Digital Commons Network^™

Enolase Inhibitors As Therapeutic Leads For Naegleria Fowleri Infection, Jillian E Milanes, Victoria C Yan, Cong-Dat Pham, Florian Muller, Samuel Kwain, Kerrick C Rees, Brian N Dominy, Daniel C Whitehead, Steven W Millward, Madison Bolejack, Roger Shek, Logan Tillery, Isabelle Q Phan, Bart Staker, E Ashley Moseman, Xiang Zhang, Xipeng Ma, Audriy Jebet, Xinmin Yin, James C Morris

Faculty, Staff and Student Publications

Infections with the pathogenic free-living amoebae Naegleria fowleri can lead to life-threatening illnesses including catastrophic primary amoebic meningoencephalitis (PAM). Efficacious treatment options for these infections are lacking and the mortality rate remains >95% in the US. Glycolysis is very important for the infectious trophozoite lifecycle stage and inhibitors of glucose metabolism have been found to be toxic to the pathogen. Recently, human enolase 2 (ENO2) phosphonate inhibitors have been developed as lead agents to treat glioblastoma multiforme (GBM). These compounds, which cure GBM in a rodent model, are well-tolerated in mammals because enolase 1 (ENO1) is the predominant isoform used …

A Rare Case Of Fabry's Disease-Induced Cardiomyopathy: A Case Report And Review Of The Literature, Ahmed Hussein, Aya Salih, Yousif Mohamed, Emma Thames, L Maximilian Buja

Faculty, Staff and Student Publications

Fabry's disease, also known as Anderson-Fabry Disease (AFD), is caused by mutations in the α galactosidase A (α GalA) gene found on the X chromosome. This condition results in an accumulation of sphingolipids, including globotriaosylceramide (Gb3), in cells throughout the body. The main effects of Fabry disease typically involve heart, kidney, and nervous system complications. A common cardiac dysfunction is left ventricular hypertrophy. In this case study, we share findings about cardiomyopathy resulting from Fabry disease to explain how this condition impacts the heart and the importance of a biopsy in making a diagnosis. A 57-year-old woman with end-stage renal …

“We Need To Wake Our World Up”: Collegiate Athletes’ Communicative Constitution Of Activism, Lillian B. Feder, Diane L. Jackson, Sean M. Eddington

College of Communication Faculty Research and Publications

This study examines National Collegiate Athletic Association (NCAA) Division I athletes’ experiences engaging in activism through the lens of the communicative constitution of organizations. Specifically, we investigated the modalities and approaches collegiate athletes employ in their activism. Findings indicate that collegiate athletes gravitate toward online and offline channels, and fiscal, ideological, and organizational activities as modalities for their activist efforts. We also uncovered that collegiate athletes’ inclination to call-in versus call-out is characterized by their willingness to engage with the recipients of their cause-related messages. This inquiry demonstrates the discursive and material nature of collegiate athlete activism, highlighting the call-in …

Cholesterol Accumulation Promotes Photoreceptor Senescence And Retinal Degeneration, Ryo Terao, Brian S Sohn, Taku Yamamoto, Tae Jun Lee, Jason Colasanti, Charles W Pfeifer, Joseph B Lin, Andrea Santeford, Shinobu Yamaguchi, Mitsukuni Yoshida, Rajendra S Apte

2020-Current year OA Pubs

PURPOSE: Dysregulated cholesterol metabolism is critical in the pathogenesis of AMD. Cellular senescence contributes to the development of numerous age-associated diseases. In this study, we investigated the link between cholesterol burden and the cellular senescence of photoreceptors.

METHODS: Retinas from rod-specific ATP binding cassette subfamily A member 1 (Abca1) and G member 1 (Abcg1) (Abca1/g1-rod/-rod) knockout mice fed with a high-fat diet were analyzed for the signs of cellular senescence. Real-time quantitative PCR and immunofluorescence were used to characterize the senescence profile of the retina and cholesterol-treated photoreceptor cell line (661W). Inducible elimination of p16(Ink4a)-positive senescent cells (INK-ATTAC) mice or …

Comparison Of Transport Models In Dense Plasmas, Zachary A. Johnson, Luciano G. Silvestri, George M. Petrov, Liam G. Stanton, Michael S. Murillo

Faculty Research, Scholarly, and Creative Activity

We compare a variety of models used for the calculation of transport coefficients in dense plasmas, including average-atom models, models based on kinetic theory, structure matching effective potentials, and pair-potential molecular dynamics. In particular, we focus on the parameter space investigated in the second charged-particle transport coefficient code comparison workshop [Stanek et al., Phys. Plasmas 31, 052104 (2024)]. Each model is based on the self-consistent output of our average-atom calculations. Ionic transport properties are generated from implicit electron pair matched molecular dynamics simulations, bypassing the need for either dynamical electron simulations or on-the-fly electronic structure calculations. These matched pair potentials …

Smart City Community Watch—Camera-Based Community Watch For Traffic And Illegal Dumping, Nupur Pathak, Gangotri Biswal, Megha Goushal, Vraj Mistry, Palak Shah, Fenglian Li, Jerry Gao

Faculty Research, Scholarly, and Creative Activity

Highlights: What are the main findings? The smart city community watch program developed using YOLOv5 for object detection and DeepSORT for multi-object tracking achieves 97% accuracy in detecting illegal dumping. The web-based application integrates person detection, trash detection, license plate detection and extraction, and a decision algorithm aiding government agencies to monitor and effectively manage illegal dumping. What are the implications of the main findings? With the 97% detection accuracy and real-time detection capabilities of the YOLOv5- and DeepSORT-based solution, this solution can help in saving government expenditure to clean up illegal dumping. The solution can be integrated with smart …

The Law Of General Average, Luca Anderlini, Joshua C. Teitelbaum

Georgetown Law Faculty Publications and Other Works

Part of a ship's cargo is jettisoned in order to save the vessel and the remaining cargo from imminent peril. How should the loss be shared among the cargo owners? The law of general average, an ancient principle of maritime law, prescribes that the owners share the loss proportionally according to the respective values of their cargo. We analyze whether the law of general average is a truthful and efficient mechanism. That is, we investigate whether it induces truthful reporting of cargo values and yields a Pareto efficient allocation in equilibrium. We show that the law of general average is …

Segac: Sample Efficient Generalized Actor Critic For The Stochastic On-Time Arrival Problem, Honglian Guo, Zhi He, Wenda Sheng, Zhiguang Cao, Yingjie Zhou, Weinan Gao

Research Collection School Of Computing and Information Systems

This paper studies the problem in transportation networks and introduces a novel reinforcement learning-based algorithm, namely. Different from almost all canonical sota solutions, which are usually computationally expensive and lack generalizability to unforeseen destination nodes, segac offers the following appealing characteristics. segac updates the ego vehicle’s navigation policy in a sample efficient manner, reduces the variance of both value network and policy network during training, and is automatically adaptive to new destinations. Furthermore, the pre-trained segac policy network enables its real-time decision-making ability within seconds, outperforming state-of-the-art sota algorithms in simulations across various transportation networks. We also successfully deploy segac …

Atypical Brain Aging And Its Association With Working Memory Performance In Major Depressive Disorder, Natalie C.W. Ho, Richard A.I. Bethlehem, Jakob Seidlitz, Nikita Nogovitsyn, Paul Metzak, Pedro L. Ballester, Stefanie Hassel, Susan Rotzinger, Jordan Poppenk, John Blangero

Human Genetics Publications

Background: Patients with major depressive disorder (MDD) can present with altered brain structure and deficits in cognitive function similar to those seen in aging. However, the interaction between age-related brain changes and brain development in MDD remains understudied. In a cohort of adolescents and adults with and without MDD, we assessed brain aging differences and associations through a newly developed tool that quantifies normative neurodevelopmental trajectories. Methods: A total of 304 participants with MDD and 236 control participants without depression were recruited and scanned from 3 studies under the Canadian Biomarker Integration Network for Depression. Volumetric data were used to …

A Hierarchical Framework For Interpretable, Safe, And Specialised Deep Reinforcement Learning, Ammar Abbas

Doctoral

Safety-critical systems, which are crucial for human safety and the environment, are difficult to control and operate. Traditional controllers need precise models of these complex systems, which is hard to develop. \acrfull{drl} offers a potential solution by learning from interactions rather than detailed models, but it faces limitations such as non-transparent decision-making and an expensive, unsafe learning process. Additionally, a key challenge in DRL is ensuring effective decision-making in rare situations.

This thesis proposes a novel approach called the \acrfull{prop_frame} that enables safe and reliable control of critical systems. SRLA combines probabilistic modelling with reinforcement learning to create an interpretable …

Sibo : A Simple Booster For Parameter-Efficient Fine-Tuning, Zhihao Wen, Jie Zhang, Yuan Fang

Research Collection School Of Computing and Information Systems

Fine-tuning all parameters of large language models (LLMs) necessitates substantial computational power and extended time. Latest advancements in parameter-efficient fine-tuning (PEFT) techniques, such as Adapter tuning and LoRA, allow for adjustments to only a minor fraction of the parameters of these LLMs. Concurrently, it has been noted that the issue of over-smoothing diminishes the effectiveness of these Transformer-based LLMs, resulting in suboptimal performances in downstream tasks. In this paper, we present SIBO, which is a SImple BOoster to enhance PEFT, by injecting an initial residual. SIBO is straightforward and readily extensible to a range of state-of-the-art PEFT techniques to alleviate …

Synergizing Large Language Models And Pre-Trained Smaller Models For Conversational Intent Discovery, Jinggui Liang, Lizi Liao, Hao Fei, Jing Jiang

Research Collection School Of Computing and Information Systems

In Conversational Intent Discovery (CID), Small Language Models (SLMs) struggle with overfitting to familiar intents and fail to label newly discovered ones. This issue stems from their limited grasp of semantic nuances and their intrinsically discriminative framework. Therefore, we propose Synergizing Large Language Models (LLMs) with pre-trained SLMs for CID (SynCID). It harnesses the profound semantic comprehension of LLMs alongside the operational agility of SLMs. By utilizing LLMs to refine both utterances and existing intent labels, SynCID significantly enhances the semantic depth, subsequently realigning these enriched descriptors within the SLMs’ feature space to correct cluster distortion and promote robust learning …

Speaker Verification In Agent-Generated Conversations, Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

The recent success of large language models (LLMs) has attracted widespread interest to develop role-playing conversational agents personalized to the characteristics and styles of different speakers to enhance their abilities to perform both general and special purpose dialogue tasks. However, the ability to personalize the generated utterances to speakers, whether conducted by human or LLM, has not been well studied. To bridge this gap, our study introduces a novel evaluation challenge: speaker verification in agent-generated conversations, which aimed to verify whether two sets of utterances originate from the same speaker. To this end, we assemble a large dataset collection encompassing …

Towards Gradient-Based Time-Series Explanations Through A Spatiotemporal Attention Network, Min Hun Lee

Research Collection School Of Computing and Information Systems

In this paper, we explore the feasibility of using a transformer-based, spatiotemporal attention network (STAN) for gradient-based time-series explanations. First, we trained the STAN model for video classifications using the global and local views of data and weakly supervised labels on time-series data (i.e. the type of an activity). We then leveraged a gradient-based XAI technique (e.g. saliency map) to identify salient frames of time-series data. According to the experiments using the datasets of four medically relevant activities, the STAN model demonstrated its potential to identify important frames of videos.

