Digital Commons Network^™

Challenging And Diagnosing Structured Population Models By Testing Predictions From Stochastic Demography, Stephen P. Ellner, Robin E. Snyder, Daniel T. Blumstein, Dylan Z. Childs, Joshua C. Fowler, Christina M. Hernández, Julien G. A. Martin, María Paniw, Yngvild Vindenes

Biological Sciences Faculty Publications

1. Structured population models are parameterized to accurately project expected population sizes, stage/state distributions and population growth rates, but they also predict the variation in outcomes among individuals, such as the variance and skewness of lifetime reproductive output (LRO) and lifespan, the probability of never reproducing, and many other life-history metrics.

2. Testing such predictions about individual outcomes can be very useful model 'stress tests', because they depend on how components of the model (e.g. submodels for survival and fecundity) interact over multiple time steps, not just on the accuracy of the submodels. Because data on among-individual variation is rarely …

Predicting Oil Contamination In Water Using Machine Learning On Microbial Compositions, Tong Gao, Isaac Bigcraft, Stephen Techtmann, Issei Nakamura

Michigan Tech Publications

We present a compact and generative machine-learning framework that predicts oil contamination based on microbial community compositions from experimental samples. Our method combines dimensionality reduction with data augmentation and generative modeling to address high-dimensional, non-linear, and sparse microbial data. To reduce the 503-dimensional bacterial composition dataset, we compared three dimensionality reduction techniques: feature importance from random forest, principal component analysis (PCA), and t-distributed stochastic neighbor embedding (t-SNE). Feature importance outperformed PCA and t-SNE, improving predictive performance and identifying microbial species most strongly correlated with oil contamination. To mitigate data scarcity, we augmented the training data using an augmented data neural …

Cerebellar Motor And Non-Motor Contributions To Dystonia Pathophysiology And Treatment, Linda H Kim, Cheryl Brandenburg, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

Dystonia is a complex neurological disorder characterized by sustained or intermittent abnormal movements and/or postures. However, dystonia's non-motor symptoms, particularly the sleep disturbances, are critical yet underexplored concerns that affect all ages. Here, we synthesize current knowledge on the motor and non-motor domains of dystonia, emphasizing the functional interconnections and plasticity within cerebellar motor, cognitive, and sleep-associated circuits to motivate more comprehensive and effective treatments that improve overall quality of life.

Optimal Control Analysis Of Malaria Transmission In The Presence Of Insecticide Resistance And Climate Variability In Kenya, Lorna Chepkemoi, Titus Okello Orwa, Samuel Mwalili, Rachel Waema Mbogo, Steeven Belvinos Affognon, Daisy Salifu, Henri E.Z. Tonnang

All Peer-Reviewed Publications

Malaria remains a major public health concern in Kenya, where changing climatic conditions, insecticide resistance, and mosquito behavioral adaptations continue to challenge control efforts. This study develops and analyzes a climate-sensitive malaria transmission model that incorporates mosquito behavior, insecticide resistance, and vector–human ecological dynamics to identify optimal control strategies for the Kenyan context. The model’s well-posedness was established, the basic reproduction number (R0) computed using the next-generation matrix method, and the stability of equilibrium points assessed. Spatial analysis of R0 was performed using temperature and rainfall raster data to map transmission risk across Kenya under varying insecticide use scenarios. Results …

Behavioral And Electrophysiological Responses Of Fall Armyworm Larval Parasitoid Coccygidium Luteum To Maize And Companion Plant Volatiles, Emmanuel Peter, Sevgan Subramanian, Abdullahi Yusuf, Samira A. Mohamed, Baldwyn Torto, Emily A. Martin, Amanuel Tamiru

All Peer-Reviewed Publications

Companion cropping and biological control are among the best agronomic practices recommended for ecologically sustainable management of the invasive fall armyworm (FAW), Spodoptera frugiperda J.E. Smith (Lepidoptera: Noctuidae). Companion plants may suppress the FAW population by repelling the pest, disrupting host-plant location and recruiting biocontrol agents such as parasitoids. These interactions are primarily mediated by plant-derived volatile organic compounds (VOCs). Understanding parasitoids’ responses to VOCs emitted by companion plants enables selection of suitable cultivars to enhance biological control and design appropriate intercropping systems for effective FAW management. This study investigated behavioral and electrophysiological responses of a key FAW larval parasitoid, …

