Journal of Medical Imaging and Radiation Sciences最新文献

{"title":"Silent stories: A CT technologist's view","authors":"Yousif Al-Naser","doi":"10.1016/j.jmir.2024.101770","DOIUrl":"10.1016/j.jmir.2024.101770","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101770"},"PeriodicalIF":1.3,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating the employment terrain in the Irish radiography sector","authors":"Alison Considine ,&nbsp;Mark F. McEntee ,&nbsp;Marie Ryan ,&nbsp;Rena Young ,&nbsp;Angela Flynn ,&nbsp;Mohammad Rawashdeh ,&nbsp;Mostafa Abdelrahman ,&nbsp;Mohamed Z. El-Sayed ,&nbsp;Andrew England","doi":"10.1016/j.jmir.2024.101785","DOIUrl":"10.1016/j.jmir.2024.101785","url":null,"abstract":"<div><h3>Background</h3><div>In Ireland, radiographers typically work in the public or private sector. This study investigates the determinants influencing radiographers' employment choices between the public and private sectors, offering employers valuable insights into the key factors that shape these decisions.</div></div><div><h3>Methods</h3><div>An online questionnaire was distributed nationally via social media and email. The survey gathered data on demographics, job acceptance factors, career progression, employee retention, and perceived sector advantages. Descriptive and qualitative analyses were employed.</div></div><div><h3>Results</h3><div>One hundred and forty-one radiographers completed the survey, representing approximately 4.7 % of state-registered (CORU) radiographers in Ireland. Key differences between sectors emerged: public sector radiographers prioritized pension, job security, and paid sick leave. Private sector radiographers valued salary, benefits, working hour flexibility, and specialized training opportunities. Career progression was viewed more favorably in the private sector (58 %) compared to the public sector (41 %). Both sectors reported similar retention issues, primarily due to heavy workloads and burnout.</div></div><div><h3>Conclusion</h3><div>Employers can improve radiographer retention by aligning their strategies with the motivations of these professionals. The appeal of the public sector is rooted in stability and comprehensive benefits, whereas the private sector attracts radiographers through flexibility, opportunities for professional development, and higher income potential. By effectively balancing compensation, resources, and incentives, in conjunction with promoting technological innovation, organizations can significantly enhance radiographer retention in Ireland.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101785"},"PeriodicalIF":1.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142606325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A bibliometric analysis on research authorship and collaboration patterns in radiography professional journals: A 10-year review","authors":"Edozie Iweka ,&nbsp;Basil Nnaemeka Ezenwuba ,&nbsp;Beverley Snaith","doi":"10.1016/j.jmir.2024.101772","DOIUrl":"10.1016/j.jmir.2024.101772","url":null,"abstract":"<div><h3>Introduction</h3><div>Peer-reviewed journals are commonly used by health professionals, including radiographers to disseminate their research products. Understanding patterns like productivity and collaboration of authorship is crucial, enabling relevant stakeholders to chart better directions for professional journals. This bibliometric analysis updates previous works to explore current trends in authorship and collaborations within radiography professional journals.</div></div><div><h3>Methods</h3><div>This study was conducted on three radiography professional journals with predetermined eligibility criteria, investigating publications within a 10-year period (January 2013 - December 2022). Relevant data were collected and analysed both descriptively and using collaboration metrics.</div></div><div><h3>Results</h3><div>There were 1830 papers published across all journals and a linear increase in papers published per year, an average increase of 14.98 %. There are 1330 unique first authors publishing across all journals, however, 79.02 % (1051/1330) of unique authors only published a single paper. Academic authors published the most (55.36 %; 1013/1830) and had the most representation on a list of most published authors (15/20). There were 74 unique countries publishing across all journals and increase noted from international contributions, from 12.22 % in 2013 to 50.36 % in 2022. However, publications of authors from the host countries (UK, Canada, and Australia) of the journals predominates, and along with authors from the USA and Ireland, published 69.29 % of overall papers. There was good collaboration among authors with an average increase of 20.51 % across the years. Clinical-academics are more likely to publish in collaboration (32.93 %; 55/167).</div></div><div><h3>Conclusions</h3><div>Authors from academia still predominate in research productivity compared to those in the clinical, however the increased collaboration noted from clinical-academic authors shows the potential to close this gap in the future. More work is needed to encourage more international authorship contributions to radiography professional journals.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101772"},"PeriodicalIF":1.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The design and construct a website for collection and report diagnostic reference levels (DRLs) in diagnostic radiography","authors":"Narongsak Chaychid ,&nbsp;Kaiwit Bunta ,&nbsp;Panatsada Awikunprasert ,&nbsp;Kamonwan Sangsuwan ,&nbsp;Chaleomchok Wuttanatum ,&nbsp;Natharin Duksukkeaw","doi":"10.1016/j.jmir.2024.101783","DOIUrl":"10.1016/j.jmir.2024.101783","url":null,"abstract":"<div><h3>Background</h3><div>The preparation of reports and calculation of dose reference levels (DRLs) for general x-ray radiography are valuable tools for determining appropriate radiation dosage. However, the systematic collection of dose-area product (DAP) dose data can be challenging, and calculating entrance surface air kerma (ESAK)values requires precision and careful calculations<strong>.</strong></div></div><div><h3>Objective</h3><div>The aim of this study was to design and implement a website for the collection of DAP values, calculation of ESAK values, and reporting of DRLs from general diagnostic radiographs. Additionally, the study evaluated the quality and satisfaction of radiological technologists using the website.</div></div><div><h3>Methods</h3><div>Website design considerations included navigation, database management, and the development of an interactive web application for displaying and validating calculations. Subsequently, the website was made available to 16 volunteers for evaluation of its effectiveness and user satisfaction.</div></div><div><h3>Results</h3><div>The developed website functioned properly and was capable of recording DAP data, calculating ESAK values, and generating reports on DRL values. Verification of the ESAK and DRL calculations by four experts confirmed their accuracy. The content evaluation yielded a mean score of 4.71 ± 0.49 for content, 4.59 ± 0.65 for usability, 4.55 ± 0.59 for website format, and 4.61 ± 0.60 for overall satisfaction.</div></div><div><h3>Conclusion</h3><div>A website designed for the collection and reporting of DRLs in general diagnostic radiography offered practical application potential. Its functionalities could enhance the work efficiency of radiological technologists and contribute to improved radiation optimization and protection.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101783"},"PeriodicalIF":1.3,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142568206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the Machine: A Radiographer's Tale","authors":"Shayne Chau","doi":"10.1016/j.jmir.2024.101771","DOIUrl":"10.1016/j.jmir.2024.101771","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101771"},"PeriodicalIF":1.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative Learning Activities to Prepare Radiography Students for Final-Year Clinical Placements: An Educational Perspective","authors":"Yobelli Alexandra Jimenez,&nbsp;Laura Di Michele,&nbsp;Susan Said,&nbsp;Peter Kench,&nbsp;Frances Gray","doi":"10.1016/j.jmir.2024.101784","DOIUrl":"10.1016/j.jmir.2024.101784","url":null,"abstract":"<div><h3>Introduction/Background</h3><div>The aim of this educational perspective is to describe a program of learning activities developed to prepare radiography students for final year clinical placements. Authors’ reflections are integrated with student feedback to discuss the educational value and feasibility of implementing the activities presented.</div></div><div><h3>Methods</h3><div>A program of six components was developed: (1) Simulation-based learning, (2) clinical supervision, (3) tutorials and workshops, (4) medical imaging facility learning tours (5) lecture series and (6) journal club. Student volunteers provided anonymous and voluntary feedback on each activity's engagement, effectiveness, promotion of interaction and collaboration, role in future placement or professional role, and the perceived value to their learning needs.</div></div><div><h3>Results</h3><div>Activities with clear links to practice were rated highest by students, including clinical supervision, 2-day simulation program, CT tutorials and interprofessional simulation. All students reported that half of all activities (6/12, 50%) were either very valuable or valuable, with only a minority of students indicating three activities to not be valuable to their learning needs.</div></div><div><h3>Discussion</h3><div>Student feedback highlighted activities considered to support skill development, stemming from active learning opportunities. Overall characteristics considered to support students’ clinical skill development were interprofessional teaching team, mixture of activities including simulation, and collaboration with clinical and industry partners.</div></div><div><h3>Conclusion</h3><div>Based on student feedback and academics’ perceptions of suitability of activities for preparing students for final year clinical placement, faculty have shifted their focus towards dedicated resources to support scale-up and sustainability pertaining to integration into curriculum. The goal is to embed these activities into the core curriculum, offering students consistent, up-to-date learning, while expanding preparatory activities with diverse, specialised clinical scenarios to better prepare them for practice.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101784"},"PeriodicalIF":1.