Research works

Why Poverty in the Present Matters for Intergenerational Concern and the Future of Humanity

Contrary to perceived tensions between addressing present and future societal needs, we find present-day poverty and inequality are deeply connected with attitudes toward far-future welfare at both societal and individual levels. Study 1 (144 countries) shows that poorer, more un...

Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning

Abstract End-to-end deep neural networks have achieved remarkable success across various domains but are often criticized for their lack of interpretability. While post hoc explanation methods attempt to address this issue, they often fail to accurately represent these black-box...

Prognostic model for patients with oral cavity cancer using a novel multi-parameter index including radiation response of patient-derived tumoroids

Objective: No reliable model has been established to accurately predict the prognosis of patients with oral cavity cancer (OCC) following surgery and adjuvant radiation therapy. This study aimed to develop a tumoroid-based novel prognostic model for OCC to overcome the limitation...

Congestion Propagation Identification and Prediction Using Self Attention–Based Diffusion Convolutional Approach

Abstract Traffic congestion frequently propagates among the interconnected road networks over time, driven by spatial and temporal factors. Identifying and predicting these patterns is crucial for effective public transport management and urban planning. Existing systems often fa...

Enhanced prediction of molecular properties using transfer learning on sigma profiles

Abstract The performance of machine learning techniques for the prediction of a wide range of molecular properties has seen rapid improvements in recent years due to developments in both molecular representations and deep learning modeling techniques. Sigma profiles, which are co...

Bonded Water Is an Integral Component of Dissolved Organic Matter in the Ocean

Abstract Dissolved organic matter (DOM) in the ocean, as one of the largest pools of reduced carbon on Earth, plays an important role in the global carbon cycle, yet its chemical structure remains largely unknown. Here we show that high molecular weight DOM (HMW‐DOM) contains app...

MRIo3DS-Net: a mutually reinforcing images to 3D surface RNN-like framework for model-adaptation indoor 3D reconstruction

Currently, deep neural networks (DNNs) have made some progresses in local region feature extraction, image matching under difficult conditions and point cloud surface optimization in photogrammetry and computer vision. However, there have been being no reports on an end-to-end hi...

Acute viral infection accelerates neurodegeneration in a mouse model of ALS

Summary While several viral infections have been associated with amyotrophic lateral sclerosis (ALS), the mechanism(s) through which they promote disease has remained almost entirely elusive. This study investigated the impact of common, acute viral infections prior to disease on...

MORDUKHOVICH DERIVATIVES OF THE NORMALIZED DUALITY MAPPING IN BANACH SPACES

In this paper, we investigate some properties of the Fr´echet coderivative (Mordukhovich coderivatives) of the normalized duality mapping in Banach spaces. For the underlying spaces, we consider three cases: uniformly convex and uniformly smooth Banach space lp; general Banach sp...

Asbestos mineral fibre exposure significantly affects volatile organic compound profiles of mesothelial cell lines in vitro

Abstract Malignant mesothelioma (MM) is a rare cancer caused by exposure to asbestos, this condition continues to represent a significant diagnostic and therapeutic challenge. Due to the long disease latency, non-invasive diagnostic modalities such as breath analysis may enhance...

Modeling and Design Optimization of Looped Water Distribution Networks using MS Excel: Developing the Open-Source X-WHAT Model

Abstract Cost-effective water distribution network (WDN) design is crucial for reliable urban water supply. This paper introduces the open-source Excel for Water system Hydraulic Analysis Tool (X-WHAT) for WDN simulation and preliminary design. Unlike traditional spreadsheet appr...

p-adically convergent loci in varieties arising from periodic continued fractions

Abstract Inspired by the existence of multiple alternative definitions of continued fraction expansions for elements in $$\mathbb {Q}_p$$ Q p , we study the p -adic convergence of periodic continued fractions with partial quotients in $$\mathbb {Z}[1/p]$$ Z [ 1 / p ] from a geome...

On a Hidden Supersymmetry of Cosmological Billiards

In the Belinski-Khalatnikov-Lifshitz cosmological models with an oscillatory approximation to singularity, the tracks of cosmological billiards (whatever they are) are realized in the Weyl chambers of the hyperbolic Lie algebras. The latter were classified by Li Wang Lai; their s...

Bellman Search in Arbitrary Finite Dimension: A Self-Similar Cell Theorem and Effective Computability of Planar Shoreline Search

A shoreline-search path starts at the origin and must meet an unknown affine line, without knowing either its normal or its distance. We first establish a self-similar reduction theorem for homogeneous search problems whose historical information is a record profile updated by po...

When Can a Computation Forget? Semantic Lifetime Width and Query-Relative State Retirement

Algorithms are usually analyzed by how much state they store, how wide their dependency graph is, or how many subproblems they retain. These measures are largely query independent: they describe the computation that exists, not the distinctions that still matter to the answer bei...

Beyond Complete Compilation: Task-Semantic Images and the Complexity of Computing Only What a Query Can See

Knowledge compilation transforms Boolean theories into reusable representations that support many downstream queries, but this generality can preserve distinctions a particular task will never observe. We introduce Task-Semantic Images (TSIs), the exact images of model sets under...

Instruction based on adaptive learning technologies

In this chapter, we selectively review empirical evidence for adaptivity in learning technologies. We ask, what forms of adaptivity can help students learn better? We define what adaptivity means in the context of instruction, introduce a conceptual framework (the “Adaptivity Gri...

Clustering of Right‐Moving Tornadic Supercell Proximity Sounding Profiles Using an Explainable Framework

Abstract This study demonstrates an explainable machine learning framework for explicitly selecting important environmental features that determine clusters of right‐moving tornadic supercells. Although previous studies have clustered and analyzed proximity sounding profiles asso...

Constructing edge-disjoint Steiner trees in Cartesian product networks

Cartesian product networks are always regarded as a tool for ``combining'' two given networks with established properties to obtain a new one that inherits properties from both. For a graph $F=(V,E)$ and a set $S\subseteq V(F)$ of at least two vertices, \emph{an $S$-Steiner tree}...

Bivalent RSV Prefusion F Vaccine to Prevent Hospitalizations in Adults

BACKGROUND: Respiratory syncytial virus (RSV) is an important cause of severe respiratory disease in adults, with the highest burden among older adults and individuals with chronic health conditions. The bivalent RSV prefusion F (RSVpreF) vaccine has been shown to prevent RSV-ass...