bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alimentos para o mercado institucional da alimentação escolar: um estudo a partir das chamadas públicas
Authors: Barros Laura dos Santos , Dias Ivanira Amaral 
Published: September 2022

Tem como objetivo realizar, um levantamento do perfil dos alimentos oriundos da agricultura familiar, a partir das chamadas públicas, para o Programa Nacional de Alimentação Escolar. Métodos: Foi aplicada uma análise transversal quantitativa descritiva dos dados secundários (chamadas públicas), disponíveis nos sites do Tribunal de Contas dos Municípios e sites de prefeituras municipais (portal da transparência). A pesquisa ocorreu de forma on line no período de agosto de 2019 e janeiro de 2020, sendo realizado o download de 34 editais de chamadas públicas de 24 municípios, pertencentes a região intermediária de Belém, referentes aos anos de 2017, 2018 e 2019. Resultados: Observou-se que o alimento mais solicitado foi a couve. No grupo das frutas e polpas os itens mais frequentes foram a goiaba, acerola, cupuaçu, maracujá e açaí. No grupo das hortaliças e verduras, destaca-se, a couve, abóbora, cheiro verde e cariru. Quanto a presença de alimentos classificados quanto ao nível de processamento, os in natura e minimamente processados foram a maioria. Observou-se também a presença de alimentos da sociobiodiverdade. Conclusão: em suma os alimentos mais solicitados caracterizam-se como de origem vegetal, e níveis de processamento: in natura e minimamente processados, promovendo segurança alimentar e nutricional aos escolares e incentivo a promoção da agricultura familiar.
Manifestações orais e maxilofaciais da Doença Celíaca
Authors: Afonso Áquila de Oliveira , Carneiro Kaio Henrique da Silva , Santos Francine Militão dos , Rocha Paulo Victor Gomes da , Araújo Felipe Rafael da Cunha , Silva Lucas Pinheiro da , Rico Camila Melo , Silva Gabriela Santos , Melazzo Giulliana Gonçalves Fonseca , Gonçalves Júnior Heuber de Sales 
Published: September 2022

A doença celíaca (DC) é uma doença autoimune que afeta tanto o epitélio quanto a lâmina própria do intestino delgado em indivíduos geneticamente suscetíveis e intoleráveis ​​ao glúten. A sensibilidade ao glúten causa atrofia das vilosidades, que se resolve com uma dieta sem glúten. Quando não diagnosticada precocemente, a DC pode acarretar impacto significativo na qualidade de vida, principalmente relacionado aos sintomas clínicos como síndrome do intestino irritável e transtornos psiquiátricos. Nesse sentindo, este artigo visa revisar a literatura acerca das manifestações orais e maxilofaciais decorrentes da Doença Celíaca. Para a construção deste artigo foi feito um levantamento bibliográfico nas bases de dados SciVerse Scopus, Scientific Eletronic Library Online (Scielo), U.S. National Library of Medicine (PUBMED) e ScienceDirect, usando o gerenciador de referências Mendeley. Os artigos foram coletados no período de fevereiro a julho de 2022 e contemplados entre os anos de 2015 a 2022.As principais manifestações orais e complicações relacionadas ao quadro de doença celíaca incluem hipoplasia do esmalte, ulcerações aftosas recorrentes, cárie dentária, glossite atrófica e líquen plano. As manifestações orais da Doença de Celíaca podem prejudicar a qualidade de vida do paciente que apresentam queixas de desconforto proveniente dessas lesões. Portanto, torna-se imprescindível que os profissionais da saúde estejam familiarizados com essas desordens, uma vez que as lesões orais podem servir como indicadoras fundamentais no diagnóstico precoce da doença.
Could Hemogram Parameters Predict Extensive Pulmonary Involvement in SARS CoV-2 Infection?
Authors: COŞGUN Zeliha , KALFAOĞLU Melike Elif , DAĞISTAN Emine , ÖZSARI Emine , AKTAS Gulali 
Published: September 2022

