Research works

NOM-optimized CNN-LSTM model for dynamic response prediction of a nonlinear piezoelectric energy harvester

As the strong nonlinearity and highly complex of piezoelectric energy harvesters (PEH), accurately predicting the dynamic response using mathematical models remains challenging. This study introduces a CNN-LSTM (Convolutional Neural Network, Long Short Term Memory) combined with...

Reliability Control Chart for Time Truncated Quality Assurance Using Generalized Pareto Distribution

ABSTRACT In this study, we propose an attribute control chart to develop a time truncated life test which is able to detect the number of defectives. The control chart parameters are designed to enhance under Average run length when it is follows a Generalized Pareto distribution...

Imbalance of oxidative stress and its role in Parkinson's disease

Parkinson's disease (PD) is the greatest shared neurodegenerative disease affecting millions of individuals in the world, and it is linked to the continual deterioration of dopaminergic neurons in the Substantia nigra (SN) pars compacta. Despite years of intensive study, the deta...

Building predictive models from IF-THEN rules extracted from Fuzzy Cognitive Maps

In previous work, extraction algorithms have been used to obtain sets of causal IF-THEN rules that summarise and explain the dominant dynamics of systems modelled by means of Fuzzy Cognitive Maps. This article explains how to turn those rules into predictive models that respond i...

Decoupled Synthesis Pathway via Precursor Functionalization Stabilizes High‐Voltage Nickel‐Based Cathodes

ABSTRACT Nickel‐based layered cathodes are promising candidates for high‐performance, high‐energy lithium‐ion batteries, yet their high‐voltage application is jointly limited by synthesis‐inherited structural defects and an unstable lattice oxygen framework. Here, we show that bo...

From multi-source data uncertainty to interval-based robust calibration: A transferable solution for hydrological modeling in data-scarce alpine basins

Study Region The European Alps feature steep elevation gradients, snow-influenced hydrology, and strong spatial variability in water and energy fluxes. Hydrological modeling is limited by sparse high-elevation observations, while growing multi-source data availability introduces...

A dual GLP-1/GIP agonist inhibits oxidative stress in diabetic rats with cerebral ischemia-reperfusion injury by activating the Nrf2/ARE signaling pathway

Stroke is the leading cause of disability-affected life years in China, posing a great social hazard. Diabetes is a chronic disease that seriously affects human health that can aggravate cerebral ischemia - reperfusion injury. Oxidative stress is the main mechanism through which...

Framing the Canadian Health Technology Assessment as an Organisational Process: A Bibliometric Analysis

ABSTRACT Health Technology Assessment (HTA) is an organizational process used to determine the value of health‐technologies. There is considerable variation in how HTA is developed globally, with Canada at the forefront of this field, having pioneered the use of HTA and implement...

Execution-Guided Detection of Semantic Code Perturbations

This paper proposes execution-guided detection: a framework that runs AI-generated code in a sandboxed environment, captures execution traces across diverse test inputs, and classifies code as clean or adversarially perturbed based on behavioral differences. Key findings:- Bounda...

Clinker Reduction and Environmentally Preferable Cement Alternatives in Structural Concrete

The decarbonization of structural concrete is governed less by the aggregate skeleton than by the chemistry and thermal history of the cementitious binder. Portland clinker is carbon-intensive because its manufacture combines high-temperature calcination of limestone with fuel an...

Out into the Open: Occurrence of Extended-spectrum β-lactamase-producing and Multidrug-resistant Escherichia coli in Mariculture and Recreational Coastal Waters

Abstract The Tricycle Protocol is a One Health initiative that involves monitoring extended-spectrum β-lactamase-producing Escherichia coli (ESBL-Ec), an opportunistic intestinal and extraintestinal pathogen that is recognized as critically important for the development of new an...

CGRP inhibition in the PBN shifts defensive strategy from freezing to active avoidance in a platform-based active avoidance paradigm

Elucidating the neural circuits that govern the selection between passive freezing and active avoidance can provide insights into maladaptive defensive behaviours. One candidate neural substrate is calcitonin gene-related peptide (CGRP) expressing neurons in the parabrachial nucl...

Benchmarking copy number alteration inference methods for spatial transcriptomics

Copy number alterations (CNAs), gains or losses of genomic regions, contribute to malignant progression and tumor heterogeneity. Advances in spatial transcriptomics have expanded opportunities to study clonal structure in situ, but direct spatial genomic profiling remains difficu...

EuroMillions Breakthrough Mining — 3385 Sources, 29409 Leads Extracted — E8 Intelligence Research

Mined 3385 lottery+quantum breakthroughs. Extracted 29409 leads across 13 categories. 26992 high-value leads found. Categories: {"CORRIDOR": 2505, "FORMULA": 2331, "GEOMETRIC": 953, "FORWARD_ATTEMPT": 2658, "QUANTUM": 2885, "TIMING": 298, "CELESTIAL": 2414, "GEMATRIA": 2547, "CON...

Machine Learning-Enabled Production Planning for Intelligent SAP Manufacturing Systems

Production planning is a critical component of intelligent manufacturing, where accurate forecasting and efficient resource allocation directly influence operational performance, inventory utilisation, and enterprise sustainability. Modern SAP Enterprise Resource Planning (ERP) s...

Massive non-surgical hemorrhage induced by amniotic fluid embolism during cesarean hysterectomy for placenta percreta with placenta previa: a case report

Amniotic fluid embolism (AFE) can give rise to disseminated intravascular coagulation (DIC), which can result in life-threatening obstetric hemorrhages. There are no reported cases where sudden onset massive pulmonary and intestinal hemorrhages were the main mode of blood loss du...

Sustainable Hybrid Battery Thermal Management Systems for EVs: Advances in Lithium-Ion Cooling Strategies and AI-Driven Control

Abstract Battery thermal management systems (BTMS) are essential for ensuring the safe, efficient, and reliable operation of lithium-ion batteries by regulating temperature and limiting electrochemical degradation. This article reviews recent sustainable advancements in BTMS, wit...

The loss of canopy ash trees (Fraxinus spp.) from North American forests may result in homogenization of understory flora

In North America, many canopy ash trees ( Fraxinus spp.) are being eliminated from forests by the Emerald Ash Borer ( Agrilus planipennis ). This is yet another case of a native tree species being functionally eliminated by non-native pests. Lasting effects on forests might be mi...

A Mitochondrial-Related Gene Signature for Diagnosis and Immune Microenvironment Modulation in Lung Cancer and Venous Thromboembolism

Background: Lung cancer (LC) and venous thromboembolism (VTE) are closely associated, with VTE contributing to morbidity and mortality among patients with LC. We aimed to identify and characterize a mitochondrial-related transcriptomic signature shared between LC and VTE and to e...

Static Spherical Realization of a VGM Physical Response Law: Exterior Massive-Vector Sector, Metric Backreaction, and Observable Residuals

This work develops a static, spherically symmetric realization of the VGM physical response framework, translating the general covariant response-law architecture into an explicit exterior field configuration. The analysis examines a massive-vector response sector, its induced me...