Liberation: The Human Cost of Allied Victory in World War II Europe

Streaming video requires RealPlayer to view.The University Archives has determined that this item is of continuing value to OSU's history.William Hitchcok is professor and Chair of the Department of History at Temple University. He is also director of the International History Workshop. His research focuses primarily on the international history of Europe since 1939. He has written on French diplomacy of the post-WWII era and published a survey of Europe’s history from the end of the Second World War to the present. Hitchcock’s most recent book, The Bitter Road to Freedom: A New History of the Liberation of Europe (Free Press, 2009), explores the civilian experience of liberation in Europe at the close of World War II. It was a Finalist for the Pulitzer Prize, and won the 2009 George Louis Beer Prize from the American Historical Association. He is presently working on a collection of essays, with Petra Goedde, on the international history of human rights. Before coming to Temple, Hitchcock was an assistant professor of history and associate director of international security studies at Yale University and a visiting assistant professor of history at Wellesley College. At Yale he won the 1999 Sarai Ribicoff Teaching Award for faculty in the humanities. Hitchcock has held numerous fellowships including Resident Fellow in International Security Studies at Yale University, Visiting Scholar at the Center for European Studies at Harvard University, and Fulbright Scholar to Belgium. His research has been supported by the Smith Richardson Foundation, European Community Studies Association, Truman Presidential Library, Yale Council on Western European Studies, and the MacArthur Foundation. He received his Ph.D. from Yale University and B.A. from Kenyon College.Ohio State University. Mershon Center for International Security StudiesEvent Web page, streaming video, event photo

Rethinking inventories in the digital age: the case of the Old Bailey

This article builds on the digitized version of the Old Bailey Proceedings (www.oldbaileyonline.org) by first extracting the indictments from the surrounding text and then subjecting the words they include, and objects they describe, to analysis. This entails working with a corpus of over a million words. At this scale, close reading no longer serves the historian well. It would require far more time than is reasonable or feasible; and a strategy of ‘distant reading’ is adopted here to allow analysis to focus on larger units of text

Effective Use Methods for Continuous Sensor Data Streams in Manufacturing Quality Control

This work outlines an approach for managing sensor data streams of continuous numerical data in product manufacturing settings, emphasizing statistical process control, low computational and memory overhead, and saving information necessary to reduce the impact of nonconformance to quality specifications. While there is extensive literature, knowledge, and documentation about standard data sources and databases, the high volume and velocity of sensor data streams often makes traditional analysis unfeasible. To that end, an overview of data stream fundamentals is essential. An analysis of commonly used stream preprocessing and load shedding methods follows, succeeded by a discussion of aggregation procedures. Stream storage and querying systems are the next topics. Further, existing machine learning techniques for data streams are presented, with a focus on regression. Finally, the work describes a novel methodology for managing sensor data streams in which data stream management systems save and record aggregate data from small time intervals, and individual measurements from the stream that are nonconforming. The aggregates shall be continually entered into control charts and regressed on. To conserve memory, old data shall be periodically reaggregated at higher levels to reduce memory consumption

Alien Registration- Hitchcock, William S. (Chapman, Aroostook County)

https://digitalmaine.com/alien_docs/26308/thumbnail.jp

Adult-adolescent Parenting Inventory-2 as a Predictor of Risk for Child Maltreatment

The purpose of this study was to investigate the Adult-Adolescent Parenting Inventory (AAPI-2) as a predictor of level of risk for child maltreatment as determined by the Department of Human Services (DHS) safety assessment. The AAPI-2 consists of five scales. The scales are inappropriate parental expectations, empathy, value of corporal punishment, family role reversal, and restrict power and independence. Archival data from a community education program for CPS referred parents was used in the study. The archival data consisted of 341 records of adult participants in the program. Predictive discriminate analysis was performed to investigate the ability of the AAPI-2 to predict risk as determined by DHS safety assessments. Exploratory investigation of influences of various demographics on the AAPI-2 composite score and on level of risk utilized multiple regression and discriminate analysis techniques. Results indicated significant results put poor model fit for the AAPI-2 in correctly classifying level of riSchool of Teaching and Curriculum Leadershi

Shaper Nations: Stategies for a Changing World

Shaper Nations provides illuminating perspectives on the national strategies of eight emerging and established countries that are shaping global politics at the beginning of the twenty-first century. The volume’s authors offer a unique viewpoint: they live and work primarily in the country about which they write, bringing an insider’s feel for national debates and politics. The conventional wisdom on national strategy suggests that these states have clear central authority, coherently connect means to ends, and focus on their geopolitical environment. These essays suggest a different conclusion. In seven key countries―Brazil, China, Germany, India, Israel, Russia, and Turkey―strategy is dominated by nonstate threats, domestic politics, the distorting effect of history and national identity, economic development concerns, and the sheer difficulty, in the face of many powerful internal and external constraints, of pursuing an effective national strategy. The shapers represent a new trend in the international arena with important consequences. Among them is a more uncertain world in which countries concentrate on their own development rather than on shared problems that might divert precious resources, and attend more to regional than to global order. In responding to these shaper states, the United States must understand the sources of their national strategies in determining its own role on the global stage.https://scholarship.richmond.edu/bookshelf/1274/thumbnail.jp

Using Dimensionality Reduction and Tag Parameter Spaces to Study Historical Change in a Large Document Archive

In this presentation we discuss one approach to studying historical change in a large document archive, The Old Bailey Proceedings Online. In addition to the texts themselves, we are working with two kinds of representation. The first is a set of XML tags that were added to the trial accounts when the digital archive was created. Since these tags were drawn from small finite sets, we can think of them as dimensions that can be used to categorize each trial in a tag parameter space. The second is a dimension reduction technique, Stable Random Projections (Schmidt 2018). Each SRP is a small sketch, or fingerprint, of a given trial, and each trial can be located in a space of SRPs. We are using SRPs in conjunction with the parameter space created by the XML tags to assess the representativeness of trials in particular periods of time and to identify outliers and anomalies. As Schmidt showed in his own examples, clusters in SRP space occur at a variety of scales, and can often be mapped onto classifications that are meaningful to human observers (e.g., as represented by the XML tags)

A Quantum Many-body Wave Function Inspired Language Modeling Approach

The recently proposed quantum language model (QLM) aimed at a principled approach to modeling term dependency by applying the quantum probability theory. The latest development for a more effective QLM has adopted word embeddings as a kind of global dependency information and integrated the quantum-inspired idea in a neural network architecture. While these quantum-inspired LMs are theoretically more general and also practically effective, they have two major limitations. First, they have not taken into account the interaction among words with multiple meanings, which is common and important in understanding natural language text. Second, the integration of the quantum-inspired LM with the neural network was mainly for effective training of parameters, yet lacking a theoretical foundation accounting for such integration. To address these two issues, in this paper, we propose a Quantum Many-body Wave Function (QMWF) inspired language modeling approach. The QMWF inspired LM can adopt the tensor product to model the aforesaid interaction among words. It also enables us to reveal the inherent necessity of using Convolutional Neural Network (CNN) in QMWF language modeling. Furthermore, our approach delivers a simple algorithm to represent and match text/sentence pairs. Systematic evaluation shows the effectiveness of the proposed QMWF-LM algorithm, in comparison with the state of the art quantum-inspired LMs and a couple of CNN-based methods, on three typical Question Answering (QA) datasets.Comment: 10 pages,4 figures,CIK

Lesions of the Perirhinal Cortex but Not of the Frontal, Medial Prefrontal, Visual, or Insular Cortex Block Fear-Potentiated Startle Using a Visual Conditioned Stimulus

The present study is part of an ongoing series of experiments aimed at delineation of the neural pathways that mediate fear-potentiated startle, a model of conditioned fear in which the acoustic startle reflex is enhanced when elicited in the presence of a light previously paired with shock. A number of cortical areas that might be involved in relaying information about the visual conditioned stimulus (the light) in fear-potentiated startle were investigated. One hundred thirty-five rats were given 10 light-shock pairings on each of 2 consecutive days, and l-2 d later electrolytic or aspiration lesions in various cortical areas were performed. One week later, the magnitude of fear-potentiated startle was measured. Complete removal of the visual cortex, medial prefrontal cortex, insular cortex, or posterior perirhinal cortex had no significant effect on the magnitude of fear-potentiated startle. Lesions of the frontal cortex attenuated fear-potentiated startle by approximately 50%. However, lesions of the anterior perirhinal cortex completely eliminated fear-potentiated startle. The effective lesions included parts of the cortex both dorsal and ventral to the rhinal sulcus and extended from approximately 1.8 to 3.8 mm posterior to bregma. Lesions slightly more posterior (2.3-4.8 mm posterior to bregma) or lesions that included only the perirhinal cortex dorsal to the rhinal sulcus had no effect. The region of the perirhinal cortex in which lesions blocked fear-potentiated startle projects to the amygdala, and thus may be part of the pathway that relays the visual conditioned stimulus information to the amygdala, a structure that is also critical for fear-potentiated startle. In addition, the present findings are in agreement with numerous studies in primates suggesting that the perirhinal cortex may play a more general role in memory