Research works

GC–MS-based chemometric profiling of volatile oils from Ocimum varieties reveals bioactive markers associated with anti-skin cancer activity

Abstract Skin cancer is the most commonly diagnosed cancer worldwide. Basil oils have been traditionally used for alleviating various diseases. This study investigated the chemical profile and anticancer activity of five basil oils’ varieties (purple, lemon, Italian, Asian, and l...

Spatial Associations Between the Neighborhood Built Environment and Mental Health: Evidence from Tehran

Abstract Built environments influence mental health, yet evidence on how different dimensions of urban form relate to specific mental health outcomes remains mixed, particularly in high-density cities. This study examined these relationships in Tehran, Iran, while accounting for...

An Easy One-Step Multiconventional Refining Approach for Producing Potential Biolubricants from Black Soldier Fly (BSF) Fat ( Hermetia illucens )

Abstract BSF-Fat, the residue of the insect protein production process, represents a renewable, nonfood lipid feedstock for preparation of “green base oils” used as biolubricants. Yet, BSF-Fat-based biolubricants require chemical modification of alkyl esters to render adequate pr...

How Crystallite Size and Topology Control Intrusion–Extrusion Hysteresis in Metal–Organic Frameworks

Heterogeneous lyophobic systems (HLSs) are of interest for diverse applications, including energy materials and column chromatography. Within these systems, tuneability is a key property to broaden the scope of application. In this work, we explore how the exogeneous property of...

First-Principles Calculations of the Magnetocrystalline Anisotropy Energy in Disordered Alloys Using Wannier-based Coherent Potential Approximation

We present a method for calculating the magnetocrystalline anisotropy energy (MAE) of disordered alloys using Green’s functions constructed from Wannier Hamiltonians within the coherent potential approximation (Wannier-CPA). The MAE of a disordered alloy system is obtained from t...

Large-Scale Cerebellar-Cerebral Network Alterations Underlying Impaired Social Predictive Processing in Cerebellar Neurodegeneration

Abstract The cerebellum is a key node for detecting and adjusting social-prediction internal models. Yet social prediction has been scantly investigated in neurodegenerative cerebellar patients (CB). Thus, we examined CB social-prediction abilities and related cerebellar-cerebral...

A Multifunctional Composite Interface Layer toward High-Performance Stable Zn Anode

The development of aqueous zinc-ion batteries (AZIBs) is often limited by uncontrolled dendrite growth and detrimental side reactions occurring at the Zn anode. Herein, a multifunctional protective coating, constructed by incorporating vermiculite nanosheets (VN) into a carboxyme...

Societal Neural Networks: Governance-Aware Adaptive Coordination among Human, AI, and Institutional Actors

The metaphor of society as a neural network is not new. Prior research has modeled human society using neural-network and Boltzmann-machine analogies, while newer work on society-in-the-loop governance, institutional AI, human-AI coordination, and AI-orchestrated organizations ha...

LED Photoactive Antibacterial Carbon Nanomaterial Surfaces

Carbon-based nanomaterials are potentially antimicrobial in water treatment, healthcare, and environmental applications. The antibacterial properties of various carbon nanomaterial surfaces have been investigated; however, studies including direct comparisons between carbon nanom...

Insertion into Donor–Acceptor Cyclopropanes with Carbon–Sulfur Moieties Derived from Sulfoxonium Ylides and Elemental Sulfur

Abstract The (3 + 2) cycloaddition of donor–acceptor cyclopropanes (DACs) with carbon–sulfur 2π components has become an emerging method to rapidly assemble tetrahydrothiophenes. Starting materials donating the carbon–sulfur unit are often isolated from thionation of carbonyls or...

From Single-Chain Adsorption to Aggregate-Scale Adhesion: AFM Insights into Polyisoprene–Inorganic Interfacial Interactions

Abstract Understanding the interactions between polymers and inorganic fillers is crucial for enhancing interfacial effects and optimizing the mechanical properties of polymer nanocomposites. We used two atomic force microscopy (AFM)-based nanomechanical techniques: nanomechanica...

Heavier Counterparts for Phosphine-Protected Gold Clusters. Electronic, Bonding, and Optical Properties of Au13Cl2(L5) and Au13(L6) Superatoms

Abstract Ligand-protected clusters with atomically precise structures serve as prototypical models for understanding versatility at the bottom of the nanoscale regime. Here, we set to investigate the impact of ligand identity on the structural, bonding, and optical properties bas...

Thermo-vibrational fusion for early-stage ball bearing fault diagnosis: a multi-modal machine learning framework

Abstract Rolling bearing failures account for 40–50% of rotating machinery breakdowns, but the complementary diagnostic potential of thermal sensing remains underutilized. This study presents a thermo-vibrational fusion framework for early-stage ball bearing fault diagnosis using...

The Evolving Role of Researchers and Research Software Engineers

The role of the researcher is rapidly evolving as LLMs and coding agents become part of everyday scientific workflows, shifting the work from writing code towards verifying it. The role of the research software engineer is shifting with it. In this talk we draw on our experience...

An Edict of Conquest: MCIS and Goldbach's Conjecture

This manuscript presents the "Mutually Constrained Identity Set" (MCIS) and its application to Goldbach's Conjecture. Goldbach's Conjecture, a three-century-old enigma, is not profoundly unsolvable; it is merely the victim of an obsolete paradigm. By establishing the equation P+P...

Optimized CNN–BiGRU–BiLSTM Architecture with Variational Mode Decomposition and Attention Mechanism for Electricity Price Forecasting

Abstract With the advent of deregulation in electricity markets, price forecasting has become an important task for generation and retail companies to enhance economic efficiency and market competitiveness. Traditional statistical models are widely employed, but they struggle to...

Master of One's Own Acts: Thomas Aquinas and Delegated Decision in Generative Artificial Intelligence

This essay argues that generative artificial intelligence can displace students from the very act that, according to Thomas Aquinas, makes an action human: deciding with deliberation. For Aquinas, the human being differs from irrational creatures in being master of his own acts,...

The "Greenham Common" Paradox and Digital Karma: Thermodynamic Asymmetry of Gig-Economy Warfare, Post-Deterrence Abandonment, and the Collapse of Pacifist Perimeters

【Description / Abstract】For more than four decades, Western civil pacifism and host-nation anti-base movements—canonized in post-war cultural consciousness and literary artifacts, such as Ali Smith's Winter through the uncompromising persona of the Greenham Common peace activis...

Phenylammonium Grafted SAM Molecule in Molecule-Extrusion Process to Enhance Perovskite Film Quality and Interfacial Passivation

Abstract Widely used as hole transport layers (HTLs) for inverted perovskite solar cells (PSCs), the functions of phosphonic acid-based self-assembly monolayer (SAM) molecules in the bulk of the perovskite film have been studied in a limited manner but are essential. In this work...

Dehydrogenation of 1-Methyldecalin as a Liquid Organic Hydrogen Carrier: Effect of Isomer Composition on Catalyst Performance and Stability

Abstract Liquid organic hydrogen carriers (LOHCs) represent a safe and cost-effective resource for hydrogen storage due to reversible hydrogenation/dehydrogenation cycles. Although scarcely studied, the 1-methylnaphthalene/1-methyldecalin (1-MN/1-MD) pair could be an attractive L...