Digital Commons Network^™

The Impact Of Innovation Belief On Strategic Product R&D, Yan Zhou

Dissertations and Theses Collection (Open Access)

In highly uncertain innovation scenarios characterized by long R&D cycles and high risks, how to continuously drive enterprises to develop market-competitive blockbuster products has become a critical issue of shared concern in both practice and academia. Existing research has mostly explained differences in blockbuster product R&D from perspectives such as resource allocation, organizational structure, or institutional incentives, while paying insufficient attention to cognitive and belief factors at the individual level. Based on this, this paper introduces the psychological and cognitive variable of "innovative belief" to systematically examine its impact mechanism on blockbuster product R&D capability.

Taking the R&D team of …

Market Culture And Innovation Acceptance In Fire Safety Products: The Moderating Role Of Perceived Market Regulation, Xu Zhang

Dissertations and Theses Collection (Open Access)

Against the backdrop of continuously rising global fire safety standards and ongoing technological iteration in fire protection products, whether innovative fire protection products can be effectively accepted by the market has become a critical issue influencing the returns on firms’ innovation investments and the high-quality development of the industry. Existing studies have predominantly explored innovation diffusion mechanisms from the perspectives of technological attributes or organizational factors, while paying relatively limited attention to market culture as a contextual factor, as well as to the differentiated role that government regulation may play in this process. Based on this, this study takes institutional …

A Narrative Review On The Therapeutic Potential Of Stem Cells In Neurodegenerative Diseases: Advances, Insights, And Challenges, Tirath Patel, Fathimathul Henna, Iman Sharif, Inaya Javed, Fatima Mustafa, Hannan Sharif, Fatima Nasir, Mirat Javaid

School of Medicine Publications

Background: Neurodegenerative diseases (NDs) such as Parkinson's disease (PD), Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), Huntington's disease (HD) are set apart by progressive neuronal loss and concomitant functional decline. Traditional therapies are equipped with only symptomatic relief, devoid of neurorestorative properties. Stem-cell-based therapies have the potential to revolutionize neurological care by replenishing lost cells, mitigating inflammation, and fostering a neuroprotective environment.

Objectives: This narrative review aims to appraise the treatment potential of various stem cell types in managing NDs, highlighting their functional pathways, delivery methods, and current experimental validation.

Methods: A comprehensive literature search was carried out based on …

Pericardial Effusion, Children's Mercy Kansas City

Clinical Pathways

No abstract provided.

Total Hip Replacement Eras, Children's Mercy Kansas City

Clinical Pathways

No abstract provided.

Uncovering Predictors Of Bipolar Ii Conversion To Bipolar I: A Machine Learning Analysis Of National Health Records In Taiwan, Chih-Wei Hsu, Yang-Chieh Brian Chen, Liang-Jen Wang, Kuo-Chuan Hung, Mu-Hong Chen, Eduard Vieta, Chien-Yuan Chen, Chih-Sung Liang, Andre F Carvalho

Children’s Nutrition Research Center Staff Publications

Background: Bipolar II disorder (BD-II) can progress to bipolar I disorder (BD-I), carrying profound psychosocial consequences. However, limited research has investigated the transition from BD-II to BD-I. Our study uses machine learning to predict the conversion using real-world data.

Methods: We conducted a retrospective cohort study using the Taiwan National Health Insurance Research Database (2000-2013) to identify adults diagnosed with BD-II. A predictive model for BD-I conversion was developed using extreme gradient boosting (XGBoost), incorporating demographic factors, healthcare utilization, comorbidities, and psychotropic medication use. The dataset was randomly divided into development (80 %) and test (20 %) sets. Model performance …

Catatonia And Elevated Mortality: A Population-Wide Cohort Study With Healthy, Sibling, And Schizophrenia Spectrum Controls, Chih-Wei Hsu, Yang-Chieh Brian Chen, Marco Solmi, Chih-Sung Liang, Mu-Hong Chen, Yao-Hsu Yang, Liang-Jen Wang, Edward Chia-Cheng Lai

Children’s Nutrition Research Center Staff Publications

Aim: To determine whether catatonia is associated with increased long-term all-cause and cause-specific mortality.

Methods: Using Taiwan's National Health Insurance Database (2000-2022), we assembled a population-based cohort of all adults (≥18 years) with catatonia and matched each to four controls without catatonia on sex and birthdate. Mortality was compared between (1) individuals with catatonia and their unaffected siblings and (2) individuals with schizophrenia spectrum disorders with catatonia and those with schizophrenia spectrum disorders without catatonia. The primary outcome was all-cause mortality; secondary outcomes were natural- and unnatural-cause deaths. Adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated with …

The Impacts Of Political Leaders’ Social Capital On Policy Success: The Case Of Local Food Systems, In Hae Noh, Beomgeun Cho, April M. Roggio, Luis F. Luna-Reyes

Research Collection School of Social Sciences

Network approaches to collaborative leadership suggest that local leaders’ success depends on activities that connect their organization to diverse stakeholders and resources. Drawing on the literature on managerial networking and a mixed-methods approach that includes 38 semi-structured interviews and a survey of 185 New York State municipal leaders, we explore the impact of leaders’ networking efforts on food access and security in their communities. We hypothesize that different forms of leaders’ social capital (bridging, bonding, and linking) has an impact on policy success. Our results suggest that only bridging social capital has an impact on food access. We conclude with …

Derivation Of An Updated Brief Multivariable Prediction Model To Detect Panic-Related Anxiety In Emergency Department Patients With Cardiopulmonary Complaints, Sharon C. Sung, Felicia J. L. Ang, Arul Earnest, Leslie E. C. Lim, Shreshtha Jolly, Gilaine Rui Ng, A. John Rush, Marcus E. H. Ong

Research Collection School of Social Sciences

Background Patients with panic related-anxiety (i.e., panic attacks or panic disorder) frequently present to emergency departments (EDs) with cardiopulmonary complaints but are often undiagnosed, which can lead to recurrent visits and prolonged distress. This study aimed to derive a new symptom-based multivariable diagnostic prediction model to detect panic-related anxiety in ED patients with cardiopulmonary symptoms.Methods We conducted a single-blind prospective derivation study over 15 months in the ED of a major tertiary hospital in Singapore. Patients presenting with symptoms of palpitations, chest pain, dizziness, or difficulty breathing were assessed using the Structured Clinical Interview for DSM Disorders (SCID) to diagnose …

Examining The Effects Of Viewing Nature And Animal Smartphone Wallpapers On Affect, Behaviour, And Cognition: A Randomised Cross-Over Trial, Nadyanna M. Majeed, Nicole R. Y. Chen, Adalia Y. H. Goh, Meilan Hu, Kenneth J. J. Koh, Yuolmae H. G. Ang, Andree Hartanto

Research Collection School of Social Sciences

This study aims to investigate the effects of different smartphone lock screen wallpapers on weekly perceived well-being, procrastination, and productivity in young adults. Through a pre-registered within-subject experiment, 60 participants were exposed to three smartphone wallpaper conditions: nature, animal, and neutral (control). Each participant experienced each condition over three weeks, with the order of conditions counterbalanced. Using Frequentist and Bayesian analyses, we did not find any differences between conditions across the pre-registered confirmatory outcomes (i.e., life satisfaction, positive affect, negative affect, stress, productivity, and procrastination). Exploratory outcomes related to lock screen engagement, however, revealed some meaningful effects. Animal-themed smartphone wallpapers …

Less Is More: Docstring Compression In Code Generation, Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Xin Zhou, Ke Liu, David Lo, Taolue Chen

Research Collection School Of Computing and Information Systems

The widespread use of Large Language Models (LLMs) in software engineering has intensified the need for improved model and resource efficiency. In particular, for neural code generation, LLMs are used to translate function/method signature and DocString to executable code. DocStrings, which capture user requirements for the code and are typically used as the prompt for LLMs, often contain redundant information. Recent advancements in prompt compression have shown promising results in Natural Language Processing (NLP), but their applicability to code generation remains uncertain. Our empirical study shows that the state-ofthe-art prompt compression methods achieve only about 10% reduction, as further reductions …

Defending Code Language Models Against Backdoor Attacks With Deceptive Cross-Entropy Loss, Guang Yang, Yu Zhou, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, David Lo, Taolue Chen

Research Collection School Of Computing and Information Systems

Code Language Models (CLMs), particularly those leveraging deep learning, have achieved significant success in code intelligence domain. However, the issue of security, particularly backdoor attacks, is often overlooked in this process. The previous research has focused on designing backdoor attacks for CLMs, but effective defenses have not been adequately addressed. In particular, existing defense methods from natural language processing, when directly applied to CLMs, are not effective enough and lack generality, working well in some models and scenarios but failing in others, thus fall short in consistently mitigating backdoor attacks. To bridge this gap, we first confirm the phenomenon of …

Fcghunter: Towards Evaluating Robustness Of Graph-Based Android Malware Detection, Shiwen Song, Xiaofei Xie, Ruitao Feng, Qi Guo, Sen Chen

