Redundant disc

A rotatable disc is described that consists of parallel plates tightly joined together for rotation about a hub. Each plate is provided with several angularly projecting spaced lands. The lands of each plate are interposed in alternating relationship between the lands of the next adjacent plate. In this manner, circumferential displacement of adjacent sectors in any one plate is prevented in the event that a crack develops. Each plate is redundantly sized so that, in event of structural failure of one plate, the remaining plates support a proportionate share of the load of the failed plate. The plates are prevented from separating laterally through the inclusion of generally radially extending splines which are inserted to interlock cooperating, circumferentially adjacent lands

An improved turbine disk design to increase reliability of aircraft jet engines

An analytical study was performed on a novel disk design to replace the existing high-pressure turbine, stage 1 disk on the CF6-50 turbofan engine. Preliminary studies were conducted on seven candidate disk design concepts. An integral multidisk design with bore entry of the turbine blade cooling air was selected as the improved disk design. This disk has the unique feature of being redundant such that if one portion of the disk would fail, the remaining portion would prevent the release of large disk fragments from the turbine system. Low cycle fatigue lives, initial defect propagation lives, burst speed, and the kinetic energies of probable disk fragment configurations were calculated, and comparisons were made with the existing disk, both in its current material, IN 718, and with the substitution of an advanced alloy, Rene 95. The design for redundancy approach which necessitated the addition of approximately 44.5 kg (98 lb) to the design disk substantially improved the life of the disk. The life to crack initiation was increased from 30,000 cycles to more than 100,000 cycles. The cycles to failure from initial defect propagation were increased from 380 cycles to 1564 cycles. Burst speed was increased from 126 percent overspeed to 149 percent overspeed. Additionally, the maximum fragment energies associated with a failure were decreased by an order of magnitude

Benchmark notch test for life prediction

Aircraft gas turbine engine components are subjected to severe stress, temperature, and environmental conditions. Economic and reliabilty demands have prompted inordinate effort in development of analytic methods to predict stresses and strains in aircraft engines. There remains, however, the need to check or verify these analytical methodologies against actual experimental data measurements. The laser interferometric strain displacement gage was recognized as having the potential to accomplish this task and was employed in this program. The actual strains incurred at the root of a discontinuity in cyclically loaded test samples subjected to inelastic deformation at high temperature where creep deformation readily occur were measured. The steady-state, cyclic stress-strain response at the root of the discontinuity in the tested samples was analyzed for comparison with the measured results. A comprehensive set of local notch root strain measurements for a variety of load patterns in an Inconel 718 notch specimen at 649 C (1200 F) was obtained and documented using the laser interferometric strain displacement gage

GAMBARAN STATUS GIZI PADA BALITA ISPA USIA 0-5 TAHUN DI PUSKESMAS BARENG KABUPATEN JOMBANG TAHUN 2014: The Description of Nutritional Status to Toddler URI Age 0-5 Years in PHC Bareng Jombang

Pendahuluan : ISPA pada balita masih merupakan penyebab kematian terbanyak di Propinsi Jawa Timur, yakni sebesar 22,8 % atau sebesar 46 kematian per 1000 balita dan dampaknya bisa terjadi komplikasi sampai terjadi kematian. Berdasarkan data Dinas Kesehatan Kabupaten Jombang antara bulan Januari sampai dengan Desember 2012 diperoleh data  bahwa kasus ISPA di Puskesmas Bareng Kabupaten Jombang yaitu sebanyak 5.364 orang  kasus ISPA, ini mengalami penurunan sedangkan, tahun 2013  ditemukan kasus ISPA sebanyak 4.259 orang (Dinas Kesehatan Jombang 2013). Tujuan penelitian ini adalah mengetahui gambaran status gizi pada balita ISPA di Puskesmas Bareng Kabupaten Jombang tahun 2014.  Metode :  Desain penelitian ini adalah metode deskriptif dengan, Dengan jumlah populasi yaitu 320 balita, dan jumlah sampel 64 balita dengan menggunakan teknik pengambilan sampling Purposive Sampling. Pengumpulan data untuk kejadian ISPA dengan melihat catatan medik klien dan untuk status gizi dengan melakukan penimbangan berat badan bayi beserta umur, kemudian dianalisa dengan tehnik editing, coding, skoring dan tabulating. Hasil : Penelitian dilakukan pada tanggal 07-13 Agustus 2014. Dari hasil penelitian diketahui Status Gizi balita di Puskesmas Bareng Kabupaten Jombang tahun 2014 hampir setengah balita adalah kurang energi protein (KEP) ringan yaitu sebanyak 29 balita (45,3%). Pembahasan : Status gizi sangat mempengaruhi kejadian ISPA pada balita, maka dari itu para orang tua sangat disarankan untuk menjaga kondisi lingkungan yang bersih dan sehat, imunisasi lengkap, pemberian ASI ekslusif selama 6 bulan keadaan gizi balita agar tetap baik dengan cara   memberikan makanan yang bergizi pada balita, sedikit – sedikit tetapi berulang- ulang atau lebih sering dari biasanya. Kata kunci : Balita, ISPA, status giz

