cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9697127.v1
title: Effect of iodonium salt and chitosan on the physical and antibacterial properties of experimental infiltrants

description: Abstract Resinous infiltrants are indicated in the treatment of incipient carious lesions, and further development of these materials may contribute to greater control of these lesions. The aim of this study was to analyze the physical and antibacterial properties of experimental infiltrants containing iodonium salt and chitosan. Nine experimental infiltrants were formulated by varying the concentration of the diphenyliodonium salt (DPI) at 0, 0.5 and 1 mol%; and chitosan at 0, 0.12 and 0.25 g%. The infiltrants contained the monomeric base of triethylene glycol dimethacrylate and bisphenol-A dimethacrylate ethoxylate in a 75 and 25% proportion by weight, respectively; 0.5 mol% camphorquinone and 1 mol% ethyl 4-dimethylaminobenzoate. The degree of conversion was evaluated using Fourier transformer infrared spectroscopy, and the flexural strength and elastic modulus using the three-point bending test. Sorption and solubility in water, and antibacterial analysis (minimum inhibitory concentration and minimum bactericidal concentration) were also analyzed. Data was analyzed statistically by two-way ANOVA and Tukey’s test (p&lt;0.05), with the exception of the antibacterial test, which was evaluated by visual inspection. In general, the infiltrant group containing 0.5% DPI and 0.12% chitosan showed high values of degree of conversion, higher values of elastic modulus and flexural strength, and lower sorption values in relation to the other groups. Antibacterial activity was observed in all the groups with DPI, regardless of the concentration of chitosan. The addition of DPI and chitosan to experimental infiltrants represents a valid option for producing infiltrants with desirable physical and antibacterial characteristics.
DOI: 10.6084/m9.figshare.9697112
title: Isolation and characterization of a human cementocyte-like cell line, HCY-23

description: Abstract Cementum is the mineralized tissue covering the tooth root that functions in tooth attachment and post-eruptive adjustment of tooth position. It has been reported to be highly similar to bone in several respects but remains poorly understood in terms of development and regeneration. Here, we investigate whether cementocytes, the residing cells in cellular cementum, have the potential to be protagonist in cementum homeostasis, responding to endocrine signals and directing local cementum metabolism. Cells from healthy erupted human teeth were isolated using sequential collagenase/EDTA digestions, and maintained in standard cell culture conditions. A cementocyte-like cell line was cloned (HCY-23, for human cementocyte clone 23), which presented a cementocyte compatible gene expression signature, including the expression of dentin matrix protein 1 ( DMP1 ), sclerostin ( SOST ), and E11/gp38/podoplanin ( E11 ). In contrast, these cells did not express the odontoblast/dentin marker dentin sialoprotein ( DSPP ). HCY-23 cells produced mineral-like nodules in vitro under differentiation conditions, and were highly responsive to inorganic phosphate (Pi). Within the limits of the present study, it can be concluded that cementocytes are phosphate-responsive cells, and have the potential do play a key role in periodontal homeostasis and regeneration.
DOI: 10.6084/m9.figshare.9697115
title: AlradSpectra: a Quantification Tool for Soil Properties Using Spectroscopic Data in R

description: ABSTRACT Soil reflectance spectroscopy has become an innovative method for soil property quantification supplying data for studies in soil fertility, soil classification, digital soil mapping, while reducing laboratory time and applying a clean technology. This paper describes the implementation of a Graphical User Interface (GUI) using R named AlradSpectra. It contains several tools to process spectroscopic data and generate models to predict soil properties. The GUI was developed to accomplish tasks such as perform a large range of spectral preprocessing techniques, implement several multivariate calibration methods, generate statistics assessment and graphical output, validate the models using independent dataset, and predict unknown variables using soil spectral data. AlradSpectra has four main modules: Import Data, Spectral Preprocessing, Modeling, and Prediction. The implementation of AlradSpectra is demonstrated by applying visible near-infrared reflectance spectroscopy for soil organic carbon (SOC) prediction. The data contains the value of SOC and Vis-NIR reflectance for 595 soil samples. The prediction statistic assessment of SOC was performed applying all spectral preprocessing and methods. The R 2 considering all models ranged from 0.54 to 0.80. In the partial least squares regression (PLSR) models, the performances were similar to multiple linear regression (MLR) and support vector machines (SVM). The lowest error in the SOC prediction was achieved by PLSR method with standard normal variate (SNV) preprocessing reaching an R 2 of 0.80, the smallest root mean square error (RMSE) of 0.47 %, and ratio of performance to inter-quartile distance (RPIQ) of 3.12. The capacity of performing multiple tasks, being free and open-source, easy to operate, and requiring no initial knowledge of R programming language are features that make AlradSpectra a useful tool to perform different modeling approaches and predict the desired soil variable.
DOI: 10.6084/m9.figshare.9697118
title: Shape change analysis of tensegrity models

description: Abstract This paper presents a computational strategy for shape change of tensegrity models to achieve the prescribed target coordinates of a set of monitored nodes via forced elongation of cables. Mathematical formulation for incremental equilibrium equations of a tensegrity model during the shape change analysis is derived and presented. An optimization approach in determining forced elongation of cables using sequential quadratic programming with defined inequality constraints is formulated and presented. Four tensegrity models namely the simplex, quadruplex, two-stage tensegrity model and tapered three-stage tensegrity model are tested using the proposed shape change algorithm. Capability of tensegrity models to undergo bending, axial, twisting deformation and combinations of these deformations is also described.
DOI: 10.6084/m9.figshare.9697109
title: Improved Bayes estimators and prediction for the Wilson-Hilferty distribution

description: Abstract: In this paper, we revisit the Wilson-Hilferty distribution and presented its mathematical properties such as the r-th moments and reliability properties. The parameters estimators are discussed using objective reference Bayesian analysis for both complete and censored data where the resulting marginal posterior intervals have accurate frequentist coverage. A simulation study is presented to compare the performance of the proposed estimators with the frequentist approach where it is observed a clear advantage for the Bayesian method. Finally, the proposed methodology is illustrated on three real datasets.
DOI: 10.6084/m9.figshare.9697121.v1
title: Wide-field angiography for diagnosis and follow-up of Eales disease: a case series

description: ABSTRACT Wide-field angiography enables assessing peripheral areas with better quality and gives greater deep focus, which improves the image periphery. Some studies have proposed the usefulness of these angiographic systems in inflammatory diseases of the retina. However, few studies have evaluated this technique in Eales disease. We present a case series in which 5 eyes of 3 patients with Eales disease were evaluated by using retinal fluorescein angiography with 30º, 50º, and 150º lenses in a laser-scanning ophthalmoscope. These cases highlight the usefulness of wide-field fluorescein angiography in the diagnosis and follow-up of peripheral ischemic retinal areas in Eales disease, which enables better follow-up than possible with conventional fluorescein angiography images.
DOI: 10.6084/m9.figshare.9697115.v1
title: AlradSpectra: a Quantification Tool for Soil Properties Using Spectroscopic Data in R

description: ABSTRACT Soil reflectance spectroscopy has become an innovative method for soil property quantification supplying data for studies in soil fertility, soil classification, digital soil mapping, while reducing laboratory time and applying a clean technology. This paper describes the implementation of a Graphical User Interface (GUI) using R named AlradSpectra. It contains several tools to process spectroscopic data and generate models to predict soil properties. The GUI was developed to accomplish tasks such as perform a large range of spectral preprocessing techniques, implement several multivariate calibration methods, generate statistics assessment and graphical output, validate the models using independent dataset, and predict unknown variables using soil spectral data. AlradSpectra has four main modules: Import Data, Spectral Preprocessing, Modeling, and Prediction. The implementation of AlradSpectra is demonstrated by applying visible near-infrared reflectance spectroscopy for soil organic carbon (SOC) prediction. The data contains the value of SOC and Vis-NIR reflectance for 595 soil samples. The prediction statistic assessment of SOC was performed applying all spectral preprocessing and methods. The R 2 considering all models ranged from 0.54 to 0.80. In the partial least squares regression (PLSR) models, the performances were similar to multiple linear regression (MLR) and support vector machines (SVM). The lowest error in the SOC prediction was achieved by PLSR method with standard normal variate (SNV) preprocessing reaching an R 2 of 0.80, the smallest root mean square error (RMSE) of 0.47 %, and ratio of performance to inter-quartile distance (RPIQ) of 3.12. The capacity of performing multiple tasks, being free and open-source, easy to operate, and requiring no initial knowledge of R programming language are features that make AlradSpectra a useful tool to perform different modeling approaches and predict the desired soil variable.
DOI: 10.6084/m9.figshare.9697106
title: Demarcated opacity in primary teeth increases the prevalence of molar incisor hypomineralization

