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1.
Article in English | WPRIM | ID: wpr-922567

ABSTRACT

OBJECTIVE@#To compare the safety differences between Chinese medicine (CM) and Western medicine (WM) based on Chinese Spontaneous Reporting Database (CSRD).@*METHODS@#Reports of adverse events (AEs) caused by CM and WM in the CSRD between 2010 and 2011 were selected. The following assessment indicators were constructed: the proportion of serious AEs (PSE), the average number of AEs (ANA), and the coverage rate of AEs (CRA). Further comparisons were also conducted, including the drugs with the most reported serious AEs, the AEs with the biggest report number, and the 5 serious AEs of interest (including death, anaphylactic shock, coma, dyspnea and abnormal liver function).@*RESULTS@#The PSE, ANA and CRA of WM were 1.09, 8.23 and 2.35 times higher than those of CM, respectively. The top 10 drugs with the most serious AEs were mainly injections for CM and antibiotics for WM. The AEs with the most reports were rash, pruritus, nausea, dizziness and vomiting for both CM and WM. The proportions of CM and WM in anaphylactic shock and coma were similar. For abnormal liver function and death, the proportions of WM were 5.47 and 3.00 times higher than those of CM, respectively.@*CONCLUSION@#Based on CSRD, CM was safer than WM at the average level from the perspective of adverse drug reactions.


Subject(s)
China , Drug-Related Side Effects and Adverse Reactions/epidemiology , Humans , Injections , Medicine, Chinese Traditional
2.
Article in Chinese | WPRIM | ID: wpr-920658

ABSTRACT

@#Topical preparations for skin, including the commonly used dosage forms of ointments, creams, gels, patches and plasters, are convenient and can avoid the first-pass effect of drugs.Rheological study, which describes the flow characteristics and mechanical properties of products relevant to their Critical Quality Attributes, has become the main focus for topical preparations.Liquid and solid behaviors of products are usually investigated via steady rheology as well as dynamic rheology.This article reviews the research on topical preparations for skin and the data analysis models based on two rheological methods, aiming to provide some references for the rheological evaluation of topical preparations.

3.
Rev. lasallista investig ; 18(2): 58-68, jul.-dic. 2021. graf
Article in Spanish | LILACS-Express | LILACS | ID: biblio-1365850

ABSTRACT

Resumen Introducción: El interés por la ciencia de datos a tenido un aumento en los últimos años, motivado principalmente por el uso recurrente de conceptos como cuarta revolución industrial o Big Data, los escenarios de aplicación de la ciencia de datos son amplios, sin embargo, la literatura especializada reporta pocas aplicaciones en el sector público, especialmente como herramienta para la toma de decisiones. Objetivo: Proponer un esquema de flujo de datos orientado al sector público para el apoyo en la toma de decisiones. Materiales y Métodos: El trabajo se suscribió a una metodología de tipo cualitativo y de enfoque descriptivo; considerando una ruta de tres momentos: (1) rastreo documental, (2) focalización y análisis, y (3) definición de dimensiones y diseño de esquema. Resultados: Se propone un esquema de flujo de datos, compuesto por cuatro dimensiones: datos masivos, gestión de datos, gestión de la información y toma de decisiones. Conclusiones.: El esquema propuesto se configura como una herramienta con la cual el sector público puede pasar de un flujo de datos no estructurados a un esquema secuencial que permite la generación de información útil, favoreciendo los procesos de toma de decisiones.


Abstract Introduction: The application scenarios of data science are wide, but the specialized literature reports few applications in the public sector, particularly as a decision-making tool. Interest in data science has increased in recent years, primarily motivated by the recurrent use of concepts such as the fourth industrial revolution or Big Data. Objective: Propose a data flow scheme for the public sector to aid decision-making. Materials and methods: The work followed a qualitative and descriptive approach methodology, with three stages: (1) documentary tracking, (2) targeting and analysis, and (3) dimension definition and schema design. Results: A data flow scheme with four dimensions is proposed: Big Data, data management, information management, and decision making. Conclusions: The proposed scheme is designed as a tool to help the public sector transition from an unstructured data flow to a sequential scheme that allows the generation of useful information, thereby facilitating decision-making processes.


Resumo Introdução: O interesse pela ciência de dados tem aumentado nos últimos anos, principalmente motivado pelo uso recorrente de conceitos como a quarta revolução industrial ou Big Data, os cenários de aplicação da ciência de dados são amplos, porém, a literatura especializada relata poucas aplicações no setor público, especialmente como uma ferramenta de tomada de decisão. Objetivo: Propor um esquema de fluxo de dados voltado para o setor público para apoiar a tomada de decisão. Materiais e métodos: O trabalho subscreveu uma metodologia de abordagem qualitativa e descritiva; considerando uma rota de três momentos: (1) rastreamento documental, (2) direcionamento e análise, e (3) definição das dimensões e desenho do esquema. Resultados: É proposto um esquema de fluxo de dados, composto por quatro dimensões: captura massiva de dados, gerenciamento de dados, gerenciamento de informações e tomada de decisão. Conclusões: O esquema proposto configura-se cómo uma ferramenta com a qual o setor público pode passar de um fluxo de dados não estruturados a um esquema sequencial que permite a geração de informações úteis, favorecendo os processos de tomada de decisão.

