73 research outputs found
Citation chain aggregation: An interaction model to support citation cycling
No full textThis is the postprint version of the conference paper.Citation chaining is a powerful means of exploring the academic literature. Starting from just one or two known relevant items, a
naïve researcher can cycle backwards and forwards through the citation graph to generate a rich overview of key works, authors and journals relating to their topic. Whilst online citation indexes
greatly facilitate this process, the size and complexity of the search space can rapidly escalate. In this paper, we propose a
novel interaction model called citation chain aggregation (CCA). CCA employs a simple three-list view which highlights the
overlaps that occur between the first-generation relations of known relevant items. As more relevant articles are identified, differences in the frequencies of citations made by or to unseen articles provide strong relevance feedback cues. The benefits of this technique are illustrated using a simple case study
Pitch and Yaw Control of Tailless Flapping Wing MAVs by Implementing Wing Root Angle Deflection
No full textStudy was conducted on the effect of wing root angle deflection to pave the way for the implementation of tailless flight control on a hovering flapping wing platform. Hypotheses of how the wing root deflection in the sagittal direction could help generate pitching and yawing moments are presented and investigated. The investigation was completed using a four bar linkage crank-rocker flapping mechanism. The flapping frequencies are from 13Hz to 18Hz, and the sagittal deflection angle ranged between -6.7º to 7º. Study shows that tailless pitch and yaw control is feasible but the nonlinearities could lead to huge challenge on implementation. The deflection angle also compromises lift
An edition of the cartulary of St. Mary's Collegiate Church, Warwick.
No full textIn 2 volsAvailable from British Library Document Supply Centre-DSC:DXN034790 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo
The Boreal Limits of Conifers
No full textA re-writing for English-speaking readers, of the author\u27s Barrtradsarternas polara grans pa norra halvklotet, 1952, q.v., with minor changes in the maps
Etiology-based classification of hemolytic uremic syndrome/thrombotic thrombocytopenic purpura. What about hemolytic uremic syndrome associated with urinary tract infections?
No full textA fast focus+context viewing technique for the navigation of classical hierarchical layout
No full text
Phát thải khí nhà kính trực tiếp và gián tiếp từ sản xuất lúa theo các biện pháp quản lý rơm rạ khác nhau – Một nghiên cứu ở vụ Thu Đông ở tỉnh An Giang, Việt Nam
No full textThis study resulted in a comparative analysis of greenhouse gas emissions (GHGE) for rice production with different in-field rice straw management practices based on an experiment conducted in An Giang Province of Vietnam, during the autumn - winter season of 2016. Direct field GHGE was analyzed based on in-situ measurement and the total direct and indirect GHGE were estimated by applying the life cycle assessment using Ecoinvent3 database which is incorporated in SIMAPRO software. The experiment was conducted based on a completely random design with three treatments and three replications. The three treatments are [T1] Incorporation of straw and stubbles treated with Trichoderma; [T2] Incorporation of stubbles and removal of straw; and [T3] In-field burning straw. Closed chamber protocol and gas chromatography (SRI 8610C) was used to measure and analyse CH4 and N2O. CH4 emission rate was not significantly different (p>0.05) among the three treatments during sampling dates except on the days 17 and 24 after sowing (DAS). N2O emission rate was not significantly different (p>0.05) either. However, there were high variations of N2O emission after the dates of urea applied. Direct field emissions of CH4, N2O and CO2 equivalent (CO2eq) are not significantly different among the three treatments, but the amount of CO2eq per kg straw in T1 of incorporating rice straw treated with Trichoderma is significantly higher than in T3 of in-field burning straw. LCA based analysis resulted in total GHGE in the range of 1.93-2.46 kg CO2-eq kg-1 paddy produced consisting of 53-66% from direct soil emissions. Incorporation of straw treated with Trichoderma did not indicate the improvement of paddy yield. However, the organic matter, N-NH4+, and N-NO3- of this treatment was higher than those of the other researched treatments. This research was just conducted in one crop season, however, the results have initial implications for the other crop seasons.Nghiên cứu này phân tích phát thải khí nhà kính từ sản xuất lúa theo các biện pháp quản lý rơm rạ khác nhau dựa vào thí nghiệm được thực hiện ở vụ Thu Đông năm 2016 tại tỉnh An Giang, Việt Nam. Lượng phát thải khí nhà kính từ đất đã được phân tích dựa vào kết quả đo đạt tại ruộng và tổng lượng phát thải khí nhà kính trực tiếp và gián tiếp được ước tính bằng phương pháp vòng đời sử dụng cơ sở dữ liệu Ecoinvent3 gắn kết với phần mềm SIMAPRO. Thí nghiệm được bố trí hoàn toàn ngẫu nhiên gồm 3 nghiệm thức và 3 lần lặp lại. Các nghiệm thức gồm [T1] vùi rơm và rạ với Trichoderma, [T2] lấy rơm ra khỏi ruộng và vùi rạ và [T3] đốt rơm. Kỹ thuật buồng kín (closed chamber protocol) và máy sắc ký khí (SRI8610C) được sử dụng để đo đạt và phân tích khí CH4 và N2O. Tốc độ phát thải khí CH4 không khác biệt giữa ba nghiệm thức, ngoại trừ kết quả ở lần lấy mẫu 17 và 24 ngày sau sạ. Tốc độ phát thải N2O cũng không có sự khác biệt giữa các nghiệm thức. Tuy nhiên, tốc độ phát thải biến động rất lớn sau các ngày bón phân đạm. Lượng phát thải trực tiếp từ ruộng của CH4, N2O và CO2 tương đương (CO2-eq) không có sự khác biệt giữa ba nghiệm thức, nhưng lượng CO2-eq/kg rơm ở nghiệm thức vùi rơm và rạ với Trichoderma (T1) cao hơn nghiệm thức đốt rơm (T3). Kết quả phân tích LCA cho thấy lượng phát thải khí nhà kính dao động trong khoảng 1,93 – 2,46 kg CO2-eq/kg lúa với 53 – 66% lượng phát thải trực tiếp từ trong đất. Vùi rơm rạ với Trichoderma chưa cải thiện được năng suất lúa. Tuy nhiên, phần trăm chất hữu cơ và hàm lượng đạm hữu dụng trong đất của nghiệm thức này cao hơn so với hai nghiệm thức còn lại của thí nghiệm. Nghiên cứu này chỉ mới được thực hiện một vụ, nhưng đã mang lại nhiều kết quả có thể ứng dụng cho các vụ sau
Short Biographies
No full textArndt, Ernst Moritz (1769-1860): patriotic author and historian. Born on the island of Rügen, he studied at the University of Greifswald, where in 1806 he was appointed professor of history. He expressed strongly anti‑Napoleonic views (esp. in his Geist der Zeit, 1806) and attached himself to Blücher, Gneisenau, and notably Friedrich Karl vom Stein (q.v.), whose amanuensis in St Petersburg he became. Appointed a professor at Bonn in 1818, he soon fell foul of the Carlsbad Decrees in 1819 and ..
Automatic creation of a Vowel Dataset for performing Prosody Analysis in ASD screening
No full textAutism Spectrum Disorder (ASD) is a term used to describe a constellation of early-onset social communication deficits and repetitive sensorimotor behaviours associated with a strong genetic component as well as other causes. This paper aims at creating a tool for automatically isolating segments of the speech useful for extract prosody features for identifying children with ASD. In particular, in this first phase of the research, we are interested in the creation of a large dataset of 'a' vowels of ASD and not ASD people. The 'a' vowel contains relevant information on the voice quality and emotional states. The proposed methodology is divided into 2 phases. In the former the input audio is analyzed to determine the vowel onset and offset points, useful to extract the vowel regions. Then a spectrogram graphically visualizing the identified vowels is provided as input to the second phase, where a convolutional neural network classifies whether the histogram represents the vowel 'a'. The convolutional network reaches an average accuracy of 95.00% (standard deviation ± 2.60%) on a dataset of 640 samples with Stratified 5-Fold Cross-Validation
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