Research works

Conformal prediction for multi-label learning: a review of methods and guarantees

Multi-label learning (MLL) is a machine learning paradigm that aims to predict a set of labels for each instance, rather than a single class. Such tasks arise in a wide range of real-world applications and pose significant challenges, including an exponentially large output space...

Navigating Subject-Specialization Mismatch: The Lived Experiences of Arabic Education Graduates in Non-Arabic Classrooms

Purpose This study explored the experiences and challenges faced by Arabic Education graduates assigned to teach non-Arabic subjects in Bongao, Tawi-Tawi, Philippines. Specifically, it examined how subject-taught mismatches affect teaching effectiveness and student learning outco...

Microbial Ethane and Propane Production and Ethanogenic Enrichment of Methanogens in Coastal Sediments

Abstract Ethane and propane are short‐chain alkanes that are ubiquitous in marine environments, while the biological formation of ethane and propane remains largely unconstrained in coastal subsurface sediments. Here, we detected nanomolar concentrations of ethane and propane alo...

Uncertainty quantification using conformal prediction for mesh-based simulations

Machine learning surrogates for computational fluid dynamics (CFD) achieve substantial speedups but lack uncertainty quantification (UQ). We develop a post hoc conformal prediction (CP) framework that wraps any trained graph neural network (GNN) surrogate to produce prediction se...

The 2024 cascading glacial lake outburst flood in the Thame Valley of Everest region, Nepal: process, impacts and implications

Abstract. On the afternoon of 16 August 2024, a catastrophic flood devastated Thame Village in the Everest region of Nepal. This event resulted from a cascading glacial lake outburst flood (GLOF), where the outburst of an upstream glacial lake triggered the failure of a downstrea...

Healthcare experiences and expectations of women survivors of domestic violence in Asia: a systemized review of the literature

Domestic violence significantly shapes women's healthcare experiences and expectations in Asian settings; however, evidence remains dispersed across diverse study designs and countries. This review synthesizes empirical findings on how survivors navigate healthcare systems and wh...

Complete genome-derived metabolic interactions reveal the impact of gut ecology on human health

Abstract Metabolic interactions govern gut microbiome assembly, yet functional rules remain obscured by genomic incompleteness and fragmentation. Here, we leverage 1,150 complete genomes to construct genome-scale metabolic models, demonstrating that draft genomes introduce system...

The Role of Advanced Technologies in Corporate Decarbonization: A Problematizing Review and Comparative Research Agenda

Abstract Advanced technologies are widely promoted as tools for decarbonization across sectors such as manufacturing, logistics, and energy. However, evidence of their environmental impact remains mixed, with outcomes varying significantly between settings. This variability highl...

Agrivoltaics can reduce political polarization and local opposition to solar energy on land

Abstract As solar energy deployment on land intensifies, political polarization and local opposition increasingly challenge its social acceptance. We propose that agrivoltaics – a dual land-use technology that combines solar power generation with agricultural production – can hel...

De novo E-cadherin/catenin complex formation controls basal epithelial mechanics and force transmission for apoptotic cell clearance

Abstract Beyond serving as cohesive barriers, epithelia clear apoptotic cells to regulate development, homeostasis and inflammation. How epithelial cells remodel their shape during phagocytosis while preserving tissue integrity, and the role of adhesion receptors in this process,...

Residual distribution predictive systems

Conformal predictive systems are sets of predictive distributions with theoretical out-of-sample calibration guarantees. The calibration guarantees are typically that the set contains a forecast distribution whose prediction intervals exhibit the correct marginal coverage at all...

The cortical microenvironment drives early immune organization and controls early osteoclastogenesis in bone healing

Abstract Bone regeneration is a complex, tightly-regulated process involving coordinated interactions of immune and stromal cells. Early phases of healing rely on the timely clearance of debris, a task primarily carried out by macrophages and osteoclasts. However, the sequence of...

Machine Learning Acceleration of Neutron Star Pulse Profile Modeling

Abstract Ray-tracing algorithms that compute pulse profiles from rotating neutron stars are essential tools for constraining neutron star properties with data from missions such as Neutron star Interior Composition Explorer. However, the high computational cost of these simulatio...

Developmental trajectories of vigilance in childhood and adolescence: Disentangling underlying mechanisms through behavioral modeling.

Sustained attention is crucial for daily functioning, yet research on vigilance development has yielded inconsistent findings. These discrepancies arise partly from the use of tasks with different vigilance demands and from limitations in the indices of sensitivity and response c...

Understanding daily positive emotion regulation: examining associations with momentary emotions and anhedonia

Abstract Disturbances in positive emotion play a unique role in mental health problems, but little is known about how positive emotion regulation (ER) processes unfold in daily life. This study aimed to capture the dynamics of daily positive ER processes by investigating (1) whic...

Dynamic Learning for Joint Pricing, Advertising, and Inventory Management

Problem Definition: Startup firms, often small in size, face the challenge of making cross-functional decisions due to the absence of distinct departments like marketing and operations. These interdependent decisions are further complicated by the lack of historical customer data...

Genomize-SEQ: an NGS data analysis platform for genomic variant classification and prioritization

Abstract Accurate interpretation of diverse genetic variants remains a pivotal challenge in the diagnosis of rare diseases. Although evidence-based guidelines established by the American College of Medical Genetics and Genomics have enhanced the precision of variant assessment, t...

Principal-Agent Hypothesis Testing

Consider the relationship between a regulator (the principal) and an experimenter (the agent) such as a pharmaceutical company. The pharmaceutical company wishes to sell a drug for profit, whereas the regulator wishes to allow only efficacious drugs to be marketed. The efficacy o...

Learning from generic language.

Generic language (e.g., "Birds have hollow bones") conveys generalizations about categories and is a fundamental and ubiquitous mechanism of learning about the world. How exactly this learning occurs, however, is unclear: Generics exhibit so much flexibility in how they are inter...

Recent strengthening of eastern Pacific ENSO in the last millennium paleorecord

The Pacific El Niño–Southern Oscillation (ENSO) generates climate extremes that endanger ecosystems, infrastructure, and human well-being worldwide. The response of this system to climate warming is poorly constrained, due both to data scarcity and uncertainties in climate models...