bluuebunny/crossref_metadata_2025_split huggingface dataset:
As práticas de assistência em saúde frente ao autismo infantil
Authors: Caldas Geovanna Renaissa Ferreira , Teixeira Larissa da Silva , Pereira Bárbara Lislla de Araújo , Cavalcanti Aniedne Hellen , Menezes Letícia Gabrielle César de Carvalho , Silva Vitória Madureira , Silva Rafaela Caetano da , Lima Mirelly Samara Moreira de , Ventura Bernardo Lannes 
Published: January 2023

Objetivou-se identificar como se dá a assistência por profissionais da área da saúde com crianças que possuem o diagnóstico de autismo. Trata-se de uma pesquisa de revisão bibliográfica, do tipo narrativa, exploratória e com uma abordagem qualitativa. Realizada através de busca nas bases de dados: Literatura Latino-Americana e do Caribe em Ciências da Saúde (Lilacs), Base de Dados da Enfermagem (BDENF) e Scientific Electronic Library Online (SciELO), todos esses via Biblioteca Virtual em Saúde (BVS), sendo uma biblioteca que reúne diversos bases dados. Para busca dentro dessas bases de dados, utilizou-se alguns Descritores em Ciências da Saúde (Decs), sendo eles: “Autismo”, “Autismo Infantil”, “Transtorno do Espectro Autista”, “Profissionais da Saúde”, “Assistência em Saúde Mental” e “Assistência à Saúde”, em associação ao operador booleano AND e OR. Com isso, entende-se que o papel dos profissionais que atuam na área da saúde é assegurar que as necessidades da família sejam satisfeitas desde o diagnóstico até o tratamento Observou-se então que, de uma maneira geral, essa atuação dos profissionais inclui o acolhimento adequado com escuta qualificada, a criação de vínculos com a criança e com os pais, a identificação precoce sinais para o diagnóstico prévio, o apoio perante tal diagnóstico, a realização de intervenções, o estímulo a busca por grupos de apoio, e principalmente, o estimulo a superar as limitações, conforme a evolução única de cada criança.
Aplicação de fontes de selenito e selenato na micropropagação de Digitalis mariana Boiss. ssp. Heywoodii
Authors: Moura Raíssa Couteiro , Santos Jandeilson Pereira dos , Assis Rafael Marlon Alves de , Rocha João Pedro Miranda , Leite Jeremias José Ferreira , Pereira Flávia Dionisio , Bertolucci Suzan Kelly Vilela , Pinto José Eduardo Brasil Pereira 
Published: January 2023

As espécies de Digitalis lanata e Digitalis mariana são exploradas industrialmente para a produção de digoxina e digitoxina, cardenolídeos empregados clinicamente na insuficiência cardíaca congestiva. Fatores ambientais, principalmente os fatores bióticos, interferem na produção vegetal. Problemas na produção convencional de Digitalis mariana por sementes têm afetado a produção de cardenolídeos pela planta. A cultura de tecidos vegetais é baseada na totipotencialidade das células e aplica diversas formas de cultura in vitro. Essa técnica tem sido usada para criar variabilidade genética e também micropropagação em larga escala de plantas para o mercado comercial. Em plantas, o selênio (Se) em baixas concentrações é benéfico para o metabolismo, e estimula o crescimento. Além disso há relatos que o Se pode ajudar as plantas a se manterem por mais tempo fisiologicamente ativas, aumentando a produção vegetal. Desta forma, objetivou-se avaliar a influência da aplicação de fontes de selênio no crescimento, teor de cardenolídeos totais e de pigmentos fotossintéticos de Digitalis mariana subsp. heywoodii cultivada in vitro. Foram testadas duas fontes de selênio: selenato de sódio e selenito de sódio nas concentrações de 0, 1, 10, 20, 50, 100 mg L-1. Após 40 dias foram avaliados o crescimento, produção dos pigmentos fotossintéticos e a cardenolídeos . A fonte mais indicada para a espécie é o selenato, bem como a melhor concentração é a de 1mg L-1, que promoveu crescimento na maior parte das variáveis avaliadas, além de aumentar a produção de clorofila a, clorofila b, carotenoides e cardenolídeos. O uso de selênio no meio de cultivo de D. mariana subsp. heywoodii pode ser uma alternativa para otimizar o cultivo da espécie in vitro.
Interseção entre as práticas integrativas e complementares no campo da saúde e ecologia dos saberes
Authors: Sousa Hellen Viana de , Costa Yago Mavignier Amaral da , Jales Césia Santos , Maslinkiewicz Alexandre , Figueiredo Tauana Reinstein de , França Hortência Freitas de , Castro Maria Claumyrla Lima , Santos Marcia Rodrigues dos 
Published: January 2023

