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Christopoulous takis

1 Lund University International Master Program in Environmental Sciences Waste treatment in Greece after the passage of EU Landfill Directive. Landfill Bioreactor Cell treatment as sustainable solution Master's Thesis by Panagiotis G. Christopoulos takis1christ@yahoo.gr Supervisor: Torleif Bramryd Associate Professor, Head Environmental Strategy Box 882 25108 Helsingborg, Sweden Torleif.Bramryd@mi

https://www.lumes.lu.se/sites/lumes.lu.se/files/christopoulous_takis.pdf - 2026-05-30

The importance for strategic management decision making of understanding the impact of culture on implicit professional values.

The main concern of this paper is the joint utilization of new methods of research and analysis in the study of value. 40 persons, varying from age 20 to 70 and from different professional domains were studies by the use of a three-images technique inspired by Murray´s TAT. The aim was to unveil the implicit dimensions of work related values. Three analytical methods (content analysis, lexical ana

What do patients prefer? A multinational, longitudinal, qualitative study on patient-preferred treatment outcomes in early rheumatoid arthritis

OBJECTIVES: To explore treatment outcomes preferred by patients with early rheumatoid arthritis (RA) and how these change throughout the early disease stage across three European countries. METHODS: A longitudinal, qualitative, multicentre study was conducted in Belgium, the Netherlands and Sweden. 80 patients with early RA were individually interviewed 3-9 months after treatment initiation and 51

Study on the Influence of External Electric Field Control and Vibrational Quantum Effect on the Charge Separation Mechanism in Fullerene-Based Systems

Based on the DCV-C60 system of fullerene acceptor organic solar cell active materials, the charge transfer process of D-A type molecular materials under the action of an external electric field (Fext) was explored. Within the range of electric field application, the excited state characteristics exhibit certain regular changes. Based on reducing the excitation energy, the excitation mode shows a t

Coherent Phonons, Localization, and Slow Polaron Formation in Lead-Free Gold Perovskite

Lead-free metal halide perovskites are emerging as less-toxic alternatives to their lead-based counterparts. However, their applicability in optoelectronic devices is limited, and the charge transport dynamics remain poorly understood. Understanding photo-induced charge and structural dynamics is critical for unlocking the potential of these novel systems. In this work, ultrafast optical and Raman

Theoretical study of novel D-A-π-A-π-A conjugated organic dye sensitizers : impact of alkyl chain and electron-withdrawing functional groups substitution

The influence of alkyl chain on the physical and photochemical properties of D-A-π-A-π-A sensitizers (GZ-121 and GZ-124) for dye-sensitized solar cells (DSSCs) was investigated through density functional theory (DFT). Key aspects examined include geometry, optical characteristic, electron injection, intramolecular charge transfer, and dye regeneration. Adsorption models of dye@TiO2, short-circuit

Temperature-Dependent Intensity Modulated Two-Photon Excited Fluorescence Microscopy for High Resolution Mapping of Charge Carrier Dynamics

We present a temperature-dependent intensity modulated two-photon excited fluorescence microscopy technique that enables high-resolution quantitative mapping of charge carrier dynamics in perovskite microcrystal film. By disentangling the emission into harmonics of the excitation modulation frequency, we analyze the first and second order charge carrier recombination processes, including potential

Formal Local Implication Between Two Neural Networks

Given two neural network classifiers with the same in-put and output domains, our goal is to compare the two networksin relation to each other over an entire input region (e.g., within avicinity of an input sample). To this end, we establish the foundationof formal local implication between two networks, i.e., N2D=⇒ N1, in an entire input region D. That is, network N1 consistently makesa correct d

A droplet-based microfluidics route to temperature-responsive colloidal molecules

Small clusters of spherical colloids that mimic real molecules, so-called colloidal molecules, hold great promise as building blocks in bottom-up routes to new materials. However, their typical hard sphere nature has hampered their assembly into ordered structures, largely due to a lack of control in the interparticle interactions. To provide easy external control of the interactions, the present

Photocurrent detected 2D spectroscopy via a pulse shaper : insights and strategies for optimally untangling the nonlinear response

Action-detected two-dimensional electronic spectroscopy (A-2DES) provides valuable insights into ultrafast dynamics within functional materials and devices by measuring incoherent signals like photocurrent. This work details the implementation and optimization of a pulse-shaper-based A-2DES setup, focusing on methodological strategies crucial for acquiring high-fidelity data. We present a comprehe

The coexistence of humans and algorithmic machines

Machine Learning (ML) applications shape, and are shaped by, human values. In the last decade classificatory models have become the most widely applied type of ML. However, since the invention of Generative Adverserial Networks (GANs) in 2014, the field of generative ML is likely to become equally prolific in the years to come. GANs can generate convincing fakes of video footage, pictures, graphic

Membership Inference Attack in Random Forests

Machine Learning (ML) offers many opportunities, but its reliance on personal data raises privacy concerns. One such example is the Membership Inference Attack (MIA), which aims to determine whether a specific data point was part of a model’s training dataset. In this paper, we investigate this attack on Random Forests (RFs) and propose a method to quantify their vulnerability to MIA. We also demo

Federated Learning for Obstacle Detection to Assist the Visually-Impaired Using Augmented Reality

Vision impairment increases risks such as social isolation, mobility challenges, and falls. Wearable Augmented Reality (AR) devices with Artificial Intelligence (AI) can enhance sensory perception by enabling real-time recognition of obstacles, assisting visually impaired individuals during street navigation, aiming to reduce the risk of falls. In this paper, we propose a Federated Learning (FL) f

AI-Enhanced High-Resolution Functional Imaging Reveals Trap States and Charge Carrier Recombination Pathways in Perovskite

Understanding and managing charge carrier recombination dynamics is crucial for optimizing the performance of metal halide perovskite optoelectronic devices. In this work, we introduce a machine learning-assisted intensity-modulated two-photon photoluminescence microscopy approach for quantitatively mapping recombination processes in MAPbBr3 perovskite microcrystalline films at micrometer-scale re

Dual conformational emission and vibrational coherence in a sulfone-embedded narrowband emitter

Organic luminescent narrowband emitters have emerged as promising candidates for wide-color-gamut displays. However, the comprehensive photo-induced structural and vibrational dynamics responsible for the spectral broadening remain poorly understood. In this study, ultrafast spectroscopy is employed to elucidate the excited state dynamics of a sulfone-embedded narrowband emitter, 2tCPD. An intrins