76 research outputs found
Midge (colored) black to Nigger (2 October 1962)
No full textSigned by Midge (colored) blackhttps://egrove.olemiss.edu/mercorr_anti/1134/thumbnail.jp
Registration of ICS 88019 and ICS 88020 Midge-Resistant Grain Sorghum A and B Parental Lines
No full textICSA88019 and ICSB88019 (PI592505) and ICSA88020 and ICSB88020 (PI592506) are sorghum midge (Contarinia sorghicola [Stenodiplosis sorghicola])-resistant sorghum (Sorghum bicolor) seed parents based on the A1 CMS system and developed by ICRISAT at Patancheru, India. ICSB88019 and ICSB88202 were both derived by pedigree selection, and have the pedigrees IS152 × DJ6214-8-1-1-1-1 and FLR101 × DJ6514-13-1-1-2-1, respectively, where DJ6514 is a stable source of resistance to sorghum midge from India, IS152 is a locally adapted germplasm accession from India and FLR101 is an elite line derived from the FLR population. The B-lines were crossed to 296A (A1 cytoplasm) for conversion into male-sterile lines. Information is tabulated on plant height, time to 50% anthesis, grain yield and midge damage of the B-lines grown at Patancheru during the rainy season of 1991 and the post-rainy season of 1991-92
A rotation experiment on the Digital Motion Processor of the Midge
No full textThis thesis has researched how the Midge compares to a modern mobile phone regarding the accuracy and reliability of the rotation vector from the DMP in both devices. The rotation of the main axis of the Midge accurately matches that of the modern mobile phone, which means that the accuracy and reliability of the rotation vector from the DMP of both devices are mostly similar. The rotation of the secondary axes of the Midges do not exactly match that of the mobile phone. Additionally, the rotation of the secondary axes differs for each Midge. These differences might suggest that the DMP of the Midges are less accurate at detecting small changes. Further research is required to draw a definite conclusion.CSE3000 Research ProjectComputer Science and Engineerin
Assessing the influence of sensitivity and frequency on the performance of the Midge
No full textThe Midge is a wearable badge created by the Socially Perceptive Computing Lab, Pattern Recognition and Bioinformatics group of the Delft University of Technology, with as goal to analyse human behaviour. The badge has a digital motion processor (DMP) that can determine its orientation. This DMP makes use of an inertial measurement unit (IMU), that houses an accelerometer, a gyroscope and a magnetometer, to calculate its movement in a 3D-space. For both of the accelerometer and gyroscope the Full Scale Range (FSR) can be changed, in addition to the frequency. In this paper, the effects of both elements are analysed to determine if they influence the accuracy of the data gathered. The results show that the changing the FSR does not influence the accuracy of neither the two sensors nor the performance of the DMP. On the other hand, it was found that changing the frequency does influence the performance of the Midge. Even though the frequency did not affect the measurements of the accelerometer and gyroscope directly, the performance of the DMP was affected. The DMP performed best with a frequency of 150 Hz. Using a higher frequency also captured local extremes and turning points from the sensors and the interpreted orientation more precisely.CSE3000 Research ProjectComputer Science and Engineerin
Checklist of British and Irish Hymenoptera - Platygastroidea
No full textThis is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The attached file is the published version of the article.NHM Repositor
Accuracy Comparison of Inertial Measurement Units (IMUs)
No full textThe Midge is a sensor device developed by the Socially Perceptive Computing Lab (SPCL) at Delft University of Technology (TU Delft). This device is used to monitor human behaviour in social settings using several sensors. In this paper, the accuracy of the Inertial Measurement Unit (IMU) chip used in the Midge sensor package was evaluated. The IMU is responsible for sensing motion in multiple directions using an accelerometer, gyroscope and magnetometer. This experiment was performed by comparing several Midge devices with each other as well as comparing them with a modern smartphone. First will be explained how the control software was updated to run on modern hardware (computers) and the work that was done to reliably convert the generated binary data to readable data (parsing). Then the process of creating the test setup, performing the tests and analyzing the data will be explained.CSE3000 Research ProjectComputer Science and Engineerin
Effects of Changing the Midge’s Sampling Frequencies on Battery Life and Storage
No full textThe Socially Perceptive Computing Lab (SPCL) at Delft University of Technology has developed a device called the Midge. The aim of this device is to record data of social interactions at conferences. This paper aims to characterise how battery life is affected by different sensor settings on the Midge as well as how much data is generated in a given period of time. Based on the findings from the performed tests, formulae for both run time and data generation were devised.CSE3000 Research ProjectComputer Science and Engineerin
A New Gall Midge Species of Asphondylia (Diptera: Cecidomyiidae) Inducing Flower Galls on Clinopodium nepeta (Lamiaceae) from Europe, Its Phenology, and Associated Fungi