4.
Medicina (B.Aires) ; 81(5): 688-694, oct. 2021. graf
Article in Spanish | LILACS | ID: biblio-1351039

ABSTRACT

Resumen El objetivo de este estudio fue revelar cómo el COVID-19 afectó el número de visitas a un servicio de urgencias de un hospital de alta complejidad ubicado en la Ciudad Autónoma de Buenos Aires, explorar las características y los motivos de consulta. Se analizó el número mensual entre enero 2019 y diciem bre 2020. Los datos mostraron una fuerte disminución en el número de visitas (176 370 en 2019 y 95 421 en 2020), con una caída abrupta luego de disposición aislamiento social, preventivo y obligatorio (el mes de abril arrojó el máximo valor de reducción: 77.1%), y se reflejan las diferentes etapas evolutivas (consecuencia de la cuarentena), arrojando una reducción global anual del 45.9%. Sin embargo, aumentó el número de pacientes que ingresaron en ambulancias (5.1% en 2019 a 10.4% en 2020; p < 0.05), y, en consecuencia, los pacientes del sector de mayor complejidad (área B 2019: 5.3%, 2020: 11.5%; p < 0.01), y las hospitalizaciones no progra madas de 6.8% (IC95% 6.7-6.9) a 12.1% en 2020 (IC95% 11.8-12.3), p < 0.01. Los cinco motivos de consulta más frecuentes durante 2020 resultaron: fiebre (5.1%), odinofagia (4.7%), dolor abdominal (2.6%), tos (1.8%) y cefalea (1.8%), probablemente todos relacionados a COVID-19. En conclusión, se redujo a la mitad el número de visitas a urgencias en comparación con el año previo.


Abstract The objective of this study was to reveal how the COVID-19 pandemic process affected the number of visits to an emergency department of a highly complex hospital located in the Ciudad Autónoma de Buenos Aires, to explore the char acteristics and reasons for consultation. The monthly number of visits between January 2019 and December 2020 was analyzed. The data showed a strong decrease in the number of visits (176 370 in 2019 and 95 421 in 2020), with an abrupt drop after the lockdown disposal (In aprilshowed the maximum reduction: 77.1%), and the different stages are reflected in the evolution (a consequence of quarantine), yielding a global annual reduc tion of 45.9%. The number of patients admitted by ambulances increased (5.1% in 2019 to 10.4% in 2020; p < 0.05), and consequently, the number of patients in the more complex sector (area B 2019: 5.3%, 2020: 11.5%; p < 0.01), as well as unscheduled hospitalizations from 6.8% (95% CI 6.7-6.9) to 12.1% in 2020 (95%CI11.8- 12.3), p < 0.01. The five most frequent reasons for consultation in 2020 were: fever (5.1%), odynophagia (4.7%), abdominal pain (2.6%), cough (1.8%) and headache (1.8%), probably all related to COVID-19. In conclusion, the number of emergency department visits decreased by half compared to the previous year.


Subject(s)
Humans , Pandemics , COVID-19 , Argentina/epidemiology , Communicable Disease Control , Emergency Service, Hospital , SARS-CoV-2
5.
Vaccimonitor (La Habana, Print) ; 30(2)mayo.-ago. 2021. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1252325

ABSTRACT

El uso de anticuerpos monoclonales en la lucha contra el cáncer se convierte cada día más en la terapia de elección. Para la introducción de anticuerpos monoclonales en mercados internacionales de alta demanda y con elevados requerimientos de calidad se requiere su producción a gran escala. El incremento de la presencia de dímeros en el producto final afecta su calidad y, por tanto, la eficiencia y eficacia del proceso. El objetivo del presente trabajo fue obtener un modelo matemático que permita relacionar el porcentaje de dímeros con las variables de operación de mayor influencia. Se realizó el ajuste de un modelo de regresión lineal múltiple usando el programa Statgraphics Centurion XVII versión 17.2.00. El modelo se validó con lotes de producción, logrando errores relativos inferiores al 20 por ciento. Las variables significativas obtenidas fueron: masa de IgG en el sobrenadante; masa de IgG en el producto de salida del paso de captura de proteína A; pH en el producto de salida del paso de captura de proteína A; pH del producto ajustado y conductividad de salida en la membrana de intercambio aniónico. El modelo permitió encontrar un intervalo de trabajo de las variables de mayor influencia en la formación de dímeros para reducirlos hasta valores inferiores al 3 por ciento(AU)


