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1.
Av. psicol. latinoam ; 40(3): 1-16, sep.-dic. 2022.
Article in English | LILACS, COLNAL | ID: biblio-1428028

ABSTRACT

Expectations for the future of adolescents aging out of care have a determinant influence on short and long-term outcomes. In Brazil, care leavers experience the transition to adult life largely unsupported. Therefore, we aimed to investigate the aspects that favor better future expectations of Brazilian adolescents who are aging out of care. The study participants were 190 male (55.8 %) and female (44.2 %) adolescents between 14 and 18 years of age (m= 15.92, sd= 1.00) from three Brazilian capitals. The discriminant analysis technique was used to identify profile characteristics that significantly distinguished two groups: adolescents with high and those with low expectations for the future. The results reveal that (1) the aspect that most contributes to the increase in future expectations is the perceived social support, (2) the greater the readiness to leave care and the satisfaction with life, the better the future expectations, and (3) participating in an employment-assistance program brought down the adolescents' future expectations. These results point to the importance of preparation to leave care, combining instrumental support with socio-emotional support and considering the adolescents as the protagonists of their process and plans.


Las expectativas futuras de los adolescentes que dejan los centros de acogida con 18 años tienen una influencia determinante en los resultados que alcanzarán a corto y largo plazo. En Brasil, la mayoría de jóvenes que salen de los centros de acogida con 18 años transitan a la edad adulta sin ningún tipo de apoyo. Por ello, en este artículo apuntamos a investigar los aspectos que favorecen mejores expectativas de futuro en adolescentes brasileños que están a punto de salir de los centros de acogida por haber llegado a la mayoría de edad. Los participantes del estudio fueron 190 adolescentes de ambos sexos (44.2 % niñas y 55.8 % niños), entre 14 y 18 años (m= 15.92, de = 1.00), de tres ciudades capitales brasileñas. Se utilizó la técnica de análisis discriminante para identificar características de perfil que distinguieron significativamente dos grupos: adolescentes con altas expectativas y adolescentes con bajas expectativas de futuro. Los resultados revelan que (1) el aspecto que más contribuye al aumento de dichas expectativas es el apoyo social percibido, (2) cuanto mayor sea la percepción de preparación para dejar el centro de acogida y la satisfacción con la vida, mejores serán las expectativas, y (3) participar en un programa nacional de inserción laboral disminuye las expectativas de futuro de los adolescentes. Los resultados demuestran la importancia de preparar a estos jóvenes para la transición a la edad adulta, al combinar el apoyo instrumental con el socioemocional, y considerando a los adolescentes protagonistas de sus procesos y planes futuros.


As expectativas futuras dos adolescentes que saem dos centros de acolhimento aos 18 anos têm uma influência importante nos resultados alcançados por eles a curto e longo prazo. No Brasil, a maioria dos jovens que saem dos centros de acolhimento aos 18 anos transitam para a vida adulta sem nenhum tipo de apoio. Portanto, bus-camos investigar quais aspectos favorecem melhores perspectivas de futuro em adolescentes brasileiros que estão prestes a deixar os abrigos por já serem maiores de idade. Os participantes do estudo foram 190 ado-lescentes entre 14 e 18 anos (m = 15.92, dp = 1.00), de ambos os sexos (44.2 % meninas e 55.8 % meninos) de três capitais brasileiras. A técnica de análise discri-minante foi utilizada para identificar características de perfil que distinguissem significativamente dois grupos: adolescentes com altas expectativas para o futuro e adolescentes com baixas expectativas para o futuro. Os resultados revelam que: (1) o aspecto que mais contribui para o aumento das expectativas futuras é o suporte social percebido; (2) quanto maior a percepção de preparação para deixar o centro de acolhida e a satis-fação com a vida, melhores são as expectativas futuras; e (3) participar de um programa nacional de colocação profissional reduz as expectativas dos adolescentes para o futuro. Esses resultados apontam para a importância de preparar esses jovens para a transição para a vida adulta, aliando o apoio instrumental ao apoio socioemocional e considerando os adolescentes como protagonistas de seus processos e planos futuros.


Subject(s)
Humans , Personal Satisfaction , Social Support , Aging , Discriminant Analysis , Life , Motivation
2.
urol. colomb. (Bogotá. En línea) ; 31(2): 73-81, 2022. ilus
Article in English | LILACS, COLNAL | ID: biblio-1411986

ABSTRACT

Purpose To identify metabolites in humans that can be associated with the presence of malignant disturbances of the prostate. Methods In the present study, we selected male patients aged between 46 and 82 years who were considered at risk of prostate cancer due to elevated levels of prostate-specific antigen (PSA) or abnormal results on the digital rectal examination. All selected patients came from two university hospitals (Hospital Universitario del Valle and Clínica Rafael Uribe Uribe) and were divided into 2 groups: cancer (12 patients) and non-cancer (20 patients). Cancer was confirmed by histology, and none of the patients underwent any previous treatment. Standard protocols were applied to all the collected blood samples. The resulting plasma samples were kept at -80°C, and a profile of each one was acquired by nuclear magnetic resonance (NMR) using established experiments. Multivariate analyses were applied to this dataset, first to establish the quality of the data and identify outliers, and then, to model the data. Results We included 12 patients with cancer and 20 without it. Two patients were excluded due to contamination with ethanol. The remaining ones were used to build an Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) model (including 15 non-cancer and 10 cancer patients), with acceptable discrimination (Q2 = 0.33). This model highlighted the role of lactate and lipids, with a positive association of these two metabolites and prostate cancer. Conclusions The primary discriminative metabolites between patients with and without prostate cancer were lactate and lipids. These might be the most reliable biomarkers to trace the development of cancer in the prostate.


Objetivo Identificar metabolitos en humanos que pueden estar asociados con la presencia de alteraciones malignas de la próstata. Métodos Se incluyeron muestras de pacientes masculinos entre 46 y 82 años y que se consideraron en riesgo de cáncer de próstata debido a la elevación del antígeno prostático específico (PSA) o el examen rectal anormal. Todos los pacientes seleccionados procedían de dos hospitales universitarios (Hospital Universitario del Valle y Clínica Rafael Uribe Uribe) y se dividieron en dos grupos: Oncológicos (12) vs no oncológicos (20). El cáncer fue confirmado por histología, y ninguno de ellos recibió tratamiento previo. Se aplicaron protocolos estándar a todas las muestras de sangre recolectadas. Las muestras de plasma resultantes se mantuvieron a −80°C y se adquirió un perfil de cada muestra mediante RMN. Se aplicaron análisis multivariantes a este conjunto de datos, primero para establecer la calidad de los datos e identificar valores atípicos, y para modelar los datos. Resultados Se incluyeron 12 pacientes con cáncer y 20 pacientes sin cáncer. Dos pacientes fueron excluidos por contaminación con etanol. Los restantes se utilizaron para construir un modelo OPLS-DA (15 pacientes no oncológicos y diez oncológicos), con una discriminación aceptable (Q2 = 0,33). Este modelo destacó el papel del lactato y los lípidos, encontrando una asociación positiva entre estos dos metabolitos y el cáncer de próstata. Conclusiones Los principales metabolitos discriminativos entre pacientes con cáncer de próstata versus no cáncer fueron el lactato y los lípidos. Estos podrían ser los biomarcadores más confiables para rastrear el desarrollo del cáncer en la próstata.


