A big congratulations to Vikash Kumar, chemical and biochemical engineering Ph.D., who emerged victorious at the 2023 BIOT Tank competition, organized by ACS BIOT (Division of Biochemical Technology of the American Chemical Society) at the 2023 ACS conference in San Francisco, CA. 

BIOT Tank is ACS BIOT’s version of “Shark Tank”, where cutting edge start-ups in the fields of bioprocessing compete for the finale with their product and their business plan. There were more than twenty submissions for the 2023 competition, and four were selected to give their final pitch during ACS Fall 2023 in San Francisco. Unlike the other “Shark Tank”, ACS BIOT has two awards instead of investors investing, a judge’s choice award and an audience choice award. It provides a great platform for Vikash Kumar and team to reach a wider and like-minded audience which is an investment of its own kind. We won the audience choice awards. We were the only student team at the competition. The other teams giving their pitch, were established start-ups with millions in funding and an experienced team.

Kumar's company, Breathable Bioprocessing, showcased their groundbreaking solution: a breathable flask paired with a non-invasive sensor system designed for shake flask, t-flask, and G-Rex applications. His innovative solutions in bioprocessing captured the attention of both industry experts and peers, highlighting his commitment to advancing the field. 

Watch Vikash’s video here: https://www.linkedin.com/posts/vikashk-as4711_bio-works-x-breathable-bioprocessing-at-acs-biot-activity-7097479059839811584-0t17/

Abstract:

Small-scale bioreactors like shake flasks, t-flasks, and G-rex are extensively used in upstream bioprocessing at academic labs and biopharma companies. However, their inability to support process monitoring due to design constraints and sterile requirements has made them function as black boxes during cell culture, leading to inefficiencies and inconsistent product quality.

To address these issues, a novel breathable membrane-based technology has been developed. This breakthrough allows for non-invasive monitoring of critical process parameters, such as dissolved oxygen and dissolved carbon dioxide, from the external environment of the vessels. For shake flasks, a breathable shake flask has been introduced, enabling measurements of dissolved O2 and CO2 through externally attached sensors. As for T-flasks and G-Rex, a sensor manifold placed at the bottom of the flask facilitates non-invasive monitoring of O2 and CO2 through gas diffusion processes without compromising the integrity of the ongoing processes.

This technological breakthrough promises to revolutionize bioprocessing by providing vital process knowledge and control. As a recent startup with three employees, the company is in early discussions with potential customers and collaborators to expand the technology's implementation globally. This innovation is expected to significantly improve the efficiency and reliability of bioprocessing studies, leading to better therapeutic product outcomes.

The URCAD Selfie Contest winner for Best Selfie with a Presentation: The presenters from the Women's Center: Ash Acuña, Tanzila Malik, Carrington Cline, Abby Claytor. They will receive a gift card to the UMBC Bookstore.

Even after the poster session ended, you could find these folx holding up their poster in the UC lobby and doing an impromptu presentation for people who missed it... now that's dedication to the feminist cause of analyzing Barbie!

White, Pink, and Pretty: How Barbie’s Feminism Fails its Viewers

Carrington Cline, Tanzila Malik, Abby Claytor, Nati Acuña, Media and Communications Studies
Lauren Allen, Women's Center; Amelia Meman, Women's Center

The 2023 film Barbie (Gerwig, 2023) is the highest-grossing live-action comedy film of all time; it has been lauded as a feminist film that cunningly subverts gender roles and thoughtfully addresses issues of diversity that are fraught in most Hollywood films. Barbie is an easily digestible media that portrays basic feminist principles for the general public. But if Barbie is a feminist film, is it also intersectional? This study examines the limitations of the Barbie movie’s portrayal of feminism and its failings in regard to intersectionality. We aim to inspire critical thinking around media and intersectionality and shed light on the prevalence of White feminism in popular media. Using content analysis informed by intersectional feminist theory, we analyzed instances in the film that demonstrated (pseudo-)feminist principles and themes in order to determine how intersectional Barbie’s brand of feminism is. We also explored avenues by which Barbie could better depict intersectionality and contemporary feminist thought.