Taxonomy, Distribution And Ecology, Biology, Nutritional Composition, And Conservation Status Of Critically Endangered Lake Chala Tilapia Oreochromis Hunteri (Günther, 1889): Implications For Aquaculture Development, Jonathan Munguti, Mavindu Muthoka, Domitila Kyule, Esther Magondu, Jacob O. Iteba, Kevin Obiero, Paul Orina, Menaga Meenakshisundaram, Tanga M. Chrysantus

All Peer-Reviewed Publications

Oreochromis hunteri Günther, 1889, commonly known as Lake Chala tilapia, is an endemic cichlid restricted to the small crater lake, Lake Chala, on the border of Kenya and Tanzania. This review synthesizes existing knowledge on the taxonomy, and phylogenetic placement, distribution and ecology, and biology including nutritional composition, and conservation status of O. hunteri and identifies knowledge gaps to assess its potential for aquaculture development. The knowledge gaps include its reproductive biology, population structure, and adaptive capacity to environmental and climatic variability. As the type species of the genus Oreochromis, O. hunteri is a unique, genetically isolated lineage within a …

Insect Farming Innovations: A Pathway To Self-Reliance In Agrifood Systems In Africa, Zewdu Abro, Menale Kassie, Dennis Beesigamukama, Shaphan Yong Chia, Ermias Engida Legesse, Subramanian Sevgan, Julius Ecuru, Chrysantus M. Tanga

All Peer-Reviewed Publications

Insect farming as an innovative approach to transforming agrifood systems

Insect farming has emerged as a transformative and sustainable approach to addressing the interconnected challenges of food insecurity, environmental degradation, and economic vulnerability in Africa’s agrifood systems. By converting organic waste into high-value products (protein-rich feed, frass fertilizers, and bioactive compounds), insect farming offers an efficient circular economy solution that bridges nutrition, livelihoods, and ecological resilience (Lalander et al. 2025; Mei et al. 2024; Barragán-Fonseca et al. 2022; Xia et al. 2021; Van Huis 2020; Barragán-Fonseca et al. 2017; Van Huis and Oonincx 2017; Yi et al. 2014). Almost all …

Pathways, Outputs And Impact Of Nih-Supported Bioinformatics And Genomics Graduate Trainees In Africa, Daudi Jjingo, Andrew Walakira, Suhaila Hashim, Cisse Cheickna, Ronald Galiwango, Caleb Kibet, Florence N. Kivunike, Gerald Mboowa, Fredrick Elishama Kakembo, Babajide Ayodele, Jean Baka Domelevo Entfellner, Santie De Villiers, Karen Wambui, Segun Fatumo, Tinashe Chikowore, John Mukisa, Alfred Ssekagiri, Nicholas Bbosa, Julius Mulindwa, Samuel Kyobe, Mike Nsubuga, Grace Kebirungi, Eric Katagirya, Savannah Mwesigwa, Ibra Lujumba, Rogers Kamulegeya, Samuel Kirimunda, Stephen Kanyerezi, Shahiid Kiyaga, Ivan Sserwadda, Davis Kiberu, Daniel Masiga

All Peer-Reviewed Publications

Global biomedical and health research is increasingly relying on genomic and computational approaches, largely driven by the increasing volumes of nucleic acid sequencing. Concurrently, epidemiological studies and clinical records are generating enormous amounts of data amenable to disease modeling, machine learning, and artificial intelligence techniques. Bioinformatics and data science expertise is therefore essential for improved population health. Accordingly, in 2012, the US National Institutes of Health (NIH) in partnership with the Wellcome Trust, and with support from the African Society for Human Genetics, initiated the H3Africa (Human Heredity and Health in Africa) consortium. One of its key goals was to …

Ecological Intensification Of Maize-Kale Systems In Kenya By Biofertilization And Push-Pull Management Shifts Nematode Communities, Agnes Kiriga, Johnnie Van Den Berg, Frank Chidawanyika, Solveig Haukeland, Bianca Greyvenstein, Dennis Beesigamukama, Chrysantus M. Tanga, Sevgan Subramanian, Daniel M. Mutyambai

All Peer-Reviewed Publications

Plant-parasitic nematodes (PPNs) pose a persistent threat to vegetable production in Kenya, contributing to reduced yields and soil degradation. The management of PPNs in vegetables in Kenya has largely remained unaddressed. The integration of ecological intensification strategies such as the vegetable integrated push-pull (VIPP) system and the use of black soldier fly frass fertilizer (BSFF) is gaining traction in sustainable agriculture. The aim of this study was to determine the effects of integrating VIPP and BSFF on nematode abundance and diversity in maize-kale cropping systems. Field trials were conducted in two different agroecological zones in Kenya. Field treatments involved plots …

The Association Between Social Vulnerability And Racial Disparities In Preterm Birth, Anita Pershad, Gabby Adams, Lindsay Robbins, George Saade, Tetsuya Kawakita

Department of Obstetrics & Gynecology Faculty Publications

Objective

To evaluate the association between county-level social vulnerability and preterm birth and assess whether racial disparities vary across levels of vulnerability.

Methods

This cross-sectional study utilized restricted Centers for Disease Control and Prevention natality data from 2023. We included Black or White births with singleton pregnancies across 3123 US counties from 50 US states and the District of Columbia. Participants were grouped into quartiles based on the county-level Social Vulnerability Index (SVI), with quartile 4 representing the most socially vulnerable populations. The primary outcome was preterm birth, defined as delivery before 37 weeks. Secondary outcomes included small for gestational …

Brief Therapy Dog Interactions May Increase Self-Efficacy And Lower Perceived Stress And Cortisol In High School Students: A Preliminary Study, Dawn Melzer, Deirdre Yeater, Madison Derubis, Christiana Rose Kohlroser, Barbara J. Pierce

Psychology Faculty Publications

The present study examined changes in high schoolers’ perceived stress, general self-efficacy and cortisol levels after a brief interaction with a certified therapy dog. High school students completed self-report measures of perceived stress and general self-efficacy and provided salivary cortisol samples both before and after a 10-min interaction with a certified therapy dog. Following the interaction, students reported reductions in perceived stress scores, exhibited lower salivary cortisol concentrations and demonstrated increases in self-efficacy scores compared to before the interaction. Although higher self-efficacy scores were observed, general self-efficacy is generally regarded as a stable construct; therefore, these findings may reflect a …

Llamoco: Instruction Tuning Of Large Language Models For Optimization Code Generation, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Jiacheng Chen, Yining Ma, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Recently, combining the strength of large language models (LLMs) and Evolutionary Computation (EC) has shown promising results for addressing optimization problems. It typically involves either iterative next-step solution seeking or directly prompting LLMs to generate critical optimization codes. However, these methods often suffer from low computational efficiency, high sensitivity to prompt design, and a lack of domain-specific knowledge. We introduce LLaMoCo, the first instruction-tuning framework designed to adapt LLMs for solving optimization problems in a code-to-code manner. LLaMoCo features a comprehensive instruction set that includes code-style problem descriptions as input prompts and robust optimization codes from expert EC optimizers as …

Graduate Student Retention: Examining Why Master’S Students Leave And What Motivates Their Return In A Large Public University System, Sonja Prophete

Theses and Dissertations

Graduate student persistence is a relatively unexplored area in the literature of higher education studies; specifically, at a multi-institutional scale at the master's level. This research study examines the factors which cause students to discontinue their master's degrees, and what conditions could possibly support them returning to their program at a large urban public university system. The current study was guided by Hoyt and Winn's (2004) distinction between non-returning students, and Bean & Metzner's (1985) theoretical model of student attrition. A sequential mixed-methods study was conducted to examine the institutional and environmental influences on students' decision-making processes.

The quantitative data …

The Gendered Path Of Least Resistance: First Entry And Exit Behaviors Of Public And Nonprofit Employees, Tiana Marrese, Ying Liu, Femida Handy

Political Science Faculty Publications

Public and nonprofit organizations exhibit high rates of female employment often attributed to sector structures and social roles. To better understand how individual behaviors dynamically contribute to these distinctive ratios, we deconstruct public and nonprofit employment into gendered patterns of attraction and attachment. Using duration analysis and following a cohort from the National Longitudinal Survey of Youth 1997, this research finds that women demonstrate a higher attraction to their first public and nonprofit job compared to men, evidenced through a faster rate of entry into this employment. There are no significant gender differences when considering the duration of an individual's …

All-Inside Arthroscopic Technique For Repairing Radial Meniscus Tears At The Anterior Horn-Body Junction, Brandon Omari Boyd, Robert M. Walker, Harrison A. Volaski, Ferdinand J. Chan

Department of Medicine Faculty Publications

Radial meniscus tears are a common tear pattern that, if left untreated, can ultimately lead to accelerated degenerative changes and disability. There is well-established evidence that supports meniscal preservation in patients with radial meniscus tears. Various surgical techniques are used to repair radial tears, including inside-out, outside-in, and all-inside methods. Self-retrieving all-inside devices are a safe option when repairing radial tears. However, radial tears at the junction of the anterior horn and body present a unique surgical challenge, as surgeons may have difficulty maneuvering the jaws of the self-retrieving suture device around the anterior limb of the meniscal tear. We …

Recent Technological Advances In Monitoring And Neuromodulation Of Non-Malignant And Neurogenic Bladder Conditions, Chang Liu, Yifan Wang, Mario Romero-Ortega, Argyrios Stampas, Yingchun Zhang, Philippe Zimmern, Zhengwei Li

Faculty, Staff and Student Publications

Neurogenic bladder and lower urinary tract (LUT) dysfunctions encompass a wide variety of urinary disorders resulting from nervous system impairments. Unfortunately, conventional treatments are still limited and can have significant complication rates, especially when stent implantations or other surgical procedures are involved. Therefore, there is a critical need to develop novel therapeutic strategies and pharmacological approaches to address these challenging urological conditions. Recent technological advances offer promising solutions to overcome some of these challenges faced by patients with bladder and LUT dysfunction. This review summarizes recent progress in advanced urotechnologies, focusing on bladder monitoring and neuromodulation approaches, advanced medical instruments …

Environmental Load In Technology-Rich Classrooms: A Practitioner Reflection On Student Attention, Cognitive Fatigue, And Instructional Design, Christopher Morales

Essays in Education

This practitioner essay examines student disengagement in technology-rich classrooms through the lens of cognitive load and environmental demand. Rather than interpreting all off-task behavior as laziness, avoidance, or lack of motivation, the essay argues that some students may be responding to cumulative overload created by screens, transitions, digital platforms, visual clutter, noise, lighting, and fragmented instructional routines. Drawing from classroom observation and cognitive load theory, the essay introduces environmental load as a practical concept for educators seeking to preserve student attention without lowering academic expectations. The essay offers reflective questions and instructional adjustments that can help teachers and school leaders …

No Groundwater, No Fish: The Critical Role Of Groundwater In Supporting Non-Glacial, Salmon-Bearing Rivers In South-Central Alaska, Tyelyn Brigino, Kai Rains, Edgar Guerron-Orejuela, Jacob Argueta, Syverine Bentz, Coowe Walker, Mark Rains

School of Geosciences Faculty and Staff Publications

Groundwater discharge plays an important role in the hydrologic and ecologic functioning of rivers including sustaining streamflow and related habitat year-round. Simultaneously, groundwater supports the increasing demands of people as the global population continues to grow. Balancing the needs of users becomes increasingly important as climate change introduces greater uncertainty in water resources and fisheries, especially for economically important anadromous species that depend on freshwater resources. We investigated the seasonal and regional variability of groundwater contributions to six non-glacial mainstem salmon-bearing rivers in south-central Alaska. We hypothesized that groundwater contributes more than half of the annual streamflow, and nearly all …

Integrative Multi-Omics Profiling Identifies Infiltrative Hepatocellular Carcinoma As An Immunotherapy-Resistant Subtype With Distinct Molecular Features, Won Suk Lee, Seonjeong Woo, Sung Hwan Lee, Gae Hoon Jo, Ilhwan Kim, Hyeyeong Kim, Chansik An, Sanghoon Jung, Gwangil Kim, Haeyoun Kang, Beodeul Kang, Jung Sun Kim, Ho Yeong Lim, Incheon Kang, Hannah Yang, So Jung Kong, Dahyeon Son, Dong Jun Shin, Woo Young Kwon, Da-Yeon Lee, Ju-Seog Lee, Junho Park, Youngsoo Kim, Sohyun Hwang, Chan Kim, Hong Jae Chon

Faculty, Staff and Student Publications

Background/aims: Hepatocellular carcinoma (HCC) exhibits substantial morphological and biological heterogeneity. Clinical and molecular relevance of the infiltrative subtype remains poorly defined in the context of cancer immunotherapy. We aimed to evaluate the prognostic impact and molecular features of infiltrative HCC in patients treated with first-line atezolizumab plus bevacizumab (Ate/Bev).