Subject(s)
Humans , Male , Prostate , Prostatic Neoplasms , Metabolomics , Magnetic Resonance Spectroscopy , Discriminant Analysis , Multivariate Analysis , Prostate-Specific Antigen , Lactic Acid , Digital Rectal Examination , Social Discrimination
3.
Int. j. morphol ; 40(4): 1009-1017, 2022. ilus, tab
Article in English | LILACS-Express | LILACS | ID: biblio-1405229

ABSTRACT

SUMMARY: Sex estimation from human skeletal remains is of vital importance in the buildup of a biological profile of an individual in medico-legal and bioarchaeological studies. The present study is focused on the estimation of sex from osteometric measurements of the complete femur and its fragmentary parts, and the development of a web based application related to this. Fifteen osteometric measurements were taken from 78 dry cadaveric femurs from the Faculty of Medicine, University of Kelaniya. Using R software, linear discriminant analysis and logistic regression methods were applied to build classification models with the help of the application of a stepwise procedure, to identify the best combination of measurements to estimate the sex of the femur. A cross-validation method was applied to estimate the predictive accuracy of each model. Since the linear discriminant analysis model gave more predictive accuracy than the regression model, we suggest using linear discriminant analysis to estimate the sex using osteometric measurements of the femur. From the whole femur measurements, a formula to determine sex was developed with highest total accuracy of 83 % using four parameters; epicondylar breadth, anteroposterior mid-shaft diameter, bi-trochanter length, and maximum shaft diameter. Similarly, measurements of transverse head diameter and bi-trochanter length with a total accuracy of 76 % for the proximal part of the femur, measurements of anteroposterior mid-shaft diameter with a total accuracy of 77 % for the mid-shaft, and measurements of epicondylar breadth and maximum length of the lateral condyle with a total accuracy of 70 % for the distal part of the femur were identified as significant discriminants to determine sex, and formulae were written accordingly. Average accuracy ranged from 83 % to 70 %, with male accuracy slightly higher than that of females. A web application to estimate the sex of femur using these formulae was developed and this will be of great importance for forensic medicine and bio-archaeological research in Sri Lanka.


RESUMEN: La estimación del sexo a partir de restos óseos humanos en los estudios médico-legales y bioarqueológicos es de vital importancia en la construcción de un perfil biológico de un individuo. El objetivo de este estudio fue la estimación del sexo a partir de medidas osteométricas del fémur completo y sus partes fragmentarias, y el desarrollo de una aplicación web relacionada con esto. Se tomaron quince medidas osteométricas de 78 fémures cadavéricos secos de la Facultad de Medicina de la Universidad de Kelaniya. Utilizando el software R, se aplicaron métodos de análisis discriminante lineal y regresión logística para construir modelos de clasificación con la aplicación de un procedimiento por pasos, para identificar la mejor combinación de medidas y estimar el sexo a partir del fémur. Se aplicó un método de validación cruzada para estimar la precisión predictiva de cada modelo. Dado que el modelo de análisis discriminante lineal proporcionó una mayor precisión predictiva que el modelo de regresión, sugerimos su utilización para estimar el sexo mediante mediciones osteométricas del fémur. A partir de las mediciones del fémur completo, se desarrolló una fórmula para determinar el sexo con la mayor precisión total del 83 % utilizando cuatro parámetros; anchura del epicóndilo, diámetro anteroposterior del tercio medio de la diáfisis, longitud bitrocánter y diámetro máximo de la diáfisis. De manera similar, utilizamos las mediciones del diámetro transversal de la cabeza del fémur y la longitud del bitrocánter con una precisión del 76 % para la parte proximal del hueso, las mediciones del diámetro anteroposterior del tercio medio de la diáfisis se obtuvo con una precisión del 77 %. El ancho del epicóndilo y la longitud máxima del cóndilo lateral con una precisión del 70 % para la parte distal del fémur se identificaron como discriminantes significativos para determinar el sexo y se escribieron fórmulas. La precisión promedio osciló entre el 83 % y el 70 %, siendo la precisión en los hombres ligeramente superior al de las mujeres. Se desarrolló una aplicación web para estimar el sexo del fémur utilizando estas fórmulas y creemos será importante para la medicina forense y la investigación bioarqueológica en Sri Lanka.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Aged, 80 and over , Sex Determination by Skeleton , Femur/anatomy & histology , Sri Lanka , Discriminant Analysis
4.
Int. j. morphol ; 40(4): 1128-1133, 2022. ilus, tab
Article in English | LILACS-Express | LILACS | ID: biblio-1405237

ABSTRACT

SUMMARY: Identification of fragmentary human remains is an integral par of medico legal investigations. Occipital region is commonly not affected in traumatic injuries and accidents due to its secluded position which makes it the integral part in determination of sex in the absence of entire skeleton. Occipital condylar region is also the most common area for degenerative and neoplastic diseases. So thorough knowledge of anatomy of occipital condyle is very essential during surgical interventions. 86 skulls were studied from osteological collections of Department of Anatomy, Yenepoya Medical College. Maximum length and breadth of the occipital condyle, anterior intercondylar distance and posterior intercondylar distance was measured with the help of vernier callipers. Descriptive statistics was calculated for the parameters considered. Metric data of right and left sides were compared with student t test and p value was calculated.All data obtained was subjected for discriminant function analysis to derive the statistical model. All the measurements were significantly high in males compared to females. Condylar length and width, anterior and posterior intercondylar distance can be used to derive formula for determination of sex in south Indian population with an accuracy of 66.3 %.


RESUMEN: La identificación de restos humanos fragmentarios es una parte integral de las investigaciones médico legales. La región occipital comúnmente no se ve afectada en lesiones traumáticas y accidentes debido a su posición apartada que la convierte en parte integral en la determinación del sexo en ausencia de un esqueleto completo. La región condilar occipital es también el área más común de enfermedades degenerativas y neoplásicas. Por lo tanto, el conocimiento integral de la anatomía del cóndilo occipital es esencial durante las intervenciones quirúrgicas. Se estudiaron 86 cráneos de colecciones osteológicas del Departamento de Anatomía, Facultad de Medicina de Yenepoya. Se midió el largo y ancho máximo del cóndilo occipital, la distancia intercondilar anterior y la distancia intercondilar posterior con la ayuda de un calibrador vernier. Se calculó la estadística descriptiva para los parámetros considerados. Los datos métricos de los lados derecho e izquierdo se compararon con la prueba t de Student y se calculó el valor de p. Todos los datos obtenidos se sometieron a análisis de función discriminante para derivar el modelo estadístico. Todas las medidas fueron significativamente altas en los hombres en comparación con las mujeres. La longitud y el ancho del cóndilo, la distancia intercondilar anterior y posterior se pueden utilizar para derivar la fórmula para determinar el sexo en la población del sur de la India con una precisión del 66,3 %.