The use of monoclonal antibodies in the fight against cancer is becoming more and more the selected therapy. The introduction of monoclonal antibodies highly demanded in international markets, with high quality requirements needs the production of monoclonal antibodies on a large scale. The increase of dimers in the final product affects its quality, therefore, the efficiency and effectiveness of the process. The objective of this work was to obtain a mathematical model to relate the percentage of dimers with the most influential operating variables. A multiple linear regression model was obtained using Statgraphics Centurion XVII version 17.2.00 software. The model was validated with new production data with a mean error of validation below 20 percent. The significant variables were: supernatant IgG mass; IgG mass in the effluent from Protein A capture column; pH of the effluent from Protein A capture column; pH of the adjusted product and conductivity of the effluent from anionic exchange membrane. A working interval for each of the influential variables were established, in order to reduce dimers below 3 percent(AU)


Subject(s)
Humans , Mathematical Computing , Data Analysis , Antibodies, Monoclonal/immunology , Neoplasms/mortality , Cuba
6.
Suma psicol ; 28(1): 52-61, Jan.-June 2021. tab
Article in Spanish | LILACS, COLNAL | ID: biblio-1280695

ABSTRACT

Resumen Introducción: Se diseñó y validó un instrumento de evaluación de trauma psicosocial en víctimas de desplazamiento forzado asociado al conflicto armado en Colombia, denominado TPS-6. Método: el estudio fue instrumental. El plan de prueba, los ítems y la escala de valoración fueron evaluados por siete expertos, con quienes se realizó la validez de contenido. El instrumento se aplicó a 200 personas, víctimas y no víctimas. El ajuste de los ítems se analizó con el modelo de Rasch de la teoría de respuesta al ítem. Para obtener la evidencia de validez de constructo se realizó el análisis factorial exploratorio. La validez convergente se comprobó a través del análisis correlacional con la Escala Diagnóstica de Estrés Postraumático y las Escalas de Afecto Positivo y Negativo. La fiabilidad del instrumento fue hallada a través de los coeficientes alfa de Cronbach y omega. Resultados: teniendo en cuenta los análisis psicométricos realizados, la prueba quedó con 26 ítems que conforman seis factores. La prueba cumple con los requerimientos psicométricos para evaluar trauma psicosocial. Conclusiones: este instrumento es un aporte para la evaluación forense del daño psicosocial.


Abstract Introduction: An instrument for evaluating psychosocial trauma in victims of forced displacement associated with the armed conflict in Colombia was designed and validated, named TPS-6. Method: The study was instrumental, the test plan, the items and the assessment scale were evaluated by seven experts, with whom the content validity was performed. The instrument was applied to 200 people, victims and non-victims. The adjustment of the items was analyzed with the Rasch model of the item response theory. To obtain the evidence of construct validity, the exploratory factor analysis was performed. The convergent validity was verified through the correlational analysis with the Diagnostic Scale of Post-traumatic Stress and the Scales of Positive and Negative Affect (PANAS). The reliability of the instrument was found through Cronbach's alpha and omega coefficients. Results: Taking into account the psychometric analyzes carried out, the test was left with 26 items that make up six factors and, the test meets the psychometric requirements to evaluate psychosocial trauma. Conclusions: This instrument is a contribution for the forensic evaluation of psychosocial damage.


Subject(s)
Violence , Psychological Trauma , Psychometrics , Adaptation, Psychological , Human Migration , Data Analysis
7.
Dement. neuropsychol ; 15(1): 28-40, Jan.-Mar. 2021. tab, graf
Article in English | LILACS | ID: biblio-1286181

ABSTRACT

ABSTRACT. Many studies have found that non-pharmacological interventions, such as cognitive stimulation (CS), can benefit people with dementia (PWD) or with mild cognitive impairment (MCI). The use of the computerized cognitive stimulation (CCS) had proven to be an ally to those who want to detect and mitigate this disease. Objective: The purpose of this paper was to analyze the scientific production in CCS in PWD or with MCI in journals indexed in Clarivate Analytics' Web of Science and Elsevier's Scopus since 2000. Methods: Data collected from Web of Science and Scopus during 2000-2019. Results: The data show that dementia research is exponentially developing following the evolution of widespread use of computer science. As such, this article was of enormous importance doing a bibliometric analysis of what has been done in the area since the beginning of this century. The search terms identified 61 papers related to the use of computers applied to CS in PWD or MCI, and the International Journal of Geriatric Psychiatry and Journal of Alzheimer's Disease had the largest number of publications. The most cited article was the Faucounau et colleagues. Major research' countries are United Kingdom, Spain and United States. Conclusions: The findings in these papers were analysed to find recommendations for future work in this area. The CCS has been increasingly used as an intervention tool for PWD or MCI, and there still seems to be a possibility for evolution in good quality publications.


