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Showing posts from May, 2025

Biophysically plausible models of synaptic plasticity

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  Biophysically plausible models of synaptic plasticity Understanding Synaptic Plasticity Through Biophysically Plausible Models Synaptic plasticity—the ability of synapses to strengthen or weaken over time—is a cornerstone of learning and memory in the brain. To study this complex biological phenomenon, researchers are increasingly turning to biophysically plausible models that simulate how neural connections change based on activity, spike timing, and chemical signaling. Unlike abstract machine learning algorithms, these models incorporate detailed mechanisms such as ion channel dynamics, neurotransmitter diffusion, dendritic integration, and spike-timing-dependent plasticity (STDP). They help bridge the gap between cellular neuroscience and systems-level computation , offering insights into how real neurons learn and adapt. One prominent example is STDP-based modeling , where the timing of spikes from pre- and postsynaptic neurons determines whether synaptic strength is inc...

Dynamically adjustable topological edge states in thermal diffusion-advection system

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  Dynamically adjustable topological edge states in thermal diffusion-advection system Exploring Dynamically Adjustable Topological Edge States in Thermal Diffusion-Advection Systems Topological edge states, once thought to be exclusive to quantum and electronic systems, are now revealing their potential in classical environments—particularly in thermal systems. Our recent study investigates how dynamically tunable topological edge states can be engineered within diffusion-advection frameworks , opening new pathways for controlling thermal energy transport . In typical thermal systems, heat transfer is governed by a combination of diffusion and advection. However, by designing specific boundary conditions and internal flow patterns, it becomes possible to emulate topological invariants that result in robust, localized thermal currents along system edges. These edge modes are not only resilient to perturbations and defects , but in our model, they can also be dynamically contro...

Mr. Apostolos Parasyris | Greece | Best Scholar Award

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       Mr. Apostolos Parasyris | Greece | Best Scholar Award We are thrilled to announce the recipient of this year’s  Best Scholar Award —a shining example of academic excellence, dedication, and intellectual growth. This prestigious recognition isn’t just about grades; it's about perseverance, passion, curiosity, and the drive to go above and beyond. From the first day of the academic year, this remarkable student has displayed not only a deep understanding of their subjects but also a consistent hunger for knowledge. Their academic record is outstanding, their research contributions inspiring, and their engagement in extracurricular activities nothing short of admirable. Whether tackling complex scientific concepts, engaging in thoughtful debates, leading group projects, or mentoring fellow students, our Best Scholar has done it all—with humility and grace. This award celebrates not only their intellect but their integrity, leadership, and commitment to lifel...

Topological data analysis assisted machine learning for polar topological structures in oxide superlattices

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  Topological data analysis assisted machine learning for polar topological structures in oxide superlattices Topological Data Analysis Assisted Machine Learning for Polar Topological Structures in Oxide Superlattices In the quest to understand and design advanced materials, polar topological structures in oxide superlattices represent a frontier with significant potential. These complex materials exhibit exotic phases such as polar vortices, skyrmions, and topological domain walls, which are of great interest for next-generation nanoelectronic and spintronic devices. However, identifying and classifying such intricate features at the nanoscale remains a considerable challenge. To address this, researchers are now integrating Topological Data Analysis (TDA) with Machine Learning (ML) , creating a powerful synergy that enables automated, robust characterization of complex spatial structures in high-resolution datasets. TDA provides a mathematical language to describe the shape an...

Biomedical optics and photonics for advanced clinical technologies

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Biomedical optics and photonics for advanced clinical technologies Biomedical Optics and Photonics: Shaping the Future of Advanced Clinical Technologies Biomedical optics and photonics are transforming the way clinicians diagnose, monitor, and treat diseases. By leveraging light-based technologies, researchers and engineers are creating powerful tools for non-invasive imaging, early disease detection, real-time surgical guidance, and precision therapy. This interdisciplinary field merges physics, engineering, biology, and medicine to deliver innovative solutions for today’s most complex healthcare challenges. From optical coherence tomography (OCT) used in ophthalmology to photoacoustic imaging in cancer diagnostics, photonic technologies enable high-resolution, real-time insights into tissue structure and function without the need for invasive procedures. In neurology, diffuse optical imaging and near-infrared spectroscopy (NIRS) are improving our understanding of brain function...

Complex resistivity dispersion for monitoring soil contaminated by selected organic pollutants

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Complex resistivity dispersion for monitoring soil contaminated by selected organic pollutants Complex Resistivity Dispersion for Monitoring Soil Contaminated by Selected Organic Pollutants Monitoring soil contamination caused by organic pollutants remains a critical challenge in environmental geosciences. Among various non-invasive geophysical techniques, Complex Resistivity (CR) dispersion —also referred to as Spectral Induced Polarization (SIP) —has emerged as a powerful method for characterizing contaminated subsurface environments. This method leverages frequency-dependent electrical properties of soils, enabling the detection and differentiation of pollution signatures associated with hydrocarbons, pesticides, and industrial solvents. This study explores the application of CR dispersion in soils impacted by selected organic pollutants, aiming to establish relationships between contaminant type, concentration, and geoelectrical response. Laboratory-controlled experiments were co...

Lifetime Achievement Award

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                Lifetime Achievement Award Honoring a Legacy of Excellence: Lifetime Achievement Award We are honored to celebrate the remarkable journey and lasting impact of [Recipient's Name], recipient of the prestigious Lifetime Achievement Award . This award recognizes not just the achievements of a distinguished career, but the dedication, leadership, and passion that have inspired generations and transformed lives. Over the span of several decades, [Recipient's Name] has exemplified excellence in [mention field—e.g., education, science, medicine, leadership, community service]. Through unwavering commitment and visionary leadership, they have shaped their field and left an indelible mark on colleagues, students, and the broader community. From groundbreaking research to mentoring the next generation, [he/she/they] has not only contributed to advancing knowledge but also enriched lives. Their work stands as a testament to integrity, pers...

