Research works

An interpretable learning framework for exploring superelastic degradation of NiTi shape memory alloys using multimodal data

Abstract Superelastic degradation (SED), a progressive loss of functionality in NiTi shape memory alloys under cyclic loading, remains challenging to characterize precisely, thereby constraining their engineering applications and broader adoption. In this study, an interpretable...

A Survey on the Use of Machine Learning within Computer Algebra

This survey explores the use of Machine Learning (ML) in the field of Computer Algebra (CA), both to optimise existing CA algorithms, and to perform symbolic computation directly. Traditional symbolic methods, while mathematically rigorous, often are computationally expensive thu...

Effort-Reward Imbalance, related risk factors and the association with depression and suicidal ideation in German dentists- BMC Psychology

Abstract Background Dentistry involves substantial physical, psychological, and organizational demands. Increasing administrative tasks and structural changes in dental health care may exacerbate imbalances between professional effort and rewards. According to the Effort-Reward I...

Photobiomodulation therapy and polyethylene glycol as monotherapy versus combination treatment in male and female rats following spinal cord injury

Abstract Purpose Spinal cord injury (SCI) is a neurological disorder that causes motor and sensory dysfunction. Recent studies suggest that combination therapies are promising, as they target multiple mechanisms. Photobiomodulation therapy (PBMT) has been shown to reduce inflamma...

Baseline statin therapy and short-term mortality in acute pulmonary embolism: a multicenter cohort study

Abstract Background Statins exert anti-inflammatory and antithrombotic effects and have been associated with a reduced incidence of venous thromboembolism. Their impact on outcomes following acute pulmonary embolism (PE), however, remains uncertain. Objective To evaluate the asso...

Artificial intelligence tools in sepsis prediction: a systematic review and meta-analysis

Abstract Background Machine learning (ML) models have been used to improve diagnosis of sepsis, but their effectiveness is uncertain. We aimed to systematically evaluate the diagnostic accuracy of ML models for sepsis prediction through a systematic review and network meta-analys...

Analysis of Power Iteration Algorithm With Partially Observed Matrix‐Vector Products

ABSTRACT We consider the problem of computing the dominant eigenvector of a symmetric matrix via the power iteration algorithm subject to constraints in the computation of matrix‐vector products. In particular, we focus on scenarios where the entries of matrix‐vector products wit...

Physicochemical characterization and in vitro biological evaluation of TPGS-stabilized cationic nanoliposomes for 8-bromo-6-chloroflavone delivery

Abstract Flavonoids with halogen substituents represent a promising group of bioactive compounds, but their poor aqueous solubility and limited bioavailability restrict their therapeutic application. This study aimed to develop and evaluate a SPC/cholesterol/TPGS/DOTAP-modified c...

L2 English teachers’ conceptualization of academic language – where does it come from and how does it relate to teaching practices?

Explicit instruction in characteristics of academic language can be helpful for students in preparing for reading academic texts in English as a second language (L2) and familiarity with academic language is an explicitly stated goal in the curriculum for English in the study pre...

Founding the Pain Medicine Academy of Advanced Practice Providers

Globally and across the United States there is a demand for pain management services, however specialty trained clinician shortages continue to rise. Advanced practice providers have demonstrated clinical excellence in providing pain management. Pain medicine professional organiz...

Tumor Mutational Landscape and Its Correlation With Histopathological Characteristics in Breast Cancer

Abstract Background/Aim: In breast cancer, knowledge of the associations between clinicopathologic characteristics, genetic changes, and subtype-specific patterns is expanding. This study investigated how pathological and clinical variables affect the actionability of Next Genera...

Arbor-Vitae: A Code-Understanding System Combining Static Graph Analysis with Hybrid Lexical-Semantic Retrieval

We present Arbor-Vitae, a code-understanding system that integrates a deterministic static-graph analyzer with a hybrid lexical-semantic retrieval pipeline. Arbor indexes codebases across six languages (Rust, TypeScript, JavaScript, Java, Python, Go) using tree-sitter parsers, bu...

A Stochastic Model for Fog Forecasting

Abstract Despite significant advancements in parameterizations of boundary layer processes, forecasting, and nowcasting low‐level clouds using numerical models remain challenging. The purpose of this study is to test a prototype of a high‐resolution stochastic‐deterministic model...

Resonance transformations for the $$(2,2p+1)$$ minimal string via $$x-y$$ swap: a proof of Artemev’s conjecture

Abstract This paper contains a proof of a recent conjecture of Artemev that connected the resonance transformations for the $$(2,2p+1)$$ ( 2 , 2 p + 1 ) minimal string to the $$x-y$$ x - y swap in the theory of topological recursion.

Caring and complexity: social work with (unpaid) carers of older people

Around 8 per cent of the UK population provides unpaid care to a friend or relative. This article presents findings from a study that examined the skilled and often under-recognised work of social workers supporting older people and carers in England. Conducted across two demogra...

CDK8 phosphorylation of DELLA limits Mediator recruitment in gibberellin signaling

Gibberellin (GA) promotes plant growth primarily by triggering degradation of DELLA transcription regulators, yet how DELLA activity is fine-tuned dynamically by phosphorylation independently of proteolysis remains poorly understood. Here, we show that the CDK8 kinase module of t...

Explicit depth representation improves the 3D modelling of soil carbon to nitrogen ratio in croplands

The soil carbon-to-nitrogen ratio (C:N ratio) is a fundamental indicator of organic matter quality and nutrient cycling, yet its three-dimensional (3D) variability in croplands remains poorly understood. Accurate mapping of the C:N ratio is essential for evaluating sustainable ag...

Elevated pro-BNP and low-grade inflammation are associated with low bone mineral density in systemic sclerosis, a case control study

Abstract Background Bone mineral density (BMD) is compromised in patients with systemic sclerosis (SSc) compared to the background population, yet the underlying disease related factors are less known. This study evaluates SSc disease-related features and predictability for BMD a...

Systematic Error in Approximate Models of the GRB Early Afterglow

Abstract Gamma-ray burst (GRB) afterglows are thought to arise when relativistic ejecta launched by a compact central engine drive a blast wave into the surrounding circumburst medium, producing broadband synchrotron emission. We present a rigorous assessment, based on high-resol...

JANUS: A Spatial Residue Number System Photonic AI Architecture with Non-Volatile Phase-Change Routing

Conventional optical AI processors encode numbers in continuous analog amplitudes (Mach-Zehnder Interferometers / MZIs), accumulating optical power across analog meshes. For a 128x128 matrix multiplication, unreduced analog accumulation requires an unattainable 138.4 dB analog SN...