Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

2025

Discipline
Institution
Keyword
Publication
Publication Type
File Type

Articles 147931 - 147960 of 158083

Full-Text Articles in Entire DC Network

A Conversation On Fundamental Data Literacy Concepts For Undergraduate Education, Anna Bargagliotti, Wendy Pothier, David Homa, Arshia Mathus, Keith Mccormick, Paula Payton, Brian Wright Jan 2025

A Conversation On Fundamental Data Literacy Concepts For Undergraduate Education, Anna Bargagliotti, Wendy Pothier, David Homa, Arshia Mathus, Keith Mccormick, Paula Payton, Brian Wright

Mathematics, Statistics and Data Science Faculty Works

As the demand for data literacy grows, integrating foundational data literacy skills into undergraduate education becomes increasingly essential. This panel presents six core themes for cultivating data literacy among undergraduate students, addressing its interdisciplinary nature. Drawing upon the collective expertise of the group, literature research, case studies, and interviews, the panel explores the need for data literacy across various disciplines and the challenges of integrating it into higher education curricula. The proposed fundamental concepts include understanding data’s role in daily life, distinguishing between inference and prediction, recognizing the potential for misleading data, exploring ethical considerations, and honing communication and storytelling …

Go to article

Bounded Compactness From G(E)Up, Jonas Mureika, Roberto Casadio, Ilim Irfan Çimdiker, Octavian Micu Jan 2025

Bounded Compactness From G(E)Up, Jonas Mureika, Roberto Casadio, Ilim Irfan Çimdiker, Octavian Micu

Physics Faculty Works

We analyse how different Generalised Uncertainty Principles could place bounds on the compactness of self-gravitating systems. By considering existing experimental bounds on the relevant parameters, we conclude that the compactness of large astrophysical objects is bounded above by the inverse of the GUP parameter, which would naturally be of order one. Conversely, the existence of black holes imposes stronger bounds on those parameters.

Go to article

Bone Mineral Density In Female Runners, Swimmers, And Water Polo Athletes: Comparisons Across Sports With Different Impacts, Elizabeth M. Krauss, Kayla Stuckenberg, Hawley C. Almstedt Jan 2025

Bone Mineral Density In Female Runners, Swimmers, And Water Polo Athletes: Comparisons Across Sports With Different Impacts, Elizabeth M. Krauss, Kayla Stuckenberg, Hawley C. Almstedt

Health and Human Sciences Faculty Works

Bone mineral density (BMD) is a measure of bone health which reflects risk for osteoporosis. Different types of exercise induce divergent impact on the skeleton influencing accrual of BMD. Previous research reported that female collegiate athletes in aquatic sports had lower BMD than other athletes and controls. PURPOSE: The goal of this study was to conduct a modern comparison of BMD of athletes in weight-bearing and non-weight-bearing sports with normally active controls. METHODS: Height, weight, and calcium intake was assessed in collegiate females (20.0 ± 1.3 years); 39 runners, 9 swimmers, 16 water polo players, and 24 controls. BMD and …

Go to article

Multitec: A Data-Driven Multimodal Short Video Detection Framework For Healthcare Misinformation On Tiktok, Lanyu Shang, Yang Zhang, Yawen Deng, Dong Wang Jan 2025

Multitec: A Data-Driven Multimodal Short Video Detection Framework For Healthcare Misinformation On Tiktok, Lanyu Shang, Yang Zhang, Yawen Deng, Dong Wang

Computer Science Faculty Works

With the prevalence of social media and short video sharing platforms (e.g., TikTok, YouTube Shorts), the proliferation of healthcare misinformation has become a widespread and concerning issue that threatens public health and undermines trust in mass media. This paper focuses on an important problem of detecting multimodal healthcare misinformation in short videos on TikTok. Our objective is to accurately identify misleading healthcare information that is jointly conveyed by the visual, audio, and textual content within the TikTok short videos. Three critical challenges exist in solving our problem: i) how to effectively extract information from distractive and manipulated visual content in …

Go to article

Introduction: The Politics And Ethics Of Naming The Names Of Enslaved People In Digital Humanities Projects, Rebecca Wall, Walter Hawthorne, Richard Roberts, Fatoumata Seck Jan 2025

Introduction: The Politics And Ethics Of Naming The Names Of Enslaved People In Digital Humanities Projects, Rebecca Wall, Walter Hawthorne, Richard Roberts, Fatoumata Seck

History Faculty Works

No abstract provided.

Go to article

Negotiating Power Relationships In Interprofessional Health Care Groups, Allison L. Noyes Jan 2025

Negotiating Power Relationships In Interprofessional Health Care Groups, Allison L. Noyes

Communication Studies Faculty Works

This chapter examines the communication challenges associated with the hierarchical structure of power relationships among the health professions. It is commonly believed that balancing power relationships is crucial for successful interprofessional collaboration in providing patient care, but because hierarchy is deeply embedded in healthcare organizations, balancing power among health professionals may be an unrealistic ideal. This chapter therefore reframes thinking about professional hierarchy-from a monolithic absolute to a flexible and negotiable social order that can serve multiple purposes at different points in the patient care process. It proposes a communicative framework of interprofessional hierarchy negotiation that can help us to …

Go to article

Naming Names Of Enslaved People In The Senegal Liberations Project, Rebecca Wall, Richard Roberts Jan 2025

Naming Names Of Enslaved People In The Senegal Liberations Project, Rebecca Wall, Richard Roberts

History Faculty Works

Enslavement is linked to enduring and systemic inequalities, hierarchies, and to the erasures of enslaved people's histories, including their names. Such erasures meant and continue to mean different things to different populations of formerly enslaved people. Descendants of enslaved people, especially in the diaspora, turned to well-established means of genealogical research and new forms of DNA research to trace their ancestors. However, in West Africa and in other parts of the world where obvious racialized markers do not automatically hint at an enslaved ancestor, many former enslaved people “would rather forget” their enslaved past or that of their ancestors, precisely …

Go to article

Capturing The World: Exhibition Trophies, Ethnography, And Displays Of Imperial Power, Amy Woodson-Boulton Jan 2025

Capturing The World: Exhibition Trophies, Ethnography, And Displays Of Imperial Power, Amy Woodson-Boulton

History Faculty Works

Exhibition trophies have become invisible to most people reading about and looking at images of the great world’s fairs. This is not surprising; trophies have fallen out of our awareness because they, and the criticisms they provoked, have received surprisingly little scholarly attention. This article reveals not only this largely overlooked form, but also just how much cultural work they were doing and why so many people found them disturbing. Exhibition trophies became a solution to the nineteenth-century design problem of representing progress, imperial power, extractive superabundance, control of the natural world, and industrial capacity. Nineteenth-century exhibitors and collectors made …

Go to article

Post-Pandemic Recovery: Search And Matching, Market Power, And Endogenous Labor Demand, Konstantin Platonov Jan 2025

Post-Pandemic Recovery: Search And Matching, Market Power, And Endogenous Labor Demand, Konstantin Platonov

Economics Faculty Works

Following the COVID-19 pandemic, United States (US) output rebounded quickly, labor productivity rose above pre-pandemic levels, profit rates increased, and the labor market tightened, all despite high unemployment. These observations can be reconciled in a search and matching model of the labor market with two new assumptions of strong firm market power and endogenous labor demand. Market power encourages firm entry when prices rise, while endogenous labor demand enables firms to adapt to shocks rather than shut down. Two regimes arise: one with weak market power, representing the pre-pandemic era and another with strong market power, explaining the post-pandemic recovery. …

Go to article

Minding The Gap: How Do New Lcap Requirements Address Equity For English Learners?, Magaly Lavadenz, Ph.D., Raquel Gonzalez, Ph.D., Elvira G. Armas, Ed.D., Gisela O'Brien, Ph.D., Hannah Catron, M.A., Jeimee Estrada-Miller, Ph.D., M.P.P. Jan 2025

Minding The Gap: How Do New Lcap Requirements Address Equity For English Learners?, Magaly Lavadenz, Ph.D., Raquel Gonzalez, Ph.D., Elvira G. Armas, Ed.D., Gisela O'Brien, Ph.D., Hannah Catron, M.A., Jeimee Estrada-Miller, Ph.D., M.P.P.