RESUMO. Muitos estudos têm demonstrado que as intervenções não farmacológicas, como a estimulação cognitiva (EC), podem beneficiar pessoas com demência (PCD) ou com declínio cognitivo ligeiro (DCL). O uso da estimulação cognitiva computadorizada (ECC) tem mostrado ser um meio para detetar e mitigar essa doença. Objetivo: O objetivo do presente artigo foi analisar a produção científica em ECC em PCD ou com DCL publicada em revistas indexadas na Web of Science da Clarivate Analytics e na Scopus da Elsevier desde 2000. Métodos: Os dados foram coletados na Web of Science e Scopus relativamente aos anos 2000-2019. Resultados: Os dados mostram que a pesquisa em demência está se desenvolvendo exponencialmente, acompanhando a evolução do uso generalizado da ciência da computação. Dessa forma, o estudo foi de enorme importância para uma análise bibliométrica do que tem sido feito na área desde o início deste século. Os termos de pesquisa identificaram 61 artigos relacionados ao uso de computadores aplicados à EC em PCD ou DCL, e ambos os periódicos International Journal of Geriatric Psychiatry e Journal of Alzheimer's Disease tiveram o maior número de publicações. O artigo mais citado foi o de Faucounau et al. Os principais países de pesquisa foram Reino Unido, Espanha e Estados Unidos. Conclusões: Os resultados desses artigos foram analisados de forma a possibilitar encontrar recomendações para trabalhos futuros nessa área. A ECC tem sido cada vez mais utilizada como ferramenta nas intervenções para PCD e DCL, e ainda parece haver possibilidade de evolução em publicações de boa qualidade.


Subject(s)
Humans , Dementia , Computers , Bibliometrics , Deep Brain Stimulation , Data Analysis
8.
Chinese Journal of Endemiology ; (12): 656-659, 2021.
Article in Chinese | WPRIM | ID: wpr-909072

ABSTRACT

Objective:To understand the epidemiological characteristics of human brucellosis in Yantai City, Shandong Province, and to provide scientific basis for the formulation and adjustment of brucellosis prevention and control strategy.Methods:The epidemic data, demographic data and case data of human brucellosis in Yantai City in 2019 were collected from the National Health Insurance Disease Control Information System and the epidemiological case survey of brucellosis in Shandong Province. Descriptive epidemiological method was used to analyze the three distribution characteristics, clinical characteristics and infection routes of brucellosis.Results:In 2019, 158 cases of brucellosis were reported in Yantai City, with an incidence rate of 2.22/100 000 and no deaths. The incidence peak was from April to June, accounting for 43.67% (69/158). In addition to Changdao County, 12 other cities and districts had reported brucellosis cases, and Laizhou City had the largest number of reported cases, accounting for 39.87% (63/158). The ratio of men to women was 2.1 ∶ 1.0 (107 ∶ 51). The age of onset was mainly 40 - 69 years (75.95%, 120/158). Farmer was the main occupation, accounting for 83.54% (132/158). The main clinical manifestations were fever (114 cases), muscle and joint pain (107 cases), fatigue (95 cases), hyperhidrosis (85 cases). Patients had a clear history of livestock contact accounted for 58.86% (93/158). The main contact ways were breeding (68 cases) and slaughter (26 cases). Protective measures were taken in 18.28% (17/93) of the patients, and wearing gloves was the most common protective measure, accounting for 76.47% (13/17). The rate of hand washing after contact was 91.40% (85/93), of which 37.65% (32/85) were washed only with water and 62.35% (53/85) were washed with soap. The percentage of changing laundry after contact was 82.80% (77/93).Conclusions:The awareness and ability of personal protection of brucellosis key population in Yantai City are low. Improving the effectiveness of health education and behavior intervention is an important measure for prevention and control of the disease in the future.

9.
Journal of Medical Biomechanics ; (6): E984-E989, 2021.
Article in Chinese | WPRIM | ID: wpr-920714

ABSTRACT

Objective To study the research progress of big data analysis in gait biomechanics. Methods Based on the scientific and technological literature related to big data analysis in gait biomechanics during the year 2011-2020 as the research object, content analysis method was used to analyze and discuss from four aspects, including topic structure, hierarchy level, model type and analysis technology. On this basis, the future research of gait biomechanics big data analysis was prospected. Results The application of big data analysis in gait biomechanics mainly involves five research directions, namely, intervention and rehabilitation, exercise training, prosthesis design and evaluation, understanding of etiology and diagnosis, understanding of human movement characteristics. Big data analysis in gait biomechanics is divided into three levels, of which descriptive analysis is the most used type, accounting for about 41%. The models and specific techniques of big data analysis in gait biomechanics field were reviewed. Topological data analysis is a promising big data exploration tool for future research. Conclusions Big data technology has great potential in gait biomechanics and clinical medicine research.

