scholarly journals Generation of Melodies for the Lost Chant of the Mozarabic Rite

2019 ◽  
Vol 9 (20) ◽  
pp. 4285 ◽  
Author(s):  
Darrell Conklin ◽  
Geert Maessen
Keyword(s):  
Machine Learning ◽  
Statistical Models ◽  
Eleventh Century ◽  
Partial Information ◽  
Tenth Century ◽  
Gregorian Chant ◽  
Southern France ◽  
Music Festival ◽  
Sequence Generation ◽  
Melodic Contour

Prior to the establishment of the Roman rite with its Gregorian chant, in the Iberian Peninsula and Southern France the Mozarabic rite, with its own tradition of chant, was dominant from the sixth until the eleventh century. Few of these chants are preserved in pitch readable notation and thousands exist only in manuscripts using adiastematic neumes which specify only melodic contour relations and not exact intervals. Though their precise melodies appear to be forever lost it is possible to use computational machine learning and statistical sequence generation methods to produce plausible realizations. Pieces from the León antiphoner, dating from the early tenth century, were encoded into templates then instantiated by sampling from a statistical model trained on pitch-readable Gregorian chants. A concert of ten Mozarabic chant realizations was performed at a music festival in the Netherlands. This study shows that it is possible to construct realizations for incomplete ancient cultural remnants using only partial information compiled into templates, combined with statistical models learned from extant pieces to fill the templates.

Beneventan (South Italian/Langobardic) Script

2020 ◽  
pp. 119-142
Author(s):  
Francis Newton
Keyword(s):  
Eleventh Century ◽  
Southern Italy ◽  
Tenth Century ◽  
Eighth Century ◽  
Important Center

This chapter surveys Beneventan script, the distinctive hand of southern Italy which is particularly associated with the most important center of its use, the Abbey of Monte Cassino. Beneventan arose in the late eighth century and continued in common use through the thirteenth--and even later in isolated instances. Distinct calligraphic high points were achieved in various cities, regions, or centers at different periods, including Naples in the tenth century, Monte Cassino in the second half of the eleventh century, and the region of Bari at the same time. Caroline script was used side-by-side with Beneventan at some centers, until Caroline and Gothic scripts finally replaced Beneventan as the standard bookhand in southern Italy.

scholarly journals The northern world of the Anglo-Saxon mappa mundi

2018 ◽  
Vol 47 ◽  
pp. 275-305
Author(s):  
Helen Appleton
Keyword(s):  
Old English ◽  
Urban Space ◽  
Eleventh Century ◽  
Tenth Century ◽  
Urban Spaces ◽  
British Library ◽  
Anglo Saxon ◽  
The Mediterranean

AbstractThe Anglo-Saxon mappa mundi, sometimes known as the Cotton map or Cottoniana, is found on folio 56v of London, British Library, Cotton Tiberius B. v, which dates from the first half of the eleventh century. This unique survivor from the period presents a detailed image of the inhabited world, centred on the Mediterranean. The map’s distinctive cartography, with its emphasis on islands, seas and urban spaces, reflects an Insular, West Saxon geographic imagination. As Evelyn Edson has observed, the mappa mundi appears to be copy of an earlier, larger map. This article argues that the mappa mundi’s focus on urban space, translatio imperii and Scandinavia is reminiscent of the Old English Orosius, and that it originates from a similar milieu. The mappa mundi’s northern perspective, together with its obvious dependence on and emulation of Carolingian cartography, suggest that its lost exemplar originated in the assertive England of the earlier tenth century.