Learning to Synthesize Images with Multimodal and Hierarchical Inputs

Yu Zeng, JHU

April 17, 2024 4:00 – 5:15 PM

ENGR 231, UMBC or Webex

In recent years, image synthesis and manipulation has experienced remarkable advancements driven by deep learning algorithms and web-scale data, yet there persists a notable disconnect between the intricate nature of human ideas and the simplistic input structures employed by the existing models. In this talk, I will present our research towards a more natural way for controllable image synthesis inspired by the coarse-to-fine workflow of human artists and the inherently multimodal aspect of human thought processes. We consider the inputs of semantic and visual modality at varying levels of hierarchy. For the semantic modality, we introduce a general framework for modeling semantic inputs of different levels, which includes image-level text prompts and pixel-level label maps as two extremes and brings a series of mid-level regional descriptions with different precision. For the visual modality, we explore the use of low-level and high-level visual inputs aligning with the natural hierarchy of visual processing. Additionally, as the misuse of generated images becomes a societal threat, I will introduce our findings on the trustworthiness of deep generative models in the second part of this talk and potential future research directions.

Yu Zeng is a Ph.D. candidate at Johns Hopkins University advised by Vishal M. Patel. Her research interest lies in computer vision and deep learning. She has focused on two main areas: (1) deep generative models for image synthesis and editing and (2) label-efficient deep learning. By combining these research areas, she aims to bridge human creativity and machine intelligence through user-friendly and socially responsible models while minimizing the need for intensive human supervision. Yuhas collaborated with researchers at NVIDIA and Adobe through internships. Prior to her Ph.D., she worked as a researcher at Tencent Games. Yu’s research has been recognized by the KAUST Rising Stars in AI, and her Ph.D. study has been supported by a JHU Kewei Yang and Grace Xin Fellowship.

The URCAD Selfie Contest Winner for Best Overall Selfie is Olivia Hutchinson! Olivia will receive a $100 gift card to the UMBC Bookstore.

Olivia took this selfie before the start of the poster session and sent it to her mom, who asked, "Are you nervous?" Her reply: "I don't know, do I look nervous??" Olivia, you were great, but we love your sense of humor!

Effects of Child Abuse and Acute Stress on the Experience of Emotion in People with Schizophrenia

Olivia Hutchinson, Psychology, Jacob Nudelman1, Eric Neutzling, Gabrielle Pakravan², Adriann Lai¹, Elie Holzel^1
1Department of Psychiatry, University of Maryland School of Medicine, ²University of Maryland, College Park
Raimi Quiton, Psychology; James Waltz, Department of Psychiatry, University of Maryland School of Medicine

Early-life adversity and psychosis can alter sensitivity to stimuli. We used images from the International Affective Pictures Set (IAPS) to examine how diagnosis and abuse history influence picture ratings under stress. We hypothesized that stress would heighten reactivity to unpleasant stimuli and reduce reactivity to pleasant ones.

52 people with schizophrenia (PSZ) and 32 healthy volunteers (HVs) performed the Emotional Experience Task (EET) – requiring subjects to view and rate the “positivity” and “negativity” of emotions evoked by pictures twice – once after experiencing an acute stressor and once after a neutral event. We assess abuse history with the Childhood Trauma Questionnaire.

PSZ exhibited reduced rating range, relative to HVs. PSZ rated positive pictures as less positive (t = 1.958; p = 0.05) and negative pictures as less negative (t = 2.711; p = 0.008) than HVs. Physical abuse (PA) scores correlated with aversive image ratings (r = 0.309; p = 0.035) and the acute stressor’s impact on positive (r = 0.333; p = 0.022) and neutral stimuli (r = 0.300; p = 0.040). Higher PA was associated with greater stressor impact on IAPS ratings.

Diagnosis and abuse history impacted affective picture ratings. These factors did not interact in influencing picture ratings.