Research works

📣 PROMO READY #111 [Facebook trading groups] — E8 Intelligence live AI trading ecosystem — E8 Intelligence Research

📣 PROMO READY #111 [Facebook trading groups] — E8 Intelligence live AI trading ecosystem Ever feel like the markets are moving faster than you can think? That's because they are—unless you've got E8 Intelligence running in the background. We've built a live AI ecosystem that app...

Disentangling the role of adaptive immunity in Alzheimer’s disease

Abstract Alzheimer’s disease (AD), the most common age-related neurodegenerative disorder, is characterized by progressive synaptic and neuronal loss, amyloid-β deposition, hyperphosphorylated tau accumulation, and chronic neuroinflammation, traditionally attributed primarily to...

Effectiveness of Deep Breathing and Range of Motion Exercises in Reducing Fatigue among Chronic Kidney Disease Patients Undergoing Haemodialysis: A Quasi-Experimental Study

Objectives Chronic kidney disease (CKD) is often linked to persistent physical and mental exhaustion, particularly among patients receiving hemodialysis. To help manage this fatigue, deep breathing techniques along with a range of motion (ROM) exercises were incorporated into the...

EXTRACTED METHOD: cross_reference_sacred_geometry — E8 Intelligence Research

rule: Overlay projected E8 vertices onto Flower of Life, Metatron's Cube, and Stonehenge sarsen circle templates; compute RMS deviation of vertex-to-template alignment. source: rlab #119 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Resear...

Decreased cerebrospinal fluid NDRG2 is associated with non-Alzheimer's disease derived mild cognitive impairment

Background Mild cognitive impairment (MCI) lacks clear clinical biomarkers. N-Myc downstream-regulated gene 2 (NDRG2) is predominantly localized in astrocytes and is implicated in cognitive function. Objective This study aims to explore whether cerebrospinal fluid (CSF) NDRG2 cou...

LAB #986 PROMISING: LEDGER BENCH: Apply filter: XAUUSD LONG @ ASIAN with 5 conf — improves win rate from 31.6% to 66.7% — E8 Intelligence Research

IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: XAUUSD LONG @ ASIAN with 5 conf — improves win rate from 31.6% to 66.7% (+35.0pp, n=21) SAME-WINDOW EFFECT: Over the current trade window, applying the XAUUSD LONG @ ASIAN with 5 conf filter wou...

Artificial intelligence attitudes in relation to Mediterranean diet adherence and environmental footprints: a cross-sectional study

This study aimed to evaluate the relationship between attitudes towards artificial intelligence and adherence to the Mediterranean Diet (MD), carbon footprint awareness and environmental footprint awareness among adults. This cross-sectional study was conducted in Ankara, Turkey,...

metaIVP: an integrative metavirome focused metagenomic processing pipeline

Metagenomic studies increasingly rely on complex, multi-tool pipelines to recover and characterize viral and non-viral genomes from mixed microbial communities. While these pipelines enable high-resolution genome recovery, limited functionality in downstream post-processing workf...

Numerical and Experimental Investigation of High-Pressure Stoichiometric Hydrogen-Oxygen Combustion In a Steam Atmosphere

Abstract The present work deals with the numerical and experimental investigation of a novel combustion system for the generation of superheated steam. This combustion system is based on the stoichiometric combustion of pure oxygen and hydrogen in an atmosphere of high-pressure,...

Powered Rotational Sheaths in Complex Transvenous Lead Extraction: Comparative Outcomes With Telescoping Sheaths and the WARD‐10 Score

ABSTRACT Background Transvenous lead extraction (TLE) is essential for CIED management and is generally safe with contemporary techniques, although rare cardiac or vascular complications can be life‐threatening. Comparative data between non‐powered telescoping sheaths (TS) and po...

TransferLearning Empowers the Development of Better-PerformingModels for In Vivo Cardiotoxicity by Learning from In Vitro hERG Binding Data

Abstract Evaluating chemical hazards, such as cardiotoxicity, is critical for sound chemical management but is challenging due to the labor-intensive and time-consuming nature of in vivo testing. In silico models can efficiently and cost-effectively screen potential cardiotoxic c...

Sensing‐Integrated Patient‐Derived Tumorspheres Predict Chemotherapeutic Efficacy via Local Extracellular pH Dynamics

ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) is among the deadliest malignancies, due to late diagnosis, poor therapeutic response, and high inter‐ and intra‐patient heterogeneity. Metabolic alterations, particularly extracellular acidification, critically impair drug respons...

Phytochemical Profiling and Proteomic Insights into the Anti-Inflammatory Effects of Jing Guan Fang in LPS-Stimulated Macrophages

Jing Guan Fang (JGF) is a traditional multi-herb formula used for hyperinflammatory conditions associated with severe viral infections; however, its protein-level effects in macrophage-mediated inflammation remain incompletely characterised. In this study, we combined ultra-perfo...

The Complete Einstein Equation of the Electron

We apply the full retarded Green operator to the harmonic-gauge linearized Einstein equation of a localized electron. The resulting causal field is compared with a classical truncation containing an instantaneous near-zone field and a finite outgoing radiation sector. Their diffe...

ECL₃: Epistemic Causal Logic — Paper I: Core Logic, Semantics, and Completeness

We introduce ECL3 (Epistemic Causal Logic), a three-valued formal logic extending Łukasiewicz L3 with an observability predicate Obs and a causal operator Cause. The system distinguishes truth (what is the case), observability (whether it can be known), and causal accessibility (...

Application of a virtual simulation platform combined with the presentation-assimilation-discussion class in human morphology practical teaching: a quasi-experimental study

Abstract Background Human Morphology integrates anatomy, histology, and embryology and requires students to connect macroscopic and microscopic structures. Traditional practical teaching may be constrained by limited specimen availability, restricted classroom time, and passive l...

Exploration of fractional effects and a non-sinusoidal current-phase relation in Josephson junction arrays

Purpose The paper aims to provide a numerical exploration of the effect of fractional spatial derivatives and a non-sinusoidal current-phase relation for systems modelled using sine-Gordon equations and, in particular, Josephson junction parallel arrays. Design/methodology/approa...

Perinatal Opioid-Related Disorder Care Across Nursing and Community Settings

Abstract Background: Pregnant and postpartum individuals affected by opioid use disorder (OUD) experience barriers to accessing medications for opioid use disorder (MOUD) and engagement in treatment. Nursing-led approaches that integrate community and pharmacy may help close care...

Breaking the 50% EfficiencyCeiling: A Tandem ElectrochemicalCycle for Efficient Singlet Oxygen Electrosynthesis

Abstract Singlet oxygen (1O2) electrosynthesis from dioxygen (O2) offers a sustainable route to value-added oxygenation reactions in pharmaceutical manufacturing. Conventional electrochemical generation, however, relies on the one-electron reduction of O2 to superoxide (O2•–) fol...

From making to judging: Art education in the AI era

Art creation becomes almost effortless with Generative AI. However, a bigger challenge arises at the heart of creativity: assessing the quality of what is produced and remaking it accordingly. This essay argues that the truly scarce and teachable skill in art education is not mer...