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Food as Medicine: Cooking for Health
(Indiana University Center for Rural Engagement, 2025)
The Food as Medicine: Cooking for Health program is bringing local food and valuable resources to residents of the Indiana Uplands as a way to support better health. The program provides cooking lessons, physical activity events, and meal kits, with many ingredients sourced directly from the communities, to residents who qualify through programs such as SNAP, WIC, and other local services. Participants may also receive supplies that support meal preparation, such as oil, spices, knives, cutting boards, pots, and peelers. Launched by Dr. Julia Valliant of Indiana University Food and Agrarian Systems and The Ostrom Workshop in collaboration with the IU Center for Rural Engagement, this initiative harnesses a food-as-medicine approach to strengthen local food systems and increase health and well-being across the Indiana Uplands region. Local and regional partners spanning the food, health, and education sectors have collaborated to launch this program, including: Linton Farmers’ Market, Purdue Extension, Greene County Health Department, Greene County WIC, Greene County General Hospital, Greene County Health Clinic, Pregnancy Choices, RSVP Volunteer Center, Produce Patch, Indiana Rural Health Association Healthy Start Communities that C.A.R.E., Daviess Community Hospital, Schneck Medical Center, Community Health Center of Jackson County, New Hope Services Inc., Healthy Families Jackson County, VanAntwerp’s Farm Market, Plumer & Bowers Farmstead, Gleaners Food Bank, Lost River Market and Deli, Lincoln Hills Development Corporation, Healthy Families, Hoosier Uplands, and Mitchell Schools.
Differential Geometry of Curves and Surfaces
(2026-01-07) Matthias Weber
This is a textbook for a one-semester undergraduate course in the Differential Geometry of Curves and Surfaces. Familiarity with Real Analysis is helpful. This goal is to provide a complete proof of the Gauß-Bonnet theorem. There are hyperlinks in the margin of the PDF linking to some 80 Mathematica notebooks, which are also supplied. A version with solutions to most exercises will be provided in May.
Exploring Educational Messages About Sexual Choking: Results of a Feasibility, Acceptability, and Efficacy Study Among College Students
(Springer Nature, 2025-11-20) Herbenick, Debby; Fu, Tsung-chieh; Simić Stanojević, Ivanka; Rosenberg, Molly; Eastman-Mueller, Heather; Patterson Perry, Callie; Kawata, Keisuke; Strack, Gael; Gwinn, Casey; Wright, Paul J
IntroductionSexual choking has become prevalent among young adults, including college students, and poses significant health risks; yet, no evidence-based interventions address it. Using data from a campus-representative survey of college students, we examined participants’ age at first learning about choking and their views about teaching youth about choking and its risks. We also randomized students to one of three groups and tested the feasibility, acceptability, and preliminary efficacy of educational messages related to choking.MethodThis study uses data from a campus-representative confidential online survey of 973 undergraduate students in Fall 2021.ResultsOn average, students had first learned about sexual choking at 15.3 years old. Also, 61.1% felt that youth should first be taught about choking and its health risks during high school, with an additional 22.1% indicating middle school. Our educational messages had high feasibility and acceptability ratings and showed strong evidence of preliminary efficacy among students who had previously choked or been choked during sexual activities.ConclusionsMost students had first learned about choking as adolescents, highlighting the need for fact-based sexuality education. We found broad student support for learning about choking and its risks from college health professionals, including faculty who teach sexuality- and health-related courses. Our educational messages can be expanded to support student health and safety.Policy ImplicationsFindings have implications for the development of educational programming to address sexual choking. Public health agencies also have an important role in education.
A Multi-View Predictive Student Modeling Framework with Interpretable Causal Graph Discovery for Collaborative Learning Analytics
(2025) Acosta, H; Lee, S; Hong, D; Min, W; Mott, B; Hmelo-Silver, C; Lester, J
Understanding the relationship between student behaviors and learning outcomes is crucial for designing effective collaborative learning environments. However, collaborative learning analytics poses significant challenges, not only due to the complex interplay between collaborative problemsolving and collaborative dialogue but also due to the need for model interpretability. To address these challenges, this paper introduces a multi-view predictive student modeling framework using causal graph discovery. We first extract interpretable behavioral features from students’ collaborative dialogue data and game trace logs to predict student learning within a collaborative game-based learning environment. We then apply constraint-based sequential pattern mining to identify cognitive and social behavioral patterns in student’s data to improve predictive power. We employ unified causal modeling for interpreting model outputs, using causal discovery methods to reveal key interactions among student behaviors that significantly contribute to predicting learning outcomes and identifying frequent collaborative problem-solving skills. Evaluations of the predictive student modeling framework show that combining features from dialogue and in-game behaviors improves the prediction of student learning gains. The findings highlight the potential of multi-view behavioral data and causal analysis to improve both the effectiveness and the interpretability of collaborative learning analytics.
Does Market Timing Beat Dollar Cost Averaging?
(Academy of Finance, 2022-10-12) He, Yan; Wang, Junbo
This paper explores several methods for investing a series of monthly cash contributions in an equity index, such as the S&P 500 or the Nikkei 225. The dollar cost averaging (DCA), three variations of market timing (MT1, MT2, and MT3), and 12-month perfect foresight (PF) are examined, and they are built on the same assumptions, such as monthly cash inflows, no borrowing of cash, and no selling of equity. The PF outcomes, unachievable by human beings, serve as the optimal boundaries. Our results show that in both the U.S. and Japanese markets, the PF dominates the DCA, while the MTs tend to deliver similar results as the DCA. Thus, the DCA seems an effective investment method.