10.
Article in English | WPRIM | ID: wpr-880335

ABSTRACT

BACKGROUND@#Little is known on how context-specific sedentary behaviors (SB) affect adiposity. This study aimed to investigate compositional associations between context-specific SB and adiposity and estimate the differences in adiposity associated with replacing school and out-of-school SB with physical activity (PA).@*METHODS@#This study included 336 children and adolescents. Time spent in SB and PA was estimated using multi-day 24-hour raw accelerometer data. SB and PA were specified for school and out-of-school times. Fat mass percentage (FM%) and fat mass index (FMI) were used as adiposity indicators. A compositional isotemporal substitution model was used to estimate differences in adiposity associated with one-to-one reallocations of time from context-specific SB to PA.@*RESULTS@#Participants spent approximately two thirds of their school and out-of-school time being sedentary. Relative to the remaining 24-h movement behaviors, significant associations between out-of-school SB and adiposity were found in both boys (β@*CONCLUSIONS@#A reduction of out-of-school SB in favor of light PA should be advocated as an appropriate target for interventions and strategies to prevent childhood obesity.


Subject(s)
Accelerometry , Adiposity , Adolescent , Child , Czech Republic , Exercise , Female , Humans , Male , Schools , Sedentary Behavior
11.
Braz. arch. biol. technol ; 64(spe): e21200734, 2021. tab, graf
Article in English | LILACS | ID: biblio-1285561

ABSTRACT

Abstract The State of Paraná stands out in Brazil for its hydraulic potential for electricity generation. Furthermore, the State also shows potential for the use of other sources of energy, such as solar energy, biogas and biomass. The study traces the profile of electric energy consumption and compiles analysis of the alternative energy potentials of Paraná on the use of solar energy, the biomass of forest residues and agricultural crops, the generation of biogas through the residues of farmed animals and the urban solids residues. The work took account for the estimates, the logistical limitations for the biomass or biogas collection and the real availability of the wastes in terms of viability of exploration through distributed generation plants. The use of the business analytics software Tableau Desktop 2020.3.2® made possible the open data analysis at the municipal level. The paper provides realistic estimates about the feasibility of the use of alternative energy sources in the State of Paraná.


Subject(s)
Energy-Generating Resources , Renewable Energy , Brazil , Data Analysis
12.
Article in English | LILACS-Express | LILACS | ID: biblio-1180903

ABSTRACT

Abstract The aim of the current study was to analyze players' interactions in serve and serve return situations and examine the way points were decided due to players' positions and surfaces. Fourteen ATP 1000 tournament matches were analyzed (7 on hard surface; 7 on clay surface). The type of surface did not affect the way points ended (χ²=9.26; p > 0.05) but did influence serve return vertical positioning (χ²=270.86; p < 0.001). The return positioning, both lateral (χ²=92.68; p < 0.001 on deuce side - χ² = 78.98; p < 0.001 on advantage side) and vertical (χ²=33.59; p < 0.001), and the type of serve (χ²=45.13; p < 0.001) affected the way points were decided. The results from the present study suggest that tennis players should use, or at least seek, strategies based on aggressiveness and consistency of the 1st serve and also indicate that in the 2nd serve return, players are more offensive, and that on hard surfaces, players stand a few steps inside the court to return the serve, differently from clay surfaces. It recommended that serve returns should combine aggression, by inside the court positioning, and accuracy.


Resumo O objetivo do presente estudo foi analisar as interações dos jogadores em situações de saque e retorno de saque e examinar como os pontos foram decididos em função do posicionamento em quadra e dos tipos de superfície. Quatorze partidas do torneio ATP 1000 foram analisadas (7 em superfície dura; 7 em superfície de saibro). O tipo de piso não influenciou a forma como os pontos são definidos (χ²=9,26; p > 0,05), mas apresentou efeito sobre o posicionamento vertical na devolução de saque (χ²=270,86; p < 0.001). O posicionamento na devolução de saque, tanto vertical como lateral (no lado de iguais χ² = 92,68; p < 0,001 e no lado da vantagem χ²=78,98; p < 0,001), e o tipo de saque (χ²=45,13; p < 0.001) afetaram a forma como os pontos foram definidos. Os resultados do presente estudo sugerem que os tenistas devem usar, ou pelo menos buscar, estratégias de jogo baseadas na agressividade e consistência do 1º saque. Os resultados também indicam que na devolução do 2º saque os jogadores são mais ofensivos, e que nas superfícies duras os jogadores ficam alguns passos dentro da quadra para devolver o saque, diferentemente das superfícies de saibro. Recomenda-se que devoluções de saque combinem agressividade, por posicionamento dentro da quadra, e acurácia.

13.
Rev. MVZ Córdoba ; 25(3): 37-45, sep.-dic. 2020. tab, graf
Article in Spanish | LILACS | ID: biblio-1347064

ABSTRACT

RESUMEN Objetivo. Utilizar los sistemas de información geográfica (SIG) como herramienta complementaria para caracterizar la ganadería bovina realizada en la región de la Orinoquia. Materiales y métodos. A través del uso de tecnologías espaciales se recopiló la información concerniente a la orientación ganadera, fisiografía, cobertura vegetal y catastro de la zona de estudio para su posterior análisis a través del software ACCESS de Microsoft. Resultados. En un alto porcentaje de los predios ganaderos ubicados en los cuatro departamentos de la Orinoquía (Casanare:72.7%, Meta:49.5%, Arauca:42% y Vichada:32%) predominan las coberturas de pastos, herbazales y vegetación secundaria, confirmando la expansión en la frontera agropecuaria que es promovida por la actividad ganadera en el país. Conclusiones. El uso de los SIG, permite realizar una mejor planificación y distribución eficiente de los recursos destinados a mejorar el funcionamiento de los sistemas de producción. Por ejemplo, en zonas donde la matriz de coberturas predominante son los pastizales y herbazales, las estrategias en pro de la sostenibilidad pueden enfocarse en la implementación de sistemas silvopastoriles, contrario a lo que pasaría en zonas donde la matriz de coberturas tenga un alto porcentaje de bosques naturales.