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing radiation therapy student's cultural competency and safety of Canadian Indigenous populations using cultural immersion","authors":"T. Lundstrom ,&nbsp;K. Osmar ,&nbsp;K. Fitzpatrick ,&nbsp;S. Fawcett ,&nbsp;A. Bolderston ,&nbsp;R. Lightning ,&nbsp;H. McKennitt","doi":"10.1016/j.jmir.2024.101723","DOIUrl":"10.1016/j.jmir.2024.101723","url":null,"abstract":"<div><h3>Introduction</h3><div>Indigenous peoples in Canada have a higher cancer burden and shorter life expectancy compared to the non-Indigenous population. Canada's colonial legacy has resulted in many Indigenous people experiencing high mistrust in healthcare providers which can result in healthcare avoidance, such as delays seeking preventative care as well as lower screening rates. This may be compounded by language barriers as well as a lack of culturally safe care in healthcare settings. Cultural competency and safety education, which can include cultural immersion methods, has been widely prioritized and implemented in health care and academic institutions. This manuscript reports the results of a pilot cultural immersion experience in an Indigenous community (Maskwacîs, Treaty 6 Territory) for University of Alberta Radiation Therapy Department radiation therapy students and clinical faculty.</div></div><div><h3>Methods</h3><div>This project used the Etuaptmumk or Two-Eyed Seeing approach as the research framework to tie Western methodologies with Indigenous knowledge. The cultural immersion day included a sweat lodge ceremony, a traditional lunch and a sharing circle. Following the event, two focus groups were conducted to gather participants’ perspectives. The discussions were transcribed and the data was analysed thematically.</div></div><div><h3>Results</h3><div>Seven senior radiation therapy students and five faculty members participated in the cultural immersion day. The majority of the feedback from the day was positive. The four main themes that emerged from the focus groups were; (1) enhanced cultural safety, (2) improved peer to peer and peer to educator relationships, (3) responsibility to social accountability, advocacy, and personal growth, and (4) facilitation of a bridge between Western and Indigenous views.</div></div><div><h3>Conclusion</h3><div>Support for Indigenous patients with cancer and caregivers is essential to improve care in the radiation therapy department. As this pilot project was a success, the cultural immersion day is now a component of the cultural competency and safety training for radiation therapy students at the University of Alberta. However, more opportunities are needed for staff to consistently facilitate and foster culturally safe care for Indigenous patients undergoing radiation therapy.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"55 4","pages":"Article 101723"},"PeriodicalIF":1.3,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A systematic review","authors":"Samuel Arkoh ,&nbsp;Theophilus N. Akudjedu ,&nbsp;Cletus Amedu ,&nbsp;William K. Antwi ,&nbsp;Wiam Elshami ,&nbsp;Benard Ohene-Botwe","doi":"10.1016/j.jmir.2024.101769","DOIUrl":"10.1016/j.jmir.2024.101769","url":null,"abstract":"<div><h3>Introduction</h3><div>Artificial Intelligence (AI) represents the application of computer systems to tasks traditionally performed by humans. The medical imaging profession has experienced a transformative shift through the integration of AI. While there have been several independent primary studies describing various aspects of AI, the current review employs a systematic approach towards describing the perspectives of radiologists and radiographers about the integration of AI in clinical practice. This review provides a holistic view from a professional standpoint towards understanding how the broad spectrum of AI tools are perceived as a unit in medical imaging practice.</div></div><div><h3>Methods</h3><div>The study utilised a systematic review approach to collect data from quantitative, qualitative, and mixed-methods studies. Inclusion criteria encompassed articles concentrating on the viewpoints of either radiographers or radiologists regarding the incorporation of AI in medical imaging practice. A stepwise approach was employed in the systematic search across various databases. The included studies underwent quality assessment using the Quality Assessment Tool for Studies with Diverse Designs (QATSSD) checklist. A parallel-result convergent synthesis approach was employed to independently synthesise qualitative and quantitative evidence and to integrate the findings during the discussion phase.</div></div><div><h3>Results</h3><div>Forty-one articles were included, all of which employed a cross-sectional study design. The main findings were themed around considerations and perspectives relating to AI education, impact on image quality and radiation dose, ethical and medico-legal implications for the use of AI, patient considerations and their perceived significance of AI for their care, and factors that influence development, implementation and job security. Despite varying emphasis, these themes collectively provide a global perspective on AI in medical imaging practice.</div></div><div><h3>Conclusion</h3><div>While expertise levels are varied and different, both radiographers and radiologists were generally optimistic about incorporation of AI in medical imaging practice. However, low levels of AI education and knowledge remain a critical barrier. Furthermore, equipment errors, cost, data security and operational difficulties, ethical constraints, job displacement concerns and insufficient implementation efforts are integration challenges that should merit the attention of stakeholders.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101769"},"PeriodicalIF":1.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"For the busy clinical-imaging professional in an AI world: Gaining intuition about deep learning without math","authors":"Dolly Y. Wu ,&nbsp;Dat T. Vo ,&nbsp;Stephen J. Seiler","doi":"10.1016/j.jmir.2024.101762","DOIUrl":"10.1016/j.jmir.2024.101762","url":null,"abstract":"<div><div>Medical diagnostics comprise recognizing patterns in images, tissue slides, and symptoms. Deep learning algorithms (DLs) are well suited to such tasks, but they are black boxes in various ways. To explain DL Computer-Aided Diagnostic (CAD) results and their accuracy to patients, to manage or drive the direction of future medical DLs, to make better decisions with CAD, etc., clinical professionals may benefit from hands-on, under-the-hood lessons about medical DL. For those who already have some high-level knowledge about DL, the next step is to gain a more-fundamental understanding of DLs, which may help illuminate inside the boxes. The objectives of this Continuing Medical Education (CME) article include:<ul><li><span>•</span><span><div>Gain an intuitive understanding of DL</div></span></li><li><span>•</span><span><div>Learn example DL architectures for pattern recognition</div></span></li><li><span>•</span><span><div>Explore optimization of DLs and some factors that affect their accuracy using non-clinical images as input data</div></span></li><li><span>•</span><span><div>Gain insights from simulations to probe DL behavior and options to optimize DLs</div></span></li><li><span>•</span><span><div>Review lessons learned from the simulations</div></span></li></ul>Better understanding can come from relatable medical analogies and personally experiencing quick simulations to observe deep learning in action, akin to the way clinicians are trained to perform other tasks. We developed readily-implementable demonstrations and simulation exercises. We framed the exercises using analogies to breast cancer, malignancy and cancer stage as example diagnostic applications. The simulations revealed a nuanced relationship between DL output accuracy and the quantity and nature of the data. The simulation results provided lessons-learned and implications for the clinical world. Although we focused on DLs for diagnosis, they are similar to DLs for treatment (e.g. radiotherapy) so that treatment providers may also benefit from this tutorial.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101762"},"PeriodicalIF":1.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing CT examination efficiency with ChatGPT-4o for multilingual Hajj pilgrims: A short communication","authors":"Yasser H. Hadi ,&nbsp;Fatimah K. Altalhi ,&nbsp;Hussam M. Ali ,&nbsp;Mohammed A. Shabli ,&nbsp;Abdulrahman I. Abu Aqil ,&nbsp;Andrew England","doi":"10.1016/j.jmir.2024.101781","DOIUrl":"10.1016/j.jmir.2024.101781","url":null,"abstract":"<div><h3>Introduction/background</h3><div>The annual Hajj pilgrimage brings millions of Muslims from diverse linguistic backgrounds to Makkah, Saudi Arabia. This poses significant communication challenges in medical settings, particularly during complex procedures like computed tomography (CT) examinations. In 2024, a tertiary care hospital integrated ChatGPT-4o real-time translation technology to address these challenges. This short communication aims to provide an initial assessment of the effectiveness of ChatGPT-4o in improving communication, procedure quality, and examination efficiency for multilingual Hajj pilgrims.</div></div><div><h3>Methods</h3><div>This quantitative study, conducted in the radiology department, analysed data from two periods: June 20 to July 8, 2023, and June 7 to June 23, 2024. Ethical clearance was obtained, and key variables measured included examination time (in minutes), patient throughput (cases per shift), and the number of scans with artifacts. Feedback on communication and satisfaction was gathered from both patients and radiographers. Paired t-tests were used to compare mean values of examination times, throughput, and artifact occurrence between the two periods, with a significance level set at <em>P</em> &lt; 0.05.</div></div><div><h3>Results</h3><div>A paired t-test revealed a statistically significant (<em>p</em> &lt; 0.01) reduction in mean examination time (from 15.4 (2.1) minutes in 2023 to 11.1 (1.7) minutes in 2024) following the introduction of ChatGPT-4o. This reduction corresponded with an increase in mean (standard deviation) patient throughput from 49.5 (4.8) cases per shift in 2023 to 56.2 (5.3) cases per shift in 2024 (<em>P</em> &lt; 0.01). The number of scans with artifacts also decreased significantly, from 30 out of 748 scans in 2023 to 8 out of 885 scans in 2024 (<em>P</em> &lt; 0.01).</div></div><div><h3>Discussion</h3><div>The integration of ChatGPT-4o significantly improved communication between healthcare providers and patients, leading to better compliance with procedure instructions and fewer repeat scans. Training programs facilitated efficient use of the technology by radiographers, further improving workflow efficiency. Despite initial integration and acceptance challenges, patients and radiographers reported high satisfaction with the improved communication and reduced stress levels.</div></div><div><h3>Conclusion</h3><div>This study demonstrates that ChatGPT-4o real-time translation improved patient communication, procedure quality, and examination efficiency. The technology reduced examination times and increased patient throughput, with positive feedback from patients and radiographers, indicating its effectiveness in multilingual medical settings.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101781"},"PeriodicalIF":1.3,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}