Research Collection School Of Computing and Information Systems

Graph-based detection methods leveraging Function Call Graph (FCG) have shown promise for Android malware detection (AMD) due to their semantic insights. However, the deployment of malware detectors in dynamic and hostile environments raises significant concerns about their robustness. While recent approaches evaluate the robustness of FCG-based detectors using adversarial attacks, their effectiveness is constrained by the vast perturbation space, particularly across diverse models and features. To address these challenges, we introduce FCGHunter, a novel robustness testing framework for FCG-based AMD systems. Specifically, FCGHunter employs innovative techniques to enhance exploration and exploitation within this huge search space. Initially, it identifies critical …

Fortifying The Seams Between C/C++ And Rust: Characterizing Bugs In Interop Tools, Xuemeng Cai, Jiakun Liu, Cunyang Liu, Lingfeng Bao, Yijun Yu, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Rust has become increasingly popular in recent years due to its safety and high performance. Despite these advantages, Rust projects rarely start from scratch in practice, and many Rust-based systems instead use hybrid programming, where Rust interoperates with existing C/C++ code. To reduce the manual effort involved in this interoperation (interop) process, several interop tools have been proposed to facilitate hybrid programming between Rust and C/C++. However, the challenges and limitations of these tools remain largely unexplored, leaving developers unclear about the future directions and users unclear about the appropriate usage scenarios. To fill the gap, we mined 320 bugs …

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. With the increasing need in solving large-scale problems in real-world applications, solving those large problems with fewer qubits and fewer gates becomes essential, so that we reduce the simulation difficulty and mitigate the effect of noise in real quantum hardware. In this study, we applied the Light Cone Cancellation (LCC) method to reduce the number of qubits and gates required in a two-local ansatz. LCC …

Evaluating Groundwater-Surface Water Interactions At Selected Streams In The Mississippi River Valley Alluvial Aquifer, Usa, And Comparison To Regional Potentiometric Surfaces, Joshua Michael Blackstock, Oladipo S. Obembe, Aaron Shew, Phillip Hays, Phillip R. Owens, Christopher D. Delhom

Geosciences Faculty Publications and Presentations

Field measurements of groundwater-surface water interactions (GWSW) are critical for quantifying stream leakage, but are often limited in availability. In the Mississippi River Valley alluvial aquifer (MRVAA), USA, GWSW interactions are often inferred through interpolated potentiometric surfaces, which can provide information on GWSW changes through time, but are often limited in spatial resolution. Field measurements of GWSW interactions were conducted at several locations and compared with potentiometric surfaces using objectively calculated cell sizes. The potentiometric surfaces showed similar regional-scale groundwater-flow patterns irrespective of grid cell size. Field measurements of GWSW interactions exhibited a broader range of gaining and losing conditions …

Ethnic Dissimilarity, Ethnic Status, And Organizational Embeddedness: Climate For Inclusion As Double-Edged Sword, Debjani Ghosh, Jorge A. Gonzalez, Daan Van Knippenberg, Richard A. Rodriguez

Management Faculty Publications

Ethnic dissimilarity to coworkers puts individuals’ social embeddedness at work under pressure. We consider this issue from the perspective of a moderating influence of climate for inclusion in the relationship between ethnic dissimilarity and organizational embeddedness. We argue that, whereas it may seem straightforward that climate for inclusion would be associated with a weaker negative influence between ethnic dissimilarity and organizational embeddedness, team climate for inclusion is a double-edged sword. Taking the status associated with ethnic groups into account, we propose that the status equality implied by climate for inclusion has differential effects for members of high ethnic status and …

Essays On Public Policy And Health Outcomes: Unintended Consequences And The Cost Of Influence, Wenhan Yan

Dissertations and Theses Collection (Open Access)

This dissertation investigates the complex behavioral responses to public policy shifts and institutional cues, quantifying their intended and unintended societal impacts. Across two distinct empirical contexts, this research examines how individuals adapt their risk profiles when signals from political or legal authorities change and how these adaptations generate measurable externalities.

The first chapter, "From Punishment to Treatment: Unintended Social Impacts of Changing Drug Policies," shifts the focus to the intersection of health policy and criminal justice. This chapter evaluates the sudden transition from punitive drug enforcement to health-oriented decriminalization, utilizing the 2021 State v. Blake decision in Washington as a …

El Leñador, February 2026, El Leñador Staff

El Leñador Newspaper

El Leñador is an English and Spanish newspaper produced by Humboldt State University students. Our staff cover and provide news to Latinx and other diverse communities on campus and in Humboldt County. We are committed to providing relevant news and expanding the representations and stories told about people of color and other marginalized groups. Our work helps create more social, political and cultural diversity in local media.

