This is a research study to learn about how mothers in recovery from addiction define, recognize, and foster emotions that connect their children to others such as gratitude, generosity, and love. People enrolled in the study will meet with a study team member in groups of 3-5 to complete an online survey and focus group interview asking for your opinions about these issues. The group meeting will take place at or near a treatment or recovery center and take about 90-minutes. Meetings can be in-person or virtual.

Nowadays, AI systems have been applied widely in a variety of predictive tasks, from objective detection to text classification. These AI systems have greatly advanced automated decision-making. However, sometimes humans and AI systems think in very different ways, which means humans and AI systems might use different evidence to make predictions. In this study, we are using sentiment analysis of Amazon product reviews as a case study. Humans will judge sentiments of different words with different AI explanations. Human and AI judgments will be compared to find to which extend human and AI knowledge align.

In this study, we want to learn more about how informational professionals interact with large language models such as ChatGPT, Bing AI, and Google Bard. We are interviewing and conducting diary studies with information professionals (e.g. finance, law, IT, business, academia, journalism, and consulting) who regularly use these systems in their work to understand the information practices they engage in while using these systems. Previous study participants have noted that the diary entries enabled them to reflect more deeply on their use of these tools and the interview has helped synthesized what they have documented. We hope you may find such benefits in your participation as well.

This is a clinical research study for people with Stage 4 lung cancer or lung cancer that has returned after treatment. In this study, we want to learn if treatment with two study drugs (ramucirumab and pembrolizumab) works better than usual treatment.

Pancreatic cancer has one of the lowest survival rates for all cancers, but there are some people who achieve long-term survival. We are looking at those patients, with the goal of identifying what are some treatments and experiences that do work. Learning about treatment combinations and unique therapies that have led to success can open doors for where our research should be focused moving forward.

Do you have small cell lung cancer (SCLC) or non-small cell lung cancer (NSCLC)? Has your lung cancer come back or did not get better with the last treatment you were given? If so, you may be able to take part in a gene therapy research study that uses your own modified immune cells as treatment.

The purpose of this study is to find out if treatment with the study drug, Bexmarilimab, along with standard of care can help with your type of cancer.

This is a prospective study that will look for the kinetics of circulating tumor DNA (ctDNA) in patients with hematologic and pediatric cancer before and after undergoing standard of care treatment regimens where radiation therapy is a treatment.

Do you have ovarian cancer that has come back after your first round of treatment? if so you may be able to participate in a research study to test if MIRV in combination with bevacizumab as maintenance therapy, can help to prevent your cancer from returning or delaying your cancer's return.

This study tests whether the investigational device CT-155 improves negative symptoms associated with schizophrenia.