203 resultados para História dos Números Reais


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OBJETIVO: Examinar o perfil lipídico e parâmetros nutricionais de adolescentes com história familiar de doença arterial coronariana (DAC) prematura e avaliar os efeitos da orientação nutricional. MÉTODOS: O estudo incluiu 48 adolescentes de ambos os sexos e idades entre 10 e 19 anos (grupo caso, n=18; grupo controle, n=30). RESULTADOS: Os filhos de coronarianos jovens apresentaram valores mais elevados de colesterol total (189 ± 30 vs. 167 ± 26 mg/dl, p<0,01), LDL-C (144 ± 20 vs. 100 ± 27 mg/dl, p<0,001) e Apo B (80 ± 15 vs. 61 ± 18 mg/dl, p=0,001) e valores mais baixos de HDL-C (45 ± 9 vs. 51 ± 13 mg/dl, p<0,02) que os jovens controles. Não se observaram diferenças para os triglicérides e Apo A-I. Com a orientação dietoterápica obteve-se redução no consumo alimentar de ácidos graxos saturados (pré: 15,5 ± 4,7% vs. pós: 6,6 ± 3,7%, p=0,003) e melhora no perfil lipídico: CT (-8%, p=0,033), LDL-C (-18,2%, p=0,001), TG (-53%, p=0,002) nos filhos de pacientes com DAC prematura que apresentavam hiperlipidemia. CONCLUSÃO: A presença de dislipidemia foi mais prevalente em adolescentes filhos de portadores de DAC prematura, mas foi responsiva à intervenção nutricional.

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FUNDAMENTO: Os pacientes com insuficiência cardíaca (IC) que necessitam ser hospitalizados para compensação constituem grupo de maior gravidade, que evoluem com alta mortalidade e alta taxa de re-hospitalizações. OBJETIVO: Procuramos avaliar a atual história natural da IC por meio da taxa de mortalidade e de re-hospitalizações, nessa nova era do bloqueio neuro-hormonal. MÉTODOS: Acompanhamos a evolução de 263 pacientes com FE média de 27,1%, internados para compensação, entre janeiro de 2005 e outubro de 2006. Foram hospitalizados somente os pacientes que após avaliação e medicação no PS não estavam em condições de ter alta. Os pacientes encontravam-se em CF III/IV, a idade média foi de 59,9±15,2 anos, a maioria homens e 63,1% necessitaram de inotrópicos para compensação na fase aguda. RESULTADOS: O tempo médio de internação foi de 25,1±16,7 dias. Durante a internação 23 (8,8%) morreram. Após a alta, no período médio de seguimento de 370 dias, dos 240 que tiveram alta, 123 (51,2%) procuraram o PS de 1 a 12 vezes (total de passagens: 350), sendo 76 re-internados, sendo a média de dias da re-hospitalização de 23,5±18,0. No primeiro ano de seguimento 62 (25,8%) pacientes morreram. CONCLUSÃO: A IC continua evoluindo com alta mortalidade e alta taxa de re-hospitalização. Ao final do primeiro ano 44,5% desses pacientes não necessitaram passar no PS ou morreram, números que indicam que devemos continuar dando grande atenção aos portadores de IC, na tentativa de mudar a história natural dos portadores dessa síndrome, cada vez mais freqüente.