Aim: Since the start of the pandemic, the novel coronavirus infection SARS CoV-2 has caused huge morbidity and mortality, as well as a significant economic cost. We aimed to compare clinical and laboratory findings of the SARS CoV-2 patients with mild pulmonary involvement to those in subjects with advanced pulmonary involvement.
Material and Methods: In this study, the relationship between hemogram indices and pulmonary involvement in patients hospitalized for SARS CoV-2 infection at Bolu Abant Izzet Baysal University Hospital was investigated. We analyzed the thorax CT images of the subjects with SARS CoV-2 in present retrospective study. Radiological pattern of disease-related in the lungs, percentage of lung involvement, hemogram parameters, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), aspartate and alanine transaminases (AST and ALT), lactate dehydrogenase (LDH), D-dimer, ferritin, total bilirubin, albumin, creatinine kinase, serum creatinine in patients with advanced and mild pulmonary involvement were compared.
Results: Advanced pulmonary involvement (greater than 50%) was positively and significantly correlated with ESR, (r=0.32, p
COVID-19’da Ağız Sağlığı Durumu
Authors: UZAN Gulfidan , TEKDEMİR Zeynep , KAR Bedriye , SÖNMEZ Mehmet 
Published: September 2022

Amaç: Çin'in Wuhan kentinde 2019 yılının sonlarında koronavirüs hastalığı salgını (COVID-19) ortaya çıkmış ve yalnızca Çin'de değil, tüm dünyadaki ülkelerde de büyük bir halk sağlığı sorunu haline gelmiştir. Ağır akut solunum hastalığı (Severe Acute Respiratory Syndrome causing Coronavirus) (SARS-CoV-2)’nin ağız ve burun yoluyla bulaştığı ve en çok solunum sistemini etkilediği düşünülmektedir. Ağız sağlığı durumunun enfeksiyon oluşumunu ne şekilde etkilediği ise bilinmemektedir. Bu amaçla bu çalışmada COVID-19 olan ve olmayan kişilerde ağız sağlığı durumunun incelenmesi amaçlandı.
Gereç ve Yöntemler: Çalışmaya COVID-19 tanısı almış 101 hasta ile, COVID-19 tanısı almamış 72 gönüllü dahil edildi. Akciğer görüntülemeleri yapıldıktan sonra tüm hastalara ağız sağlığını değerlendirmek için hazırlanan anket soruları sorulup skorlandı. COVID-19 olan ve olmayan gruplar toplam ağız sağlığı skorları ve parametreleri ile radyolojik tutulum açısından karşılaştırıldı.
Bulgular: Hasta ve kontrol gruplarının yaş ortalamaları benzer idi. COVID-19 olan hastaların toplam ağız sağlığı skor değerleri, kontrol grubuna göre olumlu yönde daha yüksekti (p=0,011). COVID-19 grubunda diş fırçalama (p=0,045) ve diş hekimine gitme (p=0,015) oranı istatistiksel olarak anlamlı derecede yüksek iken, diş kaybı (p=0,008) ve ağız kokusu varlığı (p
Drug-Drug Interaction of Aldehyde Oxidase Inhibitor and Xanthine Oxidase Inhibitor with Favipiravir
Authors: AŞKIN ÖZEK Dilan , KESKİN Zeliha , YÜCE Hande , BAŞAK TÜRKMEN Neşe , ASLAN Sümeyye , ÜNÜVAR Songül 
Published: September 2022

