Online Condition Research Articles

Tractography of fetal visual pathway.

Ultrasound in Obstetrics & GynecologyAccepted Articles Picture of the Month Tractography of fetal visual pathway R. Corroenne, R. Corroenne orcid.org/0000-0002-8583-2054 EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France Department of Obstetrics, Fetal Medicine and Surgery, Necker–Enfants Malades Hospital, AP–HP, Paris, FranceSearch for more papers by this authorD. Grevent, D. Grevent EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France Department of Radiology, Necker–Enfants Malades Hospital, AP–HP, Paris, FranceSearch for more papers by this authorL. J. Salomon, Corresponding Author L. J. Salomon [email protected] orcid.org/0000-0003-0627-4347 EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France Department of Obstetrics, Fetal Medicine and Surgery, Necker–Enfants Malades Hospital, AP–HP, Paris, FranceCorrespondence to: Prof. L. J. Salomon, Department of Obstetrics, Fetal Medicine and Surgery, Necker–Enfants Malades Hospital, Paris, France, E-mail: [email protected]Search for more papers by this author R. Corroenne, R. Corroenne orcid.org/0000-0002-8583-2054 EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France Department of Obstetrics, Fetal Medicine and Surgery, Necker–Enfants Malades Hospital, AP–HP, Paris, FranceSearch for more papers by this authorD. Grevent, D. Grevent EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France Department of Radiology, Necker–Enfants Malades Hospital, AP–HP, Paris, FranceSearch for more papers by this authorL. J. Salomon, Corresponding Author L. J. Salomon [email protected] orcid.org/0000-0003-0627-4347 EA Fetus 7328 and LUMIERE Platform, University of Paris, Paris, France Department of Obstetrics, Fetal Medicine and Surgery, Necker–Enfants Malades Hospital, AP–HP, Paris, FranceCorrespondence to: Prof. L. J. Salomon, Department of Obstetrics, Fetal Medicine and Surgery, Necker–Enfants Malades Hospital, Paris, France, E-mail: [email protected]Search for more papers by this author First published: 22 May 2023 https://doi.org/10.1002/uog.26269 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/uog.26269. AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation

An Online Condition Monitoring Method for Series-Connected IGBTs to Avoid Cascading Failure

The series-connected insulated gate bipolar transistors (IGBTs) have numerous applications in industry and research fields. One of the risks of the resultant series high-voltage switch (RSHVS) is the IGBTs short circuit failure. The number of the IGBTs in a RSHVS is usually designed with an appropriate voltage de-rating factor to make it resilient against a limited number of the IGBTs short circuit failures. However, by the increased number of failures, the withstand voltage of the healthy IGBTs finally violates the IGBTs' tolerable voltage in the off-state. In such conditions, a cascading failure occurs and breaks all remaining healthy IGBTs. This paper proposes a condition monitoring (CM) method to avoid cascading failure in RSHVSs. The proposed method works based on the change of the rising edge of the load current in the RSHVS turning-on time. It will be shown when some of the IGBTs in the series structure fail short, the turning-on time of the RSHVS increases. Thus, the rising edge of the current also increases which leads to the decrement of high-order harmonics magnitude. The proposed CM analyzes such harmonics and provides a constant voltage as the CM output. The performance of the proposed CM is evaluated using simulations and experiments for a RSHVS consisting of eight IGBTs.

An Online Condition Monitoring Method for IGBT Gate Oxide Degradation Based on the Gate Current in Miller Plateau

The reliability of power converters is one of the important issues due to the widespread applications of power electronics in many industrial fields. Accordingly, condition monitoring (CM) methods for the assessment of the converter components health are considered as a practical topic for researchers and experts of the field. This paper aims to propose a CM method for insulated gate bipolar transistors (IGBTs) gate-oxide degradation. The proposed CM is based on the gate-emitter current during the turning-on process. It is shown that in the degradation process, the gate current peak value majorly increases. The proposed CM method captures this peak value and uses it as a degradation indicator. The proposed method is simple and analogous that can be served easily for online health assessment of the IGBTs under operation. It can be integrated into the driver module to assess the gate oxide degradation of the device. The functionality of the proposed method is evaluated using experimental prototyping. The target devices are a 1200 V, and 40 A trench-gate field-stop and a 600 V and 60 A planner gate punch-through (PT) discrete IGBTs. The achieved results show the validity and acceptable performance of the proposed CM for detecting the gate-oxide degradation of the device.

