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Memory State Dynamics in BEOL FeFETs : Impact of Area Ratio on Analog Write Mechanisms and Charging

This work presents dynamic state writing by combining ferroelectric (FE) polarization together with charge injection (CI) on Si-based ferroelectric MOSFETs as a novel approach for non-volatile memory design. FE capacitors are non-destructively integrated in the Back-End-of-Line (BEOL) with Si MOSFETs to create FE-Metal-FETs (FeMFETs). We explore the FE/MOS area ratio (AR) as a critical design para

Tracing Chemical Alterations in Cancer Cells and Tissues

Cancer is a leading cause of death worldwide, with approximately ten million people dying from the disease each year. In most cases, cancer metastasizes to distant organs and develops resistance to therapy, highlighting the need for novel biomarkers for early detection. This thesis investigates the role of lipid metabolism changes, particularly involving cholesterol and related lipid species, as e

Model-Fitting Weighted Least Squares as an alternative to Principal Component Analysis for Analyzing Energy-Dispersive X-ray Spectroscopy Spectrum Images

Spectrum imaging with energy-dispersive X-ray spectroscopy (EDS) has become ubiquitous in material characterization using electron microscopy. Multivariate statistical methods, commonly principal component analysis (PCA), are often used to aid analysis of the resulting multidimensional datasets; PCA can provide denoising prior to further analysis or grouping of pixels into distinct phases with sim

In-cycle evolution of thickness and roughness parameters during oxygen plasma enhanced ZnO atomic layer deposition using in situ spectroscopic ellipsometry

We investigate the time evolution of ZnO thin film growth in oxygen plasma-enhanced atomic layer deposition using in situ spectroscopic ellipsometry. The recently proposed dynamic-dual-box-model approach [Kilic et al., Sci. Rep. 10, 10392 (2020)] is used to analyze the spectroscopic data post-growth. With the help of this model, we explore the in-cycle surface modifications and reveal the repetiti

Circulating Proneurotensin Levels Predict Impaired Bone Mineralisation in Postmenopausal Women With Type 2 Diabetes Mellitus

Context: The mechanisms underlying bone fragility and increased fracture risk observed in individuals with type 2 diabetes (T2D) are not yet fully elucidated. Previous research has suggested a role for neuropeptides in regulating bone metabolism; however, the contribution of the neuropeptide Neurotensin (NT), which is thoroughly implicated in T2D and cardiovascular disease, has not been investigat

In Situ X-Ray Study During Thermal Cycle Treatment Combined with Complementary Ex Situ Investigation of InGaN Quantum Wells

In situ X-ray reciprocal space mapping was performed during the interval heating and cooling of InGaN/GaN quantum wells (QWs) grown via metal–organic vapor phase epitaxy (MOVPE). Our detailed in situ X-ray analysis enabled us to track changes in the peak intensities and radial and angular broadenings of the reflection. By simulating the radial diffraction profiles recorded during the thermal cycle

In Situ Growth of GaP Nanowires with Alternative Seed Materials

The growth of III-V nanowires has attracted significant attention due to their superior electrical and optical properties, which are crucial for advanced optoelectronic devices such as lasers and photonic circuits. Since the 1960s, Au has beenextensively used as a catalyst for III-V nanowire growth, with substantial research conducted through both ex situ and in situ techniques. However, Au introd

Unfolding the Mystery of Autoimmunity : The Environmental Determinants of Diabetes in the Young (TEDDY) Study

In 2025, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) at the National Institutes of Health celebrates 75 years of leadership in diabetes research. The NIDDK serves people of the U.S. affected by or at risk for many chronic diseases, including diabetes and other endocrine, metabolic, and digestive disorders, by funding innovative research to develop better treatment

Current noise in quantum dot thermoelectric engines

We theoretically investigate a thermoelectric heat engine based on a single-level quantum dot, calculating average quantities such as current, heat current, output power, and efficiency, as well as fluctuations (noise). Our theory is based on a diagrammatic expansion of the memory kernel together with counting statistics, and we investigate the effects of strong interactions and next-to-leading or

Theory of transport in lowdimensional nanostructures

This thesis theoretically investigates electronic transport in different low dimensional nanostructures. The miniaturization of electronics means that we reach a limit where quantum effects play a role in electronic devices. To understand and improve electronics at this level it is important to understand the transport properties. Excellent control over the nanostructures also makes them a great p

A balancing act : towards a conceptual framework for the governance of buyer-supplier relationships in defence supply chains

Against the backdrop of the current geopolitical situation, logistics preparedness emerges as a pivotal area of focus for defence supply chains. Despite the critical role of commercial suppliers, research on utilising these in defence logistics and supply chains remains scarce. Adopting a supply chain governance lens, we have conducted a systematic literature review to provide an overview of exist

Sphingosine-1-Phosphate, a Marker of Endothelial Injury and Disease Severity in Preeclampsia

BACKGROUND: Preeclampsia is a hypertensive pregnancy disorder marked by endothelial damage. Healthy endothelium is covered by a protective glycocalyx layer, which, when degraded, releases detectable products into the blood. Sphingosine-1phosphate (S1P) is a cardiovascular biomarker involved in glycocalyx preservation, linked to placentation and preeclampsia development. The study aimed to test the

Ambitions and obstacles for evidence-based municipal primary healthcare - a mixed- methods study

BackgroundResearch is limited on registered healthcare professionals (RHCP) usage of research and evidence-based practice (EBP) in Swedish municipal primary healthcare work.Aim/ObjectivesThe aim of this study was to increase the understanding of experiences, attitudes, and conditions of usage of research and implementation of EBP among RHCPs in a Swedish municipality setting. Further, the study ai

Halogen-Bonded Hole-Transport Material Enhances Open-Circuit Voltage of Inverted Perovskite Solar Cells

Interfacial properties of a hole-transport material (HTM) and a perovskite layer are of high importance, which can influence the interfacial charge transfer dynamics as well as the growth of perovskite bulk crystals particularly in inverted structure. The halogen bonding (XB) has been recognized as a powerful functional group to be integrated with new small molecule HTMs. Herein, a carbazole-ba

Exposure to antibiotics and risk of latent autoimmune diabetes in adults and type 2 diabetes : results from a Swedish case–control study (ESTRID) and the Norwegian HUNT study

Aims/hypothesis: Some studies find an increased risk of type 1 diabetes in children exposed to antibiotics. We investigated if exposure to antibiotics increases the risk of latent autoimmune diabetes in adults (LADA) and type 2 diabetes. Methods: We used data from a Swedish case–control study (Epidemiological Study of Risk Factors for LADA and Type 2 Diabetes [ESTRID]: LADA, n=597; type 2 diabetes

Semiconductor nanowires and sub-micrometer platelets for nitride-based nano-LED applications

Nano-LEDs, with sizes smaller than 1 μm and close to sub-wavelengths, have received increasing attention because of their potential applications in next-generation self-emissive displays, visible light communication, optogenetics, maskless lithography, on-chip super-resolution microscopy, etc. In contrast to the top-down fabrication of nano-LEDs, where the efficiency drop caused by dry-etching rel

Sub-100 fs Formation of Dark Excitons in Monolayer WS2

Two-dimensional semiconducting transition metal dichalcogenides are promising materials for optoelectronic applications due to their strongly bound excitons. While bright excitons have been thoroughly scrutinized, dark excitons have been much less investigated, as they are not directly observable with far-field spectroscopy. However, with their nonzero momenta, dark excitons are significant for ap

SRPNet : stroke risk prediction based on two-level feature selection and deep fusion network

Background: Stroke is one of the major chronic non-communicable diseases (NCDs) with high morbidity, disability and mortality. The key to preventing stroke lies in controlling risk factors. However, screening risk factors and quantifying stroke risk levels remain challenging. Methods: A novel prediction model for stroke risk based on two-level feature selection and deep fusion network (SRPNet) is

Importance of individual residues in hydrophobic patch PLVIVGL (1481-1487) in FV-Short for synergistic TFPIα cofactor activity with protein S, an alanine-scanning study: AlphaFold-mediated prediction of FV-Short/TFPIα/protein S trimolecular complex structure

BackgroundIn the splice variant factor (F)V-Short, 702 residues are deleted from the B domain, resulting in exposure of an acid region (AR2; 1493-1537) that binds TFPIα. FV-Short and protein S serve as synergistic TFPIα cofactors in inhibition of FXa. In the preAR2 region, a hydrophobic patch PLVIVGL (1481-1487) is crucial for synergistic TFPIα-cofactor activity and assembly of FV-Short, TFPIα, an