6,183 research outputs found
Bishop John Nicholas Wurm speaks at the groundbreaking for the School of Nursing
No full textRecently ordained Bishop John Nicholas Wurm offers congratulations and the Benediction at the groundbreaking for the School of Nursing on the Health Sciences Campus of Saint Louis University. (24 September 1976) [A Richard Finke Photograph, 29 (1003) 04
Icon of Saint Nicholas
No full textSt. Nicholas was the Defender of Orthodoxy, Wonderworker, Holy Hierarch, Bishop of Myra. The Icon showed him with a halo, dressed in clerical garb, and holding a book of the scriptures in his left hand while making the hand gesture for the sign of the cross with his right.Original file name fullsizeoutput_1661.jpe
Icon of Saint Nicholas
No full textSt. Nicholas was the Defender of Orthodoxy, Wonderworker, Holy Hierarch, Bishop of Myra. The Icon showed him with a halo, dressed in clerical garb, and holding a book of the scriptures in his left hand while making the hand gesture for the sign of the cross with his right.Original file name fullsizeoutput_1661.jpe
Letter from Nicholas Power to Hagan
No full textHolograph letter from Nicholas Power, St. John's College, Waterford, to Hagan, regretting he cannot be in Rome for the tercentenary dinner; their bishop is going there, however
More on the lead seal of bishop Nicholas from Pliska
No full textUnearthed more than 20 years ago during archaeological excavations and research of Prince Boris' Large Basilica in the capital centre of Pliska, the seal of Bishop Nicholas raises interesting questions about the first
Archbishopric of the Bulgarian church. This discovery stimulated the appearance of a number of publications about it.
The author was the first one to write short communications about this important sphragistic monument in two daily newspapers after its discovery. The present article is its first analysis on the pages of a scholarly publication.
The lead form has a diameter of 25-26 mm and is 1-1,5 mm thick. On the obverse within a pointed circle is represented St. Nicholas in a bishop's
attire with his right hand raised for blessing. With his left hand he holds a Gospels book in front of him. Above the image there is a Greek inscription which begins with a cross: +ΑΓ’ΝΚWΛ’Β’Τ’ΔΟ meaning: +˝Αγ(ιε) Νηχολ(άω) β(οήθει) τ(ῶ) δο(ύλω σού).
On the reverse there is also a pointed ring. The inscription follows divided into four lines. Above the first line in the upper part of the pictorial field is placed a four-arm cross with a "foliate" base of the vertical arm. The
inscription reads:
ΗΚΟΛΑW — Νηχολάω, ΕΠΙCΚΟΠW — έπισϰόπω,
ΘΕΟΒΟΥΛ — Θεο(σεβεί) Βουλ-, ΕΙΑC — (γαρ)είας
+˝Αγιε Νηχολάω βοήθει τῶ δούλω σού Νηχολάω έπισϰόπω Θεοσεβεί Βουλγαρείας.
Since it is impossible to specify a place name Theoboul'ta, I fill in the missing parts in the last fourth and fifth lines and read the inscription as follows: + Saint Nicholas, help thy servant Nicholas, the pious Bishop of Bulgaria. The seal can be dated between 865 and 880 AD
Accounting for real world phenomena in machine learning and mechanism design
No full textAs data becomes more readily available, individuals and organisations are increasingly relying on automated systems to make decisions on their behalf. Both machine learning and mechanism design play key roles in the design of such systems. Machine learning is often deployed to learn complex decision rules that mimic or improve upon those adopted by humans. Meanwhile, mechanism design is often deployed to ensure that decision rules satisfy certain axiomatic properties of interest to the designer, such as fairness and incentive compatibility. Unfortunately, many real world settings fall outside the scope of traditional machine learning and mechanism design frameworks. This thesis investigates how approaches from mechanism design and machine learning can be rigorously extended and adapted for such settings to yield meaningful theoretical guarantees.In particular, we investigate three problem domains; 1) linear regression in the presence of strategic agents, 2) sequential resource deployment with reusable resources and 3) repeated matching with reusable resources. For the first problem domain, we provide a theoretical framework based on Stackelberg predictions games. When the incentives of agents can be captured by a square loss function, we provide a polynomial time algorithm minimising Stackelberg risk, a natural analog to risk in classical supervised learning. For the second problem domain, we introduce a new multi-armed bandit model, called the adversarial blocking bandit problem, which incorporates nonstationary reward sequences and resource unavailability. In particular, we provide finite-time regret guarantees for this setting, by benchmarking against an oracle algorithm which approximates the optimal arm pulling policy. Lastly, for the third problem domain, we introduce a new sequential matching setting, in which a central planner is tasked with constructing matchings repeatedly through time under the assumption that some goods or services may become temporarily unavailable once assigned. Motivated by the random serial dictatorship algorithm, we construct an algorithm for the setting which is approximately truthful and approximately maximises social welfare
