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Background. Proton therapy of lung cancer holds the potential for a reduction of the volume of irradiated normal lung tissue. In this work we investigate the robustness of intensity modulated proton therapy (IMPT) plans to motion, and evaluate a geometrical tumour tracking method to compensate for tumour motion. Material and methods. Seven patients with a nine targets with 4DCT scans were selected
Molecular dynamics (MD) simulations are a powerful approach to studying the structure and dynamics of proteins related to health and disease. Advances in the MD field allow modeling proteins with high accuracy. However, modeling metal ions and their interactions with proteins is still challenging. NPL4 is a zinc-binding protein and works as a cofactor for p97 to regulate protein homeostasis. NPL4
Klebsiella pneumoniae and Pseudomonas aeruginosa are two leading causes of burn and wound infections, pneumonia, urinary tract infections, and more severe invasive diseases, which are often multidrug resistant (MDR) or extensively drug resistant. Due to this, it is critical to discover alternative antimicrobials, such as bacteriophage lysins, against these pathogens. Unfortunately, most lysins tha
Designing a hole-transport material (HTM) that guarantees effective hole transport while self-assembling at the perovskite|HTM interface with the formation of an ordered interlayer, has recently emerged as a promising strategy for high-performance and stable perovskite solar cells (PSCs). Hydrogen bonding (HB) is a versatile multi-functional tool for the design of small molecular HTMs. However, to
Background: Preoperative inflammation might cause and also be a marker for anastomotic leakage after anterior resection for rectal cancer. Available biomarker indices such as the modified Glasgow Prognostic Score (mGPS) or the C-reactive protein-to-albumin ratio (CAR) may be clinically useful for leakage assessment. Methods: Patients who underwent anterior resection for rectal cancer during 2014–2
The quality of student-teacher classroom interactions is important to learning, belonging, and success, particularly for students from groups that have been historically excluded from or marginalized in higher education. The literature commonly asserts that one necessary part of high-quality educational interactions (whether in person or online) is trust, but several scholars note that trust has n
The Dynamic Collections project is an ongoing initiative pursued by the Visual Computing Lab ISTI-CNR in Italy and the Lund University Digital Archaeology Laboratory-DARKLab, Sweden. The aim of this project is to explore the possibilities offered by a deep, structured interaction with a large set of digital replicas of archeological artefacts. The project developed and deployed a web-based platfor
Data-driven methods and algorithms show immense potential for future advancements in the modeling and simulation of complex mechanical systems. However, in order to actually exploit this potential, the methods must be extended to consider inelastic and path-dependent material behavior—a step that appears more complex than in conventional material modeling, where this can be achieved with the help
INTRODUCTION: The risk for brain injury manifested as cerebral palsy is higher in very preterm born children than in term. Prenatal administration of magnesium sulfate (MgSO4 ) has been shown to be neuroprotective and reduces the proportion of very preterm born children later diagnosed with cerebral palsy. A Swedish national clinical practice guideline was implemented in March 2020, stipulating th
In this article, we introduce a new community-contributed command, xtnumfac, for estimating the number of common factors in time-series and panel datasets using the methods of Bai and Ng (2002, Econometrica 70: 191–221), Ahn and Horenstein (2013, Econometrica 81: 1203–1227), Onatski (2010, Review of Economics and Statistics 92: 1004–1016), and Gagliardini, Ossola, and Scaillet (2019, Journal of Ec
The global agri-food system accounts for about 37% of total annual greenhouse gas (GHG) emissions, and the agri-food Small and Medium Enterprises (SMEs) share is quite significant. Therefore, it has created an urgency for GHG reporting and management improvements. However, most tools available for GHG accounting are complex to utilize and expensive for SMEs to access. The methodology adopted in th
We present the application of two fibre-optic-coupled time-resolved spectrofluorometers and a compact steady-state diffuse reflected light/fluorescence spectrometer to in vivo and ex vivo studies of skin cancer and osteoarthritis. In a clinical study of skin cancer, 27 lesions on 25 patients were investigated in vivo before surgical excision of the region measured. Preliminary analysis reveals a s
Introduction: The ableist rhetoric around sexuality in disability services and beyond can hinder subjective sexual expression and have a powerful impact on health, self-esteem, and everyday life through internalized ableism, structural marginalization, and interpersonal discrimination. The aim of this study was to explore the ableist rhetoric of sexuality and its impact on sexual scripting for peo
Trees have the potential to improve urban air quality as leaves and needles capture air pollutants from the air, but further empirical data has been requested to quantify these effects. We measured the concentration of 32 polycyclic aromatic hydrocarbons (PAHs) in leaves of pin oak (Quercus palustris) and needles of black pine (Pinus nigra) in the City of Gothenburg, Sweden, during the summer of 2
BACKGROUND: Globally, violence disproportionately affects young people, leading to injury, hospitalisation, death, social dysfunction, and poor mental wellbeing. Moreover, it has far-reaching economic consequences for whole nations, due to loss of productivity. Research suggests that attaining a higher level of education promotes factors that insulate youths from poverty and violence.PURPOSE: In t
Hydrological processes in a watershed consist of multiple sub-processes (such as plant growth, evapotranspiration, water yield, and soil–water balance) that have complex interactions. The common practice of calibrating hydrological models against only a single variable (e.g., streamflow) can lead to parameter uncertainty (also known as equifinality), resulting in significant uncertainties in the r