Reports

California’s Local Control Funding Formula (LCFF), signed into law in 2013, centers equity as a key to increased and improved services for three targeted student subgroups, including English Learners (ELs), low-income students, and foster youth. As a component of LCFF, districts develop Local Control and Accountability Plans (LCAPs) to specify their goals and strategies for using LCFF funds for equity and continuous improvement purposes. In this report, Lavadenz and colleagues use a sample of 26 California public school districts with high numbers/percentages of ELs, finding that although some progress has been made, public schools continue to miss the mark in …

Go to article

“Fixing” Settler Capitalism: Un/Sustainability In The Former Fort Ord, Clare M. Beer, Sara Salazar Hughes Jan 2025

“Fixing” Settler Capitalism: Un/Sustainability In The Former Fort Ord, Clare M. Beer, Sara Salazar Hughes

Urban and Environmental Studies Faculty Works

California's former Fort Ord Army Base is located on the unceded Indigenous territory of the Ohlone Costanoan Esselen Nation. After seven decades as a training ground for foreign wars, the decommissioning of the base triggered an economic, demographic, and cultural crisis for greater Monterey. The solution to this crisis, the Fort Ord Base Reuse Plan, promised sustainable development in the form of local environmental protection, public higher education, and economic growth. We argue that the Fort Ord Base Reuse Plan illustrates a settler sustainability fix, which the state deploys to secure settler capitalist futurity on the Monterey Peninsula at the …

Go to article

Hunting And Fishing Ceos: Environmental Plunderers Or Saviors?, Thomas Covington, Steve Widler, Keven Yost Jan 2025

Hunting And Fishing Ceos: Environmental Plunderers Or Saviors?, Thomas Covington, Steve Widler, Keven Yost

Finance Faculty Works

CEOs who participate in hunting and fishing benefit by appreciating natural environments and permanently consuming natural resources. We examine whether CEOs who hunt and fish make different environmental decisions and find that firms led by CEOs who obtain the most hunting and fishing licenses have lower environmental performance as measured by MSCI-KLD. This effect is strongest in the environmental category of climate change but also extends to pollution, waste, and the protection of natural capital. Furthermore, firms led by CEOs with the most hunting and fishing licenses are significantly more likely to pay a regulatory settlement for an environmental regulatory …

Go to article

Racial Minorities In Strategic Leadership: An Integrative Literature Review And Future Research Roadmap, Yangyang Zhang, Ann Mooney, Sibel Ozgen Jan 2025

Racial Minorities In Strategic Leadership: An Integrative Literature Review And Future Research Roadmap, Yangyang Zhang, Ann Mooney, Sibel Ozgen

Management Faculty Works

Bolstered by their slow but increasing representation, racial minority strategic leaders have started to capture significant research attention across disciplines. We review this emergent literature, synthesizing and integrating the research progress to date across the 147 articles we identified. Our review highlights a range of factors that have been found to influence racial minority representation in strategic leadership positions, including factors at the firm, board, individual, and environmental levels. We also summarize how such representation has been found to affect firm outcomes (e.g., firm performance, innovation) as well as the careers of the racial minority leaders (e.g., compensation, promotion). Despite …

Go to article

Immersive And Generative Technology: New Tools For Marketing, New Tools For Consumer Response, David W. Stewart, Gabrielle Pizzi, Shashi Matta, Federica Caboni Jan 2025

Immersive And Generative Technology: New Tools For Marketing, New Tools For Consumer Response, David W. Stewart, Gabrielle Pizzi, Shashi Matta, Federica Caboni

Marketing & Business Law Faculty Works

Immersive technologies, including AR, VR, XR, and generative technologies such as Gen‐AI, are reinventing marketing practice and consumer experience. In this article we provide an introductory review of how these technologies are (re)shaping consumer behavior in domains where the physical and digital converge, and consumers' response to them. Our review finds that while immersive technologies enhance engagement through personalization and multisensory feedback, they also raise concerns about accessibility, authenticity, and digital fatigue. Similarly, Gen‐AI, which is transforming many facets of marketing, including customer service, product development, marketing communications, and consumer research, raises new questions related to attribution, co‐creation, authenticity, and …

Go to article

Effects Of Household Characteristics On Low-Income Family Businesses: Evidence From India, Madhubalan Viswanathan, Saravana Jaikumar, Shantanu Dutta, Arun Sreekumar Jan 2025

Effects Of Household Characteristics On Low-Income Family Businesses: Evidence From India, Madhubalan Viswanathan, Saravana Jaikumar, Shantanu Dutta, Arun Sreekumar

Marketing & Business Law Faculty Works

Purpose: What are the effects of household characteristics on returns for entrepreneurs in low-income settings? Referred to as subsistence consumer–merchants or consumer–entrepreneurs in the marketing literature and necessity entrepreneurs in the entrepreneurship literature, such entrepreneurs run family businesses to survive and make ends meet. This paper aims to investigate how various household-level factors (education), individual-level factors (education and gender) and the type of enterprise (retail vs manufacturing) impact returns from low-income family businesses compared to high-income family businesses. Design/methodology/approach: Using panel data from the India Human Development Surveys (IHDS), the study uses a fixed-effects regression approach to analyze household-level and …

Go to article

Fy 2025 Financial Report - September, Tennessee. Emergency Communications Board., Tennessee. Department Of Commerce And Insurance Jan 2025

Fy 2025 Financial Report - September, Tennessee. Emergency Communications Board., Tennessee. Department Of Commerce And Insurance

Financial Reports

No abstract provided.

Go to article

Fy 2025 Financial Report - March, Tennessee. Emergency Communications Board., Tennessee. Department Of Commerce And Insurance Jan 2025

Fy 2025 Financial Report - March, Tennessee. Emergency Communications Board., Tennessee. Department Of Commerce And Insurance

Financial Reports

No abstract provided.

Go to article

Fy 2025 Closing Financial Report, Tennessee. Emergency Communications Board., Tennessee. Department Of Commerce And Insurance Jan 2025

Fy 2025 Closing Financial Report, Tennessee. Emergency Communications Board., Tennessee. Department Of Commerce And Insurance

Financial Reports

No abstract provided.

Go to article

Development And Evaluation Of Machine Learning Models For Early Pediatric Sepsis Prediction, Ancita M. Andrade Jan 2025

Development And Evaluation Of Machine Learning Models For Early Pediatric Sepsis Prediction, Ancita M. Andrade

Browse all Theses and Dissertations

Sepsis is a leading cause of pediatric mortality, claiming more lives in the United States annually than all childhood cancers combined. Early identification in Emergency Departments (EDs) remains challenging, as the current Phoenix criteria establishes an updated international consensus definition for sepsis, however is not designed for use as a screening tool. This study aimed to develop predictive models identifying pediatric patients at risk of sepsis within 24 hours of admission. Multiple tree-based and deep learning models were trained utilizing clinical and laboratory data from the initial four hours of presentation. Both the LightGBM and LSTM architectures demonstrated superior performance, …

Go to article

Cellular Mechanisms Of Spinal Motoneuron Hypoexcitability Underlying Dynapenia In Aging, Ibrahim Abdul Halim Jan 2025

Cellular Mechanisms Of Spinal Motoneuron Hypoexcitability Underlying Dynapenia In Aging, Ibrahim Abdul Halim

Browse all Theses and Dissertations

Age-related weakness remains poorly understood as the underlying mechanisms remain unclear. While synaptic input and muscular changes have been investigated with age, intrinsic motoneuron excitability alterations are often overlooked. This thesis provides the first direct assessment of intrinsic excitability and ion channel properties of spinal α-MNs from male and female mice across three ages: young, middle aged, and old. Our findings reveal a decline in intrinsic excitability of motoneurons with age in both sexes. Mechanistic analysis shows sex specific differences: female motoneurons exhibit increased dendritic size, hyperpolarized RMP, and SK channel overactivation, whereas males show only SK overactivation with age. …

Go to article

Wearable Sensor Data Analysis For Machine Learning-Based Detection Of Posture And Autonomic Responses, Chaitanya Vardhini Anumula Jan 2025

Wearable Sensor Data Analysis For Machine Learning-Based Detection Of Posture And Autonomic Responses, Chaitanya Vardhini Anumula

Browse all Theses and Dissertations

This study investigates how Iyengar yoga postures influence autonomic nervous system (ANS) activity by analyzing multimodal physiological signals collected via wearable sensors. The physiological mechanisms underlying Iyengar yoga’s therapeutic effects remain under-explored at the granular, pose-level. Using data collected from 16 participants, this research evaluates whether machine learning models can distinguish between baseline, parasympathetic-dominant, and sympathetic-dominant states based on wrist-worn sensor data. The goals were to explore whether subtle postural variations elicit measurable autonomic responses and to identify which sensor features most effectively capture these changes. Participants performed a sequence of yoga poses while wearing synchronized sensors measuring electrodermal activity …

Go to article

Impact Of Graph Structures For Rag Outcomes In Llms, Chris Davis Jaldi Jan 2025

Impact Of Graph Structures For Rag Outcomes In Llms, Chris Davis Jaldi

Browse all Theses and Dissertations

Explainability, interpretability and adaptability (EIA) remain three central motivations for next-generation Artificial Intelligence (AI), especially as Large Language Models (LLMs) continue to engage with ever-increasing knowledge bodies. As the landscape pushes toward controllable agentic Retrieval-Augmented Generation (RAG) systems where AI agents engage in iterative, guided reasoning, a critical question arises as to the extent to which the knowledge design itself shapes these models' reasoning behavior. This work conducts a systematic evaluation of how different conceptualizations and representation of the identical knowledge affect an LLM's path-based reasoning capabilities. Through the introduction of controlled variations along graph structural complexity, linguistic and semantic …

Go to article

Re-Parameterizing Adversarial Reprogramming In Low-Dimensional Subspace For Efficient Software Vulnerability Detection, Hootan Alavizadeh Jan 2025

Re-Parameterizing Adversarial Reprogramming In Low-Dimensional Subspace For Efficient Software Vulnerability Detection, Hootan Alavizadeh

Browse all Theses and Dissertations

Software vulnerabilities are a major cause of security breaches, making effective detection critical. Traditional learning-based methods require large datasets and significant computational resources, which are often impractical due to high annotation costs and data scarcity. To address this, we propose an innovative system, RearVul, which Re-parameterizes adversarial reprogramming in a low-dimensional subspace for software vulnerability detection. Unlike conventional approaches, RearVul repurposes a pre-trained classification model using adversarial reprogramming, enabling detection with minimal modifications. It learns a universal perturbation applied to program representations, preserving the original model’s feature extraction capabilities while adapting it to a new domain. Furthermore, we introduce a …

Go to article

The Responses Of Insect Herbivores And Local Food Webs To Invasive Shrubs, Logan W. Huber Jan 2025

The Responses Of Insect Herbivores And Local Food Webs To Invasive Shrubs, Logan W. Huber

Browse all Theses and Dissertations

Invasive species cause widespread ecological disruption and economic loss. Invasive plants in particular have the potential to reshape forest food webs from the bottom up. However, the extent to which herbivores colonize and assimilate invasive plants into their diets remains unclear. To address this, I surveyed caterpillar abundance, richness, and herbivory on two invasive shrubs, Lonicera maackii and Elaeagnus umbellata, across regions differing in infestation history. Lonicera maackii supported lower overall caterpillar abundance and richness but hosted a more diverse and abundant caterpillar community in the heavily infested region. E. umbellata supported robust caterpillar communities and experienced herbivory levels comparable …

Go to article

Subjective Readiness Forecasting Using Supervised Machine Learning And Wearable Device Data, Nathaniel Michael Weiland Jan 2025

Subjective Readiness Forecasting Using Supervised Machine Learning And Wearable Device Data, Nathaniel Michael Weiland

Browse all Theses and Dissertations

Recent advances in wearable technology allow continuous monitoring of physiological and behavioral data, opening new opportunities for real-time assessments of readiness and well-being. However, creating predictive models that generalize across diverse users remains challenging, especially in high-stakes settings like the military, where preventable injuries, illnesses, and stress-related performance declines are frequent. This research assesses the feasibility of using supervised machine learning models trained on wearable device data to predict subjective readiness indicators—recovery, stress, injury, and illness. Data from over 10,000 users in the OHWS (Optimizing the Human Weapons System) program combined daily check ins with physiological metrics from Garmin, Polar, …

Go to article

Computational Assessment Of Vitrimers Self-Healing For Renewable Energy And Aerospace Structures, Walaaeldin Mohamed Ahmed Derbala Jan 2025

Computational Assessment Of Vitrimers Self-Healing For Renewable Energy And Aerospace Structures, Walaaeldin Mohamed Ahmed Derbala

