Digital Commons Network^™

Learning With Unreliability : Fast Few-Shot Voxel Radiance Fields With Relative Geometric Consistency, Yingjie Xu, Bangzhen Liu, Hao Tang, Bailin Deng, Shengfeng He

Research Collection School Of Computing and Information Systems

We propose a voxel-based optimization framework, Re VoRF, for few-shot radiance fields that strategically ad-dress the unreliability in pseudo novel view synthesis. Our method pivots on the insight that relative depth relationships within neighboring regions are more reliable than the ab-solute color values in disoccluded areas. Consequently, we devise a bilateral geometric consistency loss that carefully navigates the trade-off between color fidelity and geometric accuracy in the context of depth consistency for uncertain regions. Moreover, we present a reliability-guided learning strategy to discern and utilize the variable quality across syn-thesized views, complemented by a reliability-aware voxel smoothing algorithm that smoothens …

Rethinking Multi-View Representation Learning Via Distilled Disentangling, Guanzhou Ke, Bo Wang, Xiaoli Wang, Shengfeng He

Research Collection School Of Computing and Information Systems

Multi-view representation learning aims to derive robust representations that are both view-consistent and view-specific from diverse data sources. This paper presents an in-depth analysis of existing approaches in this domain, highlighting a commonly overlooked aspect: the redundancy between view-consistent and view-specific representations. To this end, we propose an innovative framework for multi-view representation learning, which incorporates a technique we term 'distilled disentangling'. Our method introduces the concept of masked cross-view prediction, enabling the extraction of compact, high-quality view-consistent representations from various sources without incurring extra computational overhead. Additionally, we develop a distilled disentangling module that efficiently filters out consistency-related information …

The Whole Is Better Than The Sum : Using Aggregated Demonstrations In In-Context Learning For Sequential Recommendation, Wang Lei, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have shown excellent performance on various NLP tasks. To use LLMs as strong sequential recommenders, we explore the in-context learning approach to sequential recommendation. We investigate the effects of instruction format, task consistency, demonstration selection, and number of demonstrations. As increasing the number of demonstrations in ICL does not improve accuracy despite using a long prompt, we propose a novel method called LLMSRec-Syn that incorporates multiple demonstration users into one aggregated demonstration. Our experiments on three recommendation datasets show that LLMSRec-Syn outperforms state-of-the-art LLM-based sequential recommendation methods. In some cases, LLMSRec-Syn can perform on par with …

Zero-Shot Out-Of-Distribution Detection With Outlier Label Exposure, Choubo Ding, Guansong Pang

Research Collection School Of Computing and Information Systems

As vision-language models like CLIP are widely applied to zero-shot tasks and gain remarkable performance on in-distribution (ID) data, detecting and rejecting out-of-distribution (OOD) inputs in the zero-shot setting have become crucial for ensuring the safety of using such models on the fly. Most existing zero-shot OOD detectors rely on ID class label-based prompts to guide CLIP in classifying ID images and rejecting OOD images. In this work we instead propose to leverage a large set of diverse auxiliary outlier class labels as pseudo OOD class text prompts to CLIP for enhancing zero-shot OOD detection, an approach we called Outlier …

Analyzing Swimming Performance Using Drone Captured Aerial Videos, Ngoc Doan Thu Tran, Kenny Tsu Wei Choo, Shaohui Foong, Hitesh Bhardwaj, Shane Kyi Hla Win, Wei Jun Ang, Kenneth T. Goh, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Monitoring swimmer performance is crucial for improving training and enhancing athletic techniques. Traditional methods for tracking swimmers, such as above-water and underwater cameras, face limitations due to the need for multiple cameras and obstructions from water splashes. This paper presents a novel approach for tracking swimmers using a moving UAV. The proposed system employs a UAV equipped with a high-resolution camera to capture aerial footage of the swimmers. The footage is then processed using computer vision algorithms to extract the swimmers' positions and movements. This approach offers several advantages, including single camera use and comprehensive coverage. The system's accuracy is …

The Next 'Deep' Thing In X To Z Marketing: An Artificial Intelligence Driven Approach, Vincent Charles, Nripendra Rana, Ilias O. Pappas, Morten Kamphaug, Keng Siau, Kenth Engo-Monsen

Research Collection School Of Computing and Information Systems

The existing body of literature indicates a growing interest in research pertaining to the influence of artificial intelligence (AI) on marketing strategies, processes, and practices. However, further studies are required to fully unravel its complete potential and the implications it holds for practical application. The aim of this special issue on “The Next ‘Deep’ Thing in X to Z Marketing: An Artificial Intelligence-Driven Approach” is to explore the next frontiers and delve into the various facets of AI-driven marketing, shedding light on cutting-edge research and practical insights that can shape the future of the field. It also focuses on novel …

Poster: Profiling Event Vision Processing On Edge Devices, Ila Nitin Gokarn, Archan Misra

Research Collection School Of Computing and Information Systems

As RGB camera resolutions and frame-rates improve, their increased energy requirements make it challenging to deploy fast, efficient, and low-power applications on edge devices. Newer classes of sensors, such as the biologically inspired neuromorphic event-based camera, capture only changes in light intensity per-pixel to achieve operational superiority in sensing latency (O(μs)), energy consumption (O(mW)), high dynamic range (140dB), and task accuracy such as in object tracking, over traditional RGB camera streams. However, highly dynamic scenes can yield an event rate of up to 12MEvents/second, the processing of which could overwhelm …

Refining Chatgpt-Generated Code: Characterizing And Mitigating Code Quality Issues, Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Kla Tantihamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo

Research Collection School Of Computing and Information Systems

Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its remarkable ability in language understanding and human-like responses. ChatGPT, based on GPT-3.5 architecture, has shown great promise for revolutionizing various research fields, including code generation. However, the reliability and quality of code generated by ChatGPT remain unexplored, raising concerns about potential risks associated with the widespread use of ChatGPT-driven code generation.In this article, we systematically study the quality of 4,066 ChatGPT-generated programs of code implemented in two popular programming languages, i.e., Java and Python, for 2,033 programming tasks. The goal of this work is threefold. First, …

Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – First Quarter 2024, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Draft Final Bpsou Unreclaimed Sites Anderson Shaft Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Feedback Loops: Upward Appreciation., Patrick Barry

Articles

When was the last time you tried to make your boss feel welcome? Last week? Last month? Never?

How about the last time you tried to make one of your mentors feel welcome? Your mom? Your dad? A particularly helpful pastor, rabbi, imam, or other religious leader?

A Wide Range Of Fusions And Alterations Are Detected In Myb- Or Mybl1- Altered Gliomas, S Rajan, Z Abdullaev, H Lidov, Y Wilson, D Thomas, Joseph Fullmer, K Jones, D Brown, P Kobalka, A Buckley

Conference Presentation Abstracts

Background: Diffuse astrocytoma, MYB- or MYBL1-altered are rare pediatric low-grade gliomas, reported in young adults that are often associated with refractory seizures and generally located in the supratentorial compartment. While GFAP is consistently expressed, interestingly OLIG2 expression (another glial marker) is not a common finding. Here we describe the various associated genetic alterations. Methods: Fourteen cases matching to methylation class (MC), Diffuse astrocytoma, MYB- or MYBL1-altered, were analyzed for structural variants/fusion partners. Results: The median age was 16 years (range 1-64), with male: female ratio of 1:1. All but one was supratentorial (one located in pons). On histology, some showed …

Erdheim-Chester Disease Presenting In The Foramen Magnum With Mass Effect Of A 39-Year-Old Male, Joseph Fullmer, Brandon Metcalf, Casey Schukow

Conference Presentation Abstracts

Background: Erdheim-Chester disease (ECD) is a rare clonal histiocytosis neoplastic condition. This condition is characterized by a non-specific infiltration of foamy macrophages in multiple organs, such as the bone or skeletal system (>95%), retroperitoneum, kidneys, and heart, resulting in inappropriate inflammation, fibrosis, and multi-end organ dysfunction. central nervous system (CNS) is present in a minority of cases. This condition is extremely rare with only a few hundred cases reported in medical literature. Methods: We present a case of ECD in a 39-year-old male with past medical history for type-2 diabetes mellitus, neuropathy, and low testosterone on replacement therapy who …

