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Much of the research evidence relating to the physical learning environment of schools is inconclusive, contradictory or incomplete. Nevertheless, within this confusing area, research from a number of disciplines, using a range of methodologies, points to the negative impact of noise on students' learning. In this paper, drawing on our systematic review of learning environments we review the weight of evidence in relation to noise, considering what implications the results of these studies have for the design and use of learning spaces in schools. We make four key points. Firstly that noise over a given level does appear to have a negative impact on learning. Secondly that beneath these levels noise may or may not be problematic, depending on the social, cultural and pedagogical expectations of the students and teachers. Thirdly we argue that when noise is deemed to be a difficulty, this finding cannot simply be translated into design prescriptions. The reasons for this indeterminacy include differing understandings of the routes through which noise produces learning deficits, as well as relationships between noise and other elements of the environment, particularly the impacts of physical solutions to noise problems. Finally, we suggest that solutions to noise problems will not be produced by viewing noise in isolation, or even as part of the physical environment, but through participatory approaches to understanding and adapting the structure, organisation and use of learning spaces in schools.
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http://dx.doi.org/10.3390/ijerph7083255 | DOI Listing |
Radiother Oncol
March 2025
Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China; Cancer Center, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310027, Zhejiang, China. Electronic address:
Purpose: Patients with locally-advanced head and neck squamous cell carcinomas(HNSCCs), particularly those related to human papillomavirus(HPV), often achieve good locoregional control(LRC), yet they suffer significant toxicities from standard chemoradiotherapy. This study aims to optimize the daily dose fractionation based on individual responses to radiotherapy(RT), minimizing toxicity while maintaining a low risk of LRC failure.
Method: A virtual environment was developed to simulate tumor dynamics under RT for optimizing dose schedules.
Talanta
March 2025
School of Automation, Central South University, Changsha, 410083, China. Electronic address:
Spectral detection based on spectrophotometry is an important multi-component concentration detection method. At present, commonly used machine learning methods in the field of spectral analysis can only be used for prediction and cannot analyze how the concentration of each component affects the spectrum. In addition, for common spectral parallel drift in spectrophotometry, traditional derivative preprocessing methods are susceptible to noise and cannot reverse restore the original spectrum.
View Article and Find Full Text PDFMed Phys
March 2025
School of Computer Science and Engineering, Central South University, Changsha, China.
Background: Quantitative susceptibility mapping (QSM) is a post-processing magnetic resonance imaging (MRI) technique that extracts the distribution of tissue susceptibilities and holds significant promise in the study of neurological diseases. However, the ill-conditioned nature of dipole inversion often results in noise and artifacts during QSM reconstruction from the tissue field. Deep learning methods have shown great potential in addressing these issues; however, most existing approaches rely on basic U-net structures, leading to limited performances and reconstruction artifacts sometimes.
View Article and Find Full Text PDFMed Phys
March 2025
Experimental Particle Physics Department (F9), Jožef Stefan Institute, Ljubljana, Slovenia.
Background: Panel detectors have the potential to provide a flexible, modular approach to Positron Emission Tomography (PET), enabling customization to meet patient-specific needs and scan objectives. The panel design allows detectors to be positioned close to the patient, aiming to enhance sensitivity and spatial resolution through improved geometric coverage and reduced noncollinearity blurring. Parallax error can be mitigated using depth of interaction (DOI) information.
View Article and Find Full Text PDFJ Sep Sci
March 2025
Institute of Analytical Chemistry of the Czech Academy of Sciences, Brno, Czech Republic.
The high-sensitivity capabilities of laser-induced fluorescence (LIF) detection continuously promote the development of various labels with different fluorescence properties. However, this strategy also requires the adaptation of existing detection systems to suit the excitation and emission characteristics of novel fluorescent tags. In this study, we adapted the LIF detector of the commercial capillary electrophoresis instrument to the specific fluorescence spectra of 2-aminoacridone labeled human milk oligosaccharides.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!