description: Abstract This cross-sectional study aimed to assess the prevalence of molar incisor hypomineralization (MIH) and its relationship with the number of primary teeth with developmental defects of enamel (DDE). A representative population-based sample of 731 schoolchildren was randomly selected from the public school system in Curitiba, Brazil. Schoolchildren aged 8 years with fully erupted permanent first molars and incisors were eligible for the study. MIH and DDE were classified by four calibrated examiners (kappa &gt; 0.75) according to EAPD criteria and to the FDI-modified DDE index. Clinical data were collected in a school environment. Socioeconomic information was collected through a self-administered semistructured questionnaire applied to the children’s caregivers. Statistical analyses were carried out using Poisson multiple regression with robust variance (α = 0.05). MIH prevalence was 12.1% (95%CI: 10–15), and opacities were the most prevalent defect. Socioeconomic factors were not associated with MIH. Children with demarcated opacity in primary teeth presented a higher prevalence of MIH than those without DDE in primary teeth. In the multiple analysis, the increase of one primary tooth affected by demarcated opacity increased the prevalence of MIH by 33% (PR = 1.33, 95%CI: 1.15–1.53, p &lt; 0.001). Asian children had a higher prevalence of MIH (PR = 2.91, 95%CI: 1.08–8.09 p = 0.035) than did Caucasian children.Conclusion: Based on these findings, the prevalence of MIH in Curitiba was 12.1%. Demarcated opacity in primary teeth could be considered a predictor of MIH.
DOI: 10.6084/m9.figshare.9697112.v1
title: Isolation and characterization of a human cementocyte-like cell line, HCY-23

description: Abstract Cementum is the mineralized tissue covering the tooth root that functions in tooth attachment and post-eruptive adjustment of tooth position. It has been reported to be highly similar to bone in several respects but remains poorly understood in terms of development and regeneration. Here, we investigate whether cementocytes, the residing cells in cellular cementum, have the potential to be protagonist in cementum homeostasis, responding to endocrine signals and directing local cementum metabolism. Cells from healthy erupted human teeth were isolated using sequential collagenase/EDTA digestions, and maintained in standard cell culture conditions. A cementocyte-like cell line was cloned (HCY-23, for human cementocyte clone 23), which presented a cementocyte compatible gene expression signature, including the expression of dentin matrix protein 1 ( DMP1 ), sclerostin ( SOST ), and E11/gp38/podoplanin ( E11 ). In contrast, these cells did not express the odontoblast/dentin marker dentin sialoprotein ( DSPP ). HCY-23 cells produced mineral-like nodules in vitro under differentiation conditions, and were highly responsive to inorganic phosphate (Pi). Within the limits of the present study, it can be concluded that cementocytes are phosphate-responsive cells, and have the potential do play a key role in periodontal homeostasis and regeneration.
DOI: 10.6084/m9.figshare.9697109.v1
title: Improved Bayes estimators and prediction for the Wilson-Hilferty distribution

description: Abstract: In this paper, we revisit the Wilson-Hilferty distribution and presented its mathematical properties such as the r-th moments and reliability properties. The parameters estimators are discussed using objective reference Bayesian analysis for both complete and censored data where the resulting marginal posterior intervals have accurate frequentist coverage. A simulation study is presented to compare the performance of the proposed estimators with the frequentist approach where it is observed a clear advantage for the Bayesian method. Finally, the proposed methodology is illustrated on three real datasets.
DOI: 10.6084/m9.figshare.9697118.v1
title: Shape change analysis of tensegrity models