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The main object of the present paper consists in giving formulas and methods which enable us to determine the minimum number of repetitions or of individuals necessary to garantee some extent the success of an experiment. The theoretical basis of all processes consists essentially in the following. Knowing the frequency of the desired p and of the non desired ovents q we may calculate the frequency of all possi- ble combinations, to be expected in n repetitions, by expanding the binomium (p-+q)n. Determining which of these combinations we want to avoid we calculate their total frequency, selecting the value of the exponent n of the binomium in such a way that this total frequency is equal or smaller than the accepted limit of precision n/pª{ 1/n1 (q/p)n + 1/(n-1)| (q/p)n-1 + 1/ 2!(n-2)| (q/p)n-2 + 1/3(n-3) (q/p)n-3... < Plim - -(1b) There does not exist an absolute limit of precision since its value depends not only upon psychological factors in our judgement, but is at the same sime a function of the number of repetitions For this reasen y have proposed (1,56) two relative values, one equal to 1-5n as the lowest value of probability and the other equal to 1-10n as the highest value of improbability, leaving between them what may be called the "region of doubt However these formulas cannot be applied in our case since this number n is just the unknown quantity. Thus we have to use, instead of the more exact values of these two formulas, the conventional limits of P.lim equal to 0,05 (Precision 5%), equal to 0,01 (Precision 1%, and to 0,001 (Precision P, 1%). The binominal formula as explained above (cf. formula 1, pg. 85), however is of rather limited applicability owing to the excessive calculus necessary, and we have thus to procure approximations as substitutes. We may use, without loss of precision, the following approximations: a) The normal or Gaussean distribution when the expected frequency p has any value between 0,1 and 0,9, and when n is at least superior to ten. b) The Poisson distribution when the expected frequecy p is smaller than 0,1. Tables V to VII show for some special cases that these approximations are very satisfactory. The praticai solution of the following problems, stated in the introduction can now be given: A) What is the minimum number of repititions necessary in order to avoid that any one of a treatments, varieties etc. may be accidentally always the best, on the best and second best, or the first, second, and third best or finally one of the n beat treatments, varieties etc. Using the first term of the binomium, we have the following equation for n: n = log Riim / log (m:) = log Riim / log.m - log a --------------(5) B) What is the minimun number of individuals necessary in 01der that a ceratin type, expected with the frequency p, may appaer at least in one, two, three or a=m+1 individuals. 1) For p between 0,1 and 0,9 and using the Gaussean approximation we have: on - ó. p (1-p) n - a -1.m b= δ. 1-p /p e c = m/p } -------------------(7) n = b + b² + 4 c/ 2 n´ = 1/p n cor = n + n' ---------- (8) We have to use the correction n' when p has a value between 0,25 and 0,75. The greek letters delta represents in the present esse the unilateral limits of the Gaussean distribution for the three conventional limits of precision : 1,64; 2,33; and 3,09 respectively. h we are only interested in having at least one individual, and m becomes equal to zero, the formula reduces to : c= m/p o para a = 1 a = { b + b²}² = b² = δ2 1- p /p }-----------------(9) n = 1/p n (cor) = n + n´ 2) If p is smaller than 0,1 we may use table 1 in order to find the mean m of a Poisson distribution and determine. n = m: p C) Which is the minimun number of individuals necessary for distinguishing two frequencies p1 and p2? 1) When pl and p2 are values between 0,1 and 0,9 we have: n = { δ p1 ( 1-pi) + p2) / p2 (1 - p2) n= 1/p1-p2 }------------ (13) n (cor) We have again to use the unilateral limits of the Gaussean distribution. The correction n' should be used if at least one of the valors pl or p2 has a value between 0,25 and 0,75. A more complicated formula may be used in cases where whe want to increase the precision : n (p1 - p2) δ { p1 (1- p2 ) / n= m δ = δ p1 ( 1 - p1) + p2 ( 1 - p2) c= m / p1 - p2 n = { b2 + 4 4 c }2 }--------- (14) n = 1/ p1 - p2 2) When both pl and p2 are smaller than 0,1 we determine the quocient (pl-r-p2) and procure the corresponding number m2 of a Poisson distribution in table 2. The value n is found by the equation : n = mg /p2 ------------- (15) D) What is the minimun number necessary for distinguishing three or more frequencies, p2 p1 p3. If the frequecies pl p2 p3 are values between 0,1 e 0,9 we have to solve the individual equations and sue the higest value of n thus determined : n 1.2 = {δ p1 (1 - p1) / p1 - p2 }² = Fiim n 1.2 = { δ p1 ( 1 - p1) + p1 ( 1 - p1) }² } -- (16) Delta represents now the bilateral limits of the : Gaussean distrioution : 1,96-2,58-3,29. 2) No table was prepared for the relatively rare cases of a comparison of threes or more frequencies below 0,1 and in such cases extremely high numbers would be required. E) A process is given which serves to solve two problemr of informatory nature : a) if a special type appears in n individuals with a frequency p(obs), what may be the corresponding ideal value of p(esp), or; b) if we study samples of n in diviuals and expect a certain type with a frequency p(esp) what may be the extreme limits of p(obs) in individual farmlies ? I.) If we are dealing with values between 0,1 and 0,9 we may use table 3. To solve the first question we select the respective horizontal line for p(obs) and determine which column corresponds to our value of n and find the respective value of p(esp) by interpolating between columns. In order to solve the second problem we start with the respective column for p(esp) and find the horizontal line for the given value of n either diretly or by approximation and by interpolation. 2) For frequencies smaller than 0,1 we have to use table 4 and transform the fractions p(esp) and p(obs) in numbers of Poisson series by multiplication with n. Tn order to solve the first broblem, we verify in which line the lower Poisson limit is equal to m(obs) and transform the corresponding value of m into frequecy p(esp) by dividing through n. The observed frequency may thus be a chance deviate of any value between 0,0... and the values given by dividing the value of m in the table by n. In the second case we transform first the expectation p(esp) into a value of m and procure in the horizontal line, corresponding to m(esp) the extreme values om m which than must be transformed, by dividing through n into values of p(obs). F) Partial and progressive tests may be recomended in all cases where there is lack of material or where the loss of time is less importent than the cost of large scale experiments since in many cases the minimun number necessary to garantee the results within the limits of precision is rather large. One should not forget that the minimun number really represents at the same time a maximun number, necessary only if one takes into consideration essentially the disfavorable variations, but smaller numbers may frequently already satisfactory results. For instance, by definition, we know that a frequecy of p means that we expect one individual in every total o(f1-p). If there were no chance variations, this number (1- p) will be suficient. and if there were favorable variations a smaller number still may yield one individual of the desired type. r.nus trusting to luck, one may start the experiment with numbers, smaller than the minimun calculated according to the formulas given above, and increase the total untill the desired result is obtained and this may well b ebefore the "minimum number" is reached. Some concrete examples of this partial or progressive procedure are given from our genetical experiments with maize.

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A short contribution to the Natural History of some Brazilian Frigillidae The following species of Brazilian Fringillidae are mentioned here, the first of which being more deeply studied: 1 - Oryzoborus angolensis angolensis (Linnaeus). 2 - Oryzoborus crassirostris maximiliani Cabanis. 3 - Cyanocompsa cyanea sterea Oberholser. 4 - Coryphospingus cucullatus rubescens (Swainson). About each one of the referred species, the Author gives native names, some datas and observations on its reproduction and behaviour under captivity, as well as on its natural alimentation. Some considerations about the geographical races of Oryzoborus angolensis: O. a. angolensis (Linnaeus) and 0. a. torridus (Scopoli) -are also made. Both the races occur in Brasil and, according to the Author's opinion, they are not satisfactorily caracterized.

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The main wild doves of the region of Piracicaba (State of S. Paulo, Brazil) are Columba cayennensis sylvestris Vieillot, Oreopeleia montana montana (L.), Leptotila verreauxi decipiens Salvadori, Columbigallina talpacoti talpacoti. (Temminck) and Scardafella squammata squammata (Lesson). The last one is well known for the beauty of the coloration of its feathers and for the characteristic sounds produced when flying up. Of common occurrence around the local farms, that species can easily be recognized not only for the mentioned peculiarities as for the voice of the adults, which was translated into the Brazilian onomatopoeia by the expression "fogo-apagou". S. squammata's biology being not well known, the Author presents some notes on its nidification, behaviour of both sexes and of the young birds. The data were gotten in nature and with specimens kept in captivity, where the reproduction took place. In such a situation, the male dove used thin and small wooden shavings to build the nest, an artificial material unknown by him when in nature. This fact may be considered as another proof of the plasticity of the instinctive conduct of birds, not so marked as the one given by SCHIRCH (1931) concerning Synallaxis sp. (Furnariidae), which made use of wire pieces and also barbed wires in confectioning the nest. The copulation was sometimes verified, being preceded by the phenomena well known in other Columbidae species. The nest had its building ready just on the day in which the first egg was laid. As it generally happens amongst doves, the nest was not carefully made - a simple and shallow bowl (diameter = 10 cm), where two entirely white eggs were put.. .. ..(22,5-24,5 x 18,0-19,0 mm). The eclosion took place 14 days after the laying of the last egg. As soon as the young doves (at least the male one) can feed by themselves, they try to produce the characteristic species sounds. "Pararu", a common name oly applied to another species - Claravis godefrida (Temminck) - is reported, which is preferably used by people in this region to call the studied dove. No differences between the coloration of the fathers of the two sexes were observed. The female dove seemed to be a little thinner than the male. In addition, the slight differences between the sounds produced by the male and female are pointed out.

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O presente trabalho é uma revisão histórica sucinta da atuação de fitopatologistas, fitovirologistas e outros técnicos no Brasil na área das viroses de plantas. É considerado que a estrutura atual da pesquisa fitovirológica existente a nível federal ou estadual no país é suficiente para enfrentar problemas representados pelas viroses de nossas culturas. Mas é apontado que há falta de uns poucos centros de pesquisa básica com vírus de plantas independentemente de considerações econômicas de problemas existentes. É mencionado que há dificuldade. em obter recursos para qualquer instituição ou grupo que trabalhe em pesquisas mais básicas e que essas são melhor adaptadas a uma universidade ou instituto altamente especializado.

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O Rio Grande do Sul é o estado mais meridional do Brasil, apresentando fauna e flora peculiares associadas às características morfoclimáticas da região. A diversidade de Testudines do Rio Grande do Sul é representada por seis espécies continentais e cinco marinhas. Este estudo apresenta comentários sobre a diversidade de quelônios continentais do Rio Grande do Sul, através de uma compilação de dados publicados e alguns inéditos sobre sua biologia e estado de conservação.