Machine Learning-based Prediction Models for Diagnosis and Prognosis in Inflammatory Bowel Diseases: A Systematic Review

2021 ◽  
Author(s):  
Nghia H Nguyen ◽  
Dominic Picetti ◽  
Parambir S Dulai ◽  
Vipul Jairath ◽  
William J Sandborn ◽  
...  
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Risk Prediction ◽  
Statistical Models ◽  
Prediction Models ◽  
Risk Of Bias ◽  
Learning Models ◽  
Bowel Diseases ◽  
Inflammatory Bowel ◽  
Machine Learning Models

Abstract Background and Aims There is increasing interest in machine learning-based prediction models in inflammatory bowel diseases (IBD). We synthesized and critically appraised studies comparing machine learning vs. traditional statistical models, using routinely available clinical data for risk prediction in IBD. Methods Through a systematic review till January 1, 2021, we identified cohort studies that derived and/or validated machine learning models, based on routinely collected clinical data in patients with IBD, to predict the risk of harboring or developing adverse clinical outcomes, and reported its predictive performance against a traditional statistical model for the same outcome. We appraised the risk of bias in these studies using the Prediction model Risk of Bias ASsessment (PROBAST) tool. Results We included 13 studies on machine learning-based prediction models in IBD encompassing themes of predicting treatment response to biologics and thiopurines, predicting longitudinal disease activity and complications and outcomes in patients with acute severe ulcerative colitis. The most common machine learnings models used were tree-based algorithms, which are classification approaches achieved through supervised learning. Machine learning models outperformed traditional statistical models in risk prediction. However, most models were at high risk of bias, and only one was externally validated. Conclusions Machine learning-based prediction models based on routinely collected data generally perform better than traditional statistical models in risk prediction in IBD, though frequently have high risk of bias. Future studies examining these approaches are warranted, with special focus on external validation and clinical applicability.

scholarly journals BEHIND HARTKER’S ANTIPHONER: NEGLECTED FRAGMENTS OF THE EARLIEST SANKT GALLEN TONARY

2018 ◽  
Vol 37 ◽  
pp. 183-246
Author(s):  
Henry Parkes
Keyword(s):  
Nineteenth Century ◽  
Tenth Century ◽  
Gregorian Chant

Prior to the famous Hartker Antiphoner (Sankt Gallen, Stiftsbibliothek, Cod. 390/391), copied in Sankt Gallen c. 1000, there survives no complete, fully-notated witness to the Romano-Frankish chant repertory for the Office. Scholars have long known about the related tonary, possibly a decade older, in which the Sankt Gallen repertory is to be found ordered by melody. But unrecognised until now are the remains of a second tonary (Stadtarchiv Goslar, Handschriftenfragmente MThMu 1/1), datable to the early tenth century. The combined testimony of these two tonaries, together with other surviving fragments, is taken as the basis for a reassessment of the Office repertory in tenth-century Sankt Gallen. Nineteenth-century scholarship gave Hartker’s Antiphoner an arguably undeserved reputation as an authorised monument of Gregorian Chant. This view seems unsustainable in the light of many apparent editorial interventions, yet it may be precisely what the monks had set out to achieve.

scholarly journals Las técnicas constructivas en las murallas medievales de Almería

X ◽  
2020 ◽  
Author(s):  
Pedro Gurriarán Daza
Keyword(s):  
Fifteenth Century ◽  
Middle Ages ◽  
Eleventh Century ◽  
Tenth Century ◽  
Rammed Earth ◽  
Construction Techniques ◽  
Typical Scheme ◽  
The Creation ◽  
The Middle Ages

Building techniques in the medieval walls of AlmeríaAlmería was one of the most important cities in al-Andalus, a circumstance that was possible thanks to the strength of its port. Its foundation as an urban entity during the Caliphate of Córdoba originated a typical scheme of an Islamic city organized by a medina and a citadel, both walled. Subsequent city’s growths, due to the creation of two large suburbs commencing in the eleventh century, also received defensive works, creating a system of fortifications that was destined to defend the place during the rest of the Middle Ages. In this work we will analyse the construction techniques used in these military works, which cover a wide period from the beginning of the tenth century until the end of the fifteenth century. Although ashlar stone was used in the Caliphate fortification, in most of these constructions bricklayer techniques were used, more modest but very useful. In this way, the masonry and rammed earth technique were predominant, giving rise to innumerable constructive phases that in recent times are being studied with archaeological methodology, thus to know better their evolution and main characteristics. 