description: Abstract This paper presents a computational strategy for shape change of tensegrity models to achieve the prescribed target coordinates of a set of monitored nodes via forced elongation of cables. Mathematical formulation for incremental equilibrium equations of a tensegrity model during the shape change analysis is derived and presented. An optimization approach in determining forced elongation of cables using sequential quadratic programming with defined inequality constraints is formulated and presented. Four tensegrity models namely the simplex, quadruplex, two-stage tensegrity model and tapered three-stage tensegrity model are tested using the proposed shape change algorithm. Capability of tensegrity models to undergo bending, axial, twisting deformation and combinations of these deformations is also described.
DOI: 10.6084/m9.figshare.9697100
title: A national study on the use of opioid analgesics in dentistry

description: Abstract The aim of this study was to assess the frequency of opioid analgesics prescribed by Brazilian dentists, potential regional differences and their association with socioeconomic and health-related factors. Data for all opioid prescriptions by dentists was obtained from the 2012 database of the National Controlled Substances Management System, regulated by the Brazilian Health Surveillance Agency. The number of defined daily doses (DDD) and DDDs per 1,000 inhabitants per day for each Brazilian state were calculated as the primary outcomes. DDDs were compared by regions and Brazilian states. Spearman’s rho correlation coefficient was used to determine the influence of the states’ characteristics, such as the Human Development Index; poverty; education; number of dentists per 100,000 inhabitants; visit to the dentist; dental care plan; good or very good oral health; number of pharmaceutical establishments per 100,000/inhabitants; and ability to get all prescribed medications. Data analysis was performed using IBM SPSS Statistics 25.0. A total of 141,161 prescriptions for opioids analgesics by 36,929 dentists were recorded, corresponding to 658,855 doses of opioids dispensed in 2012. The most commonly dispensed opioids were codeine associated with paracetamol (83.2%; n = 117,493). The national DDDs per 1,000 inhabitants per day was 0.0093 (range: 0.0002-0.0216). DDD per 1,000 inhabitants per day was positively associated to visits to dentists (rs = 0.630; P &lt; 0.001) and inversely associated to poverty (rs = -0.624; p = 0.001). There are significant differences in opioid prescriptions in dentistry among the Brazilian states. These differences may be associated with non-clinical factors.
DOI: 10.6084/m9.figshare.9697094
title: Beam-Column Joints Reinforcement Detailing Adequacy in Case of a Corner Column Loss-Numerical Analysis

description: Abstract This study investigates the behavior of reinforced concrete (RC) beam-column joints at the corner panel after a ground corner column loss scenario. The ductility of a frame is dependent on the ductility of its components, particularly its joints. Deficiency in joints performance can be related to an unexpected event. For example, the removal of a ground corner column turns the joint above into an inverted knee joint, and also inverses the direction of the resulted bending moments in the adjacent exterior and interior joints. Throughout this work, the effects of these changes are evaluated numerically using different modeling techniques considering both seismic and non-seismic reinforcement details. Numerical simulations of standard and sub-standard joints that were verified against experimentally tested joints are also presented. Joint macro models are developed using the OpenSees platform. These numerical models are then used to simulate the substandard beam-column joints appearing in RC frames after ground corner column removal. Moreover, strut and tie models (STMs) were developed for a substandard knee joint to validate the obtained numerical results. The application of the developed numerical models allows to identify the evolution of a joint’s capacity in function of its reinforcement detailing. The analysis shows the suitability of seismic detailing for exterior and interior joints and also a decrease in the inverted knee joint resistance and this can be recovered by adding i) more confinement to the joint panel zone or ii) joint vertical stirrups. An increase in the degree of confidence in the numerical results is achieved by reproduce similar behavior using different analysis methods.
DOI: 10.6084/m9.figshare.9697097
title: Access to dental services and oral health-related quality of life in the context of primary health care

description: Abstract The aim of the present study was to evaluate the association between access to oral health care in the Primary Health Care (PHC) and Oral Health-Related Quality of Life (OHRQoL). The present study was a cross-sectional study, and the sample was composed of 412 users living in the areas covered by the public PHC services who visited a health unit for an oral exam or treatment in the last 24 months. Participants in the study responded to a home-based interview with questions that addressed socioeconomic status, behavioral, general health, dental prostheses, access to dental services in the PHC and their OHRQoL as measured by the Oral Health Impact Profile (OHIP-14) instrument. After the interview, a dental examination was performed to count the number of teeth. Chi-square tests, Student’s t tests and multivariate analyses were performed using a hierarchical model and a Poisson regression with robust variance to evaluate the association between independent variables and OHRQoL. Access to oral health services in the PHC was statistically associated with OHRQoL, and the estimated prevalence rate was PR = 1.17 (CI 95% 1.00-1.37). In this study, the definition of access was based on the availability of dental consultations on demand. The study identified that lack of access to oral health services offered by the PHC was associated with a higher prevalence of impact on the quality of life of individuals.
DOI: 10.6084/m9.figshare.9697106.v1
title: Demarcated opacity in primary teeth increases the prevalence of molar incisor hypomineralization

description: Abstract This cross-sectional study aimed to assess the prevalence of molar incisor hypomineralization (MIH) and its relationship with the number of primary teeth with developmental defects of enamel (DDE). A representative population-based sample of 731 schoolchildren was randomly selected from the public school system in Curitiba, Brazil. Schoolchildren aged 8 years with fully erupted permanent first molars and incisors were eligible for the study. MIH and DDE were classified by four calibrated examiners (kappa &gt; 0.75) according to EAPD criteria and to the FDI-modified DDE index. Clinical data were collected in a school environment. Socioeconomic information was collected through a self-administered semistructured questionnaire applied to the children’s caregivers. Statistical analyses were carried out using Poisson multiple regression with robust variance (α = 0.05). MIH prevalence was 12.1% (95%CI: 10–15), and opacities were the most prevalent defect. Socioeconomic factors were not associated with MIH. Children with demarcated opacity in primary teeth presented a higher prevalence of MIH than those without DDE in primary teeth. In the multiple analysis, the increase of one primary tooth affected by demarcated opacity increased the prevalence of MIH by 33% (PR = 1.33, 95%CI: 1.15–1.53, p &lt; 0.001). Asian children had a higher prevalence of MIH (PR = 2.91, 95%CI: 1.08–8.09 p = 0.035) than did Caucasian children.Conclusion: Based on these findings, the prevalence of MIH in Curitiba was 12.1%. Demarcated opacity in primary teeth could be considered a predictor of MIH.
DOI: 10.6084/m9.figshare.9697100.v1
title: A national study on the use of opioid analgesics in dentistry

description: Abstract The aim of this study was to assess the frequency of opioid analgesics prescribed by Brazilian dentists, potential regional differences and their association with socioeconomic and health-related factors. Data for all opioid prescriptions by dentists was obtained from the 2012 database of the National Controlled Substances Management System, regulated by the Brazilian Health Surveillance Agency. The number of defined daily doses (DDD) and DDDs per 1,000 inhabitants per day for each Brazilian state were calculated as the primary outcomes. DDDs were compared by regions and Brazilian states. Spearman’s rho correlation coefficient was used to determine the influence of the states’ characteristics, such as the Human Development Index; poverty; education; number of dentists per 100,000 inhabitants; visit to the dentist; dental care plan; good or very good oral health; number of pharmaceutical establishments per 100,000/inhabitants; and ability to get all prescribed medications. Data analysis was performed using IBM SPSS Statistics 25.0. A total of 141,161 prescriptions for opioids analgesics by 36,929 dentists were recorded, corresponding to 658,855 doses of opioids dispensed in 2012. The most commonly dispensed opioids were codeine associated with paracetamol (83.2%; n = 117,493). The national DDDs per 1,000 inhabitants per day was 0.0093 (range: 0.0002-0.0216). DDD per 1,000 inhabitants per day was positively associated to visits to dentists (rs = 0.630; P &lt; 0.001) and inversely associated to poverty (rs = -0.624; p = 0.001). There are significant differences in opioid prescriptions in dentistry among the Brazilian states. These differences may be associated with non-clinical factors.