O objetivo do estudo trata-se em identificar a interseção entre as práticas integrativas e complementares no campo da saúde e ecologia de saberes. O presente estudo trata-se de uma revisão integrativa da literatura, essa metodologia possui como principal finalidade gerar síntese de como os resultados foram adquiridos nas pesquisas. A elaboração de levantamento metodológico para a pesquisa foi realizada no período de dezembro de 2022, as bases de dados utilizadas foram as Literatura Latino-Americana e do Caribe em Ciências da Saúde, Base de Dados em Enfermagem e Medical Literature Analysis anda Retrievel System Online, utilizando os Descritores de Ciências em Saúde, sendo eles “Terapias Complementares”, “Saúde Mental” e “Saúde Pública”, através do operador booleano AND. Foi selecionado o quantitativo de dez artigos para compor o corpus de análise. Existe uma ligação entre as práticas culturais, a questão identitária e os cuidados com a saúde, por exemplo, quando se tem a abordagem do conhecimento técnico com as pessoas da comunidade sobre determinado assunto, as mesmas, não só aprendem conhecimentos, mas também ensinam os conhecimento adquiridos ao longo da vida, transformando assim em um processo de ensino-aprendizagem É notório o potencial e a necessidade do diálogo entre o conhecimento tradicional e conhecimento científico e isso não se restringe somente as questões relacionadas à saúde. É relevante enfatizar que, mesmo tendo o conhecimento da hegemonia imposta pelo conhecimento científico, este não deve ser desconsiderado, pois, de acordo com os estudos cada conhecimento à luz da ecologia de saberes possui seu grau de importância.
Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms
Authors: Limayem Alya , Mehta Mausam , Kondos Natalie , Kaushal Divya , Azam Farhat Binte , Chellappan Sriram , Qin Nan , Zhou Qingyu 
Published: January 2023

IntroductionSilver (Ag) nanoparticles (NPs) are well documented for their broad-spectrum bactericidal effects. This study aimed to test the effect of bioactive Ag-hydrosol NPs on drug-resistant E. faecium 1449 strain and explore the use of artificial intelligence (AI) for automated detection of the bacteria.MethodsThe formation of E. faecium 1449 biofilms in the absence and presence of Ag-hydrosol NPs at different concentrations ranging from 12.4 mg/L to 123 mg/L was evaluated using a 3-dimentional culture system. The biofilm reduction was evaluated using the confocal microscopy in addition to the Transmission Electronic Microscopy (TEM) visualization and spectrofluorimetric quantification using a Biotek Synergy Neo2 microplate reader. The cytotoxicity of the NPs was evaluated in human nasal epithelial cells using the MTT assay. The AI technique based on Fast Regional Convolutional Neural Network architecture was used for the automated detection of the bacteria.ResultsTreatment with Ag-hydrosol NPs at concentrations ranging from 12.4 mg/L to 123 mg/L resulted in 78.09% to 95.20% of biofilm reduction. No statistically significant difference in biofilm reduction was found among different batches of Ag-hydrosol NPs. Quantitative concentration-response relationship analysis indicated that Ag-hydrosol NPs exhibited a relative high anti-biofilm activity and low cytotoxicity with an average EC50 and TC50 values of 0.0333 and 6.55 mg/L, respectively, yielding an average therapeutic index value of 197. The AI-assisted TEM image analysis allowed automated detection of E. faecium 1449 with 97% ~ 99% accuracy.DiscussionConclusively, the bioactive Ag-hydrosol NP is a promising nanotherapeutic agent against drug-resistant pathogens. The AI-assisted TEM image analysis was developed with the potential to assess its treatment effect.
Predicting in-hospital all-cause mortality in heart failure using machine learning
Authors: Mpanya Dineo , Celik Turgay , Klug Eric , Ntsinjana Hopewell 
Published: January 2023