Aim: Favipiravir is an effective antiviral used in the treatment of COVID-19. It is metabolized by aldehyde oxidase (AO) and xanthine oxidase (XO). This study investigated drug-drug interactions between favipiravir with both AO substrate and XO enzyme inhibitor, allopurinol, and an XO inhibitor, verapamil.
Material and Methods: 25 Sprague-Dawley female rats, 250-300 g, were divided into five equal groups. Blood samples were taken from the jugular vein at the end of 0, 15, 30, and 45 minutes, and at the end of the 1st, 2nd, 4th, 6th, and 8th hours after the drugs were administered. The drug-blood concentration was determined in the HPLC-UV device using plasma. The ELISA method measured AO and XO enzyme activities in rat liver tissue.
Results: Allopurinol prolonged the time taken for favipiravir to reach Cmax (Tmax), decreased maximum serum concentration (Cmax), elimination half-life (T1/2), area under the curve (AUC), and mean residence time (MRT). Allopurinol significantly reduced clearance per unit time (Cl/f) when co-administered with favipiravir. Verapamil accelerated the elimination of favipiravir, significantly reducing T1/2, MRT, and AUC. On the other hand, Favipiravir decreased the absorption of verapamil and slowed its elimination. Cmax, AUC, and Cl values of verapamil decreased. In addition, T1/2, MRT, and volume of distribution (Vd) increased.
Conclusion: In conclusion, the concomitant use of favipiravir with other drugs that affect AO and/or XO enzyme activities may cause changes in the pharmacokinetic profiles of drugs and the levels of enzymes that metabolize drugs.
Investigation of the Effect of Leaky Gut on COVID-19 Clinic
Authors: ÖZTÜRK Cihadiye , KESKİN Banu Hümeyra , INCE Nevin , KAYABAŞI Eda , KAYA Sare , CANGÜR Şengül , YILDIZ GÜLHAN Pınar , DEMİR Mehmet Cihat 
Published: September 2022

Aim: In the course of the COVID-19 pandemic, in millions of cases were observed those of some patients do not exhibit any symptoms whereas some others are hospitalized with having fatal outcomes. One of the most significant findings is that patients with existing comorbidities are extremely exposed to severe clinical conditions developed due to excessive inflammatory response. That is to say, the indicative cause of chronic inflammation may be bacterial translocation derived from the impaired intestinal mucosal barriers.
This study is aimed to investigate the probable relations between the impaired intestinal barrier integrity and which would be associated with severity of COVID-19 clinical conditions.
Material and Methods: According to the clinical and laboratory findings, the patients were classified into three groups as mild, moderate, and severe clinical conditions. All patients’ blood samples were collected on the first admission to the hospital. Serum concentrations of lipopolysaccharide-binding protein (LBP), were analyzed to evaluate the intestinal barrier function and bacterial translocation.
Results: The proportions of those with high LBP levels among all the groups were significantly different (p
Asymmetries and relationships between muscle strength, proprioception, biomechanics, and postural stability in patients with unilateral knee osteoarthritis
Authors: Zeng Ziquan , Shan Jiaxin , Zhang Yilong , Wang Yi , Li Congcong , Li Junyi , Chen Weijian , Ye Zixuan , Ye Xiangling , Chen Zehua , Wu Zugui , Zhao Chuanxi , Xu Xuemeng 
Published: September 2022

