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BackgroundRadiotherapy (RT) is an effective treatment option for prostate cancer (PCa). The evolution of new treatment planning techniques, advanced imaging and accelerator design has enabled precise treatment delivery. Volumetric modulated arc therapy (VMAT) optimisation techniques achieve sharp dose gradients between the target and organs at risk (OAR) and have become the standard of care for PC

These two volumes of Kosmos (1998) are pedagogical models for the extended vocal techniques performer. Volume 1 has six pieces of various lengths for one to four parts featuring the composer's model of articulation. Volume 2 has fourteen pieces of various lengths for one to four parts dealing with reinforced harmonics. Both volumes can be performed by single players or by a choir.

We present positivity bounds, derived from the principles of analyticity, unitarity and crossing symmetry, that constrain the low-energy constants of chiral perturbation theory. Bounds are produced for 2, 3 or more flavours with equal meson masses, up to and including next-to-next-to-leading order (NNLO), using the second and higher derivatives of the amplitude. We enhance the bounds by using the

Mixed-effects models are used to describe the inter-patient variability in drugs. Modeling of these variabilities include both fixed and random effects. Fixed effects relate covariates such as age and weight to compartment volumes and clearances, whereas random effects account for unexplained variability. Traditionally, the development of fixed effects models is an inefficient process where covari

Energy has played a significant role in developing civilization, but the continuous use of fossil fuels has hampered the environment. Hydropower is the alternative to fossil fuels. But most of the hydropower plants in hilly areas suffer from silt erosion problems. Erosion of underwater parts creates vibration and noise and reduces machine efficiency. Therefore, online monitoring of turbines and ot

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear inter

Hydropower is one of the most promising sources of renewable energy. However, a substantial initial investment requires for the construction of large civil structures. Feasibility study, detailed project report preparation, construction planning, and timely execution of work are the important activities of a hydropower plant. Energy generation in hydropower plants are mainly depends on discharge a

This paper is focused on analysing the effect of wavelet filters on Space frequency quantization (SFQ) coder performance. SFQ is a new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies

The challenge of urbanisation, caused by an increase in city population, is increasing demand for imported food products. Food supplies may be impacted by the exponential increase in food demand caused by a constantly expanding global population. Growing and producing food in urban areas has now become a common practice. Addressing food system challenges through the adoption of urban farms on gree

The remodelling process in bones is closely related to electromechanical phenomena. In addition to streaming potentials and piezoelectricity, flexoelectricity has been found to serve as an initiator for remodelling in cortical bone. Since flexoelectricity is coupled to strain gradients, the effect is size-dependent and, accordingly, most relevant on small scales. This means that particularly micro

The Events Research Programme (ERP) was a multi-disciplinary study undertaken during the COVID-19 pandemic to investigate SARS-CoV-2 transmission risks and mitigations around the reopening of mass events in the UK in 2021 – including a behavioural study, exploring how non-pharmaceutical interventions (NPIs), such as social distancing, pre-event virus testing, and the use of face coverings might en

The concept of smart city has been studied in a variety of forms and contexts. While previous studies highlight the extensive use of indicators of smartness, another stream of literature advocates the role of citizens in city transformations. In this viewpoint, we call for an extension of this dichotomous understanding and highlight the cross-sectoral collaborative nature of smart city; we also dr

As a research domain, the smart city keeps growing, despite the remaining contradictions and ambiguity related to its conceptual aspects. We propose to dig deeper into the complex socio-technical nature of the smart city and examine the concept through the lens of different public governance paradigms, therefore aligning it with the sustainability outcomes. Embracing interrelated dimensions of hum

In order to keep up with the constant demand for higher data rates, the fifth generation of mobile communication (5G) introduced the use of mm-wave carrier frequencies from 24 to 71 GHz. Plenty of new frequency spectrum then became available, which has allowed for channel bandwidths of several hundreds of MHz. 6G is projected to continue this trend with even higher carrier frequencies and wider ba

We present a method that allows enabling matrix element corrections (MECs) in Pythia8 with MC@NLO matching, without incurring double counting. MECs are an interesting feature that may contribute to the accuracy of theoretical predictions, alongside matching and merging. We directly compare our method to a specific choice of settings in Pythia8, which can remove double-counting for MECs in certain

Tetrodotoxin (TTX) is a marine toxin responsible for many intoxications around the world. Its presence in some pufferfish species and, as recently reported, in shellfish, poses a serious health concern. Although TTX is not routinely monitored, there is a need for fast, sensitive, reliable, and simple methods for its detection and quantification. In this work, we describe the use of an automated pa

Objective: Emerging research suggests that rheumatoid arthritis (RA) is associated with intestinal dysbiosis. This prospective pilot study evaluates changes in intestinal microbial composition in patients with RA initiating treatment with either methotrexate (MTX) or a tumor necrosis factor inhibitor (TNFi). Methods: Consecutive patients, fulfilling the 2010 American College of Rheumatology/EULAR