No full textA new gall midge, Asphondylia nepetae sp. n. Viggiani (Diptera: Cecidomyiidae), causing flower gall on Clinopodium nepeta (L.) Kuntze (Lamiaceae), is described from Europe. The morphological characteristics of adult, larvae, and pupa are described and illustrated. Molecular approach (by sequencing 28S-D2, ITS2, and COI) confirmed that A. nepetae is a distinct species. The development of the gall is always associated with the presence of the fungus Botryosphaeria dothidea (Moug.: Fr.) Ces. and De Not. (Botryosphaeriales: Botryosphaeriaceae). The new species can complete several generations per year, on the flowers of the same host plant and its adults emerge from late spring to autumn. Pupae overwinter inside peculiar flower galls in a state of quiescence. The impact of the pest is highly variable with a percentage of flowers infested that ranged between 3 and 57.5% in the sampled years. Insect mortality was, at least in part, due to parasitoids that attack the young stages of the midge. Among them, the dominant species was Sigmophora brevicornis (Panzer) (Chalcidoidea: Eulophidae). © The Author(s) 2018
Serine and cysteine protease-like genes in the genome of a gall midge and their interactions with host plant genotypes
No full textProteases play important roles in a wide range of physiological processes in organisms. For plant-feeding insects, digestive proteases are targets for engineering protease inhibitors for pest control. In this study, we identified 105 putative serine- and cysteine-protease genes from the genome of the gall midge Mayetiola destructor (commonly known as Hessian fly), a destructive pest of wheat. Among the genes, 31 encode putative trypsins, 18 encode putative chymotrypsins, seven encode putative cysteine proteases, and the remaining may encode either other proteases or protease homologues. Developmental stage- and tissue-specific expression profiles of the genes encoding putative trypsins, chymotrypsins, and cysteine proteases were determined by quantitative reverse-transcription PCR. Comparative analyses of stage- and tissue-specific expression patterns suggested that several genes are likely to encode digestive proteases in the M. destructor larval gut, including genes encoding putative trypsins MDP3, MDP5, MDP9, MDP24, MDP48, MDP51, MDP57, MDP61, MDP71, and MDP90; genes encoding putative chymotrypsins MDP1, MDP7, MDP8, MDP18, MDP19, and MDP20; and genes encoding putative cysteine proteases MDP95 and MDP104. The expression of some protease genes was affected by plant genotypes. Genes encoding trypsins MDP3, MDP9, and MPD23, chymotrypsins MDP20 and MDP21, and cysteine proteases MDP99 and MDP104 were upregulated in M. destructor larvae feeding in resistant plants, whereas genes encoding trypsins MDP12, MDP24, and MDP33, and chymotrypsins MDP8, MDP15, and MDP16 were downregulated in M. destructor larvae feeding in resistant plants. This study provides a foundation for further comparative studies on proteases in different insects, and further characterization of M. destructor digestive proteases and their interactions with host plants, as well as potential targets for transgenic wheat plants
Innovations for Access in Alabama: 1) Testing VuFind as an Index for AlabamaMosaic; 2) New Membership Structure for Alabama Digital Preservation Network
No full textIn the last decade, the Network of Alabama Academic Libraries (NAAL) has launched two statewide initiatives dealing with digitized cultural heritage materials. The first, AlabamaMosaic, is a digital library of materials from 21 institutions. Up until now, it has been necessary that all participants publish their materials using the same content management software (CMS). Most recently, this CMS has been CONTENTdm, with OCLC’s Multi-Site Server (MSS) software being used to index the collections and provide the search interface.
Although members have been exploring the use of alternative CMSs, these non-CONTENTdm collections cannot be indexed by MSS and thus could not be included in AlabamaMosaic before now. This past year, we have been testing the use of VuFind, an open-source next-generation catalog software, to index AlabamaMosaic collections. VuFind index records are created from OAI metadata harvesting feeds. Thus far, collections in three CMSs -- CONTENTdm, dSpace, and Acumen -- have been harvested into the VuFind index. Like MSS, VuFind allows searching across all indexed collections. Unlike MSS, VuFind facets then allow these search results to be narrowed by institution, collection, author, and/or subject term.
NAAL’s second statewide digital initiative is the Alabama Digital Preservation Network (ADPNet), a Private LOCKSS Network (PLN). Many of the digital collections indexed by AlabamaMosaic are also preserved in ADPNet. The original configuration for ADPNet involved seven server nodes, one each at the state archives and at six colleges and universities scattered around the state. Recently, a new membership model (presented here by Tom Wilson in 2011) was established with four tiers of membership. This new model allows smaller institutions to join without being required to host a server node and has resulted in the addition of two new ADPNet members, both public libraries
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