Methods: We included 307 patients with advanced HCC treated with Ate/Bev and classified them into four gross morphological types based on imaging. Multi-omics profiling was conducted on tumor samples. Type IV infiltrative signature was derived and externally validated using five independent HCC cohorts, including IMbrave150.

Results: Infiltrative morphology, encompassing pure and …

Engineering Mutation Clones In Mammalian Cells With Crispr/Cas9, Zijun Huo, Jian Tu, Rachel Shoemaker, Dung-Fang Lee, Ruiying Zhao

Faculty, Staff and Student Publications

CRISPR, Clustered Regularly Interspaced Short Palindromic Repeat, as a powerful genome engineering system, has been widely accepted and employed in gene editing of a vast range of cell types. Compared to zinc finger nucleases (ZFNs) or transcription activator-like effector nucleases (TALENs), CRISPR shows a less complicated process and higher efficiency. With the development of different CRISPR systems, it can be used not only to knock out a gene but also to make precise modifications, activate or repress target genes with epigenetic modifications, and even for genome wide screening. Here we will describe the procedure of generating a stable cell line …

Poly(A) Probe Hcr Rna-Fish Specifically Marks Pyriform Nurse Cells In The Brown Anole Lizard Ovary, Zoe B Griffin, Bonnie K Kircher, Richard R Behringer

Faculty, Staff and Student Publications

Hybridization chain reaction RNA-fluorescent in situ hybridization (HCR RNA-FISH) is a powerful and increasingly used method for visualizing gene expression in cells and tissues. A probe set against polyadenylated RNA (poly(A)) is often used as a positive control for RNA integrity and staining quality. While optimizing this technique in the ovary of the brown anole lizard (Anolis sagrei), we found that the poly(A) probe produced a strikingly specific and intense signal in pyriform cells, a specialized lizard-specific nurse cell type. This staining pattern was found in both whole-mount samples and paraffin sections, suggesting that poly(A) signal intensity can serve as …

Nemolizumab As An Alternative Therapeutic Option For Indolent Systemic Mastocytosis, Sezim Minbaeva, Stephen K Tyring

Faculty, Staff and Student Publications

Indolent systemic mastocytosis (ISM) is a clonal mast cell disorder characterized by recurrent symptoms that can persist despite treatment with antihistamines, leukotriene antagonists, and mast cell stabilizers. Treatment options are limited when symptoms remain refractory, and avapritinib is contraindicated or declined. We describe the case of a 62-year-old female with an 11-year history of ISM who developed worsening pruritus and urticaria despite extensive conservative and biologic therapies, including topical corticosteroids, hydroxyzine, montelukast, omalizumab, and dupilumab. Given her history of stroke, she declined avapritinib. Nemolizumab was initiated with a 60 mg loading dose followed by 30 mg every four weeks. After …

Prescribed Fire Liability And Administration In Western States: An Empiricalanalysis And Call For Reform, Stephen R. Miller, Anastasia Telesetsky

Utah Law Review

Wildfires have grown exponentially over the last few years due to fuel loads, range- and timber-management policies, and climate change. The cost of fire suppression is also growing in both rural and urban areas. For instance, the 2016 Pioneer Fire in rural Idaho cost around $100 million to fight, while the 2025 urban conflagrations in Los Angeles, California destroyed over 16,000 structures despite an astonishing array of suppression resources deployed. Something new, and something big, in terms of law and policy interventions, is needed to stem the intensity of wildfires. Increasingly, governments, private citizens, and even corporate interests like insurance …

The Idea Of Air, Jonathan Skinner-Thompson

Utah Law Review

How we view air, especially clean air, has meaningful normative and practical implications. Today, it is commonly recognized as an exhaustible natural resource. But air was not always thought of as something to be conserved, developed, and used. This Article is the first to explore and interrogate that view. The shift to seeing air as a resource started in the first part of the twentieth century. Previously, air was characterized by its limitless supply of oxygen: a pure public good. Over time, the quality of that good changed, and a precious resource emerged. That resource—especially its chemical and physical characteristics—inspired …

Protecting Wild Animal Abundance, Natalie Jacewicz

Utah Law Review

Americans today encounter billions fewer wild animals than their grandparents did. These ongoing losses affect an enormous array of interests, including billions of dollars in costs to agriculture, tourism, and land management, as well as lost wildlife encounters. Dramatic declines in wild animal abundance reveal a blind spot in American law: In general, environmental law does not aim to protect the “supply” of wild animals we think of as common. Because scientists have only recently begun to appreciate the scale of common animal loss, the phenomenon has received comparatively little attention from legal scholars. This Article sets forth the problem …

The Pharmaceutical Impact Of Some Plant Species On Mantle Cell Lymphoma (Mcl), Marwa Jbara

School of Biomedical Sciences Theses

Mantle cell lymphoma (MCL) is considered clinically aggressive and an incurable subtype of B-cell non-Hodgkin lymphoma (NHL) with poor prognosis and resistance to conventional therapies. This has prompted increasing interest in novel therapeutic approaches, particularly those derived from natural sources with multi-targeted mechanisms of action and low systemic toxicity. In recent years, plant-derived essential oils and their bioactive compounds have emerged as promising therapeutic agents for MCL due to their bioactive properties and low systemic toxicity. Therefore, the purpose of this study was to investigate the growth inhibitory effect of essential oils from basil, tea tree, turmeric and black pepper …

Dari Ottawa Hingga Jenewa: Refleksi Perjalanan Promosi Kesehatan, Dien Anshari

Perilaku dan Promosi Kesehatan : Indonesian Journal of Health Promotion and Behavior

No abstract provided.

Memoryart: Enhancing Llms Via Multi-Memory Models With Adaptive Resonance Theory For Healthcare Agents, Renke Dai, Hebin Hu, Jiahui Zhang, Yilin Kang, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Though promising in healthcare consultation applications, large language models (LLMs) face critical limitations in retaining and utilizing long-term memory across multiturn interactions. In particular, existing memory enhancing paradigms are constrained by limited context windows and embedding-based retrieval, often failing to maintain task relevance and still suffering from memory prototype collapse in multi-turn healthcare consultation. To address these challenges, we propose a cognitively-inspired memory framework named MemoryART, which is grounded in Adaptive Resonance Theory (ART)—a cognitive and learning theory of how humans and animals adapt to dynamic environments. MemoryART employs three memory modules—working memory, episodic memory, and semantic memory to support …

Childlessness And Health In Middle Age And Older Adulthood: Evidence From Singapore, Christine Ho, Dahye Kim, Rohan Ray, Bussarawan Teerawichitchainan

Research Collection School Of Economics

Health and well-being in mature adulthood are important concerns given the prevalence of individuals aging without children. We exploit two new instruments for childlessness— infertility and the number of childless siblings—and condition our analyses on a rich set of covariates including childhood health and financial status, to investigate the causal relationship between childlessness and health in middle age and older adulthood. Using a nationwide dataset of 1,500 Singaporeans aged 50 and above, we show that OLS underestimates the negativeeffects of childlessness on health. We find that childlessness leads to higher likelihood of poorer self-reported health and mental distress. The results …

Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark For Llms, Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

Research Collection School Of Computing and Information Systems

Reasoning is the fundamental capability of large language models (LLMs). Due to the rapid progress of LLMs, there are two main issues of current benchmarks: i) these benchmarks can be crushed in a short time (less than 1 year), and ii) these benchmarks may be easily hacked. To handle these issues, we propose the ever-scalingness for building the benchmarks which are scaling over complexity against crushing, instance against hacking and exploitation, oversight for easy verification, and coverage for real-world relevance. This paper presents Nondeterministic Polynomial-time Problem Challenge (NPPC), an ever-scaling reasoning benchmark for LLMs. Specifically, the NPPC has three main …