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GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets

Volatility, which indicates the dispersion of returns, is a crucial measure of risk and is hence used extensively for pricing and discriminating between different financial investments. As a result, accurate volatility prediction receives extensive attention. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and its succeeding variants are well established models for stoc

Predicting troponin biomarker elevation from electrocardiograms using a deep neural network

Background Elevated troponin levels are a sensitive biomarker for cardiac injury. The quick and reliable prediction of troponin elevation for patients with chest pain from readily available ECGs may pose a valuable time-saving diagnostic tool during decision-making concerning this patient population. Methods and results The data used included 15 856 ECGs from patients presenting to the emergency r

Effectiveness of nutritional education intervention during pregnancy on birth outcomes in sub-Saharan Africa : a protocol for a systematic review and meta-analysis

Introduction Nutritional education intervention during pregnancy is the process of teaching pregnant women about the importance of a healthy diet and how to make healthy food choices. It is an important part of public health and vital to preventing adverse birth outcomes. Therefore, synthesising available evidence on the effect of nutritional education intervention on birth outcomes is essential f

Modeling and Control of Pharmacological Systems

Personalized patient care has gained increasing attention in recent years. Precise drug dosing is critical for patient safety and good clinical outcomes, especially in intensive care units, where patients often are in critical conditions. Such treatments can include stabilizing blood pressure and heart rate or maintaining safe anesthesia levels. However, the inter-patient variability in the drug r

Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder : Preregistered Development and Usability Study Using Natural Language Processing

Background: Words are a natural way to describe mental states in humans, while numerical values are a convenient and effective way to carry out quantitative psychological research. With the growing interest of researchers in gaming disorder, the number of screening tools is growing. However, they all require self-quantification of mental states. The rapid development of natural language processing

Chalcogen Impurities in Silicon

If an atom of the host lattice in silicon is replaced by an atom belonging to the fifth group in the periodic table, the potential binding the extra electron to the impurity atom can, in most cases, be approximated by a hydrogen-like potential. 1 This gives rise not only to an energy level in the band gap for the impurity ground state, but, in addition, also to a series of excited states. In silic

Elevated Galectin-3 levels in the tumor microenvironment of ovarian cancer – implication of ROS mediated suppression of NK cell antitumor response via tumor-associated neutrophils

Introduction: Ovarian cancer is a lethal disease with low survival rates for women diagnosed in advanced stages. Current cancer immunotherapies are not efficient in ovarian cancer, and there is therefore a significant need for novel treatment options. The β-galactoside-binding lectin, Galectin-3, is involved in different immune processes and has been associated with poor outcome in various cancer

Livstidsdomen för morden på Malmö Latinskola kan prövas av HD

I september 2022 blev den elev som dödat två lärare på Malmö Latinskola den första 18-åringen att dömas till livstids fängelse. Tova Bennet, juris doktor i straffrätt, menar att målet har flera aspekter som kan motivera en prövning i högsta instans.

(Re)Conceptualizing Covenantal Pluralism in Georgia : Interfaith Dynamics on Orthodox Terms

This article critically examines the dual role of the Georgian Orthodox Church (GOC) as both a cultural guardian of national identity and a barrier to covenantal pluralism in Georgia. Drawing on legal-financial and comparative-historical analysis, it demonstrates how the GOC’s institutional dominance perpetuates systemic inequalities, including disproportionate state funding, inequitable property

Driving Operational Excellence: The Role of Technology-Organization-Environment Framework in Lean Six Sigma Integrated Industry 4.0 Adoption

Adopting technological innovations is crucial for organizations to survive in dynamic and competitive market scenarios. Moreover, it is essential to understand the customer needs and respond accordingly. The present research makes use of Technology-Organization-Environment (TOE) framework for Lean Six Sigma Integrated Industry 4.0 (LSSI) adoption. Scholarly literature shows that adopting LSSI dras

On Performance Guarantees for Systems with Conic Constraints

In this thesis, we provide a number of novel algebraic means of certifying stability and performance for linear systems constrained in various ways by cones. The purpose is mainly threefold: to provide mathematical statements with applicative potential, to unify seemingly dissimilar results in the literature and thereby increase understanding, and to advance the state of the art on dynamical syste

Connected Autonomous Driving Using Reconfigurable Intelligent Metasurfaces

Beyond 5G/6G communication systems promise to significantly impact the development of a New Generation of CCAM. Reconfigurable Intelligent Metasurfaces (RIM) are by now established as a key enabling technology for 6G Systems. They have been extensively investigated the last few years, as they possess exotic properties allowing for precise control over any aspect of an impinging wave. As such, they

Global Solution to an H-infinity Control Problem with Input Nonlinearity

This paper gives a global solution to an H-infinity control problem for systems with symmetric state matrix and state-dependent input matrix. A simple, closed-form expression for the minimizing controller is obtained. This is in contrast to already established theory in which nonlinear H-infinity problems are solved locally. The result is then illustrated through an example, and the potential for

A Cone-preserving Solution to a Nonsymmetric Riccati Equation

In this paper, we provide the following simple equivalent condition for a nonsymmetric Algebraic Riccati Equation to admit a stabilizing cone-preserving solution: an associated coefficient matrix must be stable. The result holds under the assumption that said matrix be cross-positive on a proper cone, and it both extends and completes a corresponding sufficient condition for nonnegative matrices i