160 research outputs found
Elis Gruffydd and the Welsh Historical Tradition
No full textElis Gruffydd’s Cronicl is the longest piece of original prose ever written in the Welsh language, and the first example of writing by a Welsh author for a Welsh audience produced on the Continent. In 2018, Elis’s Cronicl was added to the prestigious UNESCO UK Memory of the World Register, one of only five such recognitions in Wales, giving the Cronicl globally recognized status. Despite this, Elis’s Cronicl is understudied, a “forgotten gem” most of which has never been transcribed, translated, or published in book form. Elis lived and wrote in the British military center and staple port, Calais, which attracted a variety of nationalities, cultures, publishers, and independent thinkers. Elis is the first known Welshman to convert to Protestantism and write about his experience. He gives an eyewitness account of important events like the Field of the Cloth of Gold, the coronation of Anne Boleyn, and hearings at the Star Chamber. Most significant to me, however, is that he used the Welsh language for this document, which allowed him to create a document for the preservation of his native culture and language. Unlike his contemporary chroniclers, Elis did not write for a patron or monarch. The first-person insight of a soldier in the field is rare, especially in this period. Few scholars have examined this document, and the text has not been edited or translated in full, meaning access is greatly reduced. Only small portions of the Cronicl have ever been analyzed or published. This text, particularly the Tudor portion, is understudied, and my research provides a new historical reading of a source that has much left to reveal
Elis Gruffydd and the Welsh Historical Tradition
No full textElis Gruffydd’s Cronicl is the longest piece of original prose ever written in the Welsh language, and the first example of writing by a Welsh author for a Welsh audience produced on the Continent. In 2018, Elis’s Cronicl was added to the prestigious UNESCO UK Memory of the World Register, one of only five such recognitions in Wales, giving the Cronicl globally recognized status. Despite this, Elis’s Cronicl is understudied, a “forgotten gem” most of which has never been transcribed, translated, or published in book form. Elis lived and wrote in the British military center and staple port, Calais, which attracted a variety of nationalities, cultures, publishers, and independent thinkers. Elis is the first known Welshman to convert to Protestantism and write about his experience. He gives an eyewitness account of important events like the Field of the Cloth of Gold, the coronation of Anne Boleyn, and hearings at the Star Chamber. Most significant to me, however, is that he used the Welsh language for this document, which allowed him to create a document for the preservation of his native culture and language. Unlike his contemporary chroniclers, Elis did not write for a patron or monarch. The first-person insight of a soldier in the field is rare, especially in this period. Few scholars have examined this document, and the text has not been edited or translated in full, meaning access is greatly reduced. Only small portions of the Cronicl have ever been analyzed or published. This text, particularly the Tudor portion, is understudied, and my research provides a new historical reading of a source that has much left to reveal
Measuring GAMMA 10 end-loss ions with an ELIS (end-loss-ion spectrometers) from TMX-U
No full textThe author spent the period from March 22 to July 10, 1987, at the GAMMA 10 tandem-mirror experiment at the University of Tsukuba in Tsukuba, Japan. The purpose of this extended trip was to install on GAMMA 10 one of the end-loss-ion spectrometers (ELIS) used on TMX-U (Tandem Mirror Experiment-Upgrade) at LLNL and to make plasma measurements there with this diagnostic instrument. This report discusses the considerable planning and preparations that preceded the trip, the actual experience with the ELIS equipment at GAMMA 10, data and results obtained while the author was there, GAMMA 10 experimental procedures, the scientific and technical support during the stay, and some final comments and suggestions concerning an international exchange such as this one. The data acquired on GAMMA 10 while there, along with earlier data, present an encouraging picture of a plasma in a thermal-barrier mode in a tandem-mirror, magnetic-fusion machine. 6 refs
Principal Component Analysis (PCA) of Phytoplankton Community Relations Based on Physical-Chemical Structures for Supply Chain Management in the Waters of the Bangka Bay Region of West Bay
No full textPhytoplankton as one of the most important organisms in the territorial waters, which is the beginning of the food chain in a territorial waters. Phytoplankton have certain tolerance limits to physical-chemical factors so that they will form different community structures. The relationship between chemical physics parameters with phytoplankton communities in a territorial waters, can be used as an indicator of water quality. West Bangka Regency has considerable marine and fisheries resource potential, especially for marine aquaculture. So research on the structure of the phytoplankton community in relation to the physical-chemical parameters of seawater needs to be carried out to see indicators of fertility and availability of natural food in the waters that will be used as a marine aquaculture location. To find out the relationship between physico-chemical parameters and phytoplankton abundance, Principal Component Analysis (PCA) was used. Some physico-chemical parameters observed were temperature, brightness, pH, salinity, coated oxygen (DO), phosphate, nitrate, and ammonia. The results show the eigenvalues value of the main component 1 (PC1) represents about 41.78% of the diversity of data with its main identifying variable, namely temperature with a loading factor value of -0.885, brightness with a loading factor value of -0.8872 and salinity with a loading factor value of 0.824. For the main component 2 (PC2) represents about 28.16% of the diversity of data with its founder variable, pH with a loading factor value of -0.841. As for the main component 3 (PC3), it represents 18.67% of the diversity of data with its originating variable, Nitrate, with a loading factor value of -0,700. So that it can be formed into 3 clusters namely the first cluster is temperature and salinity, the second cluster is pH and nitrate and the third cluster is DO, phosphate, and ammonia
