Research works

‘Intelligence’ in function but not in name: analyzing terminology and trends in the job market

Abstract Private sector intelligence uses a vast array of terminology that obscures the boundaries, clear definition and demarcation of the field. This paper presents original empirical research to analyze job responsibilities and terminology. It first examines 2245 job postings...

On the generalized McKean–Vlasov stochastic differential equations driven by time-changed Brownian motion

In this paper, we investigate a class of generalized time-changed McKean–Vlasov stochastic differential equations with two drift terms, one driven by the random change Et and the other driven by nonrandom time t. Firstly, we consider the existence and uniqueness of the solution t...

Prospective phase I study of nivolumab to promote graft‐versus‐tumour in relapsed or refractory haematological malignancy post allogeneic haematopoietic stem cell transplantation

Summary Allogeneic haematopoietic stem cell transplantation (alloHSCT) relies on donor‐derived T cells to mediate the graft‐versus‐tumour (GVT) effect, but relapse may result from impaired immune reconstitution, tumour antigen downregulation or T‐cell exhaustion. This prospective...

Navigating access and participation in grappling sports among adults with visual impairments: a qualitative study

Adults with visual impairment (VI) are typically less active than their sighted peers, partly because many physical activity options are difficult to access and sustain. Grappling sports, which involve near-constant contact and reduce reliance on visual tracking, are often consid...

Hydrogen staging effects on flame stability and emissions in a fuel-flexible combustor

This study investigates the impact of fuel split between Jet-A1 and H 2 in a novel low-swirl combustor designed for low NO x emissions and flashback resistance. The combustor combines airblast atomization for Jet-A1 with H 2 injection in a jet-in-crossflow configuration. Full and...

A Critical Evaluation of Kolmogorov–Arnold Networks for Shear-Wave Slowness Prediction from Well Logs

Kolmogorov–Arnold networks (KANs) are increasingly applied to well-log and reservoir problems, but their evaluation protocols rarely control preprocessing leakage, replicate comparators across seeds, or test depth-shifted generalization. This study evaluates a KAN for predicting...

Occupational determinants of burnout among Chinese anesthesiologists: a multicenter cross-sectional study based on the Job Demands–Resources model

Burnout among healthcare professionals is an important occupational health concern that may negatively affect individual well-being, healthcare workforce sustainability, and quality of care. Anesthesiologists are particularly vulnerable to burnout due to high workload, clinical r...

Development and temporal validation of a predictive model for difficult laparoscopic cholecystectomy

Abstract Background Difficult laparoscopic cholecystectomy (LC) is associated with an increased risk of intraoperative complications. This study aimed to develop and validate a preoperative nomogram for predicting difficult LC. Materials and methods A retrospective study included...

From AI-enabled materials informatics to sustainable innovation in Asian global value chains: the bridging role of inter-organisational collaboration

The twin transition of digitalisation and sustainability requires manufacturers in Asian global value chains (GVCs) to convert internal artificial intelligence (AI) capability into outcomes that depend on cross-boundary coordination. Drawing on the Dynamic Capabilities View and G...

Layer-Oriented Lateral Superior Approach for Robotic Right Hemicolectomy: A Novel Embryology-Based Strategy and Initial Clinical Outcomes

Background: Complete mesocolic excision (CME) with D3 lymphadenectomy is an oncologically established procedure for right-sided colon cancer; however, the optimal dissection plane and surgical approach remain controversial. We developed a novel layer-oriented lateral superior app...

Normandy's Core.

Normandy's Core.

The impact of COVID-19 on all-cause mortality and life expectancy: findings from a population-based cohort in uMkhanyakude district, northern KwaZulu-natal

Abstract Background Despite the comprehensive death reporting system in South Africa, significant gaps persist in our understanding of the pandemic’s impact in rural areas. Methods We computed monthly death counts stratified by demographic factors from a population-based demograp...

What do inflation forecasts reveal after two decades of inflation targeting in Mexico?

Using forecasts extracted from public official documents, we draw the following lessons. First, Banco de México has consistently underpredicted headline inflation since 2007. Second, this pattern extends to forecasts of core inflation, a measure that excludes volatile prices and...

CEBPA-induced trophectoderm-like cells from pluripotent stem cells enable modeling of trophoblast lineage specification

Abstract Trophoblast lineages are essential for placental development and play indispensable roles in mammalian development. However, the regulatory mechanisms governing trophoblast lineage specification, particularly trophectoderm formation, remain elusive. Here, we show that tr...

Parametric Module Using Recycled Fab Lab Materials Through Digital Technologies: A COIL Strategy Toward the Circular Economy

A Fab Lab is a collaborative environment that provides shared material resources, fabrication processes, tools, and knowledge for experimentation and prototype development. This study connects a previously developed parametric module with an exploratory material-recovery workflow...

Sequence-Activity Relationships and Integrated In Silico and In Vitro Mechanistic Study of the Antimicrobial Peptide PEP-4 against Staphylococcus aureus

Abstract The rise of antimicrobial resistance among ESKAPE pathogens demands novel therapeutic strategies. Here, we evaluate a panel of five synthetic peptides through integrated in vitro and in silico analyses, highlighting PEP-4 as a promising antibacterial lead peptide. Our fi...

An AI-interpretable multidimensional intelligence-driven framework for student performance prediction using local LLM-based narrative reasoning

Predicting student performance has become a vital objective in educational data mining, however existing models remain limited by limited feature sets, opaque decision processes, and the absence of real-time, context-aware interpretative intelligence. This study presents a novel...

Immunoglobulin GM (γ marker) allotypes as potential genetic markers of efficacy of lecanemab therapy in Alzheimer's disease

Lecanemab is a humanized IgG1 monoclonal antibody that targets amyloid-β (Aβ) aggregates, a pathological hallmark of Alzheimer's disease (AD). In the largest clinical trial of its kind to date, lecanemab slowed cognitive decline by 27% in patients with early-stage AD. Lecanemab h...

LAB #4143 NEUTRAL: LEDGER BENCH: Apply filter: Min confirmations >= 5 — improves win rate from 32.6% to 34.1% (+1.5pp, — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Min confirmations >= 5 — improves win rate from 32.6% to 34.1% (+1.5pp, n=1832) SAME-WINDOW EFFECT: Applying a minimum-5-confirmation filter would have rejected the two most recent rizzy5m entri...

Improved oxidative stability and sensory acceptability of omega-3–fortified kefir using whey protein–stabilised fish oil nanoemulsions

Abstract This study assessed whey protein isolate (WPI)–stabilised fish oil nanoemulsions (FO-NEs) to improve oxidative stability and sensory properties of omega-3–fortified kefir. FO-NEs (10% w/w oil), produced by high-pressure microfluidisation, were incorporated into kefir and...