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    The Long Goodbye of the History of Economic Thought Course in Liberal Arts Colleges in the United States

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    Economists of a certain age will remember a world in which the history of economic thought (HET) was alive and flourishing. Today, that is not the case. One little-noticed consequence of the elimination of HET from graduate programs in the United States is that the HET course is an endangered species at the undergraduate level. It is not, however, extinct. This paper offers a brief history of HET as a course and explores the extent of the diminution in HET courses in the undergraduate liberal arts college curriculum in the United States. Roughly 40% of 146 schools have a HET course in their catalog, but only 20% actively teach the course. I predict a continued decline in the near future, but HET will not completely disappear. An Excel workbook with all results, HETUndergradLA2025.xlsm, is available at dub.sh/HETdata

    Insights into the petrogenesis of alkalic, shonkinitic magmas from the Adel Hill Volcanic Field, Montana

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    Shonkinites are rare alkali-rich igneous rocks found in the geological record from the Precambrian to the Eocene. This study investigates the Upper Cretaceous shonkinites from the Adel Hills Volcanic Field (AHVF), central Montana. The AHVF shonkinites are porphyritic with large, euhedral to subhedral phenocrysts of diopside that exhibit sector zoning. Other major mineral phases include plagioclase, sanidine, and secondary zeolites. Minor and accessory phases identified with SEM-EDS include magnetite, apatite, rare ilmenite and pyrite, and secondary calcite. Bulk rock SiO2 ranges from 47 to 49 wt% with Na2O + K2O varying from 5.50 to 7.34 wt% within that silica range. Normalized bulk trace elements indicate LILE enrichment and NbTa depletion, consistent with a volcanic arc setting. Bulk rock, diopside, and apatite chondrite-normalized REE signatures collectively exhibit a limited range of Eu anomalies (Eu/Eu* from 0.92 to 1.33). High-resolution elemental mapping of sector-zoned diopsides reveals that Si and Mg-enrichment is accompanied by Al, Ti, Na, and Cr-depletion within {−111} faces. In symmetrically equivalent prism sectors, Al, Ti, Na, and Cr enrichment with correlated depletions in Si and Mg is documented. This is interpreted to result from low degrees of undercooling during crystallization (ΔT = 13-25 °C). The lack of dendritic patterns at the Al sector boundaries further supports this. Apatite trace element chemistries are consistent with crystallization from mafic, alkali-rich melts while accompanying Ce/Ce* vs. Eu/Eu* systematics are consistent with formation in a hydrous, moderately oxidizing magmatic environment in which plagioclase crystallization was suppressed. Petrogenesis of the AHVF shonkinites is inferred to have occurred in a contractional tectonomagmatic setting in which variably metasomatized, heterogeneous mantle lithosphere experienced low degrees of partial melting. This occurred prior to the collapse of the Cordilleran fold and thrust belt and subsequent lithospheric extension in the middle Eocene-early Miocen

    “Teaching the Sociopolitics of Spanish: Language Pedagogy from a Sociolinguistic Lens” in Narratives of Non-English L2 Language Teachers

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    This book highlights the narratives of teachers of non-English languages. Much of what we know about L2 teaching is based on conclusions drawn from research on teaching in English as an L2, with languages besides English being given short shrift or ignored entirely. Examining L2 teaching practices related to non-English languages can help us gain a more comprehensive understanding of language pedagogy. This is because different target languages play different roles in the contexts in which they are taught, which influences teaching and learning in significant ways. The contributions in this book include chapters from L2 instructors who teach a wide range of languages in different settings, including different geographical, sociolinguistic, and institutional contexts. With narratives focused on pedagogical practices and practical materials, this resource will be beneficial to pre-service teachers, teacher educators, and researchers in language education, as well as in-service teacher training programs. - from the publisher

    Decoding the Chameleon Game

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    The Chameleon game is a challenging word association activity where players are given a secret word and must respond with words relevant to that secret word. It requires strategic thinking and deduction. The Chameleon must cleverly guess the secret keyword in this game while avoiding suspicion. Our research aims to create an advanced artificial intelligence (AI) model that can play the Chameleon game from both perspectives: as the Chameleon and as a Human. This AI is designed to guess secret keywords based on the information provided by the players, choose the best strategies to avoid detection as the Chameleon, identify and vote for the most suspicious players when acting as a Human, and learn from previous games to improve its performance

    Forgiveness, Revenge and the Remaking of Moral Community

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    This article explores the connections between Arendt’s understanding of regret and forgiveness, and Améry’s conception of resentment and vengeance. Despite their deep disagreement over how we should respond to the Holocaust, they share: a conception of grave wrongs as consisting in the destruction of a moral community between victim and perpetrator; and an understanding of forgiveness and revenge (generally understood as opposite, mutually exclusive responses to resentment) as both being attempts to recover such community. This gives Améryan revenge a morally defensible purpose which runs contrary to the wholesale condemnations of vengeance common in mainstream Western ethics

    Religion and language maintenance among Arabic-Spanish bilinguals in Puerto Rico in Sociolinguistic Approaches to Arabic and Spanish in Contact

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    This chapter explores the often-overlooked influence of religious identity on language maintenance and shift in the Arabic-Spanish bilingual community in Puerto Rico. Previous research in Hispanic sociolinguistics, as compared to Arabic sociolinguistics, has rarely focused on religion as a social factor that impacts language use, thus, this study aims to explore the distinct linguistic practices of Muslim and Christian Arabs Puerto Rico and how they tie to perceived language use and maintenance. Based on a group of 15 participants, the data reveals some differences in language maintenance, with Christian Arabs showing greater susceptibility to language loss compared to their Muslim counterparts. The study underscores the impact of religious practices, particularly in biliteracy, while emphasizing the need for a comprehensive understanding of the interplay between religion, identity, and language maintenance in minority language communities

    Comparative Modeling of Nuclear Energy Consumption in the United States and France: An Optimized Structure-Adaptive Grey Model

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    This study investigates nuclear energy consumption trends in the United States, and France by applying advanced time-series modeling and computational optimization techniques. Using annual consumption data from 2005 to 2023, the research compares the predictive accuracy under data scarcity of the AutoRegressive Integrated Moving Average (ARIMA), Grey Model (1,1,t), Grey Model(1,1,t²), and an Optimized Structure-Adaptive Grey Model (OSGM). This OSGM (1,1,_) the traditional Grey Model (1,1) by introducing time-dependent terms and parameter tuning through particle swarm optimization and Monte Carlo simulations. Models are trained and tested using an in-sample and out-of-sample period framework. Then, forecast accuracies are compared using Mean Absolute Percentage Error, and the Root Mean Squared Error. The results show that the new Optimized Structured Grey Model and the ARIMA models surpass the other models in achieving accuracy forecasts. While ARIMA performs well with sufficient data, the OSGM model, however, offers greater adaptability to nonlinear patterns and structural shifts, adapting to country-specific dynamics. The integration of informatics-driven optimization into grey system modeling presents a viable approach for energy forecasting in data-constrained environments. These results validate the model\u27s suitability for situations with limited data and offer a useful tool for climate-aligned decision-making and sustainable energy planning

    December 2025 Table of Contents Newsletter - First Year Students & Library Instruction

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    College libraries (and their websites and resources) are larger and more complicated to navigate than most high school library media centers. Students are facing many new things when they get to DePauw; using the library shouldn’t be a barrier to their acclimation and success. So we prioritize getting the students in early - working with orientation leaders to have students explore the physical space before classes start, so that they know they’re welcome and there are people and services here to help them. Learn more about our library instruction engagement with FYS in this month\u27s newsletter

    QueryPDF AI

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    QueryPDF AI is a web-based application designed to help users interact with and extract valuable insights from PDF documents using advanced natural language processing (NLP) and artificial intelligence (AI). The platform allows users to upload PDF files and engage with their content by asking text-based questions. QueryPDF AI interprets the context of the uploaded document and provides accurate, context-aware responses, helping users find and analyze relevant information with ease. Whether for academic research, business reports, enterprise records, or other professional uses, QueryPDF AI simplifies document analysis by automatically generating responses to user queries. By eliminating the need for manual searching and reading, the tool significantly speeds up document review, improving productivity for students, professionals, and researchers alike. Users can upload documents, query specific sections, and even request summaries—all through a user-friendly web interface that makes document navigation faster and more efficient

    JourneyMate

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    Many travelers struggle with the travel preparation process, navigating multiple platforms to gather information for their journey. This procedure is ineffective, time-consuming, and complicated. JourneyMate, a web-based platform, solves this issue by combining practical tools into a single platform for travel. It provides scheduling and budgeting tools, and essential information like weather and transportation costs for travel, which is real-time data accumulated from various APIs. On this single platform, users can create and manage travel itineraries, set budgets, and organize trip details. This website also includes a chatbot that offers travel advice and answers to frequently asked questions, as well as a community area where users can share their travel plans with others. JourneyMate improves convenience and helps users make better decisions by simplifying the travel planning process

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