The diffusion and influence of theoretical models of information behaviour : the case of Savolainen's ELIS model
No full textTo ascertain the diffusion and influence of Savolainen's ELIS model and its use as a theoretical and/or methodological basis for research. A context citation analysis was made of the work where this researcher published his model. Analysis covered the year of publication, the type of work and the subject-matter of the citing documents concerned. In-context citations were analysed for their frequency in each citing text, style, location and content cited. The ELIS model received 18.5 cites/year. 20.2% of them corresponded to papers published in journals in other areas, mainly computer science. The average of cites per paper was 1.8; 64.5% of the citing works cited them only once. 60% of the cites were considered essential. Only 13.7% of these cites appear in theory or methods. 37% of the citing documents contained no concept relating to the model. The method used focuses on the most direct context of a cite (sentence or paragraph), but isolates it from the general context (full document, other documents by the author or their social capital). It has however allowed this research issue to be dealt with under laboratory conditions, and revealed nuances hidden by the absolute number of cites. It has become evident that the dissemination and influence of the ELIS model is less that what the total number of cites indicates, and that it has scarcely been incorporated into research design. Despite its popularity, it is not being validated and/or refuted by way of empirical data
Model Optimisasi Robust untuk Mengatasi Ketidaktentuan Estimasi Durasi Operasi pada Masalah Penjadwalan Ruang Operasi Rumah Sakit
No full textMasalah penjadwalan ruang operasi di rumah sakit merupakan masalah keragaman durasi operasi yang memerlukan penjadwalan untuk mengurangi tingkat kesibukan ruang operasi. Masalah yang harus diselesaikan dalam penjadwalan ruang operasi adalah bagaimana menempatkan pasien ke dalam blok ruang operasi yang tersedia secara optimal untuk meminimumkan waktu tunggu pasien. Masalah ini dapat disajikan dalam sebagai masalah optimisasi dalam formulasi mixed integer linear programming (MILP). Pada prakteknya sering terjadi ketidaktentuan estimasi durasi operasi yang dapat mengakibatkan jadwal operasi tidak berjalan sesuai perencanaan awal, sehingga pasien tidak dapat dioperasi sesuai dengan waktu yang telah ditentukan. Dalam makalah ini dikaji pemodelan masalah optimisasi tak tentu dengan menggunakan teknik pemodelan Optimisasi Robust (OR) dalam hal mengatasi ketidaktentuan estimasi durasi operasi pada masalah penjadwalan ruang operasi rumah sakit. Dalam metodologi OR diperkenalkan Robust Counterpart (RC), dimana tujuan utama yang ingin dicapai adalah menguji level robustness dengan cara menguji formulasi model robust counterpart yang dihasilkan apakah dapat direpresentasikan dalam jenis kelas masalah optimisasi yang dapat terjamin sebagai kelas masalah yang computationally tractable. Pemilihan jenis himpunan taktentu untuk merepresentasikan data taktentu yang terlibat dalam pemodelan sangat menentukan, untuk memastikan apakah formulasi robust counterpart yang diperoleh merupakan masalah yang computationally tractable atau tidak. Dapat disimpulkan bahwa model RC yang diperoleh termasuk dalam kelas masalah yang computatioonally tractability, dalam hal ini model tak tentu dapat direpresentasikan dalam formulasi model optimisasi dalam bentuk linear programming (untuk box uncertainty set) dan conic quadratic programming (untuk ellipsoidal uncertainty set)
Model Optimisasi Robust untuk Mengatasi Ketidaktentuan Estimasi Durasi Operasi pada Masalah Penjadwalan Ruang Operasi Rumah Sakit
No full textMasalah penjadwalan ruang operasi di rumah sakit merupakan masalah keragaman durasi operasi yang memerlukan penjadwalan untuk mengurangi tingkat kesibukan ruang operasi. Masalah yang harus diselesaikan dalam penjadwalan ruang operasi adalah bagaimana menempatkan pasien ke dalam blok ruang operasi yang tersedia secara optimal untuk meminimumkan waktu tunggu pasien. Masalah ini dapat disajikan dalam sebagai masalah optimisasi dalam formulasi mixed integer linear programming (MILP). Pada prakteknya sering terjadi ketidaktentuan estimasi durasi operasi yang dapat mengakibatkan jadwal operasi tidak berjalan sesuai perencanaan awal, sehingga pasien tidak dapat dioperasi sesuai dengan waktu yang telah ditentukan. Dalam makalah ini dikaji pemodelan masalah optimisasi tak tentu dengan menggunakan teknik pemodelan Optimisasi Robust (OR) dalam hal mengatasi ketidaktentuan estimasi durasi operasi pada masalah penjadwalan ruang operasi rumah sakit. Dalam metodologi OR diperkenalkan Robust Counterpart (RC), dimana tujuan utama yang ingin dicapai adalah menguji level robustness dengan cara menguji formulasi model robust counterpart yang dihasilkan apakah dapat direpresentasikan dalam jenis kelas masalah optimisasi yang dapat terjamin sebagai kelas masalah yang computationally tractable. Pemilihan jenis himpunan taktentu untuk merepresentasikan data taktentu yang terlibat dalam pemodelan sangat menentukan, untuk memastikan apakah formulasi robust counterpart yang diperoleh merupakan masalah yang computationally tractable atau tidak. Dapat disimpulkan bahwa model RC yang diperoleh termasuk dalam kelas masalah yang computatioonally tractability, dalam hal ini model tak tentu dapat direpresentasikan dalam formulasi model optimisasi dalam bentuk linear programming (untuk box uncertainty set) dan conic quadratic programming (untuk ellipsoidal uncertainty set).