Background: The pathological mechanism of knee osteoarthritis (KOA) is unknown. KOA degeneration may be associated with changes in muscle strength, proprioception, biomechanics, and postural stability.Objective: This study aimed to assess asymmetries in muscle strength, proprioception, biomechanics, and postural stability of bilateral lower limbs in patients with unilateral KOA and healthy controls and analyze correlations between KOA and these parameters.Methods: A total of 50 patients with unilateral KOA (age range: 50-70) and 50 healthy subjects were recruited as study participants (age range: 50-70). Muscle strength, proprioception, femorotibial angle (FTA), femoral condylar–tibial plateau angle (FCTP), average trajectory error (ATE), and center of pressure (COP) sways areas were accessed in study participants, and the correlation between these variables was investigated.Results: In patients with unilateral KOA, lower limb muscle strength was significantly lower on the symptomatic side than on the asymptomatic side (p &lt; 0.01), while the proprioception (degree error), FTA, FCTP, and ATE were substantially higher compared to the asymptomatic side (p &lt; 0.01). However, no significant difference was observed in the healthy controls (p &gt; 0.05). Patients with unilateral KOA had lower muscle strength than healthy controls (p &lt; 0.05), but their proprioception (degree error: the difference between the target and reproduction angles), ATE, and COP sway areas were higher (p &lt; 0.05). Muscle strength was found to be negatively correlated with ATE and COP sways areas (p &lt; 0.05), whereas proprioception (degree error) was positively correlated with ATE and COP sways areas (p &lt; 0.05) in all study participants. However, no correlation was found between FTA, FCTP, and ATE, COP sways areas in patients with unilateral KOA (p &gt; 0.05).Conclusion: In patients with unilateral KOA, muscle strength, proprioception, biomechanics, and postural stability of bilateral limbs are asymmetrical in unilateral KOA patients. Muscle strength, proprioception, and postural stability are significantly associated variables, and changes in these variables should be considered in KOA prevention and rehabilitation.
Identifying the relationship between VOCs emission and temperature/humidity changes in new apartments in the hot desert climate
Authors: Jung Chuloh , Mahmoud Naglaa Sami Abdelaziz , Alqassimi Nahla 
Published: September 2022

Much previous research in different countries describes a strong dependence on temperature and humidity for indoor air pollutants generated from building materials. Since many types of building materials are complexly applied in residential buildings in UAE and are constantly using air-conditioning, the result might be different from the characteristics of indoor air pollutants from a small chamber experiment. This paper aims to investigate the relationship between the concentration of indoor air pollutants according to changes in temperature and humidity in newly built apartments before moving in. As a methodology, a field measurement was performed in 23 housing units in five different residential towers in Ajman, United Arab Emirates. Before the measurement, a 7-day bake-out was completed, and the target units were measured 30 days before moving in. The result showed that formaldehyde (HCHO) and VOCs such as benzene (C6H6), toluene (C7H8), ethylbenzene (C8H10), xylene (C8H10), and styrene (C8H8) have consistent humidity dependence within the range of 15 %–60% of relative humidity (RH). It was impossible to confirm the temperature dependency since it showed different characteristics for each apartment between 22°C and 33°C. There is a limit to predicting the occurrence of indoor air pollutants in the apartment only with microclimatic factors since there are many other variables, such as various building materials, management history of materials, and construction methods. However, it was proven that there is an emission cut-off point where the generation of indoor air pollutants deviates from a linear relationship in the RH 40%–50% and 25°C. These temperature and humidity ranges are synchronized with daily life ranges.
The diagnostic accuracy of contrast echocardiography in patients with suspected cardiac masses: A preliminary multicenter, cross-sectional study
Authors: Li Ying , Ren Weidong , Wang Xin , Xiao Yangjie , Feng Yueqin , Shi Pengli , Sun Lijuan , Wang Xiao , Yang Huan , Song Guang 
Published: September 2022

BackgroundTo evaluate the diagnostic accuracy of contrast echocardiography (CE) in patients with suspected cardiac masses.MethodsA multicenter, prospective study involving 108 consecutive patients with suspected cardiac masses based on transthoracic echocardiography performed between November 2019 and December 2020 was carried out. CE examinations were performed in all patients. The echocardiographic diagnosis was established according to the qualitative (echogenicity, boundary, morphology of the base, mass perfusion, pericardial effusion, and motility) and quantitative (area of the masses and peak intensity ratio of the masses and adjacent myocardium A1/A2) evaluations.ResultsFinal confirmed diagnoses were as follows: no cardiac mass (n = 3), pseudomass (n = 3), thrombus (n = 36), benign tumor (n = 30), and malignant tumor (n = 36). ROC analysis revealed the optimal A1/A2 with cutoff value of 0.295 for a cardiac tumor from a thrombus, with AUC, sensitivity, specificity, PPV, and NPV of 0.958 (95% confidence interval (CI): 0.899–0.988), 100, 91.7, 95.7, and 100%, respectively. CE was able to distinguish malignant from benign tumors with an AUC of 0.953 (95% CI: 0.870–0.990). Multivariate logistic regression analysis revealed that tumor area, base, and A1/A2 were associated with the risk of malignant tumor (OR = 1.003, 95% CI: 1.00003–1.005; OR = 22.64, 95% CI: 1.30–395.21; OR = 165.39, 95% CI: 4.68–5,850.94, respectively). When using A1/A2 &gt; 1.28 as the only diagnostic criterion to identify the malignant tumor, AUC, sensitivity, specificity, PPV, and NPV were 0.886 (95% CI: 0.784–0.951), 80.6, 96.7, 96.7, and 80.7%, respectively.ConclusionCE has the potential to accurately differentiate cardiac masses by combining qualitative and quantitative analyses. However, more studies with a large sample size should be conducted to further confirm these findings.Clinical trial registrationhttp://www.chictr.org.cn/, identifier: ChiCTR1900026809.
Machine learning-based prediction of the post-thrombotic syndrome: Model development and validation study
Authors: Yu Tao , Shen Runnan , You Guochang , Lv Lin , Kang Shimao , Wang Xiaoyan , Xu Jiatang , Zhu Dongxi , Xia Zuqi , Zheng Junmeng , Huang Kai 
Published: September 2022

BackgroundPrevention is highly involved in reducing the incidence of post-thrombotic syndrome (PTS). We aimed to develop accurate models with machine learning (ML) algorithms to predict whether PTS would occur within 24 months.Materials and methodsThe clinical data used for model building were obtained from the Acute Venous Thrombosis: Thrombus Removal with Adjunctive Catheter-Directed Thrombolysis study and the external validation cohort was acquired from the Sun Yat-sen Memorial Hospital in China. The main outcome was defined as the occurrence of PTS events (Villalta score ≥5). Twenty-three clinical variables were included, and four ML algorithms were applied to build the models. For discrimination and calibration, F scores were used to evaluate the prediction ability of the models. The external validation cohort was divided into ten groups based on the risk estimate deciles to identify the hazard threshold.ResultsIn total, 555 patients with deep vein thrombosis (DVT) were included to build models using ML algorithms, and the models were further validated in a Chinese cohort comprising 117 patients. When predicting PTS within 2 years after acute DVT, logistic regression based on gradient descent and L1 regularization got the highest area under the curve (AUC) of 0.83 (95% CI:0.76–0.89) in external validation. When considering model performance in both the derivation and external validation cohorts, the eXtreme gradient boosting and gradient boosting decision tree models had similar results and presented better stability and generalization. The external validation cohort was divided into low, intermediate, and high-risk groups with the prediction probability of 0.3 and 0.4 as critical points.ConclusionMachine learning models built for PTS had accurate prediction ability and stable generalization, which can further facilitate clinical decision-making, with potentially important implications for selecting patients who will benefit from endovascular surgery.
Varying processes, similar results: How composition influences fragmentation and subsequent feeding of large pyroclastic density currents
Authors: Bernard Olivier , Bouvet de Maisonneuve Caroline , Arbaret Laurent , Nagashima Kazuhide , Oalmann Jeffrey , Prabowo Arief , Ratdomopurbo Antonius 
Published: September 2022

