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Dataset for: Tir, J.K. & Watts, H.E. 2025. Declining food availability alters vocal behavior of a nomadic finch.
No full textDataset for: Tir, J.K. & Watts, H.E. 2025. Declining food availability alters vocal behavior of a nomadic finch. Behavioral Ecology</p
2024 Cost and Return Estimates of Establishing, Producing, and Packing Honeycrisp Apples in Washington
Get PDFThe results presented in this WSU publication serve as a general guide for evaluating the feasibility of producing Honeycrisp apples grown on two training systems - angled V and vertical spindle - in Washington State as of 2024. This publication is not intended to be a definitive guide to production practices, but it is helpful in estimating the physical and financial requirements of comparable plantings. Cost estimations in the enterprise budget also vary depending on its intended use. To avoid drawing unwarranted conclusions for any particular orchard, readers must closely examine the assumptions made in this guide and then adjust the costs, returns, or both as appropriate for their own orchard operation
Measuring Program Effectiveness for the College Assistance Migrant Program (CAMP): Student 1st Year Completion and 2nd Year Retention
Get PDFCAMP is a federally funded program that works with first- year students from migrant or seasonal farm working backgrounds to complete their first year towards graduation. In this pioneering study, we evaluated the program’s effectiveness by capturing 18 years of longitudinal data and analyzing first and second-year quantitative indicators of migrant students (Figure 1)
Colloidal synthesis of Mn2+-doped SrTiO3 nanocrystals: B site substitution and spin-relaxation dynamics
No full textDepicting belonging Exploring the roles of inclusive and experiential imagery in higher education advertising for Gen-Z engagement
Get PDFThis research examines how inclusive and experiential imagery in higher education advertisements influences Generation Z audiences’ perceptions. Prior studies support associations between inclusive advertising, depicting diverse individuals and positive brand perceptions, as well as beneficial social outcomes. Additionally, experiential imagery that portrays students engaged in real-world learning environments, such as a television studio or hands-on projects, is highly valued by Gen-Z and may enhance engagement and emotional resonance. Guided by Self-Categorization Theory, which explains how individuals align with social groups based on visual cues and identity relevance, and the Model of Inspiring Media, which highlights the persuasive power of emotionally meaningful content, this study employs a randomized 2 (inclusivity: (inclusive vs. non-inclusive) × 2 (experiential focus: fieldwork vs. no fieldwork) factorial survey experiment with N=300 Gen-Z young adults to explore these effects. Results revealed that inclusive advertising imagery significantly enhanced perceptions of authenticity, inclusiveness, professionalism, and emotional resonance, while viewing fieldwork-based imagery was associated with perceptions of professionalism and emotional engagement. Furthermore, mediation analysis showed that inspiring emotional responses and perceived authenticity were the strongest predictors of word-of-mouth intent, suggesting that values-aligned and emotionally meaningful visuals are critical for audience engagement in higher education marketing. Findings offer actionable insights for higher education marketers seeking to authentically engage Gen-Z students and contribute theoretical understanding of how inclusive, value-aligned imagery drives audience engagement in educational contexts
HR Source Newsletter, February 2025
No full textIn this issue of HR Source (a newsletter for Washington State University employees): Text and Voice Call MFA options ending March 25; Celebrating Black History Month; Inclement Weather and Suspended Operations; Workday Feature Release coming in Marc
CloverGram, May 2025
No full textIn this issue: National Qualifying Event for Shooting Sports; 4-H Teen Conference ; Required Training for Volunteers; New Internship for 4-H Graduate; Prize Drawing Next Week; Council Meeting Weds, 5/1
Design Considerations and Performance Evaluation of Timber-Concrete Composite (TCC) Floor Systems Subjected to Negative Bending Moment
Get PDFTimber-concrete composite (TCC) floors utilize the best mechanical properties of timber and concrete. It also combines the sustainability, high strength-to-weight ratio of timber with the strength and durability of concrete, resulting in an efficient and eco-friendly solution for long-span structures. While most research has focused on simply supported TCC floor systems under positive bending, structural engineers increasingly favor continuous spans for their ability to distribute the loads, higher overall stiffness compared to simply-supported slab, reduced deflections, and higher redundancy in the system that increases the margin of collapse for gravity load resisting systems. However, continuous spans require the development of negative bending moments at interior supports (i.e., above girders or column supports), reversing the stress distribution and placing concrete in tension and timber in compression. In order to develop resistance to negative bending moments at the supports, the concrete should be reinforced by rebars, and the tensile force in the rebars should be transferred to the cross-laminated timber (CLT) section by means of shear connections that provides both stiffness and strength for the composite action between the concrete and CLT sections. Currently, there is no validation of the current design models (γ-method and Elastoplastic method) to investigate the behavior of TCC floor systems under negative bending moment. This study investigates and validates the behavior of TCC floors under negative bending moment through a full-scale experimental program. It examines the composite action between CLT and concrete, performance of shear connectors, failure modes, strength and ductility capacity, and overall flexural stiffness. The findings of this study revealed that the commonly used Gamma method overestimates the initial stiffness of TCC systems under negative bending, leading to potentially unconservative serviceability predictions. In contrast, the nonlinear Elastoplastic method showed strong agreement with experimental results in predicting both ultimate capacity and failure progression, making it a more reliable analytical tool for design of TCC floor systems. Experimental testing also demonstrated significant ductility and structural integrity, with the floor systems exhibiting load-carrying capacity even after reaching the peak capacity, which helps re-distribution of loads to other members and increase the margin of collapse for gravity load resisting systems with TCC floor slabs. These outcomes highlight the robustness of TCC systems in negative bending regions and support their safe application in continuous-span configurations. The integrated experimental and analytical results advance modeling accuracy, inform design methodologies, and support future code development for TCC floors, facilitating their adoption in hybrid structural systems such as mid- to high-rise buildings
AI-DRIVEN DESIGN AND OPTIMIZATION OF HETEROGENEOUS CHIPLET SYSTEMS FOR SERVER-SCALE AI WORKLOADS
Get PDFWe are at the cusp of a technological revolution driven by deep generative models, also referred to as foundation models (FMs), such as ChatGPT for text and Stable Diffusion for images. These models, containing hundreds of billions of parameters trained on massive unlabeled datasets, have redefined the computational scale of modern artificial intelligence. In the near future, fine-tuning foundation models on domain-specific and privacy-sensitive data will emerge as a central challenge. The dominant architecture enabling this new era is the Transformer, whose scalability and generalization capabilities have made it indispensable across natural language processing, computer vision, and multi-modal learning.However, the exponential growth in model size and computational demand has outpaced the capabilities of monolithic System-on-Chip (SoC) designs. The yield, compute, and power-delivery limits of a monolithic-die have led to chiplet-based architectures, where multiple smaller dies called chiplets are interconnected through an interposer. This architectural paradigm provides modularity, higher yield, and cost efficiency but also introduces new design challenges related to communication bottlenecks, defect tolerance, thermal balance, and heterogeneous integration.
This dissertation addresses these challenges through a series of analytical, architectural, and optimization frameworks proposed that in conjunction enable scalable, reliable, and energy-efficient heterogeneous multi-chiplet systems for deep learning acceleration.
First, SWAP introduces a server-scale communication-aware framework that co-optimizes chiplet and link placement for server-scale deep learning workloads. Building on this foundation, Florets for chiplets proposes a dataflow-aware Network-on-Interposer (NoI) using space-filling curves (SFCs) to align computational and communication locality, achieving high performance and robustness even under defective chiplets. Extending the applicability of the space-filling curve-based paradigm, the TODAES paper presents a heterogeneous multi-chiplet accelerator to accelerate Transformer models, optimizing data-access patterns to improving latency and energy efficiency compared to state-of-the-art accelerators.
To exploit device- and architecture-level heterogeneity, HeMu introduces a multi-objective optimization framework that integrates diverse PIM technologies (SRAM, ReRAM, and their varying architectures) in a unified 2.5D platform. It determines optimal chiplet configurations, achieving an order of magnitude higher energy-efficiency improvement over homogeneous baselines. Building on this, HetOU extends the optimization to the operation-unit level, dynamically managing wordline and bitline activations in PIM crossbars for fine-grained energy control. Finally, paving a way towards next generation of multi-chiplet architectures, an architecture-package co-design framework for glass-interposer-based systems is proposed. The architecture bridges architecture and packaging, ensuring mechanical integrity and sustained high performance within the thermal limits.
Collectively, these contributions establish a unified design methodology that spans communication, architecture, device, and package co-optimization, forming a complete stack for next-generation heterogeneous computing systems. The proposed frameworks not only improve scalability, performance, and thermal balance but also lay the foundation for adaptive, ML-driven design exploration which can be exploited in future computing paradigms
PDX PROTEINS FROM ARABIDOPSIS THALIANA AS NOVEL SUBSTRATES OF CATHEPSIN B: IMPLICATIONS FOR VITAMIN B6 BIOSYNTHESIS REGULATION
Get PDFVitamin B6 (vitB6) is an important molecule that is critical for metabolism and development in plants. It is a cofactor for a plethora of biochemical reactions that regulate basic cellular function and physiology. Plants can synthesize vitB6 de novo with only two proteins: Pyridoxine Biosynthesis Protein 1(PDX1) and PDX2. VitB6 biosynthesis in plants is well understood, but there are still many open questions in terms of regulatory mechanisms. Because of the central role of the vitamin in cellular metabolism, it is likely that the biosynthesis of vitB6 is highly regulated. One such regulatory mechanism that may impact the rate of vitB6 production is protein proteolysis. There are several ways proteins can be degraded, including the Ubiquitin Proteasome Pathway (UPP) and the autophagy pathway. This work demonstrates that PDX proteins are unstable in a UPP-independent manner. In addition, it shows that cathepsin B, a cysteine protease connected to autophagy, is a novel PDX interactor that facilitates PDX degradation, two novel findings that connect cathepsin activities with vitB6 biosynthesis. This work will discuss the implications of these findings, as well as what is known about vitB6 and PDX proteins in general, including broader applications