This thesis delves into the complex architecture of dynamic sensory information processing in the neocortex. Specifically, it asks how primary sensory cortical regions are influenced by local and widespread cortical state changes. Central to this question is the exploration of two historically opposing information processing frameworks emphasizing a local and global information processing principl

The lead intervention article argues that the new reality of the planetary organic crisis awaits a normative critical social theory of planetary politics, a means of understanding the sharing of relationships within International Relations and an agenda for action in concert found in the normative power approach. The article and subsequent 20th anniversary special issue provide an opportunity to r

Recognising the need for objective imaging-based technologies to assess wound healing in clinical studies, the suction blister wound model offers an easily accessible wound model that creates reproducible epidermal wounds that heal without scarring. This study provides a comprehensive methodology for implementing and evaluating photography-based imaging techniques utilising the suction blister wou

This paper uses longitudinal establishment-level data to trace the rise of the factory during Sweden's industrialization between 1864 and 1890. We document a sharp shift from the small artisan shop to the mechanized factory, which can largely be ascribed to differences in survival. Whilst non-mechanized establishments could compete with the factory during early industrialization, a distinct surviv

The retrieval of the original image quality is always a challenging task in the area of image processing. A huge number of techniques were used to denoising the image. A new approach is proposed for eliminating salt and paper noise. The methodology suggested is based on a different median filter applied. This paper describe the methodology and logical notations of purposed technique and finally im

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear inter

Context. The age, evolution, and chemical properties of the Galactic disk can be effectively ascertained using open clusters. Within the large program Stellar Populations Astrophysics at the Telescopio Nazionale Galileo, we specifically focused on stars in open clusters, to investigate various astrophysical topics, from the chemical content of very young systems to the abundance patterns of lesser

A key element for successful blood transfusion is compatibility of the patient and donor red blood cell (RBC) antigens. Precise antigen matching reduces the risk for immunization and other adverse transfusion outcomes. RBC antigens are encoded by specific genes, which allows developing computational methods for determining antigens from genomic data. We describe here a classification method for de

This paper presented an object restoration approach in which images are influenced by the salt & pepper noise replaced by a median filter based on fuzzy logic. A Modified Firefly Optimization Algorithm (MFOA) is used to restore the images based on the Richardson-Lucy algorithm. Denoising, as well as restoring the image, is effectively demonstrated. Compared to current denoising filtered, PSO (

Previously, there were physically operated hand dispensers that needed to be contacted every time we needed to apply the sanitizer. Due to the outbreak of the COVID-19, the importance of alcohol-based sanitizers has come up. As there are chances of spreading the viruses through contact surfaces, foot-operated dispensers have been developed to avoid contact between hands and hand dispensers. For th

Many filters such as triple-band filter, multiband filter, UWB filter, and notch band filters have been investigated in recent decades [1]. Bandpass filters with the features of good performance, micro-package, ease of use, and low cost have been the focus of device miniaturization. However, most of these UWB filters with band-notched have been designed by using various slots either in the ground

Background and aims: Endoscopic retrograde cholangiopancreatography (ERCP) procedures can result in significant patient radiation exposure. This retrospective multicenter study aimed to assess the influence of procedural complexity and other clinical factors on radiation exposure in ERCP. Methods: Data on kerma-area product (KAP), air-kerma at the reference point (Ka,r), fluoroscopy time, and the

Experimentation has been considered critical for successful software product and business development, including in video game startups. Video game startups need “wow” qualities that distinguish them from the competition. Thus, they need to continuously experiment to find these qualities before running out of time and resources. In this study, we aimed to explore how these companies perform experi

Milk is a nutrient-dense fluid which is essential for a healthy balanced diet. Thermal processing is the dominating approach in the dairy industry to ensure food safety, however, heat treatment can alter both the composition and quality of the milk. The aim of this thesis has been to evaluate the effects of various processing technologies on the nutrient content and physical properties of milk and

The Bible appears regularly in Margaret Atwood’s novels, from The Edible Woman in 1969 to The Testaments in 2019. Atwood’s characters do not tend to be religious, but like most people in the Western world, they encounter the Bible in schools, at funerals, in headlines, advertisements, and occasionally from religious people themselves. Atwood’s Bible is a Christian Bible, the references running fro

Northern peatlands, spanning across vast regions of the northern hemisphere, are critical carbon reservoirs essential for global carbon cycling and climate regulation. Their dual role as long-term atmospheric carbon dioxide (CO2) sinks and the largest natural source of methane (CH4) in the northern hemisphere allows them to accumulate more carbon than they emit, helping to mitigate the rise in atm

Artificiell intelligens används för att känna igen detaljerade vägnätverk med hjälp av flygfotografi och data från OpenStreetMap. Modellen kan känna replikera körfiler och deras riktning, men inte alltid hur dessa ansluter vid korsningar. Utmaningen med att skapa detaljerade kartor Att ha tillgång till detaljerade och korrekta digitala kartor över transportnätverk är avgörande för områden som navAccess to detailed network data is often constrained by access-controlled datasets or by extensive manual labour. This study addresses the challenge by proposing a novel approach to extract lane-level road topology graphs at signalised intersections. The aim is to predict intersection topologies directly from aerial imagery and a simplified OpenStreetMap road-level graph using neural networks, bri

Objective: To investigate the feasibility of using neutron tomography to gain new knowledge of human articular cartilage degeneration in osteoarthritis (OA). Different sample preparation techniques were evaluated to identify maximum intra-tissue contrast. Design: Human articular cartilage samples from 14 deceased donors (18–75 years, 9 males, 5 females) and 4 patients undergoing total knee replace