Miracle-dz/UniFAR-FTUs huggingface dataset:
Numismatic and archaeological collecting in northern Sicily during the first half of the nineteenth century

This research examines the archaeological protection system and antiquarian collecting in northern Sicily, in particular in the coastal strip from Palermo to Messina during the first half of the nineteenth century. Substantially, the most represented historical period is the Kingdom of the Two Sicilies (1814-1861). The strength of the research, which is relevant to the history of Sicilian coin collecting and archaeology, is a substantial set of materials, discovered at the State Archive of Palermo and Fondazione Mandralisca of CefalA'. It comprises 141 archival records, which have been transcribed, ordered and studied thoroughly. Chapter 1 contains a general introduction about Sicilian archaeological protection systems and antiquarianism from the end of the eighteenth century to the post-Unification period. Chapter 2, based mainly on archival records, focuses on Palermo, the most important city of the Bourbon Sicily, where Authorities managed and protected island antiquities. Sections describe the collections of Tommaso Gandolfo and Antonino Astuto, acquired by the Museum of the University, and the discovery of coins at Giarre in 1832. Enrico Pirajno's activities at CefalA' and Lipari are also examined in this chapter - he is considered one of the most skilful Sicilian antiquarians during the first half of the nineteenth century. The last section reports a significant numismatic discovery in the CefalA' Valley in 1824. Chapter 4 describes Tindari, where the Sciacca della Scala family led antiquarian research from the late eighteenth century until the late nineteenth century. Their collection of finds, kept in a private museum at the Castle of Scala di Patti is now lost. Chapter 5 discusses Giuseppe Grosso Cacopardo, the well-known coin collector from Messina (including the recent discovery of a special 'export' of ancient coins, found in Messina in 1845, to the King of Bavaria. The work's conclusion offers a final historical reconstruction of the numismatic and archaeological collecting in northern Sicily, according to new and substantial records. Five appendices report archival documentation, arranged in thematic sections.
A Neighborhood That Never Changes: Gentrification, Social Preservation, and the Search for Authenticity

Newcomers to older neighborhoods are usually perceived as destructive, tearing down everything that made the place special and attractive. But as "A Neighborhood That Never Changes" demonstrates, many gentrifiers seek to preserve the authentic local flavor of their new homes, rather than ruthlessly remake them. Drawing on ethnographic research in four distinct communities - the Chicago neighborhoods of Andersonville and Argyle and the New England towns of Provincetown and Dresden - Japonica Brown-Saracino paints a colorful portrait of how residents new and old, from wealthy gay homeowners to Portuguese fishermen, think about gentrification. The new breed of gentrifiers, Brown-Saracino finds, exhibits an acute self-consciousness about their role in the process and works to minimize gentrification's risks for certain longtime residents. In an era of rapid change, they cherish the unique and fragile, whether a dilapidated house, a two-hundred-year-old landscape, or the presence of people deeply rooted in the place they live. Contesting many long-standing assumptions about gentrification, Brown-Saracino's absorbing study reveals the unexpected ways beliefs about authenticity, place, and change play out in the social, political, and economic lives of very different neighborhoods.
Reported speech : empirical corpus findings compared with EFL/ESL textbook presentations

This study uses the method of corpus linguistics to investigate a particular grammatical topic in English: Reported Speech. First, presentations of reported speech in seven ESUEFL (English as a Second/Foreign Language) grammar textbooks are analyzed. The results of the analysis show what information ESUEFL students currently receive from textbooks about reported speech. Second, a corpus study is implemented to determine how people actually use reported speech in real life. The results of the empirical corpus study represent authentic, naturally-occurring language and reported speech patterns in two registers of American English: Newspaper Writing and Conversation. Third, the results from the corpus study are compared with the results from the textbook analysis. This comparison establishes the extent to which the textbooks present real-life reported speech in terms of 1) reporting verbs used, 2) verb tense changes, and 3) register variation. The findings reveal that some aspects of the textbooks' presentations reflect naturallyoccurring language and other aspects do not. Most importantly, the empirical corpus findings point to register variation as an essential component in describing reported speech accurately. Reported speech behaves much differently in the Conversation register than in the News register. ~eported speech also occurs more than three times as often in News than in Conversation. The textbooks do not address these register variations. Additionally, in all registers, the verb say emerges as the most common reporting verb, followed by tell. Most other reporting verbs presented in the textbooks are relatively infrequent The verb tense "backshifting" process advocated in the textbooks occurs in only . ,50 to . ,70 percent of reported speech instances. Therefore, the alternative verb tense combinations, Past-Present, Present-Present, and Present-Past occur more frequently than the textbooks claim. Findings from this study can be used to further inform our grammatical descriptions of reported speech. ESUEFL textbook and materials writers can use these findings to prioritize their presentations of reported speech according to naturally-occurring usage patterns.
A multicenter review of histopathology of variants in the context of upper urinary tract urothelial carcinoma and their impact on clinical outcomes

Introduction Similar to bladder cancer, about one third of upper tract urothelial carcinoma (UTUC) present variant histology (VH). We aim to evaluate the incidence, clinical characteristics and the impact on outcomes of VH in UTUC. Methods We consecutively enrolled 77 patients from 2009-2022 treated with radical surgery for UTUC from a secondary and a tertiary referral center. A central pathology review of all specimens was performed by one independent uropathologist for each center. We compared pure UTUC and UTUC with VH and the accuracy of endoscopic biopsy. Descriptive and comparative analysis were used to assess association with clinical characteristics and the Kaplan-Meier estimator to compare outcomes.
UvA-DARE (Digital Academic Repository) Reinforcement Learning-based Collective Entity Alignment with Adaptive Features

Entity alignment (EA) is the task of identifying the entities that refer to the same real-world object but are located in different knowledge graphs (KGs). For entities to be aligned, existing EA solutions treat them separately and generate alignment results as ranked lists of entities on the other side. Nevertheless, this decision-making paradigm fails to take into account the interdependence among entities. Although some recent efforts mitigate this issue by imposing the 1-to-1 constraint on the alignment process, they still cannot adequately model the underlying interdependence and the results tend to be sub-optimal. To fill in this gap, in this work, we delve into the dynamics of the decision-making process, and offer a reinforcement learning (RL)–based model to align entities collectively. Under the RL framework, we devise the coherence and exclusiveness constraints to characterize the interdependence and restrict collective alignment. Additionally, to generate more precise inputs to the RL framework, we employ representative features to capture different aspects of the similarity between entities in heterogeneous KGs, which are integrated by an adaptive feature fusion strategy. Our proposal is evaluated on both cross-lingual and mono-lingual EA benchmarks and compared against state-of-the-art solutions. The empirical results verify its effectiveness and superiority.
Limiting factors for crayfish and finfish in acidic coal pit lake

World-wide, open-cut mining operations often leave pit lakes at closure. The Collie Lake District in south-west Australia has 13 pit lakes from open-cut coal extraction, with more expected. Many lakes may offer beneﬁcial end uses as ﬁsheries habitat for biodiversity or for recreational species. However, pit lakes may have degraded water quality due to Acid and Metalliferous Drainage (AMD). A literature review and survey for marron (endemic crayﬁsh of biodiversity and recreational value) and ﬁn-ﬁsh (of only biodiversity value) found that crayﬁsh were likely more limited by habitat and food availability, and ﬁn-ﬁsh by water quality. Management of these mild acidic water bodies must address both issues if sustainable ﬁsheries and aquatic biodiversity are desired beneﬁcial end uses.
Normal Pressure Hydrocephalus Findings in 108 Patients with Idiopathic Preoperative Prognostic Value of MRI

BACKGROUND AND PURPOSE: MR imaging is used in the diagnostic evaluation of patients with idiopathic normal pressure hydrocephalus. The aim of this study was to describe the prevalence of several imaging features and their prognostic use in the selection of shunt candidates with idiopathic normal pressure hydrocephalus. MATERIALSANDMETHODS: PreoperativeMRimagingscansofthebrainwereretrospectivelyevaluatedin108patientswithidiopathicnormal pressure hydrocephalus who had undergone a standardized, clinical evaluation before and 12 months after shunt surgery. The MR imaging featuresinvestigatedweretheEvansindex,callosalangle,narrowsulciatthehighconvexity,dilationoftheSylvianﬁssure,diametersofthethird ventricle and temporal horns, disproportionately enlarged subarachnoid space hydrocephalus, ﬂow void through the aqueduct, focal bulging of the roofofthelateralventricles,deepwhitematterhyperintensities,periventricularhyperintensities,andfocalwideningofsulciandaqueductalstenosis. RESULTS: Inlogisticregressionmodels,withshuntoutcomeasadependentvariable,theORsfortheindependentvariables,callosalangle, disproportionately enlarged subarachnoid space hydrocephalus, and temporal horns, were signiﬁcant ( P (cid:2) . 05), both in univariate analyses and when adjusted for age, sex, and previous stroke. CONCLUSIONS: A small callosal angle, wide temporal horns, and occurrence of disproportionately enlarged subarachnoid space hydrocephalus are common in patients with idiopathic normal pressure hydrocephalus and were signiﬁcant predictors of a positive shunt outcome. These noninvasive and easily assessed radiologic markers could aid in the selection of candidates
Aﬃne Volterra processes

We introduce aﬃne Volterra processes, deﬁned as solutions of certain stochastic convolution equations with aﬃne coeﬃcients. Classical aﬃne diﬀusions constitute a special case, but aﬃne Volterra processes are neither semimartingales, nor Markov processes in general. We provide explicit exponential-aﬃne representations of the Fourier– Laplace functional in terms of the solution of an associated system of deterministic integral equations of convolution type, extending well-known formulas for classical aﬃne diﬀusions. For speciﬁc state spaces, we prove existence, uniqueness, and invariance properties of solutions of the corresponding stochastic convolution equations. Our arguments avoid inﬁnite-dimensional stochastic analysis as well as stochastic integration with respect to non-semimartingales, relying instead on tools from the theory of ﬁnite-dimensional deterministic convolution equations. Our ﬁndings generalize and clarify recent results in the literature on rough volatility models in ﬁnance.
Une approche intégrée du risque avalanche : quantification de la vulnérabilité physique et humaine et optimisation des structures de protection

La quantification du risque avalanche a long terme dans un but de zonage et d'optimisation des moyens de protection est fait dans la plupart des pays sur la base de la connaissance des evenements de forte intensite. Ces approches fondees sur les periodes de retours, centrees uniquement sur l'alea, ne considerent pas explicitement les elements a risque etudies (bâtiments, personnes a l'interieur, etc.) et negligent les possibles contraintes budgetaires. Afin de palier a ces limitations, les methodes de zonage bases sur le risque et les analyses cout-benefice ont recemment emergees. Elles combinent la distribution de l'alea avec les relations de vulnerabilite des elements etudies. Ainsi, l'evaluation systematisee de la vulnerabilite des bâtiments permet de mieux quantifier le risque dans un couloir d'avalanche donne. Cependant, en pratique, les relations de vulnerabilite disponibles restent principalement limitees a de rares estimations empiriques deduites de l'analyse de quelques catastrophes survenues. De plus, les methodes existantes basees sur le risque font face a des calculs encore lourds, et les hypotheses sur la modelisation de l'alea sont discutables (choix de quelques scenarios, faible consideration des valeurs extremes, etc.). Dans cette these, ces problemes sont abordes en construisant grâce a une approche fiabiliste des relations de fragilite de differents configurations de bâtiments en beton arme (BA) sollicites par des avalanches de neige et egalement des relations de fragilite pour les personnes potentiellement a l'interieur de ces bâtiments. Ces relations sont ensuite utilisees dans un cadre de quantification du risque et de recherche de structure de defense optimale. L'apport de cette these est donc l'enrichissement de la caracterisation de la vulnerabilite et du risque face aux avalanches par des approches de complexites variables utilisables en fonction de la specificite du cas et du temps imparti pour conduire l'etude. La these est composee de quatre volets. D'abord, les courbes de fragilite associees a differents etats limites de murs en BA soumis au chargement uniforme d'une avalanche sont obtenues a partir d'approches classiques de dimensionnement du BA. Ensuite, l'approche est etendue a des modeles numeriques de bâtis plus riches (modele masse-ressort) permettant de decrire en particulier l'evolution temporelle de la reponse du systeme. A partir de ces relations de fragilite, de nouvelles relations pour les personnes a l'interieur de ces bâtiments sont proposees. Ces relations pour les bâtiments et les personnes sont utilisees dans une analyse complete de sensibilite du risque. Enfin, une formule analytique du risque basee sur la statistique des valeurs extremes est proposee pour efficacement quantifier le risque et obtenir une caracteristique optimale de digue paravalanche.
University of Birmingham Effect of exercise on acute senescent lymphocyte counts

