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The 244Pu(48Ca,xn)292-xFl reaction was investigated at Lawrence Berkeley National Laboratory's 88 Inch Cyclotron using the Berkeley Gas-filled Separator (BGS), the newly installed SuperHeavy RECoil (SHREC) detector, along with an upgraded digital electronics and data acquisition system. Seven decay chains were observed starting with an evaporation residue (EVR) followed by a single α decay and a s
The pathogenesis of appendicitis is not fully understood. This study aimed to evaluate the associations between serum IgA and pediatric appendicitis. A prospective cohort study in which children ≤ 15 years with suspected appendicitis were enrolled at the Pediatric Emergency Department during 2017–2021. Blood samples were analyzed for serum IgA concentrations. Primary outcomes were appendicitis and
While Generative Artificial Intelligence (GAI), particularly tools powered by Large Language Models (LLMs), offer benefits in teaching and learning, they also raise critical concerns about academic integrity, fairness in examinations d ue to their potential for generating educational content. This evolving landscape requires higher education institutions to rethink their assessment models, e
Rapidly evolving academic and professional environments require essential skills such as communication, collaboration, creativity and critical thinking, which are not typically learned and assessed explicitly in formal education. These skills encompass a significant part of the competencies and are increasingly valued in an AI-driven workforce because they cannot be easily replicated by machines.
Om de olympiska spelens äldsta historia
Performing a controlled glide of an Airbus A320 following an all-engine failure at cruising altitude is a highly demanding task for pilots. This study investigates whether judgement heuristics can enhance pilot performance in managing this scenario. While the existing ALL ENG FAIL Airbus procedure provides valid guidance, it offers disconnected navigational inputs to the pilots. This simulator-bas
Since the ratification of the Kyoto Protocol, the signing of the Paris Agreement, the adoption of the Sustainable Development Goals, and the New Urban Agenda, there has been a major growth of urban involvement in addressing sustainability challenges. This has sparked a thriving era for city governments around the world to engage with urban experimentation that aims to enable transformations toward
This guidebook offers practice‑oriented guidance for initiating, developing, and sustaining collaborative housing projects across Europe. Building on the EU‑funded CO‑HOPE (Collaborative Housing in a Pandemic Era) research project and its Urban Living Lab, it synthesizes insights from the planning processes of studied collaborative housing initiatives. Grounded in participatory workshops with resi
Three-dimensional finite element (FE) models derived from Computed Tomography (CT) images predict hip fractures better than areal bone mineral density measurements from Dual-energy X-ray Absorptiometry (DXA). Yet, these results have not justified the adoption of CT in clinical practice, and only 2D DXA images are clinically available. Statistical shape and appearance models can be used to reconstr
INTRODUCTION: The optimal depth for decompression stops is unclear. We hypothesize that a decompression stop at 1.3 bar, compared with 1.6 bar, decreases post-dive whole-body nitrogen washout volumes and venous gas emboli (VGE).METHODS: In this randomized crossover trial, divers performed wet air dives of 40 minutes at 3.4 bar (340 kPa) with a seven-minute-long decompression stop at either 1.3 bar
This research explores the climate vulnerability of migrant farmworkers within the climate-sensitive commercial agriculture of the Mediterranean Basin, through a case study of Turkey. In Turkey a vast majority of the farmworkers belong to Kurdish and Arab ethnic groups, including internally displaced people (IDPs) and Syrians. Utilising a critical political economy approach to vulnerability and sy
For this project, machine learning and cutting-edge remote sensing technologies are used to create a geospatial mapping and monitoring system for agricultural pest and disease outbreaks. By combining satellite data, unmanned aerial vehicle hyperspectral evaluation, and environmental factors, the system can identify the spread of pests and diseases in real time. Data evaluation and outbreak predict
Cells grow by acquiring external resources and transforming them internally, forming new cells as they divide. Metabolic networks focus on the flow of such resources within the cell as they undergo series of biochemical reactions. How population growth emerges from these complex dynamical networks remains unclear. Modeling the emergence of population growth, a central ecological concept, is thus e
Climatic factors and water and land use management mainly impact dust storm frequency and intensity. Water scarcity and a drier climate will lead to more severe and frequent dust storms in the near and far future. This makes dust storm susceptibility a dynamic phenomenon requiring spatiotemporal analyses. Regarding the complexity of this phenomenon, this chapter discusses AI-based methods for spat
Drought and the condition of water scarcity lead to several socio-economic, social and environmental impacts. Whatever the approaches of drought management, policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity. In recent years, artificial intelligence-based and earth observation approaches have been progressively d
Objectives: Mammographically spiculated breast cancer is frequently less aggressive than cancers with alternative appearances. This study aims to investigate whether the degree of spiculations relative to the tumor mass on mammography, termed the spic mass ratio (SMR), is associated with breast cancer characteristics and survival. Materials and methods: This retrospective exploratory single-center
As a subset of hydrological drought, groundwater drought arises from the specific features of aquifers and human-induced changes in the hydrological system. Because of the complexity of these underground systems and difficulties in obtaining field measurements, modern approaches such as machine learning and remote sensing have become popular tools for monitoring and forecasting. This chapter emplo
Water scarcity is a global problem and refers to a situation where the demand for water exceeds the available quantity over a given period or if sufficient water is available, the quality of the water is poor and its use is limited. The issue of water scarcity is very complex and is affected by a wide range of natural and anthropogenic factors. Water scarcity can arise from different aspects: (i)
