMI between groups. Compared to the pre-PRP evaluation, both groups showed significant (p < 0.001) improvements in TUG, HGS, DASI D6MWT, 6MWS, and DSP variables after the PRP conduction. In addition, the groups exhibited similar improvement patterns following PRP (intragroup analysis), with no intergroup differences. Conclusions: RPs promote both objective and subjective functional capacity in patients with post-COVID-19 syndrome, with no difference in improvement regardless of the severity of the initial infection. [ABSTRACT FROM AUTHOR]

Several lung diseases can cause structural damage, making lung transplantation the only therapeutic option for advanced disease stages. However, the transplantation success rate remains limited. Lung bioengineering using the natural extracellular matrix (ECM) of decellularized lungs is a potential alternative. The use of undifferentiated cells to seed the ECM is practical; however, sterilizing the organ for recellularization is challenging. Photobiomodulation therapy (PBMT) may offer a solution, in which the wavelength is crucial for tissue penetration. This study aimed to explore the potential of optimizing lung recellularization with mesenchymal stem cells using PBMT (660 nm) after sterilization with PBMT (880 nm). The lungs from C57BL/6 mice were decellularized using 1% SDS and sterilized using PBMT (880 nm, 100 mW, 30 s). Recellularization was performed in two groups: (1) recellularized lung and (2) recellularized lung + 660 nm PBMT (660 nm, 100 mW, 30 s). Both were seeded with mesenchymal stem cells from human tooth pulp (DPSc) and incubated for 24 h at 37 °C and 5% CO2 in bioreactor-like conditions with continuous positive airway pressure (CPAP) at 20 cmH2O and 90% O2. The culture medium was analyzed after 24 h. H&E, immunostaining, SEM, and ELISA assays were performed. Viable biological scaffolds were produced, which were free of cell DNA and preserved the glycosaminoglycans; collagens I, III, and IV; fibronectin; laminin; elastin; and the lung structure (SEM). The IL-6 and IL-8 levels were stable during the 24 h culture, but the IFN-γ levels showed significant differences in the recellularized lung and recellularized lung + 660 nm PBMT groups. Greater immunological modulation was observed in the recellularized groups regarding pro-inflammatory cytokines (IL-6, IFN-γ, and IL-8). These findings suggest that PBMT plays a role in cytokine regulation and antimicrobial activity, thus offering promise for enhanced therapeutic strategies in lung bioengineering. [ABSTRACT FROM AUTHOR]

Purpose: Social media has become an inescapable part of our lives. However, recent research suggests that excessive use of social media may lead to fatigue and users' disengagement. This study aims to examine which brand-related factors contribute to social media fatigue (SMF) and its subsequent role on driving lurking behaviors, particularly among young consumers. Design/methodology/approach: Based on survey data from 282 young users of social media, a holistic model of brand-related drivers and outcomes of SMF was tested, emphasizing the contribution of brands' social media presence to users' disengagement. Findings: Research shows that branded content overload and irrelevance, as well as branded ads intrusiveness significantly impact SMF, which in turn plays a mediating role between brand-related drivers and lurking behaviors. The authors further conclude that the impact of SMF on lurking is stronger for users who follow a larger set of brands. Originality/value: The study contributes to social media research by addressing its "dark side" and empirically validating the role of brands' social media presence in developing young users' fatigue and disengagement. The study further adds to the scant literature on SMF, which was mostly developed outside the branding field. Research also provides valuable insights to brands on how to improve their social media performance. [ABSTRACT FROM AUTHOR]