A context-aware real-time human-robot collaborating reinforcement learning-based disassembly planning model under uncertainty

ABSTRACT Herein, we present a real-time multi-agent deep reinforcement learning model as a disassembly planning framework for human–robot collaboration. This disassembly plan optimises sequences to minimise operation time and the disassembling costs of end-of-life (EoL) products. Combining different data-driven decision-making tools, the plan aims to handle the complexities and uncertainties of disassembly tasks. Based on the physical features and geometric limitations of EoL product components, we calculate product disassembly difficulty scores. Subsequently, the deep reinforcement learning model integrates these scores into planning process. The model allocates tasks in real time according to the online conditions of the human operator, cobot, and product, enabling the model to cope with uncertainties that may change the process routine. We also present different scenarios wherein a cobot collaborates with human operators with different skill levels. To evaluate model performance, we compare it with baseline models in terms of the convergence time and incorporated disassembly features. The analysis indicates that our model converges three times faster than a baseline model applied to the same case study. Moreover, our model includes more features of the disassembly problem in its decision-making process than any other baseline model.

A novel nonlinear spectrum estimation method and its application in on-line condition assessment of bearing-rotor system

In this paper, a novel approach for nonlinear spectrum estimation is proposed and combined with Support Vector Machine (SVM) classifier to assess the condition of bearing-rotor systems, including fault types and severity. The proposed approach involves extraction and reconstruction of target harmonics, dynamic process modeling of the reconstructed signal based on a data-driven method, and extraction of nonlinear spectrum features in the form of nonlinear output frequency response functions (NOFRFs). The focus is on the influence of model stability and accuracy evaluation on the robustness of NOFRFs. Then the robustness of the NOFRFs based on the proposed estimation approach is compared with the conventional estimation approach using simulation cases and experiments. SVM is used to classify the extracted nonlinear spectrum features. Finally, the classification accuracy of NOFRFs evaluated by the proposed approach is compared with time-domain and frequency-domain features. Neighborhood Component Analysis (NCA) is used to select sensitive features and improve classification accuracy. The proposed condition assessment strategy does not require the selection of sensitive features, ensuring the stability of assessment results, which is also a significant advantage of the proposed strategy.

Theoretical Study of Platinum Doped Anatase (101) Surface on Detecting Decomposition Production of Polyvinyl Chloride

The gas sensitivity of platinum doped TiO2 (101) to two kinds on polyvinyl chloride decomposition production, CO and HCl, were explored based on density functional theory. The binding energy, adsorption distance, charge transfer, and density of states distribution were simulated and discussed. The results suggest that the O oriented mode is probably the best mode for the CO gas molecules adsorption on the Pt-TiO2 and H oriented mode for the HCl adsorption system. HCl and CO molecules obtain electrons from Pt doped TiO2 surface. At room temperature, the recovery time of CO and HCl is 1.9743 × 10-10, 1.2094 × 10-10 respectively. HCl is easier to dissociate from Pt doped TiO2 surface with a little lower energy barrier compared to CO. This work provides theoretical adsorption information of Pt-TiO2 as gas sensor material for HCl and CO detection in the application of online condition monitoring and defect diagnosis in the power cables.

Convolutional neural networks applied to microtomy: Identifying the trimming-end cutting routine on paraffin-embedded tissue blocks

In the field of histopathology, the microtomy procedure yields thin sections of tissue embedded in paraffin blocks, then to be further processed for diagnostic purposes. Within microtomy, trimming is an initial but critical process in which the excess paraffin covering the tissue of interest is removed by continuous cutting routines, until the tissue is suitably exposed and ready for sectioning. Trimming is currently a time-consuming process that is manually held by technicians. In this paper, we present a method to automatize this process, by analyzing tissue block surface images resulting from each cyclic cutting routine. Two types of Convolutional Neural Networks (CNNs) were fine-tuned: one for binary segmentation, the other for multi-class classification tasks, by exploring and optimizing lightweight architectures to provide fast analytical results on cost-effective edge computing. Two sequential online conditions followed the CNNs to output the current stage of the block surface and rule if the trimming-end cutting routine was reached. We compared the results obtained through our method with the ones obtained by three skilled technicians processing 75 tissue blocks. The proposed method identified the trimming-end cutting routine approximately as accurate as the technicians did, yielding up to 90% of trimmed blocks of optimal quality and evidencing the potential of this tool in future automated trimming instruments. We deployed our method to an Edge TPU hardware accelerator to showcase its capability to provide immediate and objective results at every microtomy station applied with an ad hoc hardware, potentially guaranteeing a throughput 50% higher than manual trimming.

Application of a Rogowski Coil Sensor for Separating Internal and External Partial Discharