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Sound of Democracy : Towards the democratisation of standards for soundscapes

With this paper and the accompanying audio paper, our aim is to explore the juxtaposition of sound and democracy. Recognizing the multifaceted nature of this field, we approach it through the notion of care and an empirical analysis of democratic implications oftrying to regulate sound in public spaces. We examine standards as one example of the many attempts to control sound in both public and pr

Noise without Noise : Art interventions in a Southeast Asian city

The experimental music community Jogja Noise Bombing based in the Indonesian city of Yogyakarta has for more than a decade experimented with pop-up performances of harsh noise music played on DIY instruments in urban spaces. These urban spaces, however, tend themselves to be very “noisy”. Since 2018, we – a musicologist and an anthropologist - have followed these performances online and through fi

Hospital readmissions among people with intellectual disabilities compared to the general population: a longitudinal register study (IDcare)

Background: People with Intellectual disabilities (ID) have more healthcare utilization, especially unplanned inpatient care. One reason could be too early hospital discharges, resulting in readmissions. This is an important aspect of quality of care that has not been thoroughly assessed among people with ID. Aim: To investigate readmission to hospital within 30 days among people with ID compared

Utan biologisk mångfald har människan ingen framtid - inför en naturlag

Debatt Förlusten av arter och livsmiljöer är ett växande hot mot mänskligheten, precis som klimatförändringarna. Sverige behöver en samlad politik för naturen, med en naturlag, ett naturpolitiskt mål och naturpolitiskt råd – motsvarande det klimatpolitiska ramverket. Det skulle ge frågan den prioritet som krävs för att stoppa och vända förlusten av biologisk mångfald och säkra de naturnyttor vi är

Tuning the Emission of Bis-ethylenedioxythiophene-thiophenes upon Aggregation

The ability of small lipophilic molecules to penetrate the blood-brain barrier through transmembrane diffusion has enabled researchers to explore new diagnostics and therapies for brain disorders. Until now, therapies targeting the brain have mainly relied on biochemical mechanisms, while electrical treatments such as deep brain stimulation often require invasive procedures. An alternative to impl

Firescape politics of wildfires in the Mediterranean : Example from rural Tuscany, Italy

Increase in wildfires has changed parts of the landscape and ecosystems of the Mediterranean region. By using the firecapes approach, this paper aims to establish a connection between wildfires as a natural phenomenon and the political dynamics surrounding land ownership, knowledge, and mitigation. Theoretically, we apply political ecology to contextualize firescapes by examining the historical pr

Sensory feedback in upper limb prosthetics : advances and challenges

Advanced sensory feedback from upper limb prostheses would provide multiple benefits to people with upper limb amputations, but achieving functional and natural-feeling sensation is technologically challenging. Advances are being made with invasive and non-invasive stimulation approaches, but considerable challenges need to be addressed with technological innovation.

Screening Targets and Therapeutic Drugs for Alzheimer's Disease Based on Deep Learning Model and Molecular Docking

Background: Alzheimer's disease (AD) is a neurodegenerative disorder caused by a complex interplay of various factors. However, a satisfactory cure for AD remains elusive. Pharmacological interventions based on drug targets are considered the most cost-effective therapeutic strategy. Therefore, it is paramount to search potential drug targets and drugs for AD. Objective: We aimed to provide novel

Disability and long-term breathlessness : A cross-sectional, population study

Introduction Disability, resulting from altered interactions between individuals and their environment, is a worldwide issue causing inequities and suffering. Many diseases associated with breathlessness cause disability but the relationship between disability and the severity of breathlessness itself is unknown. This study evaluated associations between disability using the WHO's Disability Asses

Bee-inspired insights : Unleashing the potential of artificial bee colony optimized hybrid neural networks for enhanced groundwater level time series prediction

Analysis of the change in groundwater used as a drinking and irrigation water source is of critical importance in terms of monitoring aquifers, planning water resources, energy production, combating climate change, and agricultural production. Therefore, it is necessary to model groundwater level (GWL) fluctuations to monitor and predict groundwater storage. Artificial intelligence-based models in

Early Prostate Cancer Deaths among Men with Higher vs Lower Genetic Risk

Importance: Prostate cancer, a leading cause of cancer death among men, urgently requires new prevention strategies, which may involve targeting men with an underlying genetic susceptibility. Objective: To explore differences in risk of early prostate cancer death among men with higher vs lower genetic risk to inform prevention efforts. Design, Setting, and Participants: This cohort study used a c

Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification

The open-source parameter identification tool ADAPT (A diversely applicable parameter identification Tool) is integrated with a machine learning-based approach for start value prediction in order to calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative example case-hardened steel 16MnCrS5 is elaborated. An artificial neural network (ANN) is initially trained b

Aqueous Ammonium Nitrate Investigated Using Photoelectron Spectroscopy of Cylindrical and Flat Liquid Jets

Ammonium nitrate in aqueous solution was investigated with synchrotron radiation based photoelectron spectroscopy using two types of liquid jet nozzles. Electron emission from a cylindrical microjet of aqueous ammonium nitrate solution was measured at two different angles relative to the horizontal polarization of the incident synchrotron radiation, 90° and 54.7° (the “magic angle”), for a range o

COCONUT SHELLS, WATER HYACINTH, AND RICE IN IMPROVING THE QUALITY OF DUG WELL WATER IN FLOOD AREAS

Introduction: Ensuring access to clean and safe drinking water is crucial, especially in flood-prone regions where the water quality in dug wells can deteriorate due to various physicochemical factors. This research was aimed to measure the effectiveness of natural materials in improving water quality based on physicochemical parameters and to compare water quality before and after treatment in As

Photofragmentation laser-induced fluorescence imaging of CH3 by structured illumination in a plasma discharge

Methyl is crucial in plasma-assisted hydrocarbon chemistry, making precise in situ imaging essential for understanding various plasma applications. Its importance in methane chemistry arises from its role as a primary byproduct during the initial phase of methane dehydrogenation. Detecting the CH3 radical is challenging due to its high reactivity and the prevalence of strongly pre-dissociative ele

Data on the saturation behaviour of the 63-90 µm quartz from the Carpathian Basin

This dataset offers valuable insights into the luminescence saturation behaviour of 63–90 µm quartz grains sourced from the Carpathian Basin, as examined under controlled laboratory conditions. Its significance lies not only in shedding light on the luminescence properties specific to this region but also in facilitating comparative analyses with quartz samples from other geographic areas. Moreove