The decoction of Salvia lachnostachys Benth. leaves is used in Brazilian folk medicine for anti-spasmodic, antipyretic, and anxiolytic purposes. Some of the biological effects of an S. lachnostachys extract have been shown to be anti-inflammatory, anti-cancer, and antidepressant effects. In addition, this medicinal plant produces several compounds including icetexane diterpenoids, such as fruticuline A and fruticuline B. The aim of the present work was to evaluate the anti-hyperalgesic and anti-inflammatory properties of fruticuline B (FRUT B) and the ethanolic extract obtained from the leaves of S. lachnostachys (EESL) in experimental mouse models. EESL (30, 100, and 300 mg/kg) and FRUT B (1 mg/kg) were evaluated in articular inflammation-induced models in Swiss mice. In articular inflammation induced by Zymosan, EESL (300 mg/kg) and FRUT B (1 mg/kg) significantly reduced mechanical hyperalgesia (83.17% inhibition for EESL and 81.19% for FRUT B); edema (68.75% reduction for EESL and 33.66% for FRUT B); leukocyte migration (81.3% for EESSL and 92.2% for FRUT B), and nitric oxide production (88.3% for EESL and 74.4% for FRUT B). The exposure to fruticuline B significantly inhibited the edema (51.5%), mechanical (88.12%) and cold hyperalgesia (80.8%), and myeloperoxidase (MPO) (63.4%) activity 24 h after CFA injection. In the pleurisy model, FRUT B reduced 89.1% of leukocyte migration and 50.3% in nitric oxide production. Four hours after carrageenan injection, FRUT B (1 mg/kg) diminished 89.11% of mechanical hyperalgesia, 65.8% of paw edema, and 82.12% of the response to cold hyperalgesia. In the MTT test, EESL and fruticuline B caused no cytotoxicity. The present study revealed, for the first time, the anti-arthritic and anti-nociceptive effects of FRUT B, pointing out the therapeutic potential of the species to control inflammation and nociception. Future studies are needed to evaluate other biological properties of fruticuline B and to better understand its mechanism of action. [ABSTRACT FROM AUTHOR]

Summary: Fermentation has been studied to improve the chemical composition and sensory profile of coffee, of interest to the food industry and farmers seeking competitiveness in the international market. This study addresses the influence of biotransformation on the synthesis of flavour precursor compounds and correlates subsequent processes, such as roasting, and chemical mechanisms responsible for the formation of coffee's sensory profiles. The results indicate that coffee fermentation contributes to the formation of precursor metabolites of volatile compounds and the different fermentation techniques favour the production of high‐quality coffee. Bibliometrics analysis from 2012 to 2022 highlighted Brazil and China with a high number of research, scientific collaborations, and international cooperation, indicating a current trend in research focused on sensory modulation. Fermentation technologies point to a promising scenario with the possibility of producing coffee with previously defined sensory characteristics. This market is in full development and corroborates the growing pace of coffee consumption. [ABSTRACT FROM AUTHOR]

The aim of this study was to evaluate the effect of adipose-derived stem cells (ADSCs) in the treatment of acute rupture of the Achilles tendon. It was a cross-sectional study involving 15 patients. Patients were randomly divided: group 1—rupture; group 2—suture; group 3—rupture + ADSCs. In the AOFAS score, the score was higher in group 3 with a significant difference. In the ATRS score, the score was higher in groups 2 and 3, also with a significant difference. As for the ultrasound score, there was a significant difference between the experimental groups in relation to this score, however, in the multiple comparisons test, comparing two groups at a time, it was possible to observe a significant difference of the experimental groups. It can be concluded that cell therapy in this condition may be a treatment option due to tissue regeneration and significant recovery of function. [ABSTRACT FROM AUTHOR]

Humans change the environment according to their need, causing modifications and affecting the local biodiversity. This work applied a set of dominant markers to test if urban populations of Cyperus ligularis L. (Cyperaceae) present less genetic diversity compared to forest/non‐urban populations, and if these environmental differences (land use) influence gene flow and population structure. Six available populations of C. ligularis were collected in different types of environments in Recife (Brazil). Overall 15 primers of DNA Amplification Fingerprinting and Inter Simple Sequence Repeat were applied and analyzed by proper statistics. The results revealed moderate genetic diversity, significant pairwise gene flow (Nem), and low differentiation between populations (FST). Land use had no direct correlation with genetic diversity or structure, however, an insular population showed higher differentiation from the remaining. Urban environments may not influence gene flow among C. ligularis populations in such environments; therefore, the genetic diversity is homogeneous in the analyzed area. [ABSTRACT FROM AUTHOR]

The Herpotrichiellaceae family is an important group of dematiaceous filamentous fungi, associated with a variety of pathogenic fungal species causing chromoblastomycosis (CBM) and phaeohyphomycosis (PHM), both with polymorphic clinical manifestations and worldwide incidence. Currently, the identification of this family and determination of the causative agent is challenging due to the subjectivity of morphological identification methods, necessitating the use of molecular techniques to complement diagnosis. In this context, genetic sequencing of the Internal Transcribed Spacer (ITS) has become the norm due to a lack of alternative molecular tools for identifying these agents. Therefore, this study aimed to develop PCR-Multiplex methodologies to address this gap. Sequences from the ITS and Large Subunit (LSU) of ribosomal DNA were used, and after manual curation and in vitro analyses, primers were synthesized for the identification of the targets. The primers were optimized and validated in vitro, resulting in two PCR-Multiplex methodologies: one for identifying the Herpotrichiellaceae family and the bantiana clade, and another for determining the species Fonsecaea pedrosoi and Fonsecaea monophora. Ultimately, the assays developed in this study aim to complement other identification approaches for these agents, reducing the need for sequencing, improving the management of these infections, and enhancing the accuracy of epidemiological information. [ABSTRACT FROM AUTHOR]