Shanxi (China), deforested mountains near the Great Wall
No full textMountains of northern Shansi, near the line of the Great Wall, showing deforestation. Records show that these mountains were once clad withe magnificent deciduous forests.Image is included in the research conducted by Carl Whiting Bishop for the article: The Geographical Factor in the Development of Chinese Civilization
Author(s): Carl Whiting Bishop
Source: Geographical Review, Vol. 12, No. 1 (Jan., 1922), pp. 19-41
Published by: American Geographical Society
Stable URL: http://www.jstor.org/stable/208654http://www.jstor.org/stable/208654Grayscal
Shanxi (China), river bottom ruined by deforestation
No full textTorrent bed in northern Shansi, showing how deforestation has ruined valuable river bottoms by allowing gravel and boulders to be washed down over them.Image is included in the research conducted by Carl Whiting Bishop for the article: The Geographical Factor in the Development of Chinese Civilization
Author(s): Carl Whiting Bishop
Source: Geographical Review, Vol. 12, No. 1 (Jan., 1922), pp. 19-41
Published by: American Geographical Society
Stable URL: http://www.jstor.org/stable/208654http://www.jstor.org/stable/208654Grayscal
The clergy of the deaneries of Rochester and mailing in the diocese of Rochester, c. 1770 – 1870
No full textThis is a study of the concerns and life - style of the clergy of the established Church in two Kent Deaneries throughout the hundred year period, 1770 -1870. How far, it is considered, were episcopal hopes, which were expressed in the Charges of Bishop and Archdeacon, fulfilled in the parishes, especially in the matters of residence and education. The extent of non-residence is deduced from. such evidence as is available for the earlier part of the period and after 1830 from Visitation and other returns. The provision of Sunday Schools is used as an example of clerical response to a diocesan policy in the field of education. The exercise of patronage, residence, plurality, the length ofincumbencies, the employment of curates and their prospects, are looked at throughout the period. The provision of new churches, agrarian unrest, tithe and clerical emoluments, church rate, relationship with dissent, worship provision , the visitation process, the clergyman's role in society, the differing demands of town ministry and rural ministry are examined as events bring them to the fore . The priorities of successive bishops are noted and the lives of sample clergymen are taken for each period, both to flesh-out the statistics and to illustrate the evolving pattern of ministry
Explicit Explore, Exploit, or Escape (): near-optimal safety-constrained reinforcement learning in polynomial time
No full textIn reinforcement learning (RL), an agent must explore an initially unknown
environment in order to learn a desired behaviour. When RL agents are deployed
in real world environments, safety is of primary concern. Constrained Markov
decision processes (CMDPs) can provide long-term safety constraints; however,
the agent may violate the constraints in an effort to explore its environment.
This paper proposes a model-based RL algorithm called Explicit Explore,
Exploit, or Escape (), which extends the Explicit Explore or Exploit
() algorithm to a robust CMDP setting. explicitly separates
exploitation, exploration, and escape CMDPs, allowing targeted policies for
policy improvement across known states, discovery of unknown states, as well as
safe return to known states. robustly optimises these policies on the
worst-case CMDP from a set of CMDP models consistent with the empirical
observations of the deployment environment. Theoretical results show that
finds a near-optimal constraint-satisfying policy in polynomial time whilst
satisfying safety constraints throughout the learning process. We then discuss
as a practical algorithmic framework, including robust-constrained
offline optimisation algorithms, the design of uncertainty sets for the
transition dynamics of unknown states, and how to further leverage empirical
observations and prior knowledge to relax some of the worst-case assumptions
underlying the theory.Comment: Accepted at Machine Learnin
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