Storm Eg Agent Profit and Loss Report in February 2022
No full textFinancial statements are a fundamental thing in a company. One type of financial report is the income statement. The income statement is a report that provides information on the company\u27s performance, which contains income and profit and loss expenses. This study aims to introduce good and simple income statements and understand financial statement analysis. This research uses quantitative methods by using vertical, horizontal and ratio financial analysis techniques. The result of this research is that the Storm egg agent records that the company\u27s finances are in good condition based on the ratio analysis of gross profit margin and net profit margin. Based on the vertical and horizontal analysis, it was found that the company experienced profit growth from the first period to the second period
Model Optimisasi Robust untuk Mengatasi Ketidaktentuan Estimasi Durasi Operasi pada Masalah Penjadwalan Ruang Operasi Rumah Sakit
No full textMasalah penjadwalan ruang operasi di rumah sakit merupakan masalah keragaman durasi operasi yang memerlukan penjadwalan untuk mengurangi tingkat kesibukan ruang operasi. Masalah yang harus diselesaikan dalam penjadwalan ruang operasi adalah bagaimana menempatkan pasien ke dalam blok ruang operasi yang tersedia secara optimal untuk meminimumkan waktu tunggu pasien. Masalah ini dapat disajikan dalam sebagai masalah optimisasi dalam formulasi mixed integer linear programming (MILP). Pada prakteknya sering terjadi ketidaktentuan estimasi durasi operasi yang dapat mengakibatkan jadwal operasi tidak berjalan sesuai perencanaan awal, sehingga pasien tidak dapat dioperasi sesuai dengan waktu yang telah ditentukan. Dalam makalah ini dikaji pemodelan masalah optimisasi tak tentu dengan menggunakan teknik pemodelan Optimisasi Robust (OR) dalam hal mengatasi ketidaktentuan estimasi durasi operasi pada masalah penjadwalan ruang operasi rumah sakit. Dalam metodologi OR diperkenalkan Robust Counterpart (RC), dimana tujuan utama yang ingin dicapai adalah menguji level robustness dengan cara menguji formulasi model robust counterpart yang dihasilkan apakah dapat direpresentasikan dalam jenis kelas masalah optimisasi yang dapat terjamin sebagai kelas masalah yang computationally tractable. Pemilihan jenis himpunan taktentu untuk merepresentasikan data taktentu yang terlibat dalam pemodelan sangat menentukan, untuk memastikan apakah formulasi robust counterpart yang diperoleh merupakan masalah yang computationally tractable atau tidak. Dapat disimpulkan bahwa model RC yang diperoleh termasuk dalam kelas masalah yang computatioonally tractability, dalam hal ini model tak tentu dapat direpresentasikan dalam formulasi model optimisasi dalam bentuk linear programming (untuk box uncertainty set) dan conic quadratic programming (untuk ellipsoidal uncertainty set).
The Hirsch spectrum: a novel tool for analysing scientific journals
No full textThis paper introduces the Hirsch spectrum (h-spectrum) for analyzing the academic reputation of a scientific journal. h-Spectrum is a novel tool based on the Hirsch (h) index. It is easy to construct: considering a specific journal in a specific interval of time, h-spectrum is defined as the distribution representing the h-indexes associated to the authors of the journal articles. This tool allows defining a reference profile of the typical author of a journal, compare different journals within the same scientific field, and provide a rough indication of prestige/reputation of a journal in the scientific community. h-Spectrum can be associated to every journal. Ten specific journals in the Quality Engineering/Quality Management field are analyzed so as to preliminarily investigate the h-spectrum characteristic
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