El Leñador es un periodico en español y inglés producido por estudiantes de la Universidad Estatal de Humboldt. Nuestro personal cubre y provee noticias a la comunidad Latinx y otras comunidades diversas en …

Youth Development Programs Critical Analysis, Rethinking Real Sustainability Measures. Focus On Middle-Eastern And African Contexts., Rasha As Salem

Theses and Dissertations

Abstract Using a systematic review of 18 research papers, policy documents, and evaluation reports, the study examines youth development programs sustainability through four aspects. First, the review explores how definitions of marginalized youth are applied in Middle East and African contexts. Furthermore, the review focuses on how programmatic suitability is discussed and implemented through the concepts of localization and contextualization. Additionally, the importance of locally grounded evidence as much as rigorous evidence and finally the implementation tactics. The review uses frameworks of ecological systems theory and empowering management approaches to analyze the data. The findings reveal significant variation in how …

The Voices Of Play- Understanding Children’S Perspectives Of Naturalized And Forested Outdoor Play Environments, Kimberly Squires, Kim Barton, Madi Stubbs, Mandy English

IALS Journal

is qualitative participatory study explored young children's perspectives of naturalized and forested outdoor play environments at an early learning laboratory school in Ontario, Canada. Drawing on the Mosaic Approach, photo-elicitation, and the Reggio Emilia concept of the hundred languages of children, researchers invited preschool children to communicate their perspectives through photography, drawing, and discussion. Findings revealed that both naturalized and forested environments supported meaningful connections with nature, although children engaged with each setting in distinct ways. Forested environments encouraged broader and more action-oriented interactions with natural materials, while naturalized environments fostered more diverse and specific connections with environmental features. The …

End Matter

Swiss American Historical Society Review

No abstract provided.

Swiss Settlers On The Nebraska Prairie In The 1880s, Karl Horat

Swiss American Historical Society Review

Hundreds of thousands of emigrants from all over Europe, as well as many Americans, were attracted to the West in the nineteenth century. It was the time of the “Homestead Act,” a law for land settlement signed by President Abraham Lincoln. It had taken force on New Year’s Eve, 1863.

Among the early settlers in the Great Plains of Nebraska in the 1880s were landless Swiss farmers. The presence of two families from the Bernese Oberaargau, Lisette and Ueli Uhlmann-Schütz, along with Annelies and Hans-Ueli Kleeb-Heiniger, was documented on 19th century photographic plates. The black and white pictures illustrate both …

Friends Of The Swiss American Historical Society (Sahs) Switzerland Chapter, Barbara Müller

Swiss American Historical Society Review

The Swiss Chapter of SAHS held their annual general meeting and outing in St. Legier, Canton Vaud at the Pepperdine University campus in the renovated Château d’Hauteville on September 10th, 2025. The château belonged to Pierre-Philippe Canac, who installed Benjamin Franklin’s lightning rods on the château roof when he built it in the 1760s. It then passed through marriage to Daniel Grand, the youngest son of Franklin’s French banker. The installed lightning rods still protect the château today from the storms passing over Lake Geneva. Pepperdine has done a wonderful job in renovating the château and keeping it for generations …

Secondary School Students' Engagement In Learning Activities: Validation Of A Short Scale, Feliciano Henriques Veiga, Zi Yang Wong, Johnmarshall Reeve, Shane Jimerson, Antonio Leite, Joan Perales, Sonia Valente, Isabel Martinez

Research Collection School of Social Sciences

Student engagement is a multidimensional construct strongly associated with learning outcomes and academic success. However, its measurement remains challenging, as existing instruments often conflate engagement in learning activities with engagement in the school community. In addition, brief measures are scarce despite their increasing value, and most available instruments do not incorporate agentic engagement. Assessing student engagement in learning activities is, therefore, crucial for monitoring academic progress, identifying students at risk of dropping out, and predicting academic success. This study aimed to validate the 12-item Secondary School Student Engagement in Learning Activities: Short Scale, adapted from a higher education measure, which …

Anselm Küsters, The Making And Unmaking Of Ordoliberal Language. A Digital Conceptual History Of European Competition Law, Verlag Vittorio Klostermann Frankfurt Am Main 2023, Piotr Oliński

Yearbook of Antitrust and Regulatory Studies

No abstract provided.

Is History Precedent?, Allison Orr Larsen

Faculty Publications

It has been just over three years since the Supreme Court instructed lower courts to evaluate Second Amendment challenges by examining history and tradition. And it is no secret that the courts have struggled. This Article tackles a phenomenon that is born of that struggle. Overwhelmed by the task of evaluating historical claims, lower courts instead are turning to other judges as authorities on history. They are using what I call in this Article “historical precedents”—meaning language about history from an older decision that the subsequent judge then treats as authority, not as part of a legal rule but for …

Does Hla-B27 Status Influence Ixekizumab Efficacy In Axial Spondyloarthritis? Results From The Coast-V, Coast-W, And Coast-X Trials, John D Reveille, Martin Rudwaleit, Proton Rahman, Jose A Maldonado-Cocco, Marina Magrey, Rebecca Bolce, Khai Jing Ng, Theresa Hunter Gibble, Jeffrey Lisse, So Young Park, Andris Kronbergs, Victoria Navarro-Compán

The Brown Foundation: Institute of Molecular Medicine

Introduction: The human leukocyte antigen (HLA)-B27 is associated with axial spondyloarthritis (axSpA) and is a predictor of response to tumor necrosis factor inhibitors. However, limited data are available on HLA-B27 and interleukin-17 inhibitors. We evaluated the influence of HLA-B27 status on ixekizumab response through 52 weeks in patients with axSpA.

Methods: Data were analyzed from three randomized placebo-controlled trials: COAST-V (NCT02696785), COAST-W (NCT02696798), and COAST-X (NCT02757352). Patients fulfilled the Assessment of SpondyloArthritis international Society (ASAS) criteria for radiographic (r)-axSpA or non-radiographic (nr)-axSpA. Patients were randomized to receive 80 mg ixekizumab every 2 weeks, 80 …

Proceedings Of The Second Artificial Intelligence In Primary Immunodeficiency (Aipi) Meeting, Jacques G Rivière, Lisa Bastarache, Luiza C Campos, Gerard Carot-Sans, Aaron Chin, Rumi Chunara, Charlotte Cunningham-Rundles, Lorenzo Erra, Jocelyn Farmer, Nicolas Garcelon, Elena Hsieh, Helen Leavis, Seungwon Lee, Liangying Liu, Maaike Kusters, Brian C Lloyd, Alexandra K Martinson, Rachel Mester, Justin B Moore, Despina Moshous, Jordan S Orange, Nefatia Parrish, Sarah Henrickson Parker, Bogdan Pasaniuc, Xiao P Peng, Martine Pergent, Jordi Piera-Jiménez, Jessica Quinn, Sidharth Ramesh, Kirk Roberts, Peter N Robinson, Guergana Savova, Christopher Scalchunes, Markus G Seidel, Rachel Simoneau, Pere Soler-Palacin, Kathleen E Sullivan, Marielle Van Gijn, Chung-Il Wi, Dawei Zhou, Vanessa Tenembaum, Manish J Butte, Nicholas L Rider

Faculty, Staff and Student Publications

The use of artificial intelligence (AI) in inborn errors of immunity offers transformative potential in diagnostics and disease management but faces multiple challenges that were discussed at the second Artificial Intelligence in Primary Immunodeficiency conference, held in New York City (March 19-22, 2025). The conference addressed 7 themes: predictive diagnostic algorithms, health equity, industry collaboration, advanced computational tools like large language models, patient-led AI initiatives, multiomics integration, and implementation science. Discussions highlighted the growing impact of AI on diagnostics, genomics, and health systems, emphasizing the need for high-quality, diverse datasets and ethical safeguards to ensure equitable application. Participants stressed that …

Scper: A Rigorous Computational Approach To Determine Cellular Subtypes In Tumors Aligned With Cancer Phenotypes From Total Rna Sequencing, Bingrui Li, Xiaobo Zhou, Raghu Kalluri

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) is a powerful technique for understanding cellular diversity, but processing large patient cohorts to identify phenotype-associated cell populations remains challenging. Here, scPER (Estimating cell Proportions using single-cell RNA-seq Reference), a rigorous approach combining adversarial autoencoder and extreme gradient boosting to estimate tumor microenvironment cell compositions and identify phenotype-associated subclusters for bulk RNA-seq samples. Integrating scRNA-seq datasets from diverse studies, scPER constructed comprehensive reference panels and disentangled confounders from true signals. scPER achieved superior accuracy in cellular proportion estimation compared to CIBERSORTx, BayesPrism, Scaden, MuSiC, SCDC, DeSide and ReCIDE. It showed high accuracy in predicting metastatic melanoma …