•Users may freely distribute the URL that is used to identify this publication. •Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. •User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (? ) •Users may not further distribute the material nor use it for the purposes of commercial gain.
Visual recovery following open globe injury with initial no light perception

License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress. com/permissions.php Clinical Ophthalmology 2015:9 1443–1448 Clinical Ophthalmology Dovepress
Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images

The development of algorithms that learn multi-agent behavioral models using human demonstrations has led to increasingly realistic simulations in the field of autonomous driving. In general, such models learn to jointly predict trajectories for all controlled agents by exploiting road context information such as drivable lanes obtained from manually annotated high-definition (HD) maps. Recent studies show that these models can greatly benefit from increasing the amount of human data available for training. However, the manual annotation of HD maps which is necessary for every new location puts a bottleneck on efficiently scaling up human traffic datasets. We propose an aerial image-based map (AIM) representation that requires minimal annotation and provides rich road context information for traffic agents like pedestrians and vehicles. We evaluate multi-agent trajectory prediction using the AIM by incorporating it into a differentiable driving simulator as an image-texture-based differentiable rendering module. Our results demonstrate competitive multi-agent trajectory prediction performance especially for pedestrians in the scene when using our AIM representation as compared to models trained with rasterized HD maps.
Evaluation of anxiety levels among dentists working during the COVID-19 pandemic

disease 19 (COVID-19) pandemic, and compare it to the levels observed in the pre-pandemic period. Methods: This study included 500 dentists working during and before the COVID-19 pandemic, and participants were asked to complete a questionnaire form containing 40 questions using Google Forms. A score ranging between 1/−1 and 4/−4 was assigned to each question based on whether it was a positive or negative characteristic, and a constant of 50 was added to the total score. A higher anxiety score indicated an increase in the anxiety levels of the individual. Results: A statistically significant difference in state-trait anxiety inventory scores was observed be-tween men and women (p< 0.001). The state anxiety scale scores were seen to decrease with increasing age (p< 0.001). No statistically significant differences in trait anxiety scale scores were observed between institutions, although dentists working in public hospitals exhibited higher state anxiety scale scores (p< 0.05). Dentists with 1–4 years of experience had the highest trait anxiety scale scores, while those with >= 10 years of experience demonstrated lower state anxiety scale scores (p< 0.05). Conclusion: The levels of anxiety among dentists were seen to increase after the COVID-19 pandemic.
Starting a new business at older ages