This study aimed to evaluate the influence of combined intermittent fasting (IF) and high‐intensity interval training (HIIT) on morphology, caspase‐independent apoptosis signaling pathway, and myostatin expression in soleus and gastrocnemius (white portion) muscles from healthy rats. Sixty‐day‐old male Wistar rats (n = 60) were divided into four groups: control (C), IF, high‐intensity‐interval training (T), and high‐intensity‐interval training and intermittent fasting (T‐IF). The C and T groups received ad libitum chow daily; IF and T‐IF received the same standard chow every other day. Animals from T and T‐IF underwent a HIIT protocol five times a week for 12 weeks. IF reduced gastrocnemius mass and increased pro‐apoptotic proteins apoptosis‐inducing factor (AIF) and endonuclease G (EndoG) in soleus and cleaved‐to‐non‐cleaved PARP‐1 ratio and myostatin expression in gastrocnemius white portion. HIIT increased AIF and apoptosis repressor with caspase recruitment domain expression in soleus and cleaved‐to‐total PARP‐1 ratio in gastrocnemius muscle white portion. The combination of IF and HIIT reduced fiber cross‐sectional area in both muscles, increased EndoG and AIF expression, and decreased cleaved‐to‐non‐cleaved PARP‐1 ratio in gastrocnemius muscle white portion. Muscle responses to IF and HIIT are directly impacted by the muscle fiber type composition and are modulated, at least in part, by myostatin and caspase‐independent apoptosis signaling. [ABSTRACT FROM AUTHOR]

The present study focused on evaluating the sequential fermentation (SF) method for FFase production from Aspergillus tamarii URM4634 using soybean bran as substrate. The SF was performed using soybean bran as substrate at 72 h and 30 °C and the maximum hydrolytic activity (44.00 U mL−1), corresponding to an increase of 2.98-fold to about SmF using sucrose as substrate. Already the maximum transfructosylating activity was 26.10 U mL−1. The FFase presents maximum hydrolytic activity at pH 5.0–6.0 and transfructosylating at pH 6.0 and 60 °C for both enzyme activities. The enzyme showed a typical hydrolytic kinetic profile evidenced by more affinity by sucrose hydrolysis reaction than the fructosyl transfer one. From kinetic and thermodynamic data of thermal denaturation, it was observed that the enzyme presents suitable at 55 °C, evidenced by the large half-life (990.21 min) and D values (3289.41 min). The maximum release of reducing sugars (8.45 g L−1) was obtained in hydrolysis of 20% sucrose during 180 min. The results obtained for FFase production by SF proved that this method can be used satisfactorily for sucrose-degrading enzymes and can contribute to the development of the SF technique to produce different industrial-interest enzymes. [ABSTRACT FROM AUTHOR]

Copyright of Periplo Sustentable is the property of Yanelli Daniela Palmas Castrejon and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We suggest a new method of localization of partial discharges in high-power electrical systems. Ozone in a hydrogenerator is produced by chemical reactions induced by partial discharges in the stator region. The transport of ozone in an operating hydrogenerator is analyzed using a computational fluid dynamics model. The main aim of this work is to evaluate the ozone distribution in the generator radiators. Ozone sources are introduced into the stator model in different positions to analyze their effect on the measured values at the sensing points of radiators. Our results demonstrate a possibility of localization of partial discharges in hydrogenerator stator bars by ozone emission. [ABSTRACT FROM AUTHOR]

Buccal bone walls present significant resorption after tooth extraction, possibly related to the smaller bone thickness, length, and the sagittal position of the root, as well as the bone morphology. The goal of the present study was to measure the thickness of the cortical bone of the vestibular and palatal walls in the anterior maxilla by means of CBCT images. Measurements were taken from CBCT scans of 300 maxillary anterior teeth from 50 patients (25 women, 25 men) aged 18 to 30 years. The parameters evaluated included the thickness of the buccal and palatal cortical bone in the cervical, apical, and middle thirds of the root, as well as six specific angular measurements from each tooth. The lateral incisors showed a significant difference in thickness between each of the buccal and palatal thirds, and measurements were also significantly smaller than the central and canine incisors. Bone anatomy is toothand location-specific, and thus the sagittal root position within the alveolus influences the regional bone morphology and may explain the gingival zenith position in the anterior maxilla. These specific buccal and palatal anatomic parameters should be carefully taken into consideration for surgical planning and intervention in the esthetic area. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Surgery & Clinical Research is the property of Master Editora and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Brazilian Journal of Surgery & Clinical Research is the property of Master Editora and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Brazilian Journal of Surgery & Clinical Research is the property of Master Editora and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Brazilian Journal of Surgery & Clinical Research is the property of Master Editora and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Controlled Human Infection Models (CHIS) involve administering human pathogens to healthy participants in controlled medical settings, which can elicit complex bioethical issues. Understanding how the community perceives such studies can significantly increase the participant's sense of cooperation and increases the researcher's and the participant's transparency. The current study describes the development of an educational intervention to achieve these ends as it aims to (1) analyze perceptions of the Controlled Human Infection Studies (CHIS), and (2) evaluate the participants' comprehension of the CHIS. Methods: This is a qualitative action research that includes the development of an educational intervention with residents of a rural area in Minas Gerais, Brazil, where there is continuous natural transmission of the human pathogen Necator americanus ("hookworm"). In this area, it is intended to carry out a proposed phase 3 vaccine clinical trial in the future to test the efficacy of hookworm vaccines using controlled human infection. Two data collection strategies were used: an educational intervention and a focus group. Results: The participants' perceptions showed distinct perspectives on CHIS. On one side, they recognized that the investigation is essential for the community, but on the other side, they thought that there would be resistance to its conduct by fear of infection. The idea that the study would generate a benefit for the greater good, contributing to the prevention of hookworm infection, was clearly stated. The participants perceived that the study offered concrete risks that could be reduced by constant monitoring by the researchers. They also mentioned the importance of access to information and the positive influence those who express interest in participating in the study can exert in the community. In relation to comprehension the participants memorized the information, mobilized it to explain everyday situations and created strategies to disseminate the study and engage the community in its development. By repeating and making sense of the information, the participant not only assimilates the knowledge transmitted, but also creates new knowledge. Conclusion: We concluded that an educational process of discussion and dialogue around participants' perceptions about the CHIS, promotes understanding and allows ways to disseminate information about the research to be collectively created. [ABSTRACT FROM AUTHOR]

This research aimed to analyze the relationship between deforestation (DFT) and climatic variables during the rainy (CHU+) and less-rainy (CHU−) seasons in the Tapajós River basin. Data were sourced from multiple institutions, including the Climatic Research Unit (CRU), Center for Weather Forecasts and Climate Studies (CPTEC), PRODES Program (Monitoring of Brazilian Amazon Deforestation Project), National Water Agency (ANA) and National Centers for Environmental Prediction/National Oceanic and Atmospheric Administration (NCEP/NOAA). The study assessed anomalies (ANOM) in maximum temperature (TMAX), minimum temperature (TMIN) and precipitation (PREC) over three years without the occurrence of the El Niño–Southern Oscillation (ENSO) atmospheric–oceanic phenomenon. It also examined areas with higher DFT density using the Kernel methodology and analyzed the correlation between DFT and climatic variables. Additionally, it assessed trends using the Mann–Kendall technique for both climatic and environmental data. The results revealed significant ANOM in TEMP and PREC. In PREC, the highest values of ANOM were negative in CHU+. Regarding temperature, the most significant values were positive ANOM in the south, southwest and northwestern regions of the basin. Concerning DFT density, data showed that the highest concentration was of medium density, primarily along the highways. The most significant correlations were found between DFT and TEMP during the CHU− season in the Middle and Lower Tapajós sub-basins, regions where the forest still exhibits more preserved characteristics. Furthermore, the study identified a positive trend in TEMP and a negative trend in PREC. [ABSTRACT FROM AUTHOR]

Simple Summary: Simple Summary: Artificial incubation is essential in the development of poultry production, since it represents the beginning of the production process and the key point in avoiding problems in post-hatching chicks. Humidity and air temperature during the incubation period are essential elements for good embryonic development. Lighting is one of the main environmental elements in control of several physiological and behavioral processes of birds; therefore, it allows the establishment of rhythmicity, the synchronization of several indispensable functions of their body and the stimulation of secretion of several hormones related to growth, maturation and reproduction of birds. LED lamps can produce lights that change color, intensity and distribution, providing an environment closer to the natural one for birds, as it ensures better expression of their behavior. The use of artificial lighting during the incubation phase is a tool that has been studied with the aim of increasing the production rates and hatchability. Using this, this study aims to investigate the effects of the luminous incidence of white and red monochromatic light on the production and metabolism of broiler chicks subjected to low temperatures. A total of 315 eggs of Ross 708 heavy breeders were used. The eggs were distributed randomly, with 35 eggs per tray, totaling 105 eggs per incubator. The treatments were the following: incubation without the use of light; the use of white monochromatic light; and the use of red monochromatic light. The lamps used were of the LED type. The samples were distributed in the factorial completely randomized experimental design with position effect on the tray. Candling, egg weighing, calculating the probability of survival and egg weight loss were performed. Temperatures were recorded using a thermographic camera. At birth, three chicks per tray were euthanized for evaluation: weight with and without yolk residue, gastrointestinal tract biometry, and blood and liver biochemistry. Analyses were performed using the R computational program. It was observed that there was a significant effect of the treatments on the levels of calcium, phosphorus, cholesterol, amylase, glucose, urea and glutamate pyruvate transaminase on the biochemical profile of the blood and on the thermographic temperatures of the eggs; the experiment was kept at low temperatures resulting in thermal stress, with an average temperature of 34.5 °C. Therefore, the use of red and white monochromatic light in the artificial incubation process for brown-colored eggs is not recommended, because in the post-hatching phase, it promoted the metabolism dysregulation on the blood biochemical profile to control the differentiation in the wavelength of traditional incubation. [ABSTRACT FROM AUTHOR]

Coffee beverages are renowned for their complex chemical composition and sensory attributes. The Koar® filter holder, developed in Brazil, is an extraction method which utilizes percolation and is available in acrylic, stainless steel, ceramic, and porcelain variations. Thus, this study aimed to investigate how the manufacturing materials of Koar® filter holders impact the sensory profile of coffee beverages, as perceived by consumers. A group of 100 consumers were used, and the methods of check all that apply (CATA), and acceptance testing were applied. The results revealed significant variations in eight sensory attributes assessed by consumers. The beverages prepared with ceramic and porcelain filter holders exhibited similar sensory profiles, contrasting with those produced using acrylic and stainless steel. These sensory findings emphasize the impact of the Koar® filter holder material on the coffee beverage's sensory attributes and underscore the importance of understanding the specific perceptions and needs of the target audience. Practical applications: Considering the importance of the studies with consumers, this research presents findings that are very important for industries in the equipment production segment for the coffee beverage extraction process. Based on the results presented in this study, industries can develop products with specific materials that can enhance the sensorial attributes of the coffee beverage according to consumer preference. [ABSTRACT FROM AUTHOR]

Aquaculture allows sustainable fish farming to meet global demand; however, fish feed can contain mycotoxins and contaminate animals and humans. Bentonites are clayey materials composed mainly of montmorillonite and are used to reduce or diminish the toxicity of aflatoxins to animals and humans. In this sense, new cheap technologies from natural resources are necessary for controlling fungi and mycotoxins in food. However, information on the potential adverse effects on fish health and performance caused by adding bentonite clays to reduce mycotoxin exposure is scarce. Thus, this systematic review aims to analyze recent studies focusing on the use of bentonite clays as adsorbent materials for mycotoxins in fish feed. In this systematic evaluation of the literature on the subject, which was conducted in Cochrane, Science Direct, PubMed, and Scopus, 1,878 publications from the last 10 years were found, but 1,871 of them were excluded, leading to the selection of only seven for this study. The articles were classified according to the main theme of fish detoxification, the use of natural or chemically modified bentonite clays through adsorbents to remove mycotoxins. The results of the risk of bias analysis of the included studies (seven) were carried out according to the Down and Black criteria. The studies showed that hematological parameters such as total serum protein, albumin, alanine aminotransferase, aspartate aminotransferase, N-urea, and creatinine were altered in some fish species due to contamination by aflatoxin B1 in the diet. On the other hand, the use of bentonite reveals that it has the potential to reduce the effects of aflatoxicosis in fish, causing an increase in body weight, changes in serum enzymes related to humoral immunity, and changes in gill morphology and liver tissue. Contamination of fish diets (especially tilapia) by aflatoxins B1 produces severe changes in all investigated parameters and is extremely dangerous for fish productivity and public health. It was observed that adding clays to tilapia diets reduces the effects of aflatoxicosis while improving economic output and lowering health hazards by adsorbing aflatoxins B1. Thus, the use of bentonite clays is one of the most promising decontamination techniques that can be used by pisciculture. [ABSTRACT FROM AUTHOR]

In this paper, we present an unprecedented method based on Kohonen networks that is able to automatically recognize partial discharge (PD) classes from phase-resolved partial discharge (PRPD) diagrams with features of various simultaneous PD patterns. The PRPD diagrams were obtained from the stator windings of a real-world hydro-generator rotating machine. The proposed approach integrates classification probabilities into the Kohonen method, producing self-organizing probability maps (SOPMs). For building SOPMs, a group of PRPD diagrams, each containing a single PD pattern for training the Kohonen networks and single- and multiple-class-featured samples for obtaining final SOPMs, is used to calculate the probabilities of each Kohonen neuron to be associated with the various PD classes considered. At the end of this process, a self-organizing probability map is produced. Probabilities are calculated using distances, obtained in the space of features, between neurons and samples. The so-produced SOPM enables the effective classification of PRPD samples and provides the probability that a given PD sample is associated with a PD class. In this work, amplitude histograms are the features extracted from PRPDs maps. Our results demonstrate an average classification accuracy rate of approximately 90% for test samples. [ABSTRACT FROM AUTHOR]

In this paper, we develop a finite-difference time-domain (FDTD) model in which the time-evolving electrical conductivity of the air ionization plasma in DC voltage needed-plate setup is represented. Maxwell's equations are solved using the FDTD method, and the associated currents and discharge fields are computed over time and in three-dimensional space. The proposed model for the electrical conductivity is dependent on time, the applied DC voltage, and the gap length. The necessary data for developing the proposed model is obtained experimentally using a standard discharge needle, with its spherical tip measuring approximately 40 μ m in diameter. Once high voltage is applied, a steady state is achieved. The electrical conductivity σ (t) and its associated parameters are then calculated using nonlinear equations proposed to reproduce the experimentally obtained plasma behavior in the full-wave FDTD model. Voltage ranges from 4 kV to 9 kV, and gap distances are between 4 mm and 8 mm. [ABSTRACT FROM AUTHOR]

Copyright of Nucleus (16786602) is the property of Fundacao Educacional de Ituverava and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Cocaine-use disorder (CUD) has been associated with early life adversity and activated cellular immune responses. Women are most vulnerable to complications from chronic substance disorders, generally presenting an intense feeling of abstinence and consuming significant drug amounts. Here, we investigated neutrophil functional activities in CUD, including the formation of neutrophil extracellular traps (NETs) and related intracellular signalling. We also investigated the role of early life stress in inflammatory profiles. Methods: Blood samples, clinical data, and history of childhood abuse or neglect were collected at the onset of detoxification treatment of 41 female individuals with CUD and 31 healthy controls (HCs). Plasma cytokines, neutrophil phagocytosis, NETs, intracellular reactive oxygen species (ROS) generation, and phosphorylated protein kinase B (Akt) and mitogen-activated protein kinases (MAPK)s were assessed by flow cytometry. Results: CUD subjects had higher scores of childhood trauma than controls. Increased plasma cytokines (TNF-α, IL-1β, IL-6, IL-8, IL-12, and IL-10), neutrophil phagocytosis, and production of NETs were reported in CUD subjects as compared to HC. Neutrophils of CUD subjects also produced high levels of intracellular ROS and had more activated Akt and MAPKs (p38/ERK), which are essential signalling pathways involved in cell survival and NETs production. Childhood trauma scores were significantly associated with neutrophil activation and peripheral inflammation. Conclusion: Our study reinforces that smoked cocaine and early life stress activate neutrophils in an inflammatory environment. [ABSTRACT FROM AUTHOR]

