Wednesday, October 15, 2025

 

Pilot shows promise and challenge of using simulations to prepare students for social work practice



Researchers report on the results of a pilot initiative on VR and actor-assisted teaching and learning at the NYU Silver School of Social Work


New York University





Amid a documented shortage of behavioral and mental health service providers in large urban areas, the use of VR simulations and actors in training the next generation of social workers shows promise, but the approach can be time-consuming for instructors, costly, and needs fine tuning, according to a new study.

The study reports on a pilot initiative in which simulation-based AI-assisted learning platforms as well as hired actors were woven into a foundational course in social work practice at NYU Silver for students interested in working in elementary and secondary schools.

Two sections of the two-semester course allowed students to engage with school-based social scenarios, receiving real-time feedback followed by extensive debriefings and discussions with their instructors.

“This pilot initiative has demonstrated that simulation cannot stand alone as a teaching method or simply be dropped into a syllabus without consideration or planning,’’ according to the study by NYU Silver researchers Anne Dempsey, Gabriella McBride, Jasmin Acevedo, and Nicholas Lanzieri. “Instead, thoughtful preparation, scaffolding and integration are required.”

While social work educators’ use of simulation nationally has “grown significantly” over the past decade, it is still in its early stages of development and deployment, according to the researchers’ article. The report on the pilot initiative detected the need for further testing.

The paper is titled “Teaching Note: Training the Next Generation of Social Workers Using Actors and Technology-Based Simulations. It appears in the research journal Studies in Clinical Social Work: Transforming Practice, Education, and Research.

The article, among other things, found through a review of the NYU Silver pilot initiative that:

·         Preparing instructors to use the simulations meaningfully in the classroom is both “crucial” and time-consuming – from implementation to debriefing and assessing students on their experience.

 ·        Given the often-limited number of simulation-trained educators at schools of social work, integrating the method across all of a school’s practice courses is logistically challenging and requires resources, infrastructure and the consistent investment of the institution.

·         Some students reported feeling “significant anxiety and pressure before engaging in the exercises” and worrying about their mistakes, even though a simulation is designed to present a low-stakes scenario to prepare them for practice with real clients.

 At the same time, the study demonstrated that when students are supported to take risks using the simulation aids and take account of the range of their emotional responses, they are able to learn a number of important practice skills, such as how to encourage engagement while maintaining boundaries with clients, conduct a risk assessment, and stay open to feedback during practicum work.

NYU Silver’s ongoing work on simulated teaching dates back several years, including a 2018 virtual training program, developed by Lanzieri, that helps students familiarize themselves with a New York City neighborhood before engaging in a practicum assignment there. Dempsey and Lanzieri are also collaborating with NYU Steinhardt and NYU Tandon on developing an AI-driven VR simulation that they intend to pilot with students and social work professionals in Spring 2026.

 

Generative artificial intelligence: Opportunities, risks, and responsibilities for oral sciences


International Association for Dental, Oral, and Craniofacial Research





Alexandria, VA – A new perspective article jointly published in the Journal of Dental Research and JADA Foundational Science highlights the transformative potential of generative artificial intelligence (AI) in dental, oral, and craniofacial research while cautioning against its misuse and ethical pitfalls.

Authored by Falk Schwendicke, LMU Clinics, Germany, et al., “Generative Artificial Intelligence: Opportunities, Risks, and Responsibilities for Oral Sciences” outlines how generative AI—capable of creating text, images, code, video, and speech—can accelerate scientific discovery. By retrieving, analyzing, summarizing, and contextualizing large datasets, AI promises gains in documentation, communication, reproducibility, and efficiency.

However, the authors warn that these benefits come with substantial challenges, including:

  • Biases embedded in training data that risk reinforcing inequities.
  • Overreliance and error propagation, where automation bias may mislead researchers.
  • Plagiarism, fraud, and attribution problems, including concerns over academic integrity.
  • Reproducibility gaps and AI “hallucinations” that fabricate false outputs.

The paper calls for transparent disclosure of AI use, robust verification methods, and clear distinction between synthetic and real-world data. Ethical oversight, equity considerations, and human accountability remain central to responsible integration.

“Generative AI can be a powerful partner in advancing dental and oral sciences, but it cannot replace human judgment, oversight, and responsibility,” said Editor-in-Chief Nick Jakubovics. “Researchers, reviewers, and editors must work together to ensure AI supports, rather than undermines, the quality and credibility of our field.”

The authors also emphasize the importance of continuous monitoring and engaging the public in discussions about AI’s role in science. As guidelines from international bodies—including the International Committee of Medical Journal Editors and the European Commission—continue to evolve, standardized policies will be crucial in shaping AI’s future use in research.

About the Journal of Dental Research

The IADR/AADOCR Journal of Dental Research (JDR) is a multidisciplinary journal dedicated to the dissemination of new knowledge in all sciences relevant to dentistry and the oral cavity and associated structures in health and disease. The JDR Editor-in-Chief is Nicholas Jakubovics, Newcastle University, England. Follow the JDR on Twitter at @JDentRes.

About IADR/AADOCR IADR is a nonprofit organization with a mission to drive dental, oral, and craniofacial research for health and well-being worldwide. IADR represents the individual scientists, clinician-scientists, dental professionals, and students based in academic, government, non-profit, and private-sector institutions who share our mission. AADOCR is the largest division of IADR. Learn more at www.iadr.org.

 

Understanding volcanoes better



Researchers of Mainz University located volcanic tremor caused by magma movement




Johannes Gutenberg Universitaet Mainz

Oldoinyo Lengai 

image: 

Oldoinyo Lengai in Tanzania is the only active carbonatite volcano on Earth.

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Credit: photo/©: Miriam Reiss





How do volcanoes work? What happens beneath their surface? What causes the vibrations – known as tremor – that occur when magma or gases move upward through a volcano's conduits? Professor Dr. Miriam Christina Reiss, a volcano seismologist at Johannes Gutenberg University Mainz (JGU), and her team have located such tremor signals at the Oldoinyo Lengai volcano in Tanzania. "We were not only able to detect tremor, but also to determine its exact position in three dimensions – its location and depth below the surface," said Reiss. "What was particularly striking was the diversity of different tremor signals we detected." The findings provide new insights into how magma and gas are transported within the Earth and thus improve our understanding of volcanic dynamics. This also has societal relevance as the researchers hope that their work will enhance the ability to forecast volcanic eruptions in the long term. Their results have recently been published in Communications Earth & Environment.

Tremor provides insights into volcanic activity

When magma rises from depths of the Earth toward or into a volcano, this can cause shaking. If the magma exerts high pressure, the surrounding rock can fracture – resulting in earthquakes. Other processes can cause milder vibrations, known as tremor, for example when magma ascends through pre-existing channels, when gases escape from magma, or when pressure fluctuations occur in the transport pathways. "For volcano seismology, it is extremely interesting to study these signals and wave types that arise when magma moves below the surface," said Reiss. Two key questions drive her research: Where exactly does tremor originate? And what process leads to its generation? The answers to these questions can reveal crucial information about the state and activity of a volcano.

Together with her team, Reiss recorded seismic data at the Oldoinyo Lengai volcano in Tanzania over 18 months. They installed numerous seismometers around the volcano to detect ground vibrations. Back in Mainz, the researchers analyzed the data, focusing on a nine-week time window for this study. "For the first time, we were able to determine the precise location where tremor occurs," stated Reiss. "We discovered that two types of tremor seem to be linked: one originated at around five kilometers depth and the other near the base of the volcano – with a time delay between them. It is clear that these signals are connected, thus we see a directly linked system here." The diversity of tremor signals detected by the team was also surprisingly large. This likely reflects that the tremor originates from different regions of the volcano, each with distinct properties and driven by different processes. Oldoinyo Lengai itself is unique in that it is the only active carbonatite volcano on Earth. Its magma has an unusual composition as it is far more fluid and relatively cool, only about 550 degrees Celsius, compared to the 650 to 1,200 degrees Celsius typical for most magmas. "The results were particularly surprising because the magma is so fluid. We had expected few or no tremor as the interaction with the surrounding rock would likely be weaker," explained Reiss.

A step forward for volcano seismology

The new findings by Reiss and her colleagues advance volcano seismology by offering valuable insights into the dynamics of magma movement. "Tremor occurs whenever magma is moving – including before eruptions," said Reiss. "But which tremor signals are true precursors of an eruption, and which are just background 'gurgling'? Our results lay the foundation for improving eruption forecasting in the future."

 

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Vegan diet helps people with type 1 diabetes cut insulin costs by 27%




Physicians Committee for Responsible Medicine




WASHINGTON, D.C. — A low-fat vegan diet that doesn’t limit calories or carbohydrates could help people with type 1 diabetes reduce insulin use and insulin costs, according to new research by the Physicians Committee for Responsible Medicine published in BMC Nutrition.

Insulin is a hormone that helps move glucose (sugar) from the blood into muscle and liver cells to be used as energy. People with type 1 diabetes must take insulin because their body doesn’t produce enough. Some people with type 1 diabetes may need to take additional insulin, because they have insulin resistance, a condition in which cells don’t respond well to insulin and glucose remains in the blood. Insulin resistance is strongly influenced by dietary fat, which can inhibit glucose from entering the cells.

The new research, which is a secondary analysis of a 2024 Physicians Committee study, compared the effect of a low-fat vegan diet to a portion-controlled diet on insulin use and insulin costs in people with type 1 diabetes. The analysis found that the total dose of insulin decreased by 28%, or 12.1 units, per day in the vegan group, compared to no significant change in the portion-controlled group. The reductions in insulin use in the vegan group likely reflect improved insulin sensitivity, or how well the body responds to insulin. Total insulin costs decreased by 27%, or $1.08 per day, in the vegan group, compared to no significant change in the portion-controlled group.

The 2024 study found that a vegan diet also led to an average weight loss of 11 pounds, improved insulin sensitivity and glycemic control, and improved cholesterol levels and kidney function in people with type 1 diabetes.

The new research comes as insulin prices in the United States continue to rise. Spending on insulin in the United States tripled in the past 10 years, reaching $22.3 billion in 2022, due to the increased usage and higher price of insulin, according to the American Diabetes Association. The inflation-adjusted cost of insulin increased by 24% from 2017 to 2022.

“As insulin prices continue to rise, people with type 1 diabetes should consider a low-fat vegan diet, which can help improve their insulin sensitivity and reduce the amount of insulin they need, potentially saving them hundreds of dollars a year,” says Hana Kahleova, MD, PhD, the lead author of the study and director of clinical research at the Physicians Committee for Responsible Medicine.

Founded in 1985, the Physicians Committee for Responsible Medicine is a nonprofit organization that promotes preventive medicine, conducts clinical research, and encourages higher standards for ethics and effectiveness in education and research.