This paper proposes design considerations that need to be followed in order to eliminate potential sources of artefact that could distort a recorded neural signal. The artefact that appears in a recorded signal has a combination of potential sources each of which contributes towards its formation. As such, these sources of artefact have been addressed in three main categories: a) electronics artefact, b) encapsulation artefact and c) interface artefact. Each source (component) is analyzed further and appropriate design techniques and considerations are suggested towards its mitigation.
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http://dx.doi.org/10.1109/EMBC.2019.8856525 | DOI Listing |
Front Sociol
January 2025
Sigmund Freud University Vienna, Faculty of Psychotherapy Science, Vienna, Austria.
This paper investigates the impact of workload on leadership roles within the Austrian IT sector, by also paying attention to differences between genders. The research adopted a prospective design, selecting IT professionals, stratified by those with and without personnel responsibility and examined further through the lens of gender. A total of 200 participants completed the survey, where the modified German version of the Copenhagen Psychosocial Questionnaire (COPSOQ) served as the primary tool, which evaluated dimensions such as demands, influence, interpersonal relations, work interface, and conflicts.
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January 2025
College of Chemistry and Materials Engineering, Wenzhou University Wenzhou 325035 P. R. China
O3-type NaNiMnO cathode material exhibits significant potential for sodium-ion batteries (SIBs) owing to its high theoretical capacity and ample sodium reservoir. Nonetheless, its practical implementation encounters considerable obstacles, such as impaired structural integrity, sensitivity to moisture, inadequate high-temperature stability, and being unstable under high-voltage conditions. This study investigates the co-substitution of Cu, Mg, and Ti, guided by principles of the periodic law, to enhance the material's stability under varying conditions.
View Article and Find Full Text PDFPrecis Chem
January 2025
Key Laboratory of Applied Surface and Colloid Chemistry of Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710119, P. R. China.
Tetra-coordinate boron-based fluorescent materials hold considerable promise across chemistry, biology and materials science due to their unique and precisely tunable optoelectronic properties. The incorporation of the heteroatom boron (B) enables these materials to exhibit high luminescence quantum yields, adjustable absorption and emission wavelengths, and exceptional photostability. This review examines the molecular design and applications of tetra-coordinate boron-based photoactive molecules, highlighting their roles in fluorescence sensing, anticounterfeiting, and imaging.
View Article and Find Full Text PDFBMJ Oncol
January 2024
Department of Oncology, University of Oxford, Oxford, UK.
Repurposing established non-cancer drugs for the treatment of cancer offers potential benefits such as speed of clinical translation and financial efficiencies. In this study, we assess the landscape of repurposing drugs for combined use with radiotherapy (RT) based on their capacity to increase tumour radiosensitivity. Using a literature-based approach, we identified 42 radiosensitising drugs with varied non-cancer indications and mechanisms of action, that have entered or completed clinical trials in combination with RT or with chemoradiotherapy.
View Article and Find Full Text PDFBMJ Oncol
May 2024
Institute of Cancer Policy, King's College London Faculty of Life Sciences & Medicine, London, UK.
The role of artificial intelligence (AI) in cancer care has evolved in the face of ageing population, workforce shortages and technological advancement. Despite recent uptake in AI research and adoption, the extent to which it improves quality, efficiency and equity of care beyond cancer diagnostics is uncertain to date. Henceforth, the objective of our systematic review is to assess the clinical readiness and deployability of AI through evaluation of prospective studies of AI in cancer care following diagnosis.
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