Unlike their silicic counterparts, mafic eruptions are known for being on the low-end of the explosivity spectrum with eruption styles commonly ranging from effusive to Hawaiian fire fountaining. However, there are increasing discoveries of large mafic Plinian eruptions, sometimes generating ignimbrites, suggesting that this phenomenon might not be so uncommon. So, what processes lead a mafic magma to fragment violently enough to generate extensive ignimbrites?We sampled pumices from ignimbrites and PDCs with a compositional range from basaltic-andesite (Curacautín ignimbrite, Volcàn Llaima, Chile), andesite (Marapi, Indonesia) to trachyte (Gunungkawi ignimbrite, Batur, Indonesia). We use SEM imagery and X-ray Microtomography on pyroclasts from these deposits to characterize phenocryst, microlite and vesicle textures. From vesicle number densities we estimate fragmentation decompression rates in the range of 0.4–1.6 MPa/s for the three deposits. With a combination of EPMA and SIMS analyses we characterise pre-eruptive storage conditions. Based on the bulk and groundmass compositions, the storage temperature (1,050–1,100°C), pressure (50–100 MPa) and phenocryst content (1.0–2.5 vol%), we conclude that the basaltic-andesitic Curacautín magma was at sub-liquidus conditions, which allowed fast and widespread disequilibrium matrix crystallization (0–80 vol%) during ascent to the surface. Combined with the important decompression rate, this intense crystallization led to a magma bulk viscosity jump from 103 up to &gt;107 Pa s and allowed it to fragment brittlely. Conversely, for the Marapi PDC and Gunungkawi ignimbrite, similar decompression rates coupled with larger initial bulk viscosities of 105–106 Pa s were sufficient to fragment the magma brittlely. The fragmentation processes for these latter two deposits were slightly different however, with the Marapi PDC fragmentation being mostly driven by vesicle overpressure, while a combination of bubble overpressure and intense strain-rate were the cause of fragmentation for the Gunungkawi ignimbrite. We conclude that mafic ignimbrites can form due to a combination of peculiar storage conditions that lead to strongly non-linear feedback processes in the conduit, particularly intense microlite crystallization on very short timescales coupled with intense decompression rates. Conversely, the high viscosity determined by pre-eruptive storage conditions, including temperature and volatile-content, are key in controlling the formation of more evolved magmas PDCs'.
An automatic modeling approach for the potential evaluation of CO2 geological storage in the deep saline aquifer
Authors: Jing Tieya , Fu Jie , Zhou Juan , Ma Xin , Diao Yujie , Liu Ting , Fu Lei , Guo Jinxing 
Published: September 2022

Geological storage of carbon dioxide is receiving more and more attention as one of the efficient carbon reduction technologies, as China’s carbon-neutral strategic plan moves forward. There is an increasing demand for more effective and thorough methodologies to assess the potential of CO2 storage in deep saline aquifers. This study proposes a method for evaluating the geological storage potential of CO2 in deep saline aquifers and constructs an automatic evaluation system for the comprehensive potential of CO2 geological storage using ArcGIS Model Builder visual modeling technology. The automatic evaluation system consists of four functional parts: information collating and database constructing, data pre-processing, model building evaluation and result validation evaluation. First, structured and unstructured data including underlying geology, tectonic geology, oil and gas geology, and drilling data are collated and established in a geodatabase. Second, pre-processing models of the deep saline reservoir-caprock data are established based on the analysis of the geological evolution history of the study area to determine the effective storage thickness, effective porosity, and the influence range of faults; kriging methods are then used to realize the spatial interpolation of the evaluation parameters. Third, the volume coefficient method is adopted to construct the underground storage space model and to establish the density distribution model of the supercritical CO2 with nonlinear function while taking into account four evaluation factors (i.e. area, effective porosity, effective thickness, effective coefficient) and two limiting factors (i.e. fault, burial depth). Finally, the geological storage potential of CO2 in the study area is evaluated with the classification of the potential level and compared with the numerical simulation results to verify the model’s accuracy. The model is first applied in this paper using a suitable target in China as a case study. The results show that this target area’s anticipated storage potential value reaches 52.557 Mt. The total precision error, according to a comparison of the numerical simulation results, is 8.20%. Based on the results obtained, it can be concluded that the automatic GIS-based modeling approach is suitable for a comparable study of potential evaluation of CO2 geological storage in deep saline aquifers.