Total Lipid and Fatty Acid Composition in Male and Female Larvae of Indian-Meal Moth and Almond Moth (Lepidoptera: Pyralidae)

The total body lipid and fatty acid composition of last instar larvae of the Indian-meal moth, Plodia interpunctella, and almond moth, Cadra cautella, reared on a turkey mash diet was determined. Male P. interpunctella larvae contained significantly higher (lA-fold) total body lipid than females, while no differences between the sexes of C. cautella larvae were observed. The relative abundance of the fatty acids palmitate, palmitoleate, stearate, oleate, lineoleate, and linolenate was similar in both sexes of P. interpunctella and C. cautella. The accumulation of individual fatty acids in larvae of both the moth species did not correspond to levels of fatty acids in the diet. The accumulation of palmitate, palmitoleate, and oleate in moth larvae of both the species was greater than linoleate and linolenate, suggesting a sparing effect by the former on the latter, more unsaturated fatty acids

Malathion Resistance in Larvae of Some Southern Minnesota Populations of the Indianmeal Moth,\u3ci\u3e Plodia Interpunctella\u3c/i\u3e (Lepidoptera: Pyralidae), Infesting Bulk-Stored Shelled Corn

Larvae of 21 field collected populations of the Indianmeal moth, Plodia interpunctella, infesting stored shelled corn in southern Minnesota were tested for their susceptibility to malathion in the laboratory. A population that was a composite of the 21 populations and a malathion susceptible population were also tested for their susceptibility to malathion, pirimiphos-methyl and chlorpyrifos-methyl. Comparison of the LDso values of the field populations with the malathion susceptible population indicated that the field populations were ca. 33- to 625-fold resistant to malathion. The composite field population was ca. 243-fold resistant to malathion, and this population was 3.2-fold cross-resistant to pirimiphos-methyl, but was highly susceptible to chlorpyrifos-methyl

Idempotent distributed counters using a Forgetful Bloom Filter

Distributed key-value stores power the backend of high-performance web services and cloud computing applications. Key-value stores such as Cassandra rely heavily on counters to keep track of the occurrences of various kinds of events. However, today's implementations of counters do not provide exactly-once semantics. A typical scenario is that a client requests a counter increment, times out waiting for a response, and creates a duplicate request, thus resulting in a double increment on the server side. In this thesis, we address this problem by presenting, analyzing, and evaluating a novel server-side data structure called the Forgetful Bloom Filter (FBF). Like a traditional Bloom filter, an FBF is a compact representation of a set of elements (e.g., client requests). However, an FBF is more powerful than a Bloom filter in two aspects: i) it can forget older elements (e.g., requests that are too old to apply), and ii) it is self-adapting under a varying workload. We also present an adaptive variant of FBF that adapts itself to meet a desired false positive rate -- thus the error achieved in the counter can be bounded even as the workload changes. We present experimental results from a prototype implementation of FBFs and discuss the implications for a key-value store such as Cassandra. Our results show that the FBF is highly accurate in maintaining correct counter values

The mungbean transformation diversifying crops, defeating malnutrition: Diversifying crops, defeating malnutrition

millions fed, food security, Mungbean, AVRDC, World Vegetable Center,