ABSTRACT Objective. Use Geographic Information Systems (GIS) as a complementary tool to characterize cattle farming in the Orinoquia region. Materials and methods. Through the use of space technologys, information concerning the livestock orientation, physiography, vegetation cover and land registry of the study zone was collected for further analysis over Microsoft ACCESS software. Results. In a high percentage of the cattle ranches located in the four departments (Casanare: 72.7%, Meta: 49.5%, Arauca: 42% and Vichada: 32%) the cover of pastures, grasslands and secondary vegetation predominates, confirming the expansion in the agricultural border that has had the cattle activity in the country. Conclusions. The use of complementary tools such as GIS allows for better planning and efficient distribution of resources to improve the functioning of production systems, for example, in zones where the predominant coverage matrix is grasslands, strategies in pro of sustainability can focus on the implementation of silvopastoral systems, contrary to what would happen in areas where the matrix has a high percentage of natural forests.


Subject(s)
Animals , Cattle , Geographic Information Systems , Data Analysis , Animal Husbandry
14.
Vaccimonitor (La Habana, Print) ; 29(3)sept.-dic. 2020. tab, graf
Article in Spanish | LILACS, CUMED | ID: biblio-1139854

ABSTRACT

El producto Nimotuzumab, altamente demandado para el tratamiento de cáncer de cabeza y cuello, se produce en el Centro de Inmunología Molecular a partir del cultivo, fermentación y purificación en la línea NS0/H7. El uso de tecnologías adecuadas para la producción a gran escala de anticuerpos monoclonales, de acuerdo con las buenas prácticas de manufactura y con costos de producción razonables, se convierte en una necesidad para introducir anticuerpos terapéuticos en mercados de alta demanda y con elevados requerimientos de calidad. El incremento en la presencia de dímeros en el producto final afecta su calidad, por ende, la eficiencia y eficacia del proceso. Se utilizaron las bases de datos del centro para realizar un análisis de componentes principales, empleando el programa The Unscrambler 10.4 y se determinaron como variables más influyentes en la variabilidad de los resultados: las conductividades del producto ajustado y de salida en la columna de proteína A y membrana SQ y la masa de IgG en sobrenadante y eluato de proteína. Se realizó un análisis de Pareto para determinar los parámetros críticos del proceso, resultando ser: el pH de los tampones de elución y ajuste, del producto ajustado, de la salida en proteína y membrana, la masa de IgG en eluato de proteína y sobrenadante, y la conductividad del producto ajustado(AU)


ABSTRACT Nimotuzumab is produced at the Center of Molecular Immunology (CIM). It is obtained from the culture, fermentation, and purification in the cell line NS0/H7. This product has a high demand both domestically and internationally for the treatment of head and neck cancer. The use of adequate technologies for the large-scale production of this product following good manufacturing practices and reasonable production costs becomes a necessity to introduce this therapeutic antibody in high demand markets with high-quality requirements. The increase in dimers in the final product will affect its quality, which in turn affects the efficiency and effectiveness of the process. Production databases were used to perform principal component analysis using The Unscrambler 10.4 software. The conductivity of the adjusted product, pH at the output product in the protein column and membrane, the mass of supernatant, and of the eluate are detected as the variables with a higher influence on aggregate formation. The Pareto analysis was carried out to determine the critical parameters of the process: pH of elution and adjust buffers, and adjusted products, pH at the exit of protein column and membrane, the mass of protein in the eluate, and in the supernatant, and the conductivity of the adjusted product(AU)


Subject(s)
Humans , Reference Drugs , Head and Neck Neoplasms/diagnosis , Antibodies, Monoclonal
15.
Int. j. morphol ; 38(5): 1317-1324, oct. 2020. tab
Article in English | LILACS | ID: biblio-1134442

ABSTRACT

SUMMARY: Statistical testing methods are essential tools to measure and analyze the data obtained through research in dental morphology. This descriptive study analyzes the different statistical testing methods in order to suggest its appropriate use and manage in the interpretation and analysis of quantitative and/or qualitative data of dentistry investigations. The knowledge obtained through this study could orient students and/or interested professionals to decide, with theoretical basis, which one to use in the development of their research.


RESUMEN: Los métodos de pruebas estadísticas son herramientas esenciales para medir y analizar los datos obtenidos a través de la investigación en morfología dental. Este estudio descriptivo analiza los diferentes métodos de pruebas estadísticas con el fin de sugerir su uso apropiado y gestionarlo en la interpretación y análisis de datos cuantitativos y / o cualitativos de las investigaciones odontológicas. El conocimiento obtenido a través de este estudio podría orientar a los estudiantes y / o profesionales interesados a decidir, con base teórica, cuál utilizar en el desarrollo de su investigación.


Subject(s)
Humans , Tooth/anatomy & histology , Data Interpretation, Statistical , Cross-Sectional Studies , Statistics as Topic , Dentistry , Data Analysis
16.
Rev. colomb. cancerol ; 24(2): 80-87, abr.-jun. 2020. tab, graf
Article in Spanish | LILACS | ID: biblio-1144324

ABSTRACT

Resumen Objetivo: Describir las características sociodemográficas y clínicas de los pacientes adultos con diagnóstico de cáncer atendidos en el Hospital Universitario San José (HUSJ) de Popayán, Colombia. Métodos: Estudio observacional con datos rutinarios de cáncer que incluyó pacientes mayores de 18 años atendidos entre 2012 y 2017 en los servicios de urgencias y hospitalización con diagnóstico de cáncer, según el Manual CIE 10 (Clasificación Internacional de Enfermedades, décima versión) en el HUSJ. Se aplicó una estrategia de muestreo aleatorio simple con afijación proporcional por años y se analizaron de forma descriptiva y gráfica. Resultados: Se incluyeron 245 pacientes. El 51% de los cuales correspondió al género femenino y la mediana de edad fue de 64 años. El cáncer más frecuente en ambos sexos fue el de estómago, seguido por el cáncer de ovario y cérvix en mujeres y por el cáncer de próstata, de tejido sanguíneo y de médula ósea en hombres. Los tipos histológicos de cáncer registrados en la mayoría de los pacientes fueron los carcinomas y adenocarcinomas. En el 36,7% de los pacientes se documentó la presencia de metástasis. La mortalidad durante la última hospitalización fue del 20% y el 12% de los pacientes requirieron remisión a otro nivel de atención superior. Conclusión: Los resultados de este estudio muestran similitudes con el comportamiento de la enfermedad en el país, con excepción del cáncer ginecológico. Adicionalmente, aporta información valiosa tanto a nivel regional como a la institución y crea conciencia de la necesidad de la implementación y mantenimiento de registros hospitalarios de cáncer.


Abstract Objective: To describe the socio-demographic and clinical characteristics of adult cancer patients who received treatment at the San José University Hospital (HUSJ) in Popayán, Colombia. Methods: Observational study with routine cancer data, which included patients aged over 18 years, who received treatment between 2012 and 2017 in the emergency and hospitalization departments, with cancer diagnosis according to the ICD Manual 10 (International Statistical Classification of Diseases, tenth revision) in the HUSJ. It was applied a simple random sampling strategy, with proportional allocation by years, and they were analyzed descriptively and graphically. Results: 245 patients were included, 51% of which corresponded to female gender; median age, 64 years. The most frequent cancer in both sexes was stomach cancer, followed by ovary cancer and cervix cancer in women; and cancer of the prostate, blood tissue, and bone marrow in men. The histological types of cancer registered in most of the patients were carcinomas and adenocarcinomas. The presence of metastases was documented in 36.7% of the patients. The mortality during the last hospitalization was 20%; and 12% of patients required referral to another higher level of care. Conclusion: The results of this study show similarities with the behavior of the disease in the country, with the exception of gynecological cancer. Additionally, it provides valuable information both regionally and at institution level, as well as it raises awareness of the need for the implementation and maintenance of hospital cancer records.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Young Adult , Standard of Care , Hospitals, University , Neoplasms/epidemiology , Colombia/epidemiology
17.
Article in Chinese | WPRIM | ID: wpr-861551

ABSTRACT

Owing to the developments in cell biology and other related disciplines, basic oncological research has progressed. There has been a gradual increase in the quantity and quality of research applications for oncology. This paper provided an overview of the applications and fundings (General Program, Youth Program and Regional Program) for clinical oncology of the National Natural Science Foundation of China in 2019, analyzed the research directions of the General Program from different perspectives and discussed representative research directions including non- coding RNA, immunotherapy, microenvironment, metabolism, as well as frontiers such as lymphangiogenesis, pyroptosis and ferroptosis, lysosome and mitochondrion in the field of clinical oncology.