Objective: Cocaine is a highly addictive psychostimulant that affects synaptic activity with structural and functional adaptations of neurons. The transmembrane synaptic vesicle glycoprotein 2A (SV2A) of pre-synaptic vesicles is commonly used to measure synaptic density, as a novel approach to the detection of synaptic changes. We do not know if a single dose of cocaine suffices to affect pre-synaptic SV2A density, especially during adolescence when synapses undergo intense maturation. Here, we explored potential changes of pre-synaptic SV2A density in target brain areas associated with the cocaine-induced boost of dopaminergic neurotransmission, specifically testing if the effects would last after the return of dopamine levels to baseline. Methods: We administered cocaine (20 mg/kg i.p.) or saline to rats in early adolescence, tested their activity levels and removed the brains 1 hour and 7 days after injection. To evaluate immediate and lasting effects, we did autoradiography with [3H]UCB-J, a specific tracer for SV2A, in medial prefrontal cortex, striatum, nucleus accumbens, amygdala, and dorsal and ventral areas of hippocampus. We also measured the striatal binding of [3H]GBR-12935 to test cocaine's occupancy of the dopamine transporter at both times of study. Results: We found a significant increase of [3H]UCB-J binding in the dorsal and ventral sections of hippocampus 7 days after the cocaine administration compared to saline-injected rats, but no differences 1 hour after the injection. The [3H]GBR-12935 binding remained unchanged at both times. Conclusion: Cocaine provoked lasting changes of hippocampal synaptic SV2A density after a single exposure during adolescence [ABSTRACT FROM AUTHOR]

Objective: The cingulate gyrus is implicated in the neurobiology of addiction, such as chronic cocaine consumption. Early life stress (ELS) is an important moderator of cocaine use disorder (CUD). Therefore, we investigated the effect of CUD on cingulate cortical thickness and tested whether a history of ELS could influence the effects of CUD. Methods: Participants aged 18–50 years (78 with CUD due to crack cocaine consumption and 53 healthy controls) underwent magnetic resonance imaging and the cingulate thickness (rostral anterior, caudal anterior, posterior, and isthmus regions) was analysed. The clinical assessment comprised the Childhood Trauma Questionnaire (CTQ) and the Addiction Severity Index. Group comparisons adjusting by sex, age, and education were performed. Mediation models were generated where lifetime cocaine use, CTQ score, and cortical thickness corresponded to the independent variable, intermediary variable, and outcome, respectively. Results: Group comparisons revealed significant differences in six out of eight cingulate cortices, showing lower thickness in the CUD group. Furthermore, years of regular cocaine use was the variable most associated with cingulate thickness. Negative correlations were found between CTQ scores and the isthmus cingulate (right hemisphere), as well as with the rostral anterior cingulate (left hemisphere). In the mediation analysis, we observed a significant negative direct effect of lifetime cocaine use on the isthmus cingulate and an indirect effect of cocaine use mediated by CTQ score. Conclusion: Our findings suggest that a history of ELS could aggravate the negative effects of chronic cocaine use on the cingulate gyrus, particularly in the right isthmus cingulate cortex [ABSTRACT FROM AUTHOR]

Intelligent manufacturing is a way to expand industrial manufacturing by integrating artificial intelligence and device technologies to provide great solutions to solve complex problems and improve industrial processes. Artificial intelligence has been used in intelligent manufacturing for monitoring and optimization processes, focusing on improving efficiency. This paper examines the predictive performance of six machine learning algorithms for modeling tyre weight in smart tire manufacturing from real data. The main contribution of this research is developing a scheme solution that uses machine learning algorithms to industrial processes in stored data large manufacturing processes, allowing the process engineer to manage the finished products and the process parameters. The proposed relevance vector machine is compared with other algorithms such as support vector machine, artificial neural network, k-nearest neighbors, random forest, and model trees. RVM algorithm presented the smallest measures of squared error and better performance than the other algorithms. This novel approach accurately predicts tyre weight patterns during production using machine learning algorithms to analyze relevant features and detect anomalies based on predicted process data. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Surgery & Clinical Research is the property of Master Editora and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Context. The strategic management of pigs raised in an intensive system has been conducted, in general, according to the average weight of piglets after weaning. Different models using morphometric parameters to predict the probability of any of the three weight classes (light, medium, and heavy) occurring post-weaning present themselves as an alternative to help the producer conduct these strategic managements. Aims. This study aimed to evaluate the development of suckling piglets by using morphometric parameters. Methods. A thousand simple samples were extracted at random from 268 piglets for the training data, which represent 70% of the original data set (384 piglets). The remaining 116 piglets (test data) were excluded from the analysis so as to verify the performance of the prediction (probability of each weight class to occur). Afterwards, the results were compared with the real weight class of the piglet at weaning. The variables in this research were birth weight (PWB), lactation length (Lac), and morphometric parameters of body length (BL), heart girth (HG), body mass index (BMI), ponderal index (PI), surface:mass ratio (SM), and parity order (PO). Different models were developed to predict the probability of any of the three weight classes (light, <3.967 kg; medium, 3.967-5.095 kg; and heavy, >5.095 kg) occurring at piglet weaning on the basis of their parameters 1 day postpartum. An adjustment of the ordinal regression was proposed to predict the weight classifications. Key results. The model with a significant effect of the Lac variables was selected. Conclusions and implications. One day after birth, light-weight and heavy-weight piglets, regardless of their morphometry, have a high likelihood of remaining in the same weight class at weaning. However, this does not apply to medium-sized piglets with diverse morphometry. [ABSTRACT FROM AUTHOR]

