We describe the design and performance of a magnetic bottle electron spectrometer (MBES) for high-energy electron spectroscopy. Our design features a 2 m long electron drift tube and electrostatic retardation lens, achieving sub-electronvolt (eV) electron kinetic energy resolution for high energy (several hundred eV) electrons with a close to 4π collection solid angle. A segmented anode electron detector enables the simultaneous collection of photoelectron spectra in high resolution and high collection efficiency modes. This versatile instrument is installed at the time-resolved molecular and optical sciences instrument at the Linac Coherent Light Source x-ray free-electron laser (XFEL). In this paper, we demonstrate its high resolution, collection efficiency, and spatial selectivity in measurements where it is coupled to an XFEL source. These combined characteristics are designed to enable high-resolution time-resolved measurements using x-ray photoelectron, absorption, and Auger-Meitner spectroscopy. We also describe the pervasive artifact in MBES time-of-flight spectra that arises from a periodic modulation in electron collection efficiency and present a robust analysis procedure for its removal.
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http://dx.doi.org/10.1063/5.0223334 | DOI Listing |
Harm Reduct J
December 2024
Sexual and Reproductive Health Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Background And Aim: Considering opioid use disorder (OUD) as one of the major global concerns, methadone maintenance treatment (MMT) has been documented the core treatment for such dependence in the affected individuals. With regard to the significant role of quality of life (QoL) in evaluating the outcomes of various treatment methods in this line, the present study was to explore perceived QoL in long-term methadone-dependent patients (MDPs).
Materials And Methods: Applying a qualitative research design, this study was performed on 25 long-term MDPs, selected by purposive sampling with maximum variation.
Anaesth Crit Care Pain Med
December 2024
Perioperative Care Program, Perioperative Medicine Team, Telethon Kids Institute, Northern Entrance, Perth Children's Hospital, 15 Hospital Ave, Nedlands WA 6009, Perth, Australia; Division of Emergency Medicine, Anaesthesia and Pain Medicine, Medical School, The University of Western Australia, 35 Stirling Hwy, Crawley WA 6009, Perth, Australia; School of Human Sciences, The University of Western Australia, 35 Stirling Hwy, Crawley WA 6009, Perth, Australia; Institute for Paediatric Perioperative Excellence, The University of Western Australia, 35 Stirling Hwy, Crawley WA 6009, Perth, Australia; Department of Anaesthesia and Pain Medicine, Perth Children's Hospital, 15 Hospital Ave, Nedlands WA 6009, Perth, Australia. Electronic address:
Comput Methods Programs Biomed
December 2024
Department of Cardiovascular Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China. Electronic address:
Background And Objective: Accurate prediction of perioperative major adverse cardiovascular events (MACEs) is crucial, as it not only aids clinicians in comprehensively assessing patients' surgical risks and tailoring personalized surgical and perioperative management plans, but also for information-based shared decision-making with patients and efficient allocation of medical resources. This study developed and validated a machine learning (ML) model using accessible preoperative clinical data to predict perioperative MACEs in stable coronary artery disease (SCAD) patients undergoing noncardiac surgery (NCS).
Methods: We collected data from 9171 adult SCAD patients who underwent NCS and extracted 64 preoperative variables.
Biosens Bioelectron
December 2024
Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, PR China; Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, PR China. Electronic address:
Plant electrical signals serve as a medium for long-distance signal transmission and are intricately linked to plant stress responses. High-fidelity acquisition and analysis of plant electrophysiological signals contribute to early stress identification, thereby enhancing agricultural production efficiency. While traditional plant electrophysiology monitoring methods like gel electrodes can capture electrical signals on plant surfaces, which face limitations due to the plant cuticle barrier, impacting signal accuracy.
View Article and Find Full Text PDFJ Pharm Biomed Anal
December 2024
GICAPC Research Group, Department of Analytical Chemistry, University of Valencia, Burjassot, Valencia 46100, Spain. Electronic address:
This review article brings together two of the current hot-spots in the field of analytical chemistry, and more specifically in the sample preparation stage: the use of dispersive microextraction techniques, and the analysis of saliva. Due to saliva collection is minimally invasive, it is increasingly being considered in bioanalysis. Moreover, bioanalysis is routine and agglutinates a high number of samples demanding for fast results, thus high-throughput assays are highly required.
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