Browse all Theses and Dissertations

Self-healing polymers, particularly vitrimers, are emerging as promising candidates in the development of advanced materials for renewable energy and aerospace structures. These materials exhibit dynamic covalent bond exchange mechanisms that enable reprocess ability, damage repair, and extended operational lifetime under harsh conditions. This study presents a density functional theory (DFT)-based computational investigation of the mechanistic pathways and energetics of bond exchange reactions in model vitrimer systems. We explore transition states, energy barriers, and thermodynamic features corresponding to associative and dissociative self-healing reactions in vitrimers. The study focuses on Diaminodiphenyl disulfide (AFD), a bifunctional molecule composed of two para-substituted aminophenyl rings …

Go to article

Ab Initio Simulations For Oxidation Of An Ultra-High Temperature Ceramic (Hfb2), Wesley I. Black Jan 2025

Ab Initio Simulations For Oxidation Of An Ultra-High Temperature Ceramic (Hfb2), Wesley I. Black

Browse all Theses and Dissertations

Ultra-High Temperature Ceramics are a class of ceramics that possess high strength and melting points in excess of 3000°C. These ceramics are promising for aerospace applications, where materials need to endure high-temperature and high-stress environments. Utilizing ab initio simulations, this thesis research focuses on the atomistic details of oxidation for a typical ultra-high temperature ceramic material, namely hafnium diboride. The simulations provide energy barriers for transition from the initial to final structures via transition states on the (0 0 0 1) surface. These result in estimates for reaction rates and other thermodynamic features that are essential for assessing applicability under …

Go to article

Reinforcement Learning For Adversarial Environments: Multi-Agent Hide And Seek With Multi-Modal Sensing, Christian Alejandro Carrizales Jan 2025

Reinforcement Learning For Adversarial Environments: Multi-Agent Hide And Seek With Multi-Modal Sensing, Christian Alejandro Carrizales

Browse all Theses and Dissertations

The development of intelligent and competitive agents in AI versus AI adversarial environments was explored through the utilization of reinforcement learning techniques with sensing modalities. A Hide-and-Seek simulation environment was developed using the Unity game engine along with the ML-Agents Toolkit. An engagement test campaign with a set of performance metrics was designed. Four AI versus AI adversarial scenarios were considered using the Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC) multi-agent reinforcement learning algorithms. Furthermore, the impact of sensing modalities on competing agents’ learning performance was investigated by varying the sensing capabilities of the hider and seeker, respectively. Experiments …

Go to article

Dataset Generation For Routing Policy Study In Ad Hoc Wireless Networks, Vishnu Vishnu Priya Jan 2025

Dataset Generation For Routing Policy Study In Ad Hoc Wireless Networks, Vishnu Vishnu Priya

Browse all Theses and Dissertations

Ad Hoc wireless networks, with their decentralized architecture and dynamic topology, present challenges in reliable and energy-efficient routing. While machine learning (ML) and reinforcement learning (RL) offer promising solutions, progress is limited by the lack of realistic, high-fidelity datasets. This research introduces a simulation-based framework for generating four diverse datasets representing combinations of node mobility (mobile vs. static) and spatial distribution (random vs. clustered). Each dataset captures critical metrics such as Signal-to-Interference-plus-Noise Ratio (SINR), bottleneck rate, and power consumption across multi-hop paths. A lookahead-based greedy routing algorithm with scenario-aware power control is implemented to emulate practical behavior. Supervised ML models, …

Go to article

Isometric Centroid Encoder (Ice) And Synthetic Data Generation Approaches For Biological Datasets, Prathyusha Kanakamalla Jan 2025

Isometric Centroid Encoder (Ice) And Synthetic Data Generation Approaches For Biological Datasets, Prathyusha Kanakamalla

Browse all Theses and Dissertations

This thesis addressed two main challenges in biological data analysis: structure-preserving dimensionality reduction and synthetic data generation for small sample datasets. I proposed the Isometric Centroid Encoder (ICE), a supervised dimensionality reduction method that preserves pairwise distances between class centroids during dimension reduction. Unlike existing methods like Centroid Encoder and Super Encoder, ICE explicitly maintains geometric relationships between biological classes, achieving nearly perfect structure preservation at C dimensions (where C equals the number of classes) with strong performance even in 2D and 3D spaces. Additionally, I compared three generative models (VAE, LSH-GAN, and scDiffusion) for synthetic data generation on small …

Go to article

First Prev Next Last