Sökresultat

Energy management in urban areas is challenging due to diverse energy users, dynamics environmental conditions, and the added complexity and instability of extreme weather events. We incorporate adaptive reinforcement learning (ARL) into energy management (EM) and introduce a novel approach, called ARLEM. An online, value-based, model-free ARL engine is designed that updates its policy periodicall

To increase women’s interest in STEM (Science, Technology, Engineering and Mathematics), interventions that target self-efficacy and belongingness are needed. For this purpose, this study designed and tested two interventions. In Study 1, we tested if a video with female role models increases young women’s expected belongingness and interest in engineering. In Study 2, we tested if positive feedba

The distinguishing feature of frequency diverse array (FDA) systems as compared to conventional phased-array and multiple-input multiple-output (MIMO) radar systems is the use of a small frequency offset (FO) across the array elements. Much of the development to date has focused on the FDA-MIMO structure, using an FO that is larger than the bandwidth of the baseband signal, thereby reducing the re

High-throughput screening (HTS) three-dimensional (3D) tumor models are a promising approach for cancer drug discovery, as they more accurately replicate in vivo cell behavior than two-dimensional (2D) models. However, assessing and comparing current 3D models for drug efficacy remains essential, given the significant influence of cellular conditions on treatment response. To develop in vivo mimic

One possible solution to reduce noise resulting from tyre-pavement interaction is to use a porous pavement surface. A porous surface will reduce noise by decreasing air pressure gradients in the tyre-pavement contact as well as by decreasing the acoustical impedance of the road surface and reducing the horn effect. While reducing noise, other functional aspects of a pavement such as abrasion wear

In this research, we develop three statistical based control charts: the Hotelling's T2, MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio test) as well as three machine learning (ML) based control charts: the ANN (artificial neural network), SVR (support vector regression), and RFR (random forest regression), for monitoring generalized linear model (GLM) profil

The judgments of the European Court of Human Rights manifest a mixture of factual and legal causation, when the Court reasons whether omissions should be the basis for breach of positive obligations under the European Convention on Human Rights. However, considerations that can be generally framed as normative govern the reasoning, which implies domination of legal causation. Yet, the Court still

The emergency department is a stressful environment, in which physicians are required to make fast and accurate diagnostic assessments amidst an ever increasing flood of clinical information, including a growing body of medical knowledge. Meanwhile, the digitization of medical health records in combination with recent breakthroughs in Artificial Intelligence is ushering in a new era of precision m

Aquifer classification plays a pivotal role in understanding groundwater dynamics and informing sustainable water resource management, especially in regions under significant stress from over-extraction. This study presents a novel remote sensing-based methodology for classifying aquifers represented by monitoring wells within the study area. The approach integrates stress-strain analysis, incorpo

The study is devoted to the development of the 2DCAM hardware and software complex for the physical modeling of the two-coordinate positioning system of the additional video camera of the UAV using the Simulink environment. DYNAMIXEL actuator systems were used to create a complex prototype. They combine DC motor, reduction gearhead, controller, driver and network components.The AH-12A actuator is

Idag lever allt fler människor under förhållanden som definieras som prekära. Även i avancerade välfärdssamhällen lyckas inte de traditionella trygghetssystemen erkänna och hantera de nya sociala risker som dessa grupper inom ”prekariatet” ställs inför. Bland dessa grupper finner vi migrantkvinnor med osäker rättslig ställning. Denna forskning undersöker hur aktörer i akademin och i civilsamhälletIn advanced welfare societies, traditional welfare programs are failing to recognize and respond to new social risks faced by groups in precarious life situations, including migrant women. This research explore how actors in academic and civil society settings recognize and frame the struggles of migrant women with precarious legal status, particularly in terms of gender-based violence (GBV) and a

This study presents a digital solution for inducing visually-induced motion sickness (VIMS) using a head-mounted display (HMD) in a virtual environment. By digitally replicating off vertical axis rotation by adopting the Epley Omniax Chair, we induce sensory conflicts between the visual and vestibular systems through rotational vection, alongside optokinetic stimulation inspired by the Optoki-neti

Interpretation of data from faint dwarf galaxies is made challenging by observations limited to only the brightest stars. We present a major improvement to tackle this challenge by undertaking zoomed cosmological simulations that resolve the evolution of all individual stars more massive than 0.5 M⊙, thereby explicitly tracking all observable stars for the Hubble time. For the first time, we predi

Studying the behavior of multiple participants using networked eye-tracking setups is of increasing interest to researchers. However, to conduct such studies, researchers have had to create complicated ad hoc solutions for streaming gaze over a local network. Here we present TittaLSL, a toolbox that enables creating networked multi-participant experiments using Tobii eye trackers with minimal prog

Accurate quantification in emission tomography is essential for internal radiopharmaceutical therapy dosimetry. Mean activity concentration measurements in objects with diameters less than 10 times the full width at half maximum of the imaging system’s spatial resolution are significantly affected (>10%) by the partial-volume effect. This study develops a framework for PET and SPECT spatial resolu

A critical challenge in developing anion exchange membrane (AEM) water electrolysis is to design high-performance AEMs with chemical and mechanical stability under harsh alkaline environments. Herein, we report the rational design and synthesis of QP(T-3-Pip) featuring flexibly linked isomeric piperidinium cations via a Friedel-Crafts polyhydroxyalkylation between terphenyl and commercial 3-piperi

Phlorotannins, the polyphenols mostly found in brown seaweeds, have attracted high attention from the pharmaceutical industry in recent years due to their antioxidant, antibacterial, and anti-inflammatory activities. These properties make them desirable to be utilized in a wide range of therapeutics. Despite their importance, several challenges make their extractability and identification complex,

The presence of microplastics (MPs) in water represents a current problem for marine life and a future serious issue for human health. This is pushing towards new approaches for the removal of MPs and, hence, their characterization and evaluation, which up to now has represented a limit for tentative procedures for their degradation. Herein, we reported on a new facile, in situ and non-destructive