Indefinability Of Effective Stress For Unsaturated Soils, Xiong Zhang, Sandra Houston

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

For decades, researchers have searched for an unsaturated soil effective stress that performs analogously to effective stress for saturated soils and provides some simplifications over net stress and suction approaches. A recent debate is whether problems identified with unsaturated soil effective stress can be resolved via elastoplastic analyses. Effective stress equations are reviewed and categorized as being based on volume change, shear strength, yield, or degree of saturation. These equations are evaluated for consistency with saturated soil effective stress expectations using the Barcelona basic model (BBM), simplified into an integrated elastoplastic framework using the modified state surface approach (MSSA). Under …

Novel Emergent Phases In A Two-Dimensional Superconductor, Simrandeep Kaur, Hemanta Kumar Kundu, Sumit Kumar, Anjana Dogra, Rajesh Narayanan, Thomas Vojta, Aveek Bid

Physics Faculty Research & Creative Works

In this letter, we report our observation of an extraordinarily rich phase diagram of a LaScO₃/SrTiO₃ heterostructure. Close to the superconducting transition temperature, the system hosts a superconducting critical point of the Infinite-randomness type characterized by an effective dynamical exponent ν z that diverges logarithmically. At lower temperatures, we find the emergence of a magnetic field-tuned metallic phase that co-exists with a quantum Griffiths phase (QGP). Our study reveals a previously unobserved phenomenon in 2D superconductors—an unanticipated suppression of the QGP below a crossover temperature in this system. This concealment is accompanied by the destruction of the …

A Model Of Information Visualization Interpretation, Michael Gene Hilgers

Business and Information Technology Faculty Research & Creative Works

Since the groundbreaking work by Cleveland and McGill in 1984, studies have revealed the difficulties humans have extracting quantitative data from visualizations as simple as bar graphs. As a first step toward understanding this situation, this paper proposes a mathematical model of the interpretation effort of a bar graph using concepts drawn from eye tracking. First, three key areas of interest (AOIs) are identified, and fixations are modeled as random point clouds within the AOIs. Stochastic geometry is introduced via random triangles connecting fixations within the adjacent key visual regions. The so-called landmark methodology provides the basis for the probabilistic …

Robust Hydropower Planning Balances Energy Generation, Carbon Emissions And Sediment Connectivity In The Mekong River Basin, M. Tangi, Rafael Schmitt, Rafael M. Almeida, S. Bossi, Alexander S. Flecker, F. Sala, A. Castelletti

School of Earth, Environmental, & Marine Sciences Faculty Publications

We present a framework for strategic dam planning under uncertainty, which includes GHG emissions mitigation as a novel objective. We focus on the Mekong River Basin, a fast‐developing region heavily relying on river‐derived ecosystem services. We employ a multi‐objective evolutionary algorithm to identify strategic dam portfolios for different hydropower expansion targets, using process‐related and statistical models to derive indicators of sediment supply disruption and GHG emissions. We introduce a robust optimization approach that explores variations in optimal portfolio compositions for more than 5,000 state‐of‐ the‐world configurations, regarding sediment origins and trapping and GHG emissions. Thus, we can rank dam projects' …

Milk Exosome-Glow Nanosystem For Cancer Cellular And Tissue Bioimaging, Nycol Cotto, Neeraj Chauhan, Benilde Adriano, Deepak S. Chauhan, Marco A. Cabrera, Subhash Chauhan, Murali Yallapu

School of Medicine Publications

Milk-derived exosomes are widely used for diagnosis, delivery, imaging, and theranostic applications. Near-Infrared (NIR) based fluorescence bioimaging is an attractive and safer technique that is used for clinical applications. However, almost all NIR imaging agents tend to have poor photostability, short half-life, nonspecific protein binding, and concentration-dependent aggregation(s). Therefore, there is an unmet clinical need to develop newer and safer modalities to package and deliver NIR imaging agents. Bovine milk exosomes are natural, biocompatible, safe, and efficient nanocarriers that facilitate the delivery of micro- and macromolecules. Herein, we developed an exosome-based NIR dye loaded nanoimaging formulation that offers improved solubility …

Tectonic Implications Of Seismic Anisotropy Layering Beneath The Southern Tibetan Plateau Revealed By Integrated Shear Wave Splitting And Receiver Function Analyses, Cong Shen, Stephen S. Gao, Fansheng Kong, Kelly H. Liu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

To investigate continental dynamics underneath the south-central Tibetan plateau, which composes the Himalayan, Lhasa, and Qiangtang blocks, we have conducted comprehensive examinations of seismic azimuthal anisotropy in the crust using receiver functions (RFs) and crustal and mantle anisotropy using teleseismic shear wave splitting (SWS) analysis. In the Qiangtang block, the observed predominantly E-W fast orientations from RF and SWS analyses with similar magnitude are interpreted as resulting from eastward crustal flow with minor contributions from the mantle. In the Lhasa block, the crustal anisotropy is approximately N-S oriented, which is parallel to the strike of rift basins and southward crustal …

Meteorological Data Mining And Synthesis For Supplementing On-Site Data For Regulatory Compliance, Ben Sonpon, Shoaib Usman, Joseph Smith, Sarah Kovaleski, Jason Wibbenmeyer

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Many regulatory requirements add significant delay in the licensing of new nuclear power stations. One area of particular interest is the environmental impact of potential atmospheric release. The purpose of this research is to demonstrate effectiveness of meteorological data mining and synthesis from offsite locations to reduce need for onsite data, hence allowing rapid licensing. The automated procedures tested for data mining and extraction of meteorological data from multiple offsite sources and the data analytic tool developed for data fusion are presented here. Three important meteorological parameters from regulatory compliance are considered for this analysis: wind velocity, wind direction, and …

Accelerating The Circular Economy Transition: A Construction Value Chain-Structured Portfolio Of Strategies And Implementation Insights, Radwa Eissa, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Despite the Increasing Recognition of the Potential of Circular Economy (CE) Strategies, their Effective Application to Decarbonize the Construction Value Chain Faces Multiple Challenges. Ambiguity Surrounding CE, stemming from a Lack of Clarity on Actionable Strategies, is a Common Concern. Existing Studies Lack a Holistic Approach for Systematically Integrating CE Principles throughout the Construction Value Chain, resulting in a Scarcity of Information on How to Practically Adopt CE within Projects. This Research Aims to Accelerate CE Adoption by Creating a Value Chain-Structured Portfolio of CE Strategies and Analyzing the Implementation of Such Strategies in Actual Projects. to This End, a …

Deletion Of Mipep In Adipocytes Protects Against Obesity And Insulin Resistance By Boosting Muscle Metabolism, Alexis Diaz-Vegas, Kristen C Cooke, Harry B Cutler, Belinda Yau, Stewart W C Masson, Dylan Harney, Oliver K Fuller, Meg Potter, Søren Madsen, Niamh R Craw, Yiju Zhang, Cesar L Moreno, Melkam A Kebede, G Gregory Neely, Jacqueline Stöckli, James G Burchfield, David E James

Faculty, Staff and Students Publications

Mitochondria facilitate thousands of biochemical reactions, covering a broad spectrum of anabolic and catabolic processes. Here we demonstrate that the adipocyte mitochondrial proteome is markedly altered across multiple models of insulin resistance and reveal a consistent decrease in the level of the mitochondrial processing peptidase miPEP.

OBJECTIVE: To determine the role of miPEP in insulin resistance.

METHODS: To experimentally test this observation, we generated adipocyte-specific miPEP knockout mice to interrogate its role in the aetiology of insulin resistance.

RESULTS: We observed a strong phenotype characterised by enhanced insulin sensitivity and reduced adiposity, despite normal food intake and physical activity. Strikingly, …

De Novo Variants In The Rnu4-2 Snrna Cause A Frequent Neurodevelopmental Syndrome, Yuyang Chen, Ruebena Dawes, Hyung Chul Kim, Alicia Ljungdahl, Sarah L Stenton, Susan Walker, Jenny Lord, Gabrielle Lemire, Alexandra C Martin-Geary, Vijay S Ganesh, Jialan Ma, Jamie M Ellingford, Erwan Delage, Elston N D'Souza, Shan Dong, David R Adams, Kirsten Allan, Madhura Bakshi, Erin E Baldwin, Seth I Berger, Jonathan A Bernstein, Ishita Bhatnagar, Ed Blair, Natasha J Brown, Lindsay C Burrage, Kimberly Chapman, David J Coman, Alison G Compton, Chloe A Cunningham, Precilla D'Souza, Petr Danecek, Emmanuèle C Délot, Kerith-Rae Dias, Ellen R Elias, Frances Elmslie, Care-Anne Evans, Lisa Ewans, Kimberly Ezell, Jamie L Fraser, Lyndon Gallacher, Casie A Genetti, Anne Goriely, Christina L Grant, Tobias Haack, Jenny E Higgs, Anjali G Hinch, Matthew E Hurles, Alma Kuechler, Katherine L Lachlan, Seema R Lalani, François Lecoquierre, Elsa Leitão, Anna Le Fevre, Richard J Leventer, Jan E Liebelt, Sarah Lindsay, Paul J Lockhart, Alan S Ma, Ellen F Macnamara, Sahar Mansour, Taylor M Maurer, Hector R Mendez, Kay Metcalfe, Stephen B Montgomery, Mariya Moosajee, Marie-Cécile Nassogne, Serena Neumann, Michael O'Donoghue, Melanie O'Leary, Elizabeth E Palmer, Nikhil Pattani, John Phillips, Georgia Pitsava, Ryan Pysar, Heidi L Rehm, Chloe M Reuter, Nicole Revencu, Angelika Riess, Rocio Rius, Lance Rodan, Tony Roscioli, Jill A Rosenfeld, Rani Sachdev, Charles J Shaw-Smith, Cas Simons, Sanjay M Sisodiya, Penny Snell, Laura St Clair, Zornitza Stark, Helen S Stewart, Tiong Yang Tan, Natalie B Tan, Suzanna E L Temple, David R Thorburn, Cynthia J Tifft, Eloise Uebergang, Grace E Vannoy, Pradeep Vasudevan, Eric Vilain, David H Viskochil, Laura Wedd, Matthew T Wheeler, Susan M White, Monica Wojcik, Lynne A Wolfe, Zoe Wolfenson, Caroline F Wright, Changrui Xiao, David Zocche, John L Rubenstein, Eirene Markenscoff-Papadimitriou, Sebastian M Fica, Diana Baralle, Christel Depienne, Daniel G Macarthur, Joanna M M Howson, Stephan J Sanders, Anne O'Donnell-Luria, Nicola Whiffin

Faculty, Staff and Students Publications

Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes1. Large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here we identify the non-coding RNA RNU4-2 as a syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome2. We identify an 18 base pair region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and stem III) that is severely depleted of …

The Role Of The Cerebellum In Learning To Predict Reward: Evidence From Cerebellar Ataxia, Jonathan Nicholas, Christian Amlang, Chi-Ying R Lin, Leila Montaser-Kouhsari, Natasha Desai, Ming-Kai Pan, Sheng-Han Kuo, Daphna Shohamy

Faculty, Staff and Students Publications

Recent findings in animals have challenged the traditional view of the cerebellum solely as the site of motor control, suggesting that the cerebellum may also be important for learning to predict reward from trial-and-error feedback. Yet, evidence for the role of the cerebellum in reward learning in humans is lacking. Moreover, open questions remain about which specific aspects of reward learning the cerebellum may contribute to. Here we address this gap through an investigation of multiple forms of reward learning in individuals with cerebellum dysfunction, represented by cerebellar ataxia cases. Nineteen participants with cerebellar ataxia and 57 age- and sex-matched …

Developing Catalysts For The Hydrolysis Of Glycosidic Bonds In Oligosaccharides Using A Spectrophotometric Screening Assay, Susanna Striegler

Chemistry & Biochemistry Faculty Publications and Presentations

In a proof-of-concept study, a method for the empirical design of polyacrylate gel catalysts with the ability to cleave 1→4 α-glycosidic bonds in di- and trisaccharides was elaborated. The study included the synthesis of a 300-gel member library based on two different cross-linkers and 10 acrylate monomers, identification of monomodal gels by dynamic light scattering, and a 96-well plate spectrophotometric screening assay to monitor the hydrolysis of chromophore-free maltose into glucose units. The composition of the matrix of the most efficient catalysts in the library was found to enable CH−π, hydrophobic, and H-bond accepting interactions during the hydrolysis as typically …

Tool-Sensed Object Information Effectively Supports Vision For Multisensory Grasping, Ivan Camponogara, Alessandro Farnè, Robert Volcic

All Works

Tools enable humans to extend their sensing abilities beyond the natural limits of their hands, allowing them to sense objects as if they were using their hands directly. The similarities between direct hand interactions with objects (hand-based sensing) and the ability to extend sensory information processing beyond the hand (tool-mediated sensing) entail the existence of comparable processes for integrating tool- and hand-sensed information with vision, raising the question of whether tools support vision in bimanual object manipulations. Here, we investigated participants' performance while grasping objects either held with a tool or with their hand and compared these conditions with visually …

Nonplanar Robotic Printing Of Earth-Based Material: A Case Study Using Cob-Like Mixture, Lina Ahmad, Wassim Jabi, Marco Sosa

All Works

The study presents an integration of cob with robotic processes. By challenging conventional monolithic earth-building methods, the study proposes the use of spatial nonplanar formations that are robotically fabricated, presenting an alternative geometric language for earth construction. The research methodology is derived from existing factors within the robotic lab, encompassing both constant and variable parameters. Through an experimental approach, the variables are systematically manipulated while observing the outcomes to identify patterns and relationships. Incremental refinements to the research conditions result in an optimal equilibrium state within the defined lab parameters. An empirical investigation approach serves as the foundation for controlling …

Diatom Abundance In The Polar Oceans Is Predicted By Genome Size, Wade R. Roberts, Adam M. Siepielski, Andrew J. Alverson

Biological Sciences Faculty Publications and Presentations

A principal goal in ecology is to identify the determinants of species abundances in nature. Body size has emerged as a fundamental and repeatable predictor of abundance, with smaller organisms occurring in greater numbers than larger ones. A biogeographic component, known as Bergmann’s rule, describes the preponderance, across taxonomic groups, of larger-bodied organisms in colder areas. Although undeniably important, the extent to which body size is the key trait underlying these patterns is unclear. We explored these questions in diatoms, unicellular algae of global importance for their roles in carbon fixation and energy flow through marine food webs. Using a …

A Robust Genome Assembly With Transcriptomic Data From The Striped Bark Scorpion, Centruroides Vittatus, Tsunemi Yamashita, Douglas D. Rhoads, Jeff Pummill

Biological Sciences Faculty Publications and Presentations

Scorpions, a seemingly primitive, stinging arthropod taxa, are known to exhibit marked diversity in their venom components. These venoms are known for their human pathology, but they are also important as models for therapeutic and drug development applications. In this study, we report a high-quality genome assembly and annotation of the striped bark scorpion, Centruroides vittatus, created with several shotgun libraries. The final assembly is 760 Mb in size, with a BUSCO score of 97.8%, a 30.85% GC, and an N50 of 2.35 Mb. We estimated 36,189 proteins with 37.32% assigned to Gene Ontology (GO) terms in our GO …