Alien Registration- Bolduc, Come (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/30509/thumbnail.jp

Electrochemical Kinetic Study of LiFePO4 Using Cavity Microelectrode

Lithium cation insertion and extraction in LiFePO4 were electrochemically studied with a cavity microelectrode (CME). Cyclic voltammetry measurements were used to characterize the kinetics of the material. LiFePO4 was successfully cycled from 0.1 mV s–1 up to 1 V s–1 and is therefore a suitable material to be used in high power applications, such as asymmetric hybrid supercapacitors. Several kinetic behaviors were observed depending on the sweep rate. The LiFePO4 was found to follow different kinetics behaviors depending of the sweep rate. The charge storage mechanisms were investigated for Liþ extraction/insertion

Model selection and clustering in stochastic block models with the exact integrated complete data likelihood

The stochastic block model (SBM) is a mixture model for the clustering of nodes in networks. The SBM has now been employed for more than a decade to analyze very different types of networks in many scientific fields, including biology and the social sciences. Recently, an analytical expression based on the collapsing of the SBM parameters has been proposed, in combination with a sampling procedure that allows the clustering of the vertices and the estimation of the number of clusters to be performed simultaneously. Although the corresponding algorithm can technically accommodate up to 10 000 nodes and millions of edges, the Markov chain, however, tends to exhibit poor mixing properties, that is, low acceptance rates, for large networks. Therefore, the number of clusters tends to be highly overestimated, even for a very large number of samples. In this article, we rely on a similar expression, which we call the integrated complete data log likelihood, and propose a greedy inference algorithm that focuses on maximizing this exact quantity. This algorithm incurs a smaller computational cost than existing inference techniques for the SBM and can be employed to analyze large networks (several tens of thousands of nodes and millions of edges) with no convergence problems. Using toy datasets, the algorithm exhibits improvements over existing strategies, both in terms of clustering and model selection. An application to a network of blogs related to illustrations and comics is also provided

Come-See-Me Festival Records - Accession 815

The Come-See-Me Festival Records consist of records and memorabilia from the Come-See-Me Festivals since its founding in 1962. The collection contains correspondence, newspaper clippings, photographs, financial reports and papers, promotional materials, and other records and material chronicling the development of the Come-See-Me Festival in Rock Hill, SC.https://digitalcommons.winthrop.edu/manuscriptcollection_findingaids/1025/thumbnail.jp

Challenging models of Late Iron Age urbanism and state formation in Gaul: The Segusiavi territory between 600 BC and AD50

Since Déchelette's contribution to the discipline, Late Iron Age Europe has been defined as a somewhat culturally unified entity characterized by the rise of a new form of settlement: the oppida. After having first refused to see any evidence supporting the case for the presence of urban characteristics in such settlements (Goudineau 1980), archaeologists now fully acknowledge the development of proto-urbanism within an Iron Age context. Based on the thorough study of important sites such as Alésia, Gergovia, Bibracte, Manching, Stradonice or Kelheim (Collis 1984, Fichtl 2005). A certain emphasis on spectacular sites heavily influenced the way archaeologists have come to understand the nature of oppida as a whole, despite sometimes a lack of tangible data to support their theory. Due to a certain interpretation of the Gallic Wars, the influence of Déchelette's civilisation des oppida and a somewhat outdated concept of urbanism based on classical perspectives, attention was, until relatively recently, only given to oppida – or at least settlements which fitted the typological definition created by archaeologists to characterize this term used by Caesar (e.g. Dehn 1962). And because of their lack of fortifications, and therefore clear evidence of an urban design, open settlements have usually been marginalised and considered as secondary forms of settlements solely characterized by a union of craftsmen (Büschenschutz and Ralston 2012). The discovery of sites such as Acy-Romance, Sources de l’Yonne in France or Braughing in the UK, has accentuated the complexity within which the rise of proto-urban forms took place. This study aimed to further highlight the need to redefine our terminology regarding urbanisation in order to attempt to fully grasp the way in which the landscape of Late Iron Age Europe dramatically evolved in the second and first centuries BC. The regional study of the Segusiavi territory, via a full catalogue of sites recorded in this region, produced interesting results which could potentially challenge our current models. The study of both the urban and rural trajectories of the Upper Loire Valley confirmed the importance of the La Tène D1/D2 transition as an intense period of instability but reinforced the need to first undertake regional approaches when attempting to discuss the rise of proto-urban forms

Come-See-Me Festival Records - Accession 1408

The Come-See-Me Festival Records consist of papers, photographs, meeting minutes, scrapbooks, media kits, publicity kits, awards, applications, invitations, bylaws, guidelines, histories, correspondence, promotions and advertisements, posters, and memorabilia from the Come-See-Me Festivals from the 1980s to 2013.https://digitalcommons.winthrop.edu/manuscriptcollection_findingaids/1026/thumbnail.jp

Visualization tools for spatio-temporal time-series analysis with context awareness: Montreal subway case

TRANSITDATA 2019 - 5th International Workshop and Symposium, Paris, FRANCE, 08-/07/2019 - 10/07/2019Forecasting passenger demand is of great interest for public transport operators. Despite the important role that forecasting play in mobility demand understanding, in-depth transport oriented analysis of the forecasting results is often overlooked, since it raised some challenges. In this context we developed two visualization tools with open source frameworks that allow to analyze spatio-temporal time-series forecasting with context awareness. The first visualization tool allows to analyze the forecasting results over large period in all the stations and to zoom in for more precise temporal details. The other tool allows to better understand the passenger demand relations between the different stations of the transport network, and enable a spatial analysis of the results. Analyzed time-series corresponds to the forecast results of the number of passengers entering each station with a fine-grained temporal resolution (15 minutes interval) during one year achieved with a well-known machine learning model, a Random Forest. In order to highlight the spatio-temporal specificity of the passenger demand, we have computed and analyzed the residuals of a long-term forecast model that returns normal passenger demand. Here we show that both visualization tools depict the stations and the period hard to predict and allow to have an insight on which contextual element (weather, event on the city and incident on the transport network) could impact the forecasting. Experiment are performed with real data given by the transport authority of Montreal (Société de transport de Montreal, STM)