Architectural Elements Contributing To Interpretability Of Deep Neural Networks (Dnns), Emily Barnes, James Hutson

Faculty Scholarship

The interpretability of Deep Neural Networks (DNNs) has become a critical focus in artificial intelligence and machine learning, particularly as DNNs are increasingly used in high-stakes applications like healthcare, finance, and autonomous driving. Interpretability refers to the extent to which humans can understand the reasons behind a model's decisions, which is essential for trust, accountability, and transparency. However, the complexity and depth of DNN architectures often compromise interpretability as these models function as "black boxes." This article reviews key architectural elements of DNNs that affect their interpretability, aiming to guide the design of more transparent and trustworthy models. The primary …

Cost Modeling Of Provision C.3 Green Stormwater Infrastructure Requirements For Residential Development In Concord, California, James H. Mizutani

Community and Regional Planning Program: Professional Projects

To assist the city of Concord in achieving its housing goals as presented in its general plan, while still meeting the stormwater discharge requirements laid out in the city’s municipal discharge permit, I worked with local developers and consultants to create a spreadsheet modeling tool that allows housing developers to estimate the total cost of green stormwater infrastructure needed to comply with local regulations.

This report contains a summary of the conditions leading to the necessity of this tool, the steps the tool takes that go beyond existing models, a description of how the model operates, instructions on how to …

Parent Strategies For Antiracist Parenting In Families Of Multiracial And Asian Descent, Matlida Tavares

Doctoral Dissertations

The Pew Research Center’s analysis of United States census data depicts and increasing number of individuals identifying as more than one race. From 2010 to 2020, the population had nearly doubled to 13.5 million. This is particularly evident in states with large populations of Asian American communities such as California, where nearly two million people identify as multiracial and people identifying as both White and Asian making up the largest portion of the 61% increase the state saw since 2010 (Henderson, 2022). Despite claims that an increase in multiracial individuals signifies an end of racism, multiracial children, navigating complex ethnic …

Berkeley Pit And Discharge Pilot Project Downstream Field Sampling Plan 2024 Update, Revision 1, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Effect Of Dietary Interventions Or Patterns On The Cardiometabolic Health Of Individuals Treated With Androgen Deprivation Therapy For Prostate Cancer: A Systematic Review, Hattie H. Wright, Meegan A. Walker, Suzanne Broadbent, Corey Linton, Jacob J. Keech, Karina T. Rune, Cindy L. Davis, Michelle Morris, Anao Zhang, Robert U. Newton, Skye Marshall

Research outputs 2022 to 2026

Prostate cancer survivors treated with androgen deprivation therapy may be at increased risk of cardiovascular disease. Dietary recommendations for the prevention and/or management of cardiovascular disease for these individuals are lacking. This review synthesizes the evidence on the effect of dietary interventions on cardiometabolic biomarkers and cardiovascular disease risk in prostate cancer survivors receiving androgen deprivation therapy. A systematic review was conducted across PubMed, CINAHL, Embase, and Cochrane CENTRAL. Intervention or observational cohort studies evaluating diets, nutrients, or nutraceuticals with or without concurrent exercise interventions on cardiovascular disease, cardiovascular events, or cardiovascular disease biomarkers in those treated with androgen deprivation …

Unresectable Cardiac Metastasis From Melanoma Responds Well To Combination Immunotherapy - A Case Report, Ek Leone Oh, Peter Dias, Zeyad Al-Ogaili, Jacobus Otto, Lydia Warburton

Research outputs 2022 to 2026

Background: Melanoma can metastasize to distal organs including the heart although presentation with a symptomatic cardiac metastasis is rare. The optimal management remains uncertain particularly in the era of immunotherapy. Case summary: We report a case presenting with a large unresectable cardiac metastasis from melanoma that responded well to treatment with immunotherapy. Conclusion: Melanoma can metastasize to the heart and is often challenging to diagnose. Combination immunotherapy can be an effective treatment option even in the setting of a symptomatic and unresectable cardiac metastasis.

Things To Keep In Mind When Selecting Physical Assessments In Youth Soccer: Correlations Between Test Performances, Interlimb Asymmetries, And Effects Of Maturation, Francisco Javier Robles-Palazón, John J. Mcmahon, Francisco Ayala, Paul Comfort

Research outputs 2022 to 2026

A range of field-based tests have been proposed for inclusion in physical performance assessment batteries. However, there are obvious time and human resources constraints in applied settings. The knowledge of potential relationships between tests on performance, asymmetries, as well as maturation-induced changes, may help select the most informative and least time-consuming testing battery. The purposes of this study were: (1) to determine correlations in performance between different field-based tests, in interlimb asymmetry between those unilateral tests, and between asymmetry scores and test performances, and (2) to determine the influence of players’ maturity status on test performances and asymmetries. A total …

Reformed Worship (Rw) 152 - Work And Worship (June 2024), Reformed Worship Editors

Reformed Worship Magazine

Editorial: Continuing the Rhythm by Joyce Borger....2

Living Worship by Ron Man....3

Worship Series: Work and Worship by Moses Kang and Stephanie VanRooyen....7

Daily Worship and Vocation by Paul Ryan....15

Songs for the Season: Songs for Work and Worship by Kathryn Ritsema Roelofs....19

For Pastors: Preachers on a Mission by Scott Hoezee....25

The Ten Commandments in the Reformed Tradition by Yudha Thianto....27

"Give Us This Day Our Daily Bread" by Joyce Borger....30

Owning and Being Owned by the Psalms by David Koll....33

Whole Worship from the Whole Psalter by Joel Coppieters …

Before You Stick, Know The Tricks!, Quinlan Duncan, Samantha Entwisle, Destiny Nwoko, Ashley Rich

2023

No abstract provided.

Prevention Is The Only Way, Don't Let A Fall Ruin Your Day, Grace Wichmann, Sagen Williams, Deanna Fleeman, Lauren Kinner, Caroline Honza

2023

No abstract provided.

Effects Of Weighted Blanket Use On Comfort Levels In The Inpatient Pediatric Population, Madelym Talbert, Kristen Bowen, Bianca Maughmer, Gisselle Garza, Alyssa Carrizales, Graciela Gutierrez, Halle Kliemann, Katelyn Dickerson

2023

No abstract provided.

The Effectiveness Of Photo-Biomodulation Therapy In Oral Mucositis, Molly Amado, Kara Otts, Madeline Scott, Sophie Steffey, Katie Williams, Evelyn Zaragoza

2023

No abstract provided.

Bundle Up For Ue Prevention, Mikaela Potaracke, Bre Showers, Nia Traylor, Duy Lu

2023

No abstract provided.

Evaluating Nurse Perception Of Continuous Glucometer Monitoring (Cgm) Use At The Bedside, Valeria De La Torre, Shantia Henderson, Savannah Kenvin, Hannah Lee, Faith Van Haaster, Jordan White

2023

No abstract provided.

Ready, Set, Code!Investigating The Use Of Two Standardized Resuscitation Algorithms To Improve Outcomes In Patients In A Level 4 Nicu., Lauren Ayala, Grace Farina, Shelby Hudson, Anna Nguyen, Mireya Ortiz, Luke Wuesthoff

2023

No abstract provided.

Rn Perception Of Ease During Pediatric Capillary Blood Draws, Cierra Davis, Rachel Santinover, Maria Soria, Amber Waldron, Tarayja White

2023

No abstract provided.

Improving Communication With Patient Passports, Terrie-Lynne Hundley, Alexandra Schreiber, Tiffany Dang, Breezy Escamilla Herrera, Samantha Le, Elizabeth Vincent, Surabhi Lamsal, Bianca Hernandez, Andrea Robinson

2023

No abstract provided.