Research works

Forecasting Duration in High‐Frequency Financial Data Using a Self‐Exciting Flexible Residual Point Process

ABSTRACT This paper presents a method for forecasting limit order book durations using a self‐exciting flexible residual point process. High‐frequency events in modern exchanges exhibit heavy‐tailed interarrival times, posing a significant challenge for accurate prediction. The p...

The Last Evaporation: Planck Remnants as Cosmological Seeds in Empty Spacetime

A black hole spends 10^100 years boiling itself down to the simplest possible remnant – and the process is not merely like information erasure, it is information erasure, running at exactly the thermodynamic minimum: the first law of black hole mechanics prices each shed unit of...

Spatial co-clustering of facility-recorded malaria and sickle cell disease admissions across health facility catchments in Uganda: a Bayesian shared-component disease mapping analysis

Malaria and sickle cell disease (SCD) remain major causes of morbidity and mortality in Uganda, yet their joint spatial organization across routine service geographies has rarely been examined. We assessed whether facility-recorded malaria and SCD admissions shared residual spati...

Beyond Securitisation: A Gendered Peace Studies Approach to Violent Extremism in Kenya

While dominant global policy frameworks and scholarship often understand violent extremism through securitised and state-centric lenses, this article offers a bottom-up reconceptualisation using a peace studies and gendered approach. Drawing on empirical data from Kenya, the stud...

On the effects of bat protection strategies on energy production and structural loads of wind farms

Abstract. As wind energy deployment expands, bat protection curtailment is increasingly required for ecological and regulatory reasons. Operators typically implement static, also called 'blanket', schedules based on environmental thresholds for predefined periods, while dynamic a...

Leveraging synthetic and genetic data to improve epidemic forecasting

Forecasting infectious disease outbreaks is hard. Forecasting emerging infectious diseases with limited historical data is even harder. In this paper, we investigate ways to improve emerging infectious disease forecasting when little pathogen-specific training data are available....

Multi-analytical study of the effects of secondary working and recycling in Roman glass

The impact of secondary processing and recycling on the composition and redox equilibrium in archaeological glass remains difficult to assess. This paper reports the results of a multi-analytical study of glass finds from a Roman villa in southwestern France, revealing varying mi...

In silico evaluation of deleterious nsSNPs in SOD1 and TARDBP genes associated with amyotrophic lateral sclerosis

Abstract Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder involving mutations in the SOD1 and TARDBP genes that significantly influence its development. Nonsynonymous SNPs in these genes can disrupt protein stability, folding, and regulatory functio...

Microscopic view of materials properties of liquids: An atomic scale perspective

Microscopic understanding of liquid properties is essential for advancing a wide range of applications from energy applications such as nuclear reactors and batteries to biomedical applications including drug delivery and microfluidics. However, intrinsic dynamic disorder and lac...

The AWAKEN wind farm benchmark – Part 2: Modeling results

Abstract. Accurately modeling wind farm performance in complex atmospheric flows remains a challenge. This paper presents the modeling results of the American WAKE experimeNt (AWAKEN) wind farm benchmark, a collaborative effort involving 16 research groups from academia and indus...

From six to twelve months: how extending the statutory prognostic threshold affected fast‑tracked end-of-life benefit access in England and Wales

Abstract Background To evaluate the impact of the 2022 change in prognostic eligibility criteria for the Special Rules for End of Life (SREL) pathway, from an expected death within 6 months to within 12 months, on the number and characteristics of awardees for fast-tracked financ...

Research on eco-driving strategy of connected hybrid electric vehicles for traffic influence factors

Abstract ：Eco-driving technology is the core means to improve the energy economy and traffic efficiency of connected hybrid electric vehicles. Existing studies mostly focus on the coupling of speed planning and energy management in car-following scenarios, and there are still de...

Unified taxonomy for multivariate time series anomaly detection using deep learning

The topic of Multivariate Time Series Anomaly Detection (MTSAD) has grown rapidly over the past years, with a steady rise in publications and Deep Learning (DL) models becoming the dominant paradigm. To address the lack of systematization in the field, this study introduces a nov...

Performance of multi-strategy optimized mayfly optimization algorithm for location selection of university reimbursement form submission terminals

Abstract The Mayfly Optimization Algorithm(MOA) suffers from inherent drawbacks, such as susceptibility to local optima and slow convergence speed. In this study, an improved mayfly algorithm integrated with multiple strategies is proposed. Firstly, a Logistic chaotic map is adop...

Causal mediation pathways in continuous postprandial glucose monitoring for type 1 diabetes patients

Abstract Managing postprandial glucose in Type 1 Diabetes Mellitus (T1DM) requires understanding how carbohydrate intake affects glucose through both direct pathways and insulin-mediated compensation. Standard analyses treat insulin as a confounder rather than a mediator, obscuri...

Validation and uncertainties of strong ground motion prediction methods for seismic hazard assessment: a case study of the 2024 Noto Peninsula earthquake (Mw7.5), Japan

Abstract The major active fault earthquakes in Japan in recent years include the 2016 Kumamoto Earthquake and the 2024 Noto Peninsula earthquake. These earthquakes occurred along predicted fault models, however, uncertainties and variations in fault geometry and rupture propagati...

Unfolding the Leech Lattice: Fused Multi-Shell Decoding and VRAM Layouts for 2-Bit LLM Weights

Leech lattice vector quantization gives the best reported quality at 2 bits per weight, but the CUDA kernel published alongside it decodes only one shell of the lattice. The decoder you actually need at that rate covers a union of shells: 301 classes, and a 47-bit index that name...

Applicability Diagnostics in Fundamental Physics: A Functional Necessity Argument and a Fourteen-Case Calibration

Applicability assessment in fundamental physics faces a methodological problem distinct from whether a theory is true, confirmed, or mathematically coherent: what information must be recoverable if the licensing status of an individual physical claim is to be explicit and auditab...

Beyond accuracy: interpretable behavioural profiling of children with ADHD using a visuospatial working memory game

Attention-Deficit/Hyperactivity Disorder (ADHD) is usually diagnosed using rating scales and clinical interviews, which offer limited access to underlying cognitive mechanisms. Existing objective tasks often rely on coarse summary statistics or less interpretable feature spaces,...

Synchronously considering spatial dependence and temporal persistence into a deep learning based method for improving soil moisture spatial resolution

Accurate high-resolution soil moisture (SM) data are essential for understanding land–atmosphere interactions and supporting hydrological applications. However, soil moisture dynamics are inherently shaped by coupled spatial heterogeneity and temporal memory effects, requiring mo...