Diagnosa Penyakit Saluran Pernapasan dengan Menggunakan Support Vector Machine (Svm)

Support Vector Machine (SVM) telah banyak digunakan untuk membantu menyelesaikan berbagai macam permasalahan dalam rangka pengambilan keputusan berdasarkan pelatihan yang diberikan. Aplikasi SVM dapat diterapkan dalam berbagai bidang, salah satunya dalam bidang kesehatan. Dalam penelitian ini, aplikasi SVM digunakan untuk mendiagnosa penyakit saluran pernapasa khususnya pada penyakit Tuberculosis, Asma, Sinusitis, Bronchitis, Pneumonia, dan ISPA berdasarkan gejala-gejala dari penyakit saluran pernapasan tersebut. Data yang digunakan dalam penelitian ini sebanyak 77 data, 56 data untuk pelatihan dan 21 data untuk pengujian. Data di atas diperoleh dari ruang rekam medis RSUD Dr. M. Haulussy Ambon. Dalam penelitian ini, diujicobakan variasi fungsi kernel pada SVM untuk mendapatkan tingkat keakuratan yang terbaik. Tingkat keakuratan terbaik dari pengujian 21 data diperoleh sebesar 80.95%

Trans-disciplinary research approaches: integration of fluid mechanics with cell biology

At the level of the individual molecule, outstanding discoveries leading the the 2012 Nobel Prize in Chemistry clarified G-protein coupled receptors (GPCRs) crystallographic structures and functions. Nevertheless, a large number of such receptors cooperate to ultimately determine the cell response. Henceforth, understanding their group effects becomes crucial to predict the activity of the GPCRs populating the various cell aggregates

Population-based continuous optimization, probabilistic modelling and mean shift

Evolutionary algorithms perform optimization using a population of sample solution points. An interesting development has been to view population-based optimization as the process of evolving an explicit, probabilistic model of the search space. This paper investigates a formal basis for continuous, population-based optimization in terms of a stochastic gradient descent on the Kullback-Leibler divergence between the model probability density and the objective function, represented as an unknown density of assumed form. This leads to an update rule that is related and compared with previous theoretical work, a continuous version of the population-based incremental learning algorithm, and the generalized mean shift clustering framework. Experimental results are presented that demonstrate the dynamics of the new algorithm on a set of simple test problems

Geoprocessamento no contexto de empresas de pesquisa.

bitstream/CPACT-2010/12905/1/documento-254.pd

Relaciones peso-longitud y efecto del microhábitat en el estado relativo de salud de peces de manglar de Chiapas, México

Introduction: The specialized root systems of mangroves provide protection and food resources for young and small fish, and it is known that they are reflected on some health condition and growth characteristics of the fish, but much remains to be learned about this subject in the tropics. Objective: To estimate length-weight relationships for ten bony fish species in two tropical mangroves and to compare the allometry and health condition for three species shared among those mangroves. Methods: Between May and November 2019, we collected 1 500 fish specimens from the roots of two mangroves in Chiapas, Mexico (1 322 fishes in stilt-roots and 188 in pneumatophores). We estimated Length-Weight relations with W=aSLb, and the regression parameters (a and b) were calculated by least-squares; as well as univariate analyses to compare standard length, regression slopes, and relative condition among individuals of Poecilia nelsoni, Poeciliopsis fasciata and Dormitator latifrons. Results: The standard length for all species ranged between 0,7 and 21,5 cm and weight between 0,01 and 209,34 g; the regression b-values varied from 2,844 for P. fasciata and 3,847 for Poeciliopsis pleurospilus. TDetermination coefficients were >0,9 for eight species in stilt-roots and for three species in pneumatophores. Specimens of three species collected in both microhabitats were smaller in pneumatophores than in stilt-roots and also differed in b-values; however, the relative health condition was higher only in P. fasciata. Conclusion: The intrinsic conditions of stilt-roots and pneumatophores influence the average size and allometry of fishes at this site. The relative condition does not vary between microhabitats for most species, but may reflect development strategies associated with the environment.Introducción: Los sistemas radiculares de los manglares brindan protección y recursos alimenticios para peces jóvenes y pequeños, y se sabe que se ven reflejados en algunas condiciones de salud y características de crecimiento de los peces, pero queda mucho por aprender sobre este tema en los trópicos. Objetivo: Estimar las relaciones talla-peso de diez especies de peces óseos en dos manglares tropicales y comparar la alometría y el estado de salud de tres especies compartidas entre esos manglares. Métodos: Entre mayo y noviembre de 2019 recolectamos 1 500 ejemplares de peces de las raíces de dos manglares en Chiapas, México (1 322 peces en raíces aéreas y 188 en neumatóforos). Estimamos relaciones Longitud-Peso con W=a SLb, y los parámetros de regresión (ayb) por mínimos cuadrados; y usamos análisis univariados para comparar la longitud estándar, las pendientes de regresión y la condición relativa entre individuos de Poecilia nelsoni, Poeciliopsis fasciata y Dormitator latifrons. Resultados: La longitud estándar para todas las especies osciló entre 0,7 y 21,5cm y el peso entre 0,01 y 209,34g; los valores b de la regresión variaron de 2 844 para P. fasciata hasta 3 847 para Poeciliopsis pleurospilus. Los coeficientes de determinación fueron >0,9 para ocho especies en raíces aéreas y para tres especies en neumatóforos. Los especímenes de tres especies recolectados en ambos microhábitats fueron más pequeños en neumatóforos que en raíces aéreas y también difirieron en los valores de b; sin embargo, el estado relativo de salud fue mejor solo en P. fasciata. Conclusión: Las condiciones intrínsecas de las raíces aéreas y los neumatóforos influyen en el tamaño promedio y la alometría de los peces en este sitio. La condición relativa no varía entre microhábitats para la mayoría de las especies, pero puede reflejar estrategias de desarrollo asociadas con el ambiente

DIAGNOSA PENYAKIT SALURAN PERNAPASAN DENGAN MENGGUNAKAN SUPPORT VECTOR MACHINE (SVM)

Support Vector Machine (SVM) telah banyak digunakan untuk membantu menyelesaikan berbagai macam permasalahan dalam rangka pengambilan keputusan berdasarkan pelatihan yang diberikan. Aplikasi SVM dapat diterapkan dalam berbagai bidang, salah satunya dalam bidang kesehatan. Dalam penelitian ini, aplikasi SVM digunakan untuk mendiagnosa penyakit saluran pernapasa khususnya pada penyakit Tuberculosis, Asma, Sinusitis, Bronchitis, Pneumonia, dan ISPA berdasarkan gejala-gejala dari penyakit saluran pernapasan tersebut. Data yang digunakan dalam penelitian ini sebanyak 77 data, 56 data untuk pelatihan dan 21 data untuk pengujian. Data di atas diperoleh dari ruang rekam medis RSUD Dr. M. Haulussy Ambon. Dalam penelitian ini, diujicobakan variasi fungsi kernel pada SVM untuk mendapatkan tingkat keakuratan yang terbaik. Tingkat keakuratan terbaik dari pengujian 21 data diperoleh sebesar 80.95%

P2Y12 Receptor Blockade Augments Glycoprotein IIb‐IIIa Antagonist Inhibition of Platelet Activation, Aggregation, and Procoagulant Activity

Background: New antiplatelet agents that provide greater, more consistent inhibition of the platelet ADP receptor P2Y12 may be used in combination with glycoprotein (GP) IIb‐IIIa antagonists, but their combined effect on platelet function and procoagulant activity is not well studied. Therefore, the objective of this study was to evaluate the independent and complementary effects of P2Y12 and GPIIb‐IIIa inhibition on platelet function and procoagulant activity. Methods and Results: Healthy donor blood was treated with the active metabolite of prasugrel (R‐138727 5 μmol/L), GPIIb‐IIIa antagonists (abciximab 3 μg/mL or eptifibatide 0.9 μg/mL), and combinations thereof, exposed to physiologically relevant agonists (collagen and ADP) and then evaluated for markers of platelet activation and procoagulant activity. Significant interactions between R‐138727 and GPIIb‐IIIa antagonists were observed. R‐138727 and the GPIIb‐IIIa antagonists had additive inhibitory effects on collagen‐stimulated platelet aggregation and on the collagen plus ADP–stimulated level of activated platelet surface GPIIb‐IIIa. R‐138727 and abciximab each inhibited collagen plus ADP–stimulated platelet phosphatidylserine expression and prothrombin cleavage, and the combination produced greater inhibition than achieved with abciximab alone. In contrast, eptifibatide did not inhibit, but instead enhanced, collagen plus ADP–stimulated prothrombin cleavage. Addition of R‐138727 reduced prothrombin cleavage in eptifibatide‐treated samples, suggesting a novel mechanism for potential benefit from combined prasugrel and eptifibatide treatment. Conclusions: The complementary effects of abciximab and R‐138727 on platelet activation, aggregation, and procoagulant activity suggest their combined use may, to a greater degree than with either agent alone, reduce thrombus formation in vivo

Fluctuation and fixation of rodenticide resistance alleles in Rattus norvegicus

Berthier, K., Benoit, E., Berny, P., Lasseur, R., Merville, A., Peigneaux, F., Cosson, J.-F

Estimation des paramètres génétiques de la vitesse de croissance et du poids des agneaux avant le sevrage en race mérinos d'arles

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