Numerical study of particle resuspension in the wake of a rotating wheel

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  Numerical study of particle resuspension in the wake of a rotating wheel Numerical Study of Particle Resuspension in the Wake of a Rotating Wheel Particle resuspension in the wake of a rotating wheel plays a critical role in a variety of engineering and environmental applications, including vehicle aerodynamics, road dust transport, and air quality near traffic zones. In this study, we present a detailed computational fluid dynamics (CFD) investigation aimed at understanding the mechanisms behind particle detachment and transport due to the complex wake generated by a rotating wheel near a ground surface. The flow field around the wheel was modeled using transient Reynolds-Averaged Navier-Stokes (RANS) equations and Large Eddy Simulation (LES) where appropriate, to capture both mean flow structures and turbulent eddies responsible for particle mobilization. A moving wall boundary condition was applied to replicate the rotation of the wheel, while a no-slip condition was enforced ...

Biophysical effects and neuromodulatory dose of transcranial ultrasonic stimulation

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  Biophysical effects and neuromodulatory dose of transcranial ultrasonic stimulation Understanding the Biophysical Effects and Neuromodulatory Dose of Transcranial Ultrasonic Stimulation (TUS) Transcranial ultrasonic stimulation (TUS) has emerged as a promising non-invasive neuromodulation technique capable of targeting deep brain structures with high spatial precision. Unlike traditional methods such as TMS (transcranial magnetic stimulation) or tDCS (transcranial direct current stimulation), TUS leverages low-intensity focused ultrasound to modulate neural activity without surgery or ionizing radiation. The biophysical effects of TUS are primarily mediated through mechanical interactions with neural membranes, including acoustic radiation force, membrane displacement, and potentially intramembrane cavitation. These interactions can influence ion channel activity and neuronal excitability, leading to either excitation or inhibition depending on parameters such as intensity, frequ...

The influence of device physics on organic magnetoresistance

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  The influence of device physics on organic magnetoresistance The Influence of Device Physics on Organic Magnetoresistance Organic magnetoresistance (OMAR) is a fascinating phenomenon observed in organic semiconductors, where a small magnetic field can significantly alter the electrical resistance of the material. This effect has attracted increasing interest due to its potential applications in organic light-emitting diodes (OLEDs), flexible sensors, and spintronic devices. However, the performance and characteristics of OMAR are not solely dictated by material properties—they are strongly influenced by device physics. Device architecture plays a crucial role in determining the magnitude and behavior of OMAR. Factors such as the nature of the electrodes, the thickness of the organic layer, and the interface quality between different materials can drastically alter the charge carrier dynamics. These changes affect spin mixing processes, which are central to the OMAR effect. Mor...

Effect of single particle potential on total cross section of nuclear reaction

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Effect of single particle potential on total cross section of nuclear reaction Effect of Single Particle Potential on Total Cross Section of Nuclear Reactions In nuclear physics, the study of nuclear reactions and their probabilities is fundamental for understanding the interaction between nucleons (protons and neutrons) and nuclei. One important measurable quantity is the total cross section , which represents the likelihood of any reaction occurring when a projectile particle collides with a target nucleus. The total cross section is influenced by many factors, and one critical aspect is the single particle potential experienced by the incoming nucleon or particle within the nuclear environment. The single particle potential refers to the effective potential that a single nucleon feels due to the mean field generated by all other nucleons in the nucleus. This potential can be complex, incorporating both real and imaginary components: the real part describes the average attractive ...

Spectral and global emissivity assessment by means of a novel infrared methodology

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Spectral and global emissivity assessment by means of a novel infrared methodology Spectral and Global Emissivity Assessment Using a Novel Infrared Methodology Accurate assessment of spectral and global emissivity is critical in the field of thermal analysis, where material characterization and energy efficiency evaluations rely heavily on precise infrared data. Emissivity — a measure of a material’s ability to emit thermal radiation — varies with wavelength, temperature, and surface properties. However, traditional methods for emissivity measurement often suffer from limitations such as high complexity, lack of in-situ adaptability, and limited spectral resolution. To address these challenges, we introduce a novel infrared methodology that enhances both spectral and global emissivity assessment across a broad thermal range. This approach leverages advanced infrared spectroscopy and non-contact measurement techniques to deliver high-resolution emissivity profiles with improved accurac...

Multiple mechanisms of termination modulate the dynamics of RNAPI transcription

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  Multiple mechanisms of termination modulate the dynamics of RNAPI transcription Multiple Mechanisms of Termination Modulate the Dynamics of RNAPI Transcription Transcription termination is a critical regulatory step in gene expression, ensuring that RNA synthesis concludes precisely and efficiently. For RNA Polymerase I (RNAPI), which is responsible for transcribing ribosomal RNA (rRNA) genes, this process must be tightly regulated to maintain cellular homeostasis and respond to physiological demands. Recent studies have shed light on the complex network of termination mechanisms that govern RNAPI activity, revealing a multifaceted regulatory system rather than a singular termination event. Unlike RNA Polymerase II, whose termination is well characterized through the cleavage and polyadenylation machinery, RNAPI termination involves unique pathways. These include transcriptional pausing, the formation of specific RNA structures, and interactions with termination factors such as R...