Lusterware Made in the Abbadid Taifa of Seville (Eleventh Century) and Its Early Production in the Mediterranean Region

2014 ◽  
Vol 31 (1) ◽  
pp. 245-276 ◽  
Author(s):  
Carmen Barceló ◽  
Anja Heidenreich
Keyword(s):  
Eleventh Century ◽  
Tenth Century ◽  
Relevant Information ◽  
Ceramic Production ◽  
Luxury Goods ◽  
History Of ◽  
Early Production ◽  
The Mediterranean ◽  
Del Rio ◽  
Made In

This article presents a study of the expansion of Islamic lusterware across the Mediterranean before its production was fully consolidated in al-Andalus between the end of the twelfth and the thirteenth century. A number of examples are presented here that indicate a flourishing trade around the Mediterranean as early as the tenth century, including pottery as well as other luxury goods. A survey of lusterware found on the Iberian Peninsula has yielded relevant information on the complex technical history of local luster production. We present seven Andalusi luster fragments from the eleventh century that feature decoration on both sides, with one piece bearing epigraphic inscriptions naming two of the Abbadid rulers of Seville, al-Muʿtaḍid and al-Muʿtamid. Discovered in Spain (Seville and Palma del Rio) and Portugal (Silves and Coimbra), these fragments indicate the existence of a ceramic production center in Seville and another at the Abbadid palace during the second half of the eleventh century. These pieces indicate the direct and marked influence that the various centers of luxury luster production in the Islamic East and West exerted on one another, a phenomenon not uncommon in the history of Islamic pottery.


Metaheuristic based MLP-SARIMAX HybridizationOne Hour Ahead Solar Radiation Forecasting

2021 ◽  
Author(s):  
Hugo Abreu Mendes ◽  
João Fausto Lorenzato Oliveira ◽  
Paulo Salgado Gomes Mattos Neto ◽  
Alex Coutinho Pereira ◽  
Eduardo Boudoux Jatoba ◽  
...  
Keyword(s):  
Machine Learning ◽  
Genetic Algorithm ◽  
Time Series ◽  
Solar Radiation ◽  
Statistical Models ◽  
Clean Energy ◽  
Machine Learning Techniques ◽  
Exogenous Variables ◽  
Learning Techniques ◽  
Photovoltaic Plants

Within the context of clean energy generation, solar radiation forecast is applied for photovoltaic plants to increase maintainability and reliability. Statistical models of time series like ARIMA and machine learning techniques help to improve the results. Hybrid Statistical + ML are found in all sorts of time series forecasting applications. This work presents a new way to automate the SARIMAX modeling, nesting PSO and ACO optimization algorithms, differently from R's AutoARIMA, its searches optimal seasonality parameter and combination of the exogenous variables available. This work presents 2 distinct hybrid models that have MLPs as their main elements, optimizing the architecture with Genetic Algorithm. A methodology was used to obtain the results, which were compared to LSTM, CLSTM, MMFF and NARNN-ARMAX topologies found in recent works. The obtained results for the presented models is promising for use in automatic radiation forecasting systems since it outperformed the compared models on at least two metrics.

Invited Commentary: Quantitative Bias Analysis can see the Forest for the Trees

2021 ◽  
Author(s):  
Paul Gustafson
Keyword(s):  
Machine Learning ◽  
Statistical Models ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Bias Analysis ◽  
Quantitative Bias Analysis

Abstract The article by Jiang et al (Am J. Epidemiol.) extends quantitative bias analysis from the realm of statistical models to the realm of machine learning algorithms. Given the rooting of statistical models in the spirit of explanation and the rooting of machine learning algorithms in the spirt of prediction, this extension is thought provoking indeed. Some such thoughts are expounded here.

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