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Many people use conspiracy theories to make sense of a changing world and its ever more complexif social structures (e.g., international financial systems, global bodies of governance), tragic events (e.g., terrorist attacks, man-made catastrophes, or natural disasters), or socio-political and economic issues (e.g., security, migration, distribution of resources, health care). The widespread flour
Trauma is a highly topical subject of growing relevance in different contexts and scientific traditions that deal with societal challenges and transformation. At the same time, knowledge on different understandings of trauma is still scarce and scattered across disciplines. Against this background, we present and discuss the complexity of trauma understandings from five selected disciplinary persp
BACKGROUND: Accessibility to surgical services can impact earthquake preparedness and response. We aimed to estimate the population with timely access to surgical care in Guerrero, a Mexican state with high tectonic activity, and identify populations at risk in the event of an earthquake.METHODS: We conducted an ecological study using open government data. We extracted data from Guerrero municipal
Similarity measurement has been a prevailing research topic in geographic information science. Geometric similarity measurement in scaling transformation (GSM_ST) is critical to ensure spatial data quality while balancing detailed information with distinctive features. However, GSM_ST is an uncertain problem due to subjective spatial cognition, global and local concerns, and geometric complexity.
The topics of ethical conduct and governance in academic research in the business field have attracted scientific and public attention. The concern is that research misconduct in organizations such as business schools and universities might result in practitioners, policymakers, and researchers grounding their decisions on biased research results. This study addresses ethical research misconduct b
Sepsis is defined as a life-threatening condition caused by a dysregulated host response to infection. Neutrophils are themost abundant innate immune cells of the body and play a key role in septic pathogenesis. During sepsis activatedneutrophils release web-like traps decorated with various cellular proteins known as neutrophil extracellular traps(NET). The primary task of NET and NET-associated
Some foreign policy analysts believe that what we are witnessing in the 21st century is nothing short of a reconfiguring of the global political order - with China firmly positioned at the helm as a (re)emerging great power. At present, the notion of the imminent establishment of a ‘new world order with Chinese characteristics’ is increasingly gaining traction. This sentiment has long permeated fo
BACKGROUND: Insulin resistance (IR) in skeletal muscle is a key feature of the pre-diabetic state, hypertension, dyslipidemia, cardiovascular diseases and also predicts type 2 diabetes. However, the underlying molecular mechanisms are still poorly understood.METHODS: To explore these mechanisms, we related global skeletal muscle gene expression profiling of 38 non-diabetic men to a surrogate measu
The ongoing COVID-19 pandemic has radically changed the way we live and had an enormous impact on the global healthcare system [ [1]]. Among many restrictions imposed on the societies, the national lockdowns have particularly disrupted the natural social networks and forced citizens to involuntary isolation. As a result, many patients have felt discouraged to visit their doctors, while emergency d
Background: The global food system is a major contributor to climate change, accounting for about one-third of human-induced greenhouse gas emissions (GHGE). Shifting toward plant-based diets offers potential benefits for both planetary health and chronic disease prevention. However, epidemiological evidence linking dietary GHGE to health outcomes remains limited and inconsistent. Objective: To ex
Cardiovascular disease is the leading global cause of death. Cardiovascular magnetic resonance (CMR) imaging is the gold standard method for evaluating cardiac function and structure and is thus an important tool for diagnostics in cardiovascular disease. Recently, deep learning (DL) methods have achieved notable developments in various aspects of CMR. The aim of this thesis was to further assess
This paper presents a novel convolutional neural network (CNN)-based control chart for detecting localized and subtle speckle shifts (displacements) in the images. To enhance detection accuracy, especially in detecting localized and simultaneous shifts, we design a custom CNN architecture and utilize a training methodology. Moreover, instead of inputting the entire images, we divide them into equa
The feasibility of the global energy transition may rest on the ability of nations to harness hydrogen's potential for cross-sectoral decarbonization. In countries historically reliant on natural gas for domestic heating and cooking such as the UK, hydrogen may prove critical to meeting net-zero targets and strengthening energy security. In response, the UK government is targeting industrial decar
Background: Physical activity (PA) in childhood is critical for establishing a healthy lifestyle across the lifespan, particularly to treat and prevent obesity. This study aimed to explore PA and sedentary behaviour (SED) in 6–12-year-old children with obesity and their parents, and possible associations in these behaviours between children and parents. Methods: Children referred to outpatient pae
Vocabularies of space define the world. Yet, despite their apparent conceptual authority (Harley 1989), the lineagesof cartographic entities are often blurred, accidental, and produced from etymologies only imperfectly understoodby their users. Drawing on a recent study on past and present meanings of the term ‘Mesopotamia’ (Rattenborg2018), this paper reviews the inadvertent, if now firmly embedd