Adult Education in Malta: Challenges and Prospects

Lifelong learning has long been a topic of discussion in Malta but, as this article shows, barriers to participation continue to exist. This article outlines the historical and economic changes that have led Malta to its present situation where adult education largely focuses on employment skills. Although available through a variety of channels, challenges still need to be met to ensure the participation of groups such as women, older people and immigrants. This article advocates a national strategy for adult education within which a balance is struck between learning for employment and learning as a public good.peer-reviewe

A deep‐learning framework for enhancing habitat identification based on species composition

Aims The accurate classification of habitats is essential for effective biodiversity conservation. The goal of this study was to harness the potential of deep learning to advance habitat identification in Europe. We aimed to develop and evaluate models capable of assigning vegetation-plot records to the habitats of the European Nature Information System (EUNIS), a widely used reference framework for European habitat types. Location The framework was designed for use in Europe and adjacent areas (e.g., Anatolia, Caucasus). Methods We leveraged deep-learning techniques, such as transformers (i.e., models with attention components able to learn contextual relations between categorical and numerical features) that we trained using spatial k-fold cross-validation (CV) on vegetation plots sourced from the European Vegetation Archive (EVA), to show that they have great potential for classifying vegetation-plot records. We tested different network architectures, feature encodings, hyperparameter tuning and noise addition strategies to identify the optimal model. We used an independent test set from the National Plant Monitoring Scheme (NPMS) to evaluate its performance and compare its results against the traditional expert systems. Results Exploration of the use of deep learning applied to species composition and plot-location criteria for habitat classification led to the development of a framework containing a wide range of models. Our selected algorithm, applied to European habitat types, significantly improved habitat classification accuracy, achieving a more than twofold improvement compared to the previous state-of-the-art (SOTA) method on an external data set, clearly outperforming expert systems. The framework is shared and maintained through a GitHub repository. Conclusions Our results demonstrate the potential benefits of the adoption of deep learning for improving the accuracy of vegetation classification. They highlight the importance of incorporating advanced technologies into habitat monitoring. These algorithms have shown to be better suited for habitat type prediction than expert systems. They push the accuracy score on a database containing hundreds of thousands of standardized presence/absence European surveys to 88.74%, as assessed by expert judgment. Finally, our results showcase that species dominance is a strong marker of ecosystems and that the exact cover abundance of the flora is not required to train neural networks with predictive performances. The framework we developed can be used by researchers and practitioners to accurately classify habitats

Collection Development Policies in Public Libraries in Australia: A Qualitative Content Analysis

The role that public library collection development polices play inguiding selectors and informing users has been promoted as a pillar of good professional practice. While these policies purport to open up the methods and the criteria used in selection so as to promote transparency and a sense of professional objectivity, how they actually are developed and put into practice has remained largely implicit in the research literature. This analysis revealedthat policies tended to focus on local issues and remained heavily materials focused. How collections are developed to support user’s information needs and substantive issues associated with topicality are largely unarticulated

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications