Ichneumonidae (Hymenoptera) parasitoids of Lepidoptera caterpillars feeding on Croton floribundus Spreng (Euphorbiaceae)

Parasitoids of the family Ichneumonidae (Hymenoptera) were obtained during an inventory of Lepidoptera larvae caught feeding in the wild on Croton floribundus (Euphorbiaceae). The Lepidoptera larvae were collected from host plants along trails inside three preserved forest areas in the Brazilian state of São Paulo. Fifteen different species of Ichneumonidae belonging to five subfamilies (Banchinae, Campopleginae, Cremastinae, Mesochorinae and Metopiinae) were obtained. Seven species of Ichneumonidae were reared from leaf rollers: Meniscomorpha sp. (Banchinae) and Leurus caeruliventris (Cresson) (Metopiinae) from Dichomeris sp. (Gelechiidae); Mesochorus sp.1 (Mesochorinae) [as a parasitoid of Hypomicrogaster sp. (Braconidae, Microgastrinae)], Campoplex sp. (Campopleginae) and Leurus sp. from Olethreutinae sp. (Tortricidae); Sphelodon annulicornis Morley (Banchinae) and Eutanygaster brevipennis Cameron (Cremastinae) were also reared from two unidentified species of Gelechiidae. The other eight species were reared from the larvae of exposed feeders: Diradops sp. (Banchinae) from Miselia albipuncta Hampson (Noctuidae), Casinaria sp. (Campopleginae) from Hymenomima conia Prout (Geometridae), Charops sp. (Campopleginae) from Bagisara paulensis Schaus (Noctuidae) and Oxydia vesulia (Cramer) (Geometridae), two species of Hyposoter Förster (Campopleginae) from Semaeopus sp. (Geometridae) and H. conia, two species of Microcharops Roman (Campopleginae) from B. paulensis and an unidentified species of Limacodidae and Mesochorus sp. 2 [reared from what was probably Aleiodes sp. (Braconidae, Rogadinae)] from an unidentified species of Noctuidae.

Automatic classification of MR scans in Alzheimer's disease.

To be diagnostically useful, structural MRI must reliably distinguish Alzheimer's disease (AD) from normal aging in individual scans. Recent advances in statistical learning theory have led to the application of support vector machines to MRI for detection of a variety of disease states. The aims of this study were to assess how successfully support vector machines assigned individual diagnoses and to determine whether data-sets combined from multiple scanners and different centres could be used to obtain effective classification of scans. We used linear support vector machines to classify the grey matter segment of T1-weighted MR scans from pathologically proven AD patients and cognitively normal elderly individuals obtained from two centres with different scanning equipment. Because the clinical diagnosis of mild AD is difficult we also tested the ability of support vector machines to differentiate control scans from patients without post-mortem confirmation. Finally we sought to use these methods to differentiate scans between patients suffering from AD from those with frontotemporal lobar degeneration. Up to 96% of pathologically verified AD patients were correctly classified using whole brain images. Data from different centres were successfully combined achieving comparable results from the separate analyses. Importantly, data from one centre could be used to train a support vector machine to accurately differentiate AD and normal ageing scans obtained from another centre with different subjects and different scanner equipment. Patients with mild, clinically probable AD and age/sex matched controls were correctly separated in 89% of cases which is compatible with published diagnosis rates in the best clinical centres. This method correctly assigned 89% of patients with post-mortem confirmed diagnosis of either AD or frontotemporal lobar degeneration to their respective group. Our study leads to three conclusions: Firstly, support vector machines successfully separate patients with AD from healthy aging subjects. Secondly, they perform well in the differential diagnosis of two different forms of dementia. Thirdly, the method is robust and can be generalized across different centres. This suggests an important role for computer based diagnostic image analysis for clinical practice.

New record of predatory ladybird beetle (Coleoptera, Coccinellidae) feeding on extrafloral nectaries

New record of predatory ladybird beetle (Coleoptera, Coccinellidae) feeding on extrafloral nectaries. Feeding by Exoplectra miniata (Germar) on extrafloral nectaries of Inga edulis Mart. was observed in Nova Friburgo, Rio de Janeiro, Brazil. This is the first record of this behavior for Exoplectrini.

Behaviour of first-feeding peruvian anchoveta larvae, Engraulis ringens J.

Analiza las reservas de vitelino y su funcion en el aumento proporcional en la longitud del tamaño del cuerpo.

Variability of resting energy expenditure in healthy volunteers during fasting and continuous enteral feeding.

The magnitude of variability in resting energy expenditure (REE) during the day was assessed in nine healthy young subjects under two nutritional conditions: 1) mixed nutrient (53% carbohydrate, 30% fat, 17% protein) enteral feeding at an energy level corresponding to 1.44 REE; and 2) enteral fasting, with only water allowed. In each subject, six 30-min measurements of REE were performed using indirect calorimetry (hood system) at 90-min intervals from 9 AM to 5 PM. The mean REE and respiratory quotient were significantly (p less than .01) greater during feeding than during fasting (1.08 +/- 0.07 [SEM] vs. 1.00 +/- 0.06 kcal/min and 0.874 +/- 0.007 vs. 0.829 +/- 0.008 kcal/min, respectively). Mean postprandial thermogenesis was 4.9 +/- 0.4% of metabolizable energy administered. The intraindividual variability of REE throughout the day, expressed as the coefficient of variation, ranged from 0.7% to 2.0% in the fasting condition and from 1.2% to 4.1% in the feeding condition. There was no significant difference between the REE measured in the morning and that determined in the afternoon.

Identification of sap-feeder instars in Angelabella tecomae Vargas & Parra (Lepidoptera, Gracillariidae) feeding on Tecoma fulva fulva (Bignoniaceae)

The number of sap-feeding instars of the leaf-miner Angelabella tecomae Vargas & Parra, 2005 was determined by measuring the head capsule exuviae collected from mines (n = 125) on the shrub Tecoma fulva fulva D. Don (Bignoniaceae) in the Azapa Valley, northern Chile. Sap-feeding larvae went through four instars in 120 occasions while five larvae went through five instars. The possible causes for this variation and the usefulness of this tool for future studies are discussed.

Effect of feeding level during autumn and winter on breeding weight and result in single and pair-housed minks

Selostus: Syys- ja talviruokinnan vaikutus yksin ja pareittain kasvatettujen minkkien lisääntymistulokseen

Ispol'zovanie metodov teorii vosstanovleniia v modeliakh optimal'nogo dobyvaniia pishchi [Restoration theory in models of optimal feeding behavior]

The method of stochastic dynamic programming is widely used in ecology of behavior, but has some imperfections because of use of temporal limits. The authors presented an alternative approach based on the methods of the theory of restoration. Suggested method uses cumulative energy reserves per time unit as a criterium, that leads to stationary cycles in the area of states. This approach allows to study the optimal feeding by analytic methods.

Feeding value of grass ensiled with absorbents assessed in growing lambs

Selostus: Eri absorbenteilla valmistettu säilörehu karitsoiden ruokinnassa

Concentrate feeding and milk yield based on field data of milk recorded herds

Selostus: Väkirehuruokinnan vaikutus maidontuotantoon karjantarkkailutiloilta kerätyssä kenttäaineistossa

Effect of anionic salts in concentrate mixture on some blood and urine minerals, acid-base balance and feed intake of dry pregnant cows on grass silage based feeding with high calcium intake

Selostus: Kationi-anionitasapaino ummessaolevien lypsylehmien säilörehuruokinnassa kalsiumin saannin ollessa runsas