Background: In patients with atrial fibrillation (AF) and normal or slightly impaired renal function, the use of direct oral anticoagulants (DOACs) is preferable to vitamin K antagonists (VKAs). However, in patients undergoing hemodialysis, the efficacy, and safety of DOACs compared with VKAs are still unknown. Purpose: To review current evidence about the safety and efficacy of DOACs compared to VKAs, in patients with AF and chronic kidney disease under hemodialysis. Methods: We systematically searched PubMed, Scopus, and Cochrane databases for RCTs comparing DOACs with VKAs for anticoagulation in patients with AF on dialysis therapy. Outcomes of interest were: (1) stroke; (2) major bleeding; (3) cardiovascular mortality; and (4) all-cause mortality. Statistical analysis was performed using RevMan 5.1.7 and heterogeneity was assessed by I2 statistics. Results: Three randomized controlled trials were included, comprising a total of 383 patients. Of these, 218 received DOACs (130 received apixaban; 88 received rivaroxaban), and 165 were treated with VKAs (116 received warfarin; 49 received phenprocoumon). The incidence of stroke was significantly lower in patients treated with DOACs (4.7%) compared with those using VKAs (9.5%) (RR 0.42; 95% CI 0.18–0.97; p = 0.04; I2 = 0%). However, the difference was not statistically significant in the case of ischemic stroke specifically (RR 0.42; 95% CI 0.17–1.04; p = 0.06; I2 = 0%). As for the major bleeding outcome, the DOAC group (11%) had fewer events than the VKA group (13.9%) but without statistical significance (RR 0.75; 95% CI 0.45–1.28; p = 0.29; I2 = 0%). There was no significant difference between groups regarding cardiovascular mortality (RR 1.23; 95% CI 0.66–2.29; p = 0.52; I2 = 13%) and all-cause mortality (RR 0.98; 95% CI 0.77–1.24; p = 0.84; I2 = 16%). Conclusion: This meta-analysis suggests that in patients with AF on dialysis, the use of DOACs was associated with a significant reduction in stroke, and a numerical trend of less incidence of major bleeding compared with VKAs, but in this case with no statistical significance. Results may be limited by a small sample size or insufficient statistical power. [ABSTRACT FROM AUTHOR]

Purpose: The COVID-19 pandemic has created a significant disruption in the educational systems worldwide. Some institutions opted for emergency remote education due to the need to cancel in-person activities. The aims of this paper were to evaluate the use of asynchronous methodology in health sciences education, determine whether asynchronous methodology was sacrificing overall student satisfaction, and investigate whether satisfaction improved as the program develops. Design/methodology/approach: Initially, there was phase 1 that corresponded to four weeks of activities. Each professor produced a video lesson, and after each video lesson, a weekly educational activity was made available. Next, phase 2 was implemented using the same methodology, however lasting six weeks. Three questionnaires were developed, and a Likert scale was administered to verify the students' level of satisfaction. Data were analyzed using frequency distributions, mean values, standard deviation and confidence interval. The normality of the sum data (total of the questionnaires) was tested using the Kolmogorov–Smirnov test. Findings: Although the students pointed out that the asynchronous methodology facilitated access to the content and considered this methodology satisfactory, they expressed a reduced level of satisfaction regarding emergency remote education in general when data from the first weeks were compared to those of the previous weeks. It is clear that students became increasingly discouraged and tired over time, which motivated the institution to shift into a combination of synchronous and asynchronous methodology to improve student learning. Originality/value: Teaching in the field of health care encompasses difficult competencies that sometimes are impossible to be learned remotely, so there is a need to examine and evaluate properly the remote education in this area. With careful planning, educational institutions can evaluate their experiences during the pandemic, allowing those involved to highlight strengths and identify weaknesses to better prepare for future needs to improve remote education. [ABSTRACT FROM AUTHOR]