Self-employment in later life may be either a career option or a form of partial retirement. This paper adds knowledge about those individuals who start a business when they are older. A large longitudinal data set is utilized to examine the transitions of individuals aged 55-74 to self-employment in Finland. The significance of prior activity as well as personal, household, financial and environmental characteristics are analyzed for the transitions. The results show that most of those entering self-employment in later life have prior self-employment experience, thus suggesting that entrepreneurship at later ages is often habitual. Habitual entrepreneurs deviate from novice entrepreneurs in many respects at older ages: they are less educated, more likely men and live mostly in urban areas. An entrepreneurial spouse has a significant effect for both, but this effect is greater for novice entrepreneurs. In most cases, a large income increases the probability to start a business at older ages.
Gauging the impact of glacioeustasy on a mid-latitude early Silurian basin margin , mid 1 Wales , UK 2

14 The early Silurian (Llandovery) Gondwanan South Polar ice sheet experienced episodes of 15 ice retreat and readvance. Marine base level curves constructed for the interval are widely 16 assumed to provide a record of the associated glacioeustasy. In revealing a series of 17 progradational sequences (progrades) bounded by flooding surfaces, recent work on the Type 18 Llandovery succession in mid Wales (UK) has provided an opportunity to test this 19 hypothesis. The grouping of these progrades into three composite sequences underpins the 20 construction of both low order (small amplitude, high frequency) and high order (large 21 amplitude, low frequency) base level movement curves. Revised biostratigraphical datasets 22 for the type succession permit the accurate dating of base level events. The composite 23 sequences record progradational acmes in the acinaces, lower convolutus and upper 24 sedgwickii-halli graptolite biozones. A series of transgressions that postdate the Hirnantian 25 glacial maximum culminated in an upper persculptus Biozone high-stand. Maximum 26 flooding events also occurred during the revolutus and lower sedgwickii biozones, and the 27 base of the early Telychian guerichi Biozone also marked the onset of a pronounced 28 deepening. A review of 62 published datasets, including global and other regional base level 29 curves, records of glacial activity, isotope data, patterns of facies and faunal flux and putative 30 climate models, permits an evaluation of the origins of these local base level events. The 31 concept of a Eustasy Index is introduced and shows that the impacts of global sea level 32 movements can only be demonstrated within narrow ‘eustatic windows’ coincident with 33 times of ice sheet collapse. At other times, the geometry of Llandovery area progrades 34 reflects their accumulation across a faulted basin margin where, during periods of slow ice 35 sheet advance, epeirogenic processes outstripped sea level movements as the dominant 36
Comparing Natural Language Processing Methods to Cluster Construction 1 Schedules

10 The names of construction activities are the only unstructured data attribute in construction 11 schedules and often guide construction execution. Activity names are devised to communicate 12 between stakeholders, and therefore are often written using inconsistent terminologies across 13 repetitive activities with omitted contextual information. This the challenge that machine 14 learning systems face to learn patterns from construction schedules. This paper compares the 15 performance of state-of-the-art text-related clustering methods in identifying repetitive 16 activities. This was achieved via creating a ground truth dataset on the basis of the construction 17 work classification in the Standard Method of Measurement, and then compared the precision, 18 recall and F1 score of Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), 19 word2vec, and FastText to group activity names in 27 construction schedules. Results indicate 20
Trend analysis of drought using Standardised Precipitation Index (SPI) in Victoria, Australia

Trend analysis is conducted using nonparametric trend tests (Mann-Kendall and Spearman's rho) for five selected meteorological stations in Victoria. For the drought analysis, the Standardized Precipitation Index (SPI) was applied to 3 month and 12 month time scales using monthly mean precipitation data for the time series of over 60 years. The computed SPI values for both time scales showed statistically significant downward trend for all stations. To compare one time period to another, the series were then subdivided into two 33 year periods. For the 3 month basis, three out of five stations showed significant decreasing trends. In contrast, for the 12 month time scale, the results showed downward trends for all stations illustrating conditions becoming drier over the last thirty three years (1977-2010). These results could be associated with the consequences of climate change as it is postulated that droughts would become more common in the future.