BackgroundThe age of onset and causes of heart failure differ between high-income and low-and-middle-income countries (LMIC). Heart failure patients in LMIC also experience a higher mortality rate. Innovative ways that can risk stratify heart failure patients in this region are needed. The aim of this study was to demonstrate the utility of machine learning in predicting all-cause mortality in heart failure patients hospitalised in a tertiary academic centre.MethodsSix supervised machine learning algorithms were trained to predict in-hospital all-cause mortality using data from 500 consecutive heart failure patients with a left ventricular ejection fraction (LVEF) less than 50%.ResultsThe mean age was 55.2 ± 16.8 years. There were 271 (54.2%) males, and the mean LVEF was 29 ± 9.2%. The median duration of hospitalisation was 7 days (interquartile range: 4–11), and it did not differ between patients discharged alive and those who died. After a prediction window of 4 years (interquartile range: 2–6), 84 (16.8%) patients died before discharge from the hospital. The area under the receiver operating characteristic curve was 0.82, 0.78, 0.77, 0.76, 0.75, and 0.62 for random forest, logistic regression, support vector machines (SVM), extreme gradient boosting, multilayer perceptron (MLP), and decision trees, and the accuracy during the test phase was 88, 87, 86, 82, 78, and 76% for random forest, MLP, SVM, extreme gradient boosting, decision trees, and logistic regression. The support vector machines were the best performing algorithm, and furosemide, beta-blockers, spironolactone, early diastolic murmur, and a parasternal heave had a positive coefficient with the target feature, whereas coronary artery disease, potassium, oedema grade, ischaemic cardiomyopathy, and right bundle branch block on electrocardiogram had negative coefficients.ConclusionDespite a small sample size, supervised machine learning algorithms successfully predicted all-cause mortality with modest accuracy. The SVM model will be externally validated using data from multiple cardiology centres in South Africa before developing a uniquely African risk prediction tool that can potentially transform heart failure management through precision medicine.
Multiple-model machine learning identifies potential functional genes in dilated cardiomyopathy
Authors: Zhang Lin , Lin Yexiang , Wang Kaiyue , Han Lifeng , Zhang Xue , Gao Xiumei , Li Zheng , Zhang Houliang , Zhou Jiashun , Yu Heshui , Fu Xuebin 
Published: January 2023

IntroductionMachine learning (ML) has gained intensive popularity in various fields, such as disease diagnosis in healthcare. However, it has limitation for single algorithm to explore the diagnosing value of dilated cardiomyopathy (DCM). We aim to develop a novel overall normalized sum weight of multiple-model MLs to assess the diagnosing value in DCM.MethodsGene expression data were selected from previously published databases (six sets of eligible microarrays, 386 samples) with eligible criteria. Two sets of microarrays were used as training; the others were studied in the testing sets (ratio 5:1). Totally, we identified 20 differently expressed genes (DEGs) between DCM and control individuals (7 upregulated and 13 down-regulated).ResultsWe developed six classification ML methods to identify potential candidate genes based on their overall weights. Three genes, serine proteinase inhibitor A3 (SERPINA3), frizzled-related proteins (FRPs) 3 (FRZB), and ficolin 3 (FCN3) were finally identified as the receiver operating characteristic (ROC). Interestingly, we found all three genes correlated considerably with plasma cells. Importantly, not only in training sets but also testing sets, the areas under the curve (AUCs) for SERPINA3, FRZB, and FCN3 were greater than 0.88. The ROC of SERPINA3 was significantly high (0.940 in training and 0.918 in testing sets), indicating it is a potentially functional gene in DCM. Especially, the plasma levels in DCM patients of SERPINA3, FCN, and FRZB were significant compared with healthy control.DiscussionSERPINA3, FRZB, and FCN3 might be potential diagnosis targets for DCM, Further verification work could be implemented.
Comparison of time-dependent viscosity slurry and cement-clay slurry for anti-seepage grouting on faults
Authors: Zhang Jiaxing , Pei Xiangjun , He Zhihao , Pei Zuan , Zheng Guoxun 
Published: January 2023

The complex rock mass structure in fault fracture zone weakens the permeability of strata. This has led to curtain grouting being used to improve the anti-seepage properties of fault zones. This study evaluates the groutability and impermeability of a time-dependent viscosity slurry and a cement-clay slurry in a shattered fault zone. Rheology, setting time, mechanism, and permeability were tested to evaluate the groutability, and Lugeon and grouting field tests were carried out to evaluate the anti-seepage grouting characteristics of a fault zone. The results show that the time-dependent viscosity slurry had higher initial fluidity, a shorter and more controllable setting time, and higher strength than cement-clay slurry, better ensuring the slurry diffusion radius, pores filling rate, and bearing capacity and durability of the consolidated body. The permeability coefficient of the two grouts was less than 1×10−7 cm/s, and the blocking rate of heavy metal ions was more than 98%, sufficient to effectively control the leakage of sewage. The P∼Q curve of the Lugeon test showed that the original strata were of the washout type (&gt;200 Lu), and the rock mass quality grade was the D grade (Poor). Under the same grouting depth, the amount of time-dependent viscosity slurry required was 72.6% of that of cement-clay slurry, and the permeability decreased to 10 Lu, far lower than the 50 Lu of the cement-clay slurry. The time-dependent viscosity slurry improved the quality of the rock mass from D to B-C grade, while the cement-clay slurry test area is remained C-D grade. In general, the time-dependent viscosity slurry performed better than cement-clay slurry in the water-bearing fault zone.
Sarcopenia is associated with mortality in non-critical elderly patients visiting the emergency department
Authors: Liao Mei-Chen , Yen Cheng-Chang , Lin Yuh-Te , Huang Fong-Dee , Chang Yun-Te 
Published: January 2023

IntroductionGeriatric syndrome (GS) increases risk of disability and mortality in older adults. Sarcopenia is a predominant illness of GS and accelerate its progression. This study aimed to investigate associations between mortality, emergency department (ED) re-visits and GS-related illnesses among older adults who visited the ED.MethodThis retrospective observational study enrolled elderly patients who visited the ED in our hospital between January 2018 and October 2020. Patients were evaluated for potential sarcopenia, which was defined by both low handgrip strength and calf circumference. Follow-up was at least 6 months. Data of age, gender, mortality, ED re-visits, and GS-related illnesses were collected and analyzed for associations.ResultsA total of 273 older adults aged 74 years or older were included, of whom 194 were diagnosed with possible sarcopenia. Older adults with possible sarcopenia also had significantly lower body mass index (BMI); a higher proportion needed assistance with daily activities; more had malnutrition, frailty, and history of falls (allp&lt; 0.001) and acute decline in activities of daily living (p= 0.027). Multivariate analysis showed that possible sarcopenia [adjusted hazard ratio, aHR): 9.89, 95% confidence interval (CI): 1.17–83.81,p= 0.036], living in residential institutions (aHR: 2.85, 95% CI: 1.08–7.50,p= 0.034), and frailty (aHR: 7.30, 95% CI: 1.20–44.62,p= 0.031) were associated with mortality. Aged over 85 years (adjusted odds ratio: 2.44, 95% CI: 1.25–4.80,p= 0.02) was associated with ED re-visits.ConclusionSarcopenia is associated with mortality among older adults who visit ED. Initial screening for sarcopenia and relevant risk factors among older adults in the ED may help with early intervention for those at high-risk and may improve their prognosis.
The microbial communities and natural fermentation quality of ensiling oat (Avena sativa L.) harvest from different elevations on the Qinghai-Tibet Plateau
Authors: Bao Yuhong , Yangzong Zhaxi , Yuan Zhenjie , Shi Ruizhi , Feng Ke , Xin Pengcheng , Song Tianzeng 
Published: January 2023

IntroductionEnsiling whole-crop oat (Avena sativa L.) has attracted a growing interest in the Qinghai-Tibet Plateau. The study aimed to investigate the microbial community and chemical composition of fresh and ensiling oat harvested from six different elevations of the Qinghai-Tibet Plateau.MethodThe oat (A. sativa L. cv. Qingyin No. 1) was planted in six different sites across Qinghai-Tibet Plateau (BM, Bomi County; BY, Bayi County; DZ, Dazi County; BR, Biru County; SC, Suo County; SN, Seni County), where the elevations were in the range of 2,800–4,500 m above sea level (a. s. l.). Oat was harvested at the milk stage and ensiled for 90 days.ResultsThe highest crude protein (CP) and lowest water-soluble carbohydrate (WSC) were observed in fresh oat of SN and BM, respectively, however, no distinct gradient trend in WSC and CP concentrations along the elevation gradient. The lowest LAB counts in fresh oat from the highest elevational regions of SN. After 90 days of ensiling, the pH in all oat silages was lower than 4.2, and silages from SC and SN showed a lower pH and butyric acid concentration, and higher lactic acid (LA) concentration than silages of other regions. The oat silage from BR showed the lowest LA concentration and the highest pH. The bimodal distributions of fungal and bacterial richness in fresh oat along the elevation gradient were observed, while the elevation gradients did not affect the fungal Shannon index in fresh oat. Dioszegia, Cladosporium, and Vishniacozyma were the prevalent fungal genus in fresh oat, while Wickerhamomyces, Candida, and Saccharomyces dominated the fungal communities of silages. Wickerhamomyces and Candida were the dominant genera in oat silages from BM and SC, respectively. Erwinia, Paenibacillus, Pseudomonas, Leuconostoc, and Exiguobacterium dominated the bacterial community of fresh oat, while Lactobacillus and Kosakonia were the dominant bacterial genus in oat silages. Pantoea was the most dominant bacterial genus in fresh oat from low-elevational regions (BM, BY, and DZ). Oat from SN exhibited the best fermentation quality although fresh oat of SN hosted the lowest LAB counts, indicating that high-efficient LAB might be present in fresh oat sampled from high altitudes.
Characterization of lipid droplet metabolism patterns identified prognosis and tumor microenvironment infiltration in gastric cancer
Authors: Liu Mengxiao , Fang Xidong , Wang Haoying , Ji Rui , Guo Qinghong , Chen Zhaofeng , Ren Qian , Wang Yuping , Zhou Yongning 
Published: January 2023

BackgroundGastric cancer is one of the common malignant tumors of the digestive system worldwide, posing a serious threat to human health. A growing number of studies have demonstrated the important role that lipid droplets play in promoting cancer progression. However, few studies have systematically evaluated the role of lipid droplet metabolism-related genes (LDMRGs) in patients with gastric cancer.MethodsWe identified two distinct molecular subtypes in the TCGA-STAD cohort based on LDMRGs expression. We then constructed risk prediction scoring models in the TCGA-STAD cohort by lasso regression analysis and validated the model with the GSE15459 and GSE66229 cohorts. Moreover, we constructed a nomogram prediction model by cox regression analysis and evaluated the predictive efficacy of the model by various methods in STAD. Finally, we identified the key gene in LDMRGs, ABCA1, and performed a systematic multi-omics analysis in gastric cancer.ResultsTwo molecular subtypes were identified based on LDMRGs expression with different survival prognosis and immune infiltration levels. lasso regression models were effective in predicting overall survival (OS) of gastric cancer patients at 1, 3 and 5 years and were validated in the GEO database with consistent results. The nomogram prediction model incorporated additional clinical factors and prognostic molecules to improve the prognostic predictive value of the current TNM staging system. ABCA1 was identified as a key gene in LDMRGs and multi-omics analysis showed a strong correlation between ABCA1 and the prognosis and immune status of patients with gastric cancer.ConclusionThis study reveals the characteristics and possible underlying mechanisms of LDMRGs in gastric cancer, contributing to the identification of new prognostic biomarkers and providing a basis for future research.
Disproportionality analysis of quinolone safety in children using data from the FDA adverse event reporting system (FAERS)
Authors: Kong Wenqiang , Mao Wei , Zhang Lin , Wu Yanyan 
Published: January 2023

BackgroundQuinolones are widely prescribed for the treatment or prevention of infectious diseases in children. To gain further insight into quinolone-associated adverse event (AE) in children and better protect pediatric patients, continued surveillance of safety data is essential. The purpose of this study was to characterize the safety profiles of quinolone-associated AEs in children by mining the FDA adverse event reporting system (FAERS).MethodsFAERS reports from quarter 1 of 2004 to quarter 1 of 2022 were included in the study. The Medical Dictionary for Regulatory Activities (MedDRA) was used to identify adverse events. Reporting odds ratios (ROR) corresponding 95% confidence intervals (CIs) and information component (IC) along with 95% CIs were calculated to detect drug–AE pairs with higher-than-expected reporting rates within the FAERS from System Organ Classes (SOCs) to Preferred Terms (PTs). Reports were considered as signals if the 95% conﬁdence interval did not contain the null value.ResultsAfter inclusion criteria were applied, a total of 4,704 reports associated with quinolones were considered. Most FAERS reports associated with ciprofloxacin (N = 2,706) followed by levofloxacin (N = 1,191), moxifloxacin (N = 375), oflaxacin (N = 245) and ozenoxacin (N = 187). The most common age group was 12–18 years. The median weight was 39.0 kilogram. The adverse effects of quinolones emerging for SOCs primarily included Infections and infestations, gastrointestinal symptoms, blood and lymphatic system disorders, cardiac disorders, nervous system disorders, musculoskeletal and connective tissue disorders and psychiatric disorders. The most frequently AE signals at the PT level were pyrexia (N = 236), febrile neutropenia (N = 120), off label use (N = 48), drug resistance (N = 18) and cardiac arrest (N = 22) following the use of ciprofloxacin, levofloxacin, moxifloxacin, ofloxacin, and ozenoxacin, respectively. Serious oznoxacin-associated AE signals were found and have not been documented in the package insert. They included cardiac arrest (N = 22; ROR = 19.83; IC = 3.68), overdose (N = 21; ROR = 4.98; IC = 2.07), seizure (N = 16; ROR = 6.01; IC = 2.29), small for dates baby (N = 9; ROR = 14.7; IC = 3.05), completed suicide (N = 15, ROR = 18.87; IC = 3.51), asthma (N = 9; ROR = 6.69; IC = 2.24;) and hypotension (N = 9; ROR = 3.83; IC = 1.68).ConclusionThis study provided additional evidence with respect to quinolones-related AEs for children. Generally, the findings of this study are compatible with AEs recorded in package inserts. The unexpected signals of ozenoxacin justify active vigilance by clinicians and timely monitoring by pharmacovigilance experts.