Subject(s)
Humans , Male , Female , Sex Characteristics , Sex Determination by Skeleton , Occipital Bone/anatomy & histology , Discriminant Analysis , Cross-Sectional Studies , Forensic Medicine
5.
Iheringia, Sér. zool ; 1122022. mapas, ilus, tab, graf
Article in English | LILACS, VETINDEX | ID: biblio-1380480

ABSTRACT

A identidade de Psalidodon eigenmanniorum (Cope, 1894) e a possibilidade de se constituir em mais de uma espécie é testada através de análises da morfometria (19 medidas), dos caracteres merísticos (14 contagens) e do padrão de colorido de 705 exemplares provenientes dos sistemas dos rios Tramandaí/Mampituba, da laguna dos Patos e drenagem do baixo rio Uruguai. Foram diafanizados e corados 40 exemplares. Os dados morfométricos foram utilizados na Análise de Componentes Principais, Análise Discriminante, Morfometria Geométrica e Função Discriminante. As análises foram feitas considerando os sexos em separado dentro de cada sistema hidrográfico, bem como comparando as populações entre os sistemas hidrográficos e finalmente no conjunto de sistemas representando a área de ocorrência da espécie. A partir dos dados analisados não foram encontradas diferenças entre os sexos. Os resultados mostraram variação morfológica que não sustenta o reconhecimento de possíveis espécies crípticas. A variação encontrada nos dados merísticos, morfométricos e no padrão de colorido justifica a redescrição da espécie. Os resultados das comparações entre as populações indicaram variações nesses caracteres indicando que a espécie possui considerável plasticidade fenotípica.(AU)


The identity of Psalidodon eigenmanniorum (Cope, 1894) and the possibility of constituting more than one species is tested through analyzes of morphometry (19 measurements), meristic characters (14 counts) and the color pattern of 705 specimens from the Tramandaí/Mampituba, from the Patos lagoon and from the lower Uruguay River drainage. Forty specimens were cleared and stained. Morphometric data were used in Principal Component Analysis, Discriminant Analysis, Geometric Morphometry and Discriminant Function. The analysis was carried out considering the sexes separately within each hydrographic system, as well as comparing the populations between the hydrographic systems and finally in the set of systems representing the area of occurrence of the species. No differences were found between the sexes in the analyzed data. The results showed morphological variation that does not support the recognition of possible cryptic species. The variation found in meristic, morphometric and color pattern data justifies the redescription of the species. The species is described to the aforementioned drainages, and the results demonstrate its phenotypic plasticity.(AU)


Subject(s)
Animals , Male , Female , Principal Component Analysis/methods , Characidae/classification , Discriminant Analysis , Biological Variation, Population
6.
Int. j. morphol ; 39(6): 1535-1542, dic. 2021. ilus, tab
Article in English | LILACS-Express | LILACS | ID: biblio-1385529

ABSTRACT

SUMMARY: Sex estimation from fragmentary bone remain is still challenge for forensic pathologist. Ulna has been reported useful for sex estimation by metric analysis. This study generated sex estimation function for fragment and complete of ulnar bone in a Thai population. The function was generated from 200 pairs of ulnar bone, and others 20 pair of ulnar bone were used for test the accuracy of the functions. Olecranon width was the best single variable for sex predicting of proximal part of ulna, which right olecranon width could be classified the sex 90.5 %. While distal end width of ulna was the variable for predicting the sex of distal part, which left distal end width could be classified the sex with 83.0 %. Stepwise discriminant function analysis was applied to proximal part. For proximal part of right ulna 4 measurements were selected (inferior-medial trochlear notch length, olecranon width, olecranon-coronoid process length, and maximum proximal ulnar width), while the left side, superior trochlear notch width, olecranon width, and maximum proximal ulnar width were chosen, and their functions could be predicted the sex with 91.0 % and 90.0 %, respectively. Our results indicated the ulnar bone had high ability for estimating the sex in a Thai population.


RESUMEN: La estimación del sexo a partir de restos óseos fragmentarios sigue siendo un desafío para el patólogo forense. Se ha informado de la utilidad de la ulna para la estimación del sexo mediante análisis métrico. En este estudio se analizó la estimación del sexo para un fragmento y de la ulna completa en una población tailandesa. La función se generó a partir de 200 pares de ulnas y se utilizaron otras 20 pares de ulnas estimando la precisión de las funciones. El ancho del olécranon fue la mejor variable individual para predecir el sexo en la parte proximal de la ulna (90, 5 %). Si bien el ancho del extremo distal de la ulna fue la variable para predecir el sexo, el ancho del extremo distal izquierdo podría clasificarse por sexo con un 83,0 % de certeza. Se aplicó un análisis de función discriminante escalonada a la parte proximal. Para la parte proximal de la ulna derecha se seleccionaron 4 medidas (longitud de la incisura troclear inferior-medial, ancho del olécranon, longitud del proceso olecraneano-proceso coronoides y ancho ulnar proximal máximo), mientras que en el lado izquierdo, fue determinado el ancho de la incisura superior troclear, ancho del olécranon y ancho ulnar proximal máximo. Se eligió el ancho, y se pudo predecir el sexo en el 91,0 % y 90,0 % de los casos, respectivamente. Nuestros resultados indicaron que la ulna tenía una alta capacidad para estimar el sexo en una población tailandesa.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Aged, 80 and over , Young Adult , Ulna/anatomy & histology , Sex Determination by Skeleton/methods , Thailand , Discriminant Analysis , Olecranon Process/anatomy & histology
7.
Gac. méd. Méx ; 157(3): 240-245, may.-jun. 2021. tab, graf
Article in Spanish | LILACS | ID: biblio-1346102

ABSTRACT

Resumen Introducción: La escasez de aplicaciones centradas en la persona y con vistas al desarrollo de la conciencia del riesgo que representa la pandemia de COVID-19 estimula la exploración y creación de herramientas de carácter preventivo accesibles a la población. Objetivo: Elaboración de un modelo predictivo que permita evaluar el riesgo de letalidad ante infección por el virus SARS-CoV-2. Métodos: Exploración de datos públicos de 16 000 pacientes positivos a COVID-19, para generar un modelo discriminante eficiente, valorado con una función score y que se expresa mediante un cuestionario autocalificado de interés preventivo. Resultados: Se obtuvo una función lineal útil con capacidad discriminante de 0.845; la validación interna con bootstrap y la externa, con 25 % de los pacientes de prueba, mostraron diferencias marginales. Conclusión: El modelo predictivo, basado en 15 preguntas accesibles puede convertirse en una herramienta de prevención estructurada.


Abstract Introduction: The scarcity of person-centered applications aimed at developing awareness on the risk posed by the COVID-19 pandemic, stimulates the exploration and creation of preventive tools that are accessible to the population. Objective: To develop a predictive model that allows evaluating the risk of mortality in the event of SARS-CoV-2 virus infection. Methods: Exploration of public data from 16,000 COVID-19-positive patients to generate an efficient discriminant model, evaluated with a score function and expressed by a self-rated preventive interest questionnaire. Results: A useful linear function was obtained with a discriminant capacity of 0.845; internal validation with bootstrap and external validation, with 25 % of tested patients showing marginal differences. Conclusion: The predictive model with statistical support, based on 15 accessible questions, can become a structured prevention tool.


Subject(s)
Humans , Male , Female , Infant , Child, Preschool , Child , Adolescent , Adult , Middle Aged , Aged , Young Adult , Models, Statistical , COVID-19/prevention & control , Discriminant Analysis , Linear Models , Risk , COVID-19/mortality
8.
Braz. J. Pharm. Sci. (Online) ; 57: e18899, 2021. tab, graf
Article in English | LILACS | ID: biblio-1339302

ABSTRACT

Microbiological quality of pharmaceuticals is fundamental in ensuring efficacy and safety of medicines. Conventional methods for microbial identification in non-sterile drugs are widely used; however they can be time-consuming and laborious. The aim of this paper was to develop a chemometric-based rapid microbiological method (RMM) for identifying contaminants in pharmaceutical products using Fourier transform infrared with attenuated total reflectance spectrometry (FTIR-ATR). Principal components analysis (PCA) and linear discriminant analysis (LDA) were used to obtain a predictive model capable of distinguishing Bacillus subtilis (ATCC 6633), Candida albicans (ATCC 10231), Enterococcus faecium (ATCC 8459), Escherichia coli (ATCC 8739), Micrococcus luteus (ATCC 10240), Pseudomonas aeruginosa (ATCC 9027), Salmonella typhimurium (ATCC 14028), Staphylococcus aureus (ATCC 6538), and Staphylococcus epidermidis (ATCC 12228) microbial growth. FTIR-ATR spectra provide data on proteins, DNA/RNA, lipids, and carbohydrates constitution of microbial growth. Microbial identification provided by PCA/LDA based on FTIR-ATR method were compatible with those obtained using traditional microbiological methods. The chemometric-based FTIR-ATR method for rapid identification of microbial contaminants in pharmaceutical products was validated by assessing the sensitivity (93.5%), specificity (83.3%), and limit of detection (17-23 CFU/mL of sample). Therefore, we propose that FTIR-ATR spectroscopy may be used for rapid identification of microbial contaminants in pharmaceutical products and taking into account the samples studied


Subject(s)
Spectrum Analysis/instrumentation , Pharmaceutical Preparations/analysis , Discriminant Analysis , Spectroscopy, Fourier Transform Infrared/methods , Fourier Analysis , Pseudomonas aeruginosa/classification , Bacillus subtilis/classification , Candida albicans/classification , Total Quality Management , Limit of Detection
9.
Rev. bras. estud. popul ; 38: e0154, 2021. tab, graf
Article in Portuguese | LILACS | ID: biblio-1288509

ABSTRACT

Este artigo aborda as limitações da categoria aglomerado subnormal, do IBGE, para analisar as desigualdades socioeconômicas, habitacionais, demográficas e, sobretudo, de acesso aos serviços básicos de infraestrutura urbana nas cidades brasileiras. Também são considerados os potenciais impactos que as mudanças previstas para o próximo Censo Demográfico terão sobre as análises e as políticas públicas de melhoria das condições de vida urbana. Como metodologia, utilizou-se a análise discriminante para identificar setores censitários classificados como comuns, pelo IBGE, que possuíam características similares às dos setores subnormais, em 2010, nas regiões metropolitanas selecionadas. Em seguida, relacionaram-se os tipos de setores à inadequação dos serviços básicos de infraestrutura urbana e foram analisados os quesitos previstos para serem retirados do próximo Censo, à luz das variáveis que mais discriminaram os setores subnormais dos comuns, segundo as análises realizadas. Os resultados evidenciam que os setores subnormais e os similares identificados não foram suficientes para representar as áreas urbanas com maior demanda de serviços públicos essenciais adequados, em 2010. A localização dos setores reflete muito mais sobre a precariedade dos serviços do que sua condição de "subnormalidade". Destaca-se a relevância da informação sobre o fornecimento de energia elétrica e sobre a condição de ocupação dos domicílios para as análises das desigualdades habitacionais e de infraestrutura urbana, cujas variáveis estão indicadas para serem retiradas do questionário do universo no próximo recenseamento. Finalmente, salienta-se a contínua valorização da propriedade no conceito de "subnormalidade" do IBGE em detrimento da disponibilidade de serviços públicos essenciais adequados nas áreas urbanas.


This article addresses the limitations of the IBGE's subnormal agglomerate category to analyze socioeconomic, housing, and demographic inequalities and, specially, inequalities in access to basic urban infrastructure services in Brazilian cities. The text also considers the potential impact that the changes foreseen for the next Demographic Census will have on the analyses and public policies for improving urban living conditions. As a methodology, Discriminant Analysis was used to identify census sectors classified as common by IBGE, which had characteristics similar to those of subnormal sectors, in 2010, in selected Metropolitan Regions. Then, the types of sectors were related to the inadequacy of basic urban infrastructure services and the questions to be removed from the next Census were analyzed, in the light of the variables that discriminated most between subnormal and common sectors, according to the analyses carried out. The results showed that the subnormal and similar sectors identified were not enough to represent the urban areas with the greatest demand for adequate essential public services in 2010. The location of the sectors reflects much more about the precariousness of services than their condition of "subnormality". The relevance of electricity supply information and also of occupancy condition of households for the analysis about housing and urban infrastructure inequalities are highlighted. These variables are indicated to be removed from the universe questionnaire in the next census. Finally, the continuous valuation of property in the IBGE's concept of "subnormality" over the availability of adequate essential public services in urban areas is emphasized.


Este artículo aborda las limitaciones de la categoría aglomerado subnormal, del IBGE, para analizar las desigualdades socioeconómicas, habitacionales, demográficas y, sobre todo, de acceso a servicios básicos de infraestructura urbana en las ciudades brasileñas. El texto también considera los impactos potenciales que los cambios previstos para el próximo censo de población tendrán sobre los análisis y las políticas públicas para mejorar las condiciones de vida urbana. Como metodología, se utilizó el análisis discriminante para identificar los sectores censales clasificados como comunes por el IBGE que tenían características similares a las de los sectores subnormales, en 2010 en las regiones metropolitanas seleccionadas. Luego, se relacionaron los tipos de sectores con la inadecuación de los servicios básicos de infraestructura urbana y se analizaron las preguntas a ser eliminadas del próximo censo a la luz de las variables que más discriminaron entre sectores subnormales y comunes, según los análisis realizados. Los resultados muestran que los sectores subnormales y similares identificados no fueron suficientes para representar las áreas urbanas con mayor demanda de servicios públicos esenciales adecuados, en 2010. La ubicación de los sectores refleja mucho más la precariedad de los servicios que su condición de subnormalidad. Se destaca la relevancia de la información sobre el suministro de energía eléctrica y sobre la condición de ocupación de los hogares en el análisis de las desigualdades habitacionales y de infraestructura urbana, cuyas variables están indicadas para ser eliminadas del cuestionario del universo en el próximo censo. Por último, cabe destacar la valoración continua de la propiedad en el concepto de "subnormalidad" del IBGE en detrimento de la disponibilidad de servicios públicos esenciales adecuados en las zonas urbanas.


Subject(s)
Humans , Socioeconomic Factors , Discriminant Analysis , Urban Area , Vulnerable Populations , Social Conditions , Brazil , Residence Characteristics , Censuses , Electricity , Infrastructure
10.
Article in Chinese | WPRIM | ID: wpr-888208

ABSTRACT

Vision is an important way for human beings to interact with the outside world and obtain information. In order to research human visual behavior under different conditions, this paper uses a Gaussian mixture-hidden Markov model (GMM-HMM) to model the scanpath, and proposes a new model optimization method, time-shifting segmentation (TSS). The TSS method can highlight the characteristics of the time dimension in the scanpath, improve the pattern recognition results, and enhance the stability of the model. In this paper, a linear discriminant analysis (LDA) method is used for multi-dimensional feature pattern recognition to evaluates the rationality and the accuracy of the proposed model. Four sets of comparative trials were carried out for the model evaluation. The first group applied the GMM-HMM to model the scanpath, and the average accuracy of the classification could reach 0.507, which is greater than the opportunity probability of three classification (0.333). The second set of trial applied TSS method, and the mean accuracy of classification was raised to 0.610. The third group combined GMM-HMM with TSS method, and the mean accuracy of classification reached 0.602, which was more stable than the second model. Finally, comparing the model analysis results with the saccade amplitude (SA) characteristics analysis results, the modeling analysis method is much better than the basic information analysis method. Via analyzing the characteristics of three types of tasks, the results show that the free viewing task have higher specificity value and a higher sensitivity to the cued object search task. In summary, the application of GMM-HMM model has a good performance in scanpath pattern recognition, and the introduction of TSS method can enhance the difference of scanpath characteristics. Especially for the recognition of the scanpath of search-type tasks, the model has better advantages. And it also provides a new solution for a single state eye movement sequence.


Subject(s)
Algorithms , Discriminant Analysis , Eye Movements , Humans , Markov Chains , Normal Distribution , Probability
11.
Article in Chinese | WPRIM | ID: wpr-888202

ABSTRACT

Error self-detection based on error-related potentials (ErrP) is promising to improve the practicability of brain-computer interface systems. But the single trial recognition of ErrP is still a challenge that hinters the development of this technology. To assess the performance of different algorithms on decoding ErrP, this paper test four kinds of linear discriminant analysis algorithms, two kinds of support vector machines, logistic regression, and discriminative canonical pattern matching (DCPM) on two open accessed datasets. All algorithms were evaluated by their classification accuracies and their generalization ability on different sizes of training sets. The study results show that DCPM has the best performance. This study shows a comprehensive comparison of different algorithms on ErrP classification, which could give guidance for the selection of ErrP algorithm.


Subject(s)
Algorithms , Brain , Brain-Computer Interfaces , Discriminant Analysis , Electroencephalography , Support Vector Machine
12.
Article in Chinese | WPRIM | ID: wpr-880106

ABSTRACT

OBJECTIVE@#To observe the changes of serum metabolites in patients with multiple myeloma (MM) by metabonomics, and explore the potential biomarkers for diagnosis, prognosis, and progression of MM.@*METHODS@#Serum samples were collected from 26 patients with MM and 50 healthy controls. The data detected by liquid chromatography-mass spectrometry (LC-MS) was input into SIMCA-14.0 software for multivariate statistical analysis. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to analyze the changes of metabolites.@*RESULTS@#The metabolic change of uric acid and trans-vaccenic acid in serum samples of MM patients was 9.39 times and 2.77 times of these in healthy people, respectively, which were significantly higher than those of healthy people, and the difference was statistically significant(P<0.01).@*CONCLUSION@#Uric acid and trans-vaccenic acid are expected to be important metabolic indicators for the diagnosis, prognosis, and efficacy evaluation of MM, thus providing some clues for the pathogenesis of MM.


Subject(s)
Biomarkers , Chromatography, Liquid , Discriminant Analysis , Humans , Mass Spectrometry , Metabolomics , Multiple Myeloma
13.
Int. j. morphol ; 38(6): 1651-1656, Dec. 2020. tab, graf
Article in English | LILACS | ID: biblio-1134493

ABSTRACT

SUMMARY: Although molecular techniques evolved considerably in last years, anthropological methods of assessing skeletal remains, continues to be an important tool in the identification process in medico legal investigations. The objective of this study was to develop a discriminant function equation for estimating sex and stature using several measurements of lumbar vertebrae in a Thai population. We studied 150 lumbar columns (75 male and 75 female) age range of 22 to 89 years from the Forensic Osteology Research Center, Chiang Mai University, Thailand. The quantitative variables with sex were analyzed by the discriminant function analysis and that with stature were calculated using linear regression. The pixel density of the major axis of the trabecular surface of superior endplate of the first lumbar vertebra had the most accuracy in sex determination. The regression equation with quantitative variables in stature estimation described 32.3 % of the total variance with standard error of estimate of 7.736 cm. Lumbar vertebrae can be used as part of the stature and sex quantitatively and qualitatively estimating in Thais incomplete skeletal remains.


RESUMEN: Los métodos antropológicos de evaluación del esqueleto siguen siendo una herramienta importante en el proceso de identificación en las investigaciones médico-legales. El objetivo de este estudio fue desarrollar una ecuación de función discriminante para estimar el sexo y la estatura utilizando varias medidas de las vértebras lumbares en una población tailandesa. Se estudiaron 150 columnas lumbares (75 hombres y 75 mujeres) con un rango etario de 22 a 89 años del Centro de Investigación de Osteología Forense, Universidad de Chiang Mai, Tailandia. Las variables cuantitativas de sexo se analizaron mediante el análisis de función discriminante y la estatura fue calculada mediante regresión lineal. En cuanto a la determinación de sexo, la densidad de píxeles del eje mayor de superficie trabecular de la placa terminal superior de la primera vértebra lumbar fue de mayor precisión. La ecuación de regresión con variables cuantitativas en la estimación de la estatura describió el 32,3 % de la varianza total con el error estándar de estimación de 7,736 cm. Las vértebras lumbares se pueden utilizar como parte de la estatura y el sexo, estimando cuantitativa y cualitativamente los restos esqueléticos incompletos en sujetos tailandeses.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Aged, 80 and over , Young Adult , Body Height , Sex Determination by Skeleton/methods , Lumbar Vertebrae/diagnostic imaging , Thailand , Discriminant Analysis , Linear Models , Forensic Anthropology , Lumbar Vertebrae/anatomy & histology
14.
Acta bioquím. clín. latinoam ; 54(3): 257-266, set. 2020. graf, tab
Article in Spanish | LILACS | ID: biblio-1130600

ABSTRACT

EL HOMA-IR (homeostasis model assessment-insulin-resistance) es un estimador de insulinorresistencia (IR) pero depende de la determinación de insulina. Los índices triglicéridos-glucosa (T-G)-circunferencia de la cintura (CC) (T-G-CC) o triglicéridos-glucosa-índice de masa corporal (TG- IMC) podrían ser sustitutos. Los objetivos de este trabajo consistieron en investigar en personas con riesgo de desarrollar diabetes tipo 2 (DT2): a) los índices T-G, T-G-CC y T-G-IMC como estimadores de HOMA-IR>2,1; b) determinar su poder discriminante. Se realizó un estudio prospectivo en el que se estudiaron 223 individuos ≥45 años con riesgo de desarrollar diabetes tipo 2 (DT2). La relación T-G se calculó como ln [triglicéridos (mg/dL) x glucemia (mg/dL)/2]. La relación T-G-CC y T-G-IMC fue el producto de T-G por CC o IMC. Se utilizó análisis de regresión logística y se calcularon las áreas bajo las curvas ROC (receiver operating characteristic curves) (ABC) para comparar las asociaciones de T-G, T-G-CC y T-G-IMC con HOMA-IR>2,1. Mediante análisis discriminante se evaluó la clasificación de los sujetos entre HOMA-IR>2,1 y HOMA-IR≤2,1. ABC, sensibilidad, especificidad, poder predictivo positivo y negativo para T-G-CC y T-G-IMC fueron mayores que para T-G, con los siguientes valores de corte: T-G=8,75, T-G-CC=821 y T-G-IMC=255. Los odds ratios (OR) para HOMA-IR>2,1, ajustados para confusores, fueron: T-G>8,75, OR: 4,85 (IC 95% 2,73-8,62); T-G-CC>821, OR: 10,41 (IC 95% 5,55-19,53); T-GIMC> 255, OR: 10,41 (IC 95% 5,55-19,53). Con el análisis discriminante T-G>8,75 clasificó correctamente 69,2% individuos con HOMA-IR≤2,1 y 68,3% con HOMA-IR>2,1; T-G-CC y T-G-IMC clasificaron 74,4% y 78,2% respectivamente (p<0,001 en todos los casos). Se concluyó que T-GCC> 821 y T-G-IMC>255 fueron mejores estimadores de HOMA-IR>2,1 que T-G>8,75. Estas son determinaciones simples y accesibles y podrían ser útiles en la práctica clínica y en estudios epidemiológicos.


HOMA-IR ((homeostasis model assessment-insulin-resistance) is a surrogate estimator of insulin resistance (IR) but it depends on insulin determination. Triglyceride-glucose-waist circumference (T-G-WC) or triglyceride-glucose-body mass index (BMI) (T-G-BMI) could be substitutes. The objectives of this work were: to investigate in people at risk of developing type 2 diabetes (T2D): a) T-G, T-G-CC and T-G-BMI as estimators of HOMA-IR>2.1 and b) to determine their discriminating power. A prospective study was conducted studying 223 individuals ≥45 years of age at risk of developing type 2 diabetes (T2D). The T-G ratio was calculated as ln [triglycerides (mg/dL) x glycemia (mg/dL)/2]. The T-G-CC and T-G-BMI ratio was the product of T-G by CC or BMI. Logistic regression analysis was used and the areas under the receiver operating characteristic curves (ROC) curves were calculated to compare the associations of T-G, T-G-CC and T-G-BMI with HOMA-IR>2.1. Using a discriminant analysis, the classification of the subjects between HOMA-IR>2.1 or HOMA-IR≤2.1 was evaluated. AUC, sensitivity, specificity, positive and negative predictive powers for T-G-CC and T-G-BMI were higher than for T-G, with the following cut-off values: TG=8.75, T-G-CC=821 and T-G-BMI=255. Odds ratios (OR) for HOMA-IR>2.1, adjusted for confounders, were: T-G>8.75, OR 4.85 (95% CI 2.73-8.62); T-G-CC>821, OR 10.41 (95% CI 5.55-19.53); T-G-BMI>255, OR 10.41 (95% CI 5.55-19.53). With the discriminant analysis T-G>8.75, 69.2% correctly classified with HOMA-IR≤2.1 and 68.3% with HOMA-IR>2.1; T-G-CC and T-G-BMI correctly classified 74.4% and 78.2% respectively (p <0.001 in all cases). It is concluded that T-G-CC>821 and T-G-BMI>255 were better estimators of HOMA-IR>2.1 than T-G>8.75. T-G-WC and T-G-BMI are simple and reliable determinations and could be useful in clinical practice and epidemiological studies.


O HOMA-IR (homeostasis model assessment-insulin-resistance) e um estimador de resistencia a insulina (RI), mas depende da determinacao da insulina. Triglicerideos-glicose (T-G), circunferencia da cintura (CC) (T-G-CC) ou triglicerideos-glicose-indice de massa corporal (T-G-IMC) poderiam ser substitutos. Os objetivos desse trabalho foram investigar em pessoas com risco de desenvolver diabetes tipo 2 (DT2): a) os indices T-G, T-G-CC e T-G-IMC como estimadores de HOMA-IR> 2,1; b) determinar seu poder discriminante. Um estudo prospectivo foi realizado em 223 pessoas ≥45 anos com risco de desenvolver diabetes tipo 2 (DT2). A razao T-G foi calculada como ln [triglicerideos (mg/dL) x glicemia (mg/dL)/2]. A razao T-G-CC e T-G-IMC foi o produto de T-G por CC ou IMC. A analise de regressao logistica foi utilizada e as areas sob as curvas ROC (receiver operating features) ABC foram calculadas para comparar as associacoes de T-G, T-G-CC e T-G-IMC com HOMA-IR>2.1. Por meio de analise discriminante, avaliou-se a classificacao dos sujeitos entre HOMA-IR>2,1 e HOMA-IR≤2,1. ABC, sensibilidade, especificidade, poder preditivo positivo e negativo para TG-CC e TG-IMC foram maiores que para TG, com os seguintes valores de corte: TG=8,75, TG-CC=821 e TG-IMC=255. Odds Ratios (OR) para HOMA-IR>2,1, ajustados para fatores de confusao, foram: TG>8,75, OR 4,85 (IC95% 2,73-8,62); T-G-CC>821, OR 10,41 (IC 95% 5,55-19,53); T-G-IMC>255, OR 10,41 (IC 95% 5,55-19,53). Com a analise discriminante T-G>8,75, 69,2% foram classificados corretamente com HOMA-IR≤2,1 e 68,3% com HOMA-IR>2,1; T-G-CC e T-G-IMC classificaram 74,4% e 78,2%, respectivamente (p<0,001 em todos os casos). Conclui-se que T-G-CC>821 e TG- IMC>255 foram melhores estimadores de HOMA-IR>2,1 que T-G>8,75. Elas sao determinacoes simples e acessiveis e poderiam ser uteis na pratica clinica e em estudos epidemiologicos.


Subject(s)
Humans , Triglycerides , Power, Psychological , Epidemiologic Studies , Logistic Models , Odds Ratio , Confounding Factors, Epidemiologic , ROC Curve , Sensitivity and Specificity , Classification , Area Under Curve , Courtship , Diabetes Mellitus, Type 2 , Diabetes Mellitus, Type 2/complications , Glucose , Goals , Insulin , Persons , Organization and Administration , Association , Blood Glucose , Insulin Resistance , Body Mass Index , Discriminant Analysis , Risk , Regression Analysis , Waist Circumference
15.
Int. j. morphol ; 38(2): 367-373, abr. 2020. tab, graf
Article in English | LILACS | ID: biblio-1056449

ABSTRACT

Sexual dimorphism in Homo-sapiens is a phenomenon of a direct product of evolution by natural selection where evolutionary forces acted separately on the sexes which brought about the differences in appearance between male and female such as in shape and size. Advances in morphometrics have skyrocketed the rate of research on sex differences in human and other species. However, the current challenges facing 3D in the acquisition of facial data such as lack of homology, insufficient landmarks to characterize the facial shape and complex computational process for facial point digitization require further study in the domain of sex dimorphism. This study investigates sexual dimorphism in the human face with the application of Automatic Homologous Multi-points Warping (AHMW) for 3D facial landmark by building a template mesh as a reference object which is thereby applied to each of the target mesh on Stirling/ESRC dataset containing 101 subjects (male = 47, female = 54). The semi-landmarks are subjected to sliding along tangents to the curves and surfaces until the bending energy between a template and a target form is minimal. Principal Component Analysis (PCA) is used for feature selection and the features are classified using Linear Discriminant Analysis (LDA) with an accuracy of 99.01 % which demonstrates that the method is robust.


El dimorfismo sexual en el Homo-sapiens es un fenómeno directo de la evolución por selección natural, donde las fuerzas evolutivas actuaron por separado en los sexos, lo que provocó las diferencias en la apariencia entre hombres y mujeres, tal como la forma y tamaño. Los avances en el área de la morfometría, han generado un aumento significativo de las investigaciones en las diferencias de sexo en humanos y otras especies. Sin embargo, los desafíos actuales que enfrenta el 3D en el análisis de datos faciales, como la falta de homología, puntos de referencia insuficientes para caracterizar la forma facial y la complejidad del proceso computacional para la digitalización de puntos faciales, requiere un estudio adicional en el área del dimorfismo sexual. Este estudio investiga el dimorfismo sexual en el rostro humano con la aplicación de la deformación automática de múltiples puntos homólogos para el hito facial 3D, mediante la elaboración de una malla de plantilla como objeto de referencia, y se aplica en cada una de las mallas objetivas en el conjunto de datos Stirling / ESRC que contiene 101 sujetos (hombre = 47, mujer = 54). Los semi-puntos de referencia se deslizan a lo largo de las tangentes a las curvas y superficies hasta que la energía de flexión entre una plantilla y una forma objetivo es mínima. El análisis de componentes principales (PCA) se utiliza para la selección de características y las características se clasifican mediante el análisis discriminante lineal (ADL) con una precisión del 99,01 %, lo que demuestra la validez del método.


Subject(s)
Humans , Male , Female , Sex Characteristics , Connective Tissue/anatomy & histology , Face/anatomy & histology , Discriminant Analysis , Multivariate Analysis , Connective Tissue/diagnostic imaging , Imaging, Three-Dimensional , Face/diagnostic imaging , Anatomic Landmarks
16.
Int. j. morphol ; 38(1): 78-82, Feb. 2020. tab, graf
Article in Spanish | LILACS | ID: biblio-1056401

ABSTRACT

Dentro del espectro de conformación del cráneo, se reconocen generalmente tres amplias categorías que se corresponden con el concepto de biotipo cefálico, determinado por el Índice Cefálico. El Estos tres biotipos cefálicos son: el braquiocefálico, mesaticefálico y dolicocefálico, pero están basados en medidas lineales. A fin de revisar esta clasificación en base a su geometría, se estudiaron 53 cráneos de perros adultos, correspondientes a los tres grupos craneométricos descritos: 16 braquicéfalos, 20 mesaticéfalos y 17 dolicocéfalos. Para ello se obtuvieron fotografías en el plano ventral, en las que posteriormente se ubicaron 17 hitos anatómicos que se analizaron mediante técnicas de morfometría geométrica. De estos hitos, 5 correspondían a la zona neurocraneal y el resto al esplacnocráneo. Los tres grupos craneométricos mostraron diferencias estadísticamente significativas entre ellos tanto por el tamaño como por la forma. Las variables que contribuyeron más a explicar la diferenciación fueron las ubicadas en el margen más lateral de los arcos cigomáticos y en la base de este mismo arco. Las variables esplacnocraneales presentaban una alometría mucho más marcada que las neurocráneos. Puesto que el arco cigomático debe ser considerado como parte del esplacnocráneo, sugerimos que es tan importante el índice cefálico (que tiene en cuenta la máxima anchura de la cabeza) como el facial (que tiene en cuenta la máxima anchura de la cara). La conformación neurocraneal sería mucho más conservativa y por ende el índice craneal, de mucho menor poder discriminatorio entre grupos. El cambio entre tipos se debería a los músculos masetero y temporal, que tienen su inserción en el arco.


Within the wide conformation of skull spectrum, there are generally three recognized broad categories that correspond to the concept of cephalic biotype, determined by the cephalic index. The three cephalic biotypes are: brachiocephalic, mesaticephalic and dolichocephalic, which are based on linear measures. In order to revise this classification based on its geometry, we studied 53 skulls of adult dogs, corresponding to the three craneometric groups previously described: 16 brachycephalic, 20 mesaticephalic and 17 dolichocephalic. Images on ventral plane were obtained and 17 anatomical landmarks were subsequently located and analyzed by means of geometric morphometric techniques. Five of those landmarks corresponded to the neurocraneal area and the rest of the splanchnocranium. The three craneometric groups showed statistically significant differences between them for both size and shape. The variables that contributed to the differentiation between them were located along the edge of the zygomatic arches and on the basis of this arch. Splanchnocranial variables also presented a much more marked allometry than the neurocraneal variables. Since the zygomatic arch should be considered as part of the splanchnocranium, we suggest that the cephalic index (which takes into account the maximum width of the head) is as important as the facial index (which takes into account the maximum width of the face). The neurocraneal index would be much more conservative, and therefore less discriminatory between the groups.


Subject(s)
Animals , Dogs , Skull/anatomy & histology , Cephalometry/methods , Dogs/anatomy & histology , Zygoma/anatomy & histology , Discriminant Analysis , Principal Component Analysis
17.
Braz. arch. biol. technol ; 63(spe): e20190489, 2020. tab, graf
Article in English | LILACS | ID: biblio-1142502

ABSTRACT

Abstract The soil tillage practiced over a long period of time impacts soil quality. The first step in soil quality assessment is to select which indicators should be used. The objective of this study was to identify the soil attributes that discriminate soil tillage systems and can be used as indicators for soil quality assessments. Sixteen soil physical and chemical attributes were evaluated: macroporosity (MaP), microporosity (MiP), total porosity (TP), bulk density (BD), field-saturated hydraulic conductivity (Kfs), soil resistance to penetration (SRP), pH (H2O), pH (CaCl2), aluminium (Al), calcium (Ca), magnesium (Mg), potassium (K), available phosphorus (P), total organic carbon (TOC), cation exchange capacity (CEC) and base saturation (BS), of a very clayey Red Latosol, cultivated for a long period in no-till (NT), conventional tillage (CT) and minimum tillage (MT). The soil attributes (indicators) were selected using canonical discriminant analysis. MiP, Kfs, pH (CaCl2), Ca, Mg, CEC e BS were the most efficient indicators to discriminate soil tillage systems. In the indicator interpretation step was sustained MiP as the indicator that represents the function of physical stability and support, Kfs as the indicator that represents the function of water relations, BS as the indicator that represents the function of nutrient cycling and pH (CaCl2) as the indicator that represents the function of filtering and buffering. These indicators can be used for future soil quality assessment and monitoring of tillage systems in similar regions and conditions.


Subject(s)
Soil Quality , Soil Characteristics/statistics & numerical data , Indicators (Statistics) , Discriminant Analysis , Soil Characteristics/classification , Elements
18.
Article in Chinese | WPRIM | ID: wpr-828424

ABSTRACT

Resin-containing drugs in Dracaena from four different appearances were analyzed by headspace sampling-gas chromatography-mass spectrometry(HS-GC-MS) metabolomics technique and hierarchical clustering analysis(HCA) chemometrics method. This study was to analyze differential volatile components in resin-containing drugs in Dracaena from different appearance and metabolic pathways. The results of partial least squares discriminant analysis(PLS-DA) and HCA analysis indicated that there was little difference in volatile components between fiber-rich sample and hollow cork cambium sample, however, the volatile components in the two samples compared with whole body resin-containing sample and resin-secreting aggregated sample had a large metabolic difference. Twenty differential metabolites were screened by VIP and P values of PLS-DA. The content of these differential metabolites was significantly higher in whole body resin-containing sample and resin-secreting aggregated sample than in fiber-rich sample and hollow cork cambium sample. Sixteen significant metabolic pathways were obtained through enrichment analysis(P<0.05), mainly involved in terpenoids biosynthesis and phenylpropanoid metabolism. This result provided a reference for further study of resin formation mechanism of resin-containing drugs in Dracaena from different appearances. At the same time, it also provided a reference for establishing a multi-index quality evaluation system.


Subject(s)
Cluster Analysis , Discriminant Analysis , Dracaena , Gas Chromatography-Mass Spectrometry , Resins, Plant
19.
Article in Chinese | WPRIM | ID: wpr-827971

ABSTRACT

The purpose of this article is to study the degradation of chemical compositions after the silkworm excrement being expelled from the silkworm, and to determine its main metabolic compositions and their changing relationships. This research is based on UPLC-Q-TOF-MS technology. Based on the systematic analysis of the main chemical compositions contained in silkworm excrement, the principal compositions analysis(PCA) and partial least squares discriminant analysis(OPLS-DA) on commercial silkworm excrement and fresh silkworm excrement were analyzed for differences. The S-plot chart of OPLS-DA was used to select and identify the chemical compositions that contributed significantly to the difference. At the same time, the relative peak areas of the different compositions were extracted by Masslynx to obtain the relative content of different compositions in fresh silkworm excrement. The results showed that there was a significant difference in the chemical compositions between fresh silkworm excrement and commercial silkworm excrement. The difference compositions were mainly flavonoid glycosides and Diels-Alder type composition, and two types of compounds are degradated during the storage of silkworm sand. In this study, the chemical compositions of fresh silkworm excrement were systematically identified and analyzed for the first time by mass spectrometry, and it was found that some chemical compositions of silkworm excrement were degradated with time during storage.


Subject(s)
Animals , Bombyx , Chromatography, High Pressure Liquid , Discriminant Analysis , Drugs, Chinese Herbal , Mass Spectrometry
20.
Rev. cuba. obstet. ginecol ; 45(4): e496, oct.-dic. 2019. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1126710

ABSTRACT

RESUMEN Introducción: La preeclampsia es uno de los síndromes en mujeres embarazadas que afecta al menos 3 - 8 por ciento de todos los embarazos. Objetivo: Desarrollar un modelo predictivo de preeclampsia a partir del estado redox en embarazadas, que clasifique a las mujeres pertenecientes a los grupos de gestantes preeclámpticas y gestantes sanas. Métodos: Se realizó un estudio analítico transversal. Los parámetros bioquímicos y clínicos se evaluaron utilizando el análisis de componentes principales para identificar las variables más influyentes en la aparición de preeclampsia. Los seleccionados como las variables más importantes fueron evaluados por el análisis discriminante lineal de Fisher. Resultados: El análisis de componentes principales determinó la varianza del set de datos, mostrando la relación con los procesos de peroxidación lipídica, metabolismo de proteínas, daño a tejidos y microangiopático, considerados factores en la fisiopatología de la preeclampsia. Las variables más influyentes fueron usadas para modelar una función discriminante capaz de clasificar gestantes sanas y preeclámpticas. El valor de Lambda de Wilks y el alto autovalor asociado a la función discriminante muestran el poder discriminante del modelo. La ecuación obtenida fue validada con el método Leave one out y reveló un excelente poder clasificatorio del mismo. Conclusiones: El modelo predictivo puede ser considerado como apropiado para clasificar los casos de preeclampsia, y muestran a los biomarcadores como buenos candidatos para la clasificación y como potenciales indicadores predictivos de preeclampsia(AU)


ABSTRACT Introduction: Preeclampsia is one of the syndromes in pregnant women that affects at least 3 - 8 percent of all pregnancies. Objective: To develop a predictive model of preeclampsia from the redox state in pregnant women, which allows to classify them in groups of preeclamptic pregnant women and healthy pregnant women. Methods: A cross-sectional analytical study was performed. Biochemical and clinical parameters were evaluated using principal component analysis to identify the most influential variables in the occurrence of preeclampsia. Those selected as the most important variables were evaluated by Fisher's linear discriminant analysis. Results: The main component analysis determined the variance of the data set, showing the relationship with lipid peroxidation processes, protein metabolism, tissue damage and microangiopathy, considered factors in the pathophysiology of preeclampsia. The most influential variables were used to model a discriminant function capable of classifying healthy and preeclamptic pregnant women. Wilks Lambda value and the high eigenvalue associated with the discriminant function show the discriminant power of the model. The equation obtained was validated with the Leave one out method and revealed excellent classifying power. Conclusions: The predictive model can be considered as appropriate to classify pre-eclampsia cases, and to show biomarkers as good candidates for classification and as potential predictive indicators of pre-eclampsia(AU)


Subject(s)
Humans , Female , Pregnancy , Pre-Eclampsia/diagnosis , Discriminant Analysis , Lipid Peroxidation , Cross-Sectional Studies
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