18.
Article in Chinese | WPRIM | ID: wpr-847522

ABSTRACT

BACKGROUND: Platelet-rich plasma has been shown to promote tissue repair and regeneration. OBJECTIVE: To evaluate the current status and hotspot of platelet-rich plasma globally by bibliometrics. METHODS: In the database of web of science, “platelet rich plasma” was used as keyword to research relevant researches published before December 25, 2018. The retrieved articles were indexed and analyzed according to country/region, institution, publication year, and publication name. Excel 2007 was used for descriptive statistics. VOS viewer (Leiden University, Netherlands) software was used to analyze and draw all the retrieved items. The main evaluation indicators were co-occurrence relationship, mutual citation relationship, co-citation relationship, and cooperation relationship map. RESULTS AND CONCLUSION: (1) Totally 8 499 studies on platelet-rich plasma were retrieved, and the number and citations increased gradually. (2) Number of studies on platelet-rich plasma ranked top 3 countries are the United States, Italy, and Japan. (3) The subject direction and research fields of platelet-rich plasma mainly involve five aspects: basic research on growth factor function, research on bone regeneration, clinical research in cartilage or osteoarthritis, platelet function research, and stem cells. (4) The analysis results based on big data suggest that platelet-rich plasma is mainly applied in orthopedics, especially cartilage regeneration and osteoarthritis, which will be the focus of future research and technology investment.

19.
China Pharmacy ; (12): 2966-2973, 2020.
Article in Chinese | WPRIM | ID: wpr-843074

ABSTRACT

OBJECTIVE:To estab lish“TCM Data Analysis Platform Based on Strategy Pattern ”(TCMDP),and to analyze the medication rules of TCM prescription against primary hepatic carcinoma (PHC),so as to provide reference for TCM prescription screening. METHODS :According to the idea of strategy pattern ,TCMDP software was developed ,and the frequency statistics,association,clustering,classification and other methods and the different algorithms covered were encapsulated. Effective TCM prescriptions against PHC were collected and screened from 4 tertiary-grade class-A hospitals in Nanchang city and CNKI , PubMed. A database of prescriptions for PHC (PDOPHC)was established ,and TCM prescriptions in the data base were put into TCMDP. Clustering algorithm modified by CMC-DD ,modified WD-Get Rules algorithm after merging depth and width search and frequency statistics were used to analyze the distribution of prescription syndrome. Taking phlegm-blood stasis syndrome type (TYPHC)as example ,data mining was carried out on drug efficacy category ,four properties ,five flavors and channel tropism , drug property combination ,key couplet medicines and key drug combination. RESULTS :A total of 907 TCM prescriptions against PHC were collected ,mainly involving 10 syndrome types ,such as phlegm-blood stasis syndrome ,deficiency of the vital essential and blood stasis syndrome and liver and spleen blood stasis syndrome. TCM related to TYPHC commonly used in pre- scriptions were tonifying deficiency medicine , phlegm-re- solving medicine ,promoting blood circulation and removing blood stasi s medicine ,etc.Four properties were mostly cold ,warm and calm ;the five flavors were most ly swe et,bitter and pungent ;channel tropism were mostly spleen ,liver,stomach, lung,heart and kidney ;drug combination were mostly warming-sweet-spleen ,warming-pungent-spleen and cold-bitter-liver ,etc.; there were 36 couplet medicines with frequency ≥30 times;there were 31 strong association rules and 8 key drug combinations in the prescriptions. WD-Get Rules results showed that in the TCM prescriptions against PHC ,Atractylodes macrocephala ,Codonopsis pilosula,Poria cocos and Glycyrrhiza uralensis were in the key position. They were often combined with many kinds of drugs , which were related to the effect of Sijunzi decoction on strengthening Qi and tonifying spleen. CMC-DD results showed that therapy for TYPHC focused on strengthening the spleen and stomach ,replenishing Qi and blood ;and at the same time ,it treated TYPHC with phlegm-blood stasis syndrome from multiple angles ,such as soothing the liver and regulating Qi ,eliminating phlegm ,clearing heat and detoxification ,promoting blood circulation and nourishing Yin. CONCLUSIONS :Clinical treatment of TYPHC mainly adopts the methods of invigorating the spleen and replenishing Qi ,soothing the liver and regulating Qi ,promoting blood circulation and removing blood stasis ,which conforms to the medication principle of “strengthening the body and eliminating pathogenic factors”. The application of TCMDP can realize the data mining and analysis of TCM in multi-level and multi-directional way , which provides a new and effective way for the mining and research of compatibility rules of TCM prescriptions.

20.
Article in Chinese | WPRIM | ID: wpr-828160

ABSTRACT

Traditional biomedical data analysis technology faces enormous challenges in the context of the big data era. The application of deep learning technology in the field of biomedical analysis has ushered in tremendous development opportunities. In this paper, we reviewed the latest research progress of deep learning in the field of biomedical data analysis. Firstly, we introduced the deep learning method and its common framework. Then, focusing on the proposal of biomedical problems, data preprocessing method, model building method and training algorithm, we summarized the specific application of deep learning in biomedical data analysis in the past five years according to the chronological order, and emphasized the application of deep learning in medical assistant diagnosis. Finally, we gave the possible development direction of deep learning in the field of biomedical data analysis in the future.


Subject(s)
Algorithms , Biomedical Technology , Data Analysis , Deep Learning
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