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Examining the effects of ChatGPT on tourism and hospitality student responses through integrating technology acceptance model

ChatGPT has gained increased attention as an artificial intelligence (AI)-based tool in the field of tourism and hospitality education in recent years. This study investigates the impact of perceived ease of use, perceived usefulness and authenticity on student attitude and intention to use ChatGPT by incorporating the concept of authenticity into the technology acceptance model (TAM) theoretical

The National Swedish Lymphoma Register – a systematic validation of data quality

Background and purpose: The Swedish Lymphoma Register (SLR) was initiated in the year 2000 with the aim to monitor quality of care in diagnostics, treatment and outcome of all lymphomas diagnosed nationally among adults. Here, we present the first systematic validation of SLR records as a basis for improved register quality and patient care. Patients and methods: We evaluated timeliness and comple

Plasmodium falciparum transmission based on merozoite surface protein 1 (msp1) and 2 (msp2) gene diversity and antibody responses in Ibadan, Nigeria

Background: Nigeria is a major contributor to the global malaria burden. The genetic diversity of malaria parasite populations as well as antibody responses of individuals in affected areas against antigens of the parasite can reveal the transmission intensity, a key information required to control the disease. This work was carried out to determine the allelic frequency of highly polymorphic Plas

Endomucin marks quiescent long-term multi-lineage repopulating hematopoietic stem cells and is essential for their transendothelial migration

Endomucin (EMCN) currently represents the only hematopoietic stem cell (HSC) marker expressed by both murine and human HSCs. Here, we report that EMCN+ long-term repopulating HSCs (LT-HSCs; CD150+CD48−LSK) have a higher long-term multi-lineage repopulating capacity compared to EMCN− LT-HSCs. Cell cycle analyses and transcriptional profiling demonstrated that EMCN+ LT-HSCs were more quiescent compa

SILMAS Structured Illumination Light-sheet Microscopy with Axial Sweeping: 3D imaging of brain tissue

Modern healthcare allows people to live longer and healthier lives. However, as the average lifespan increases, age-related diseases are becoming more prevalent. Neuroscientists are therefore increasingly focused on understanding and developing treatments for neurodegenerative disorders, such as Alzheimer's and Parkinson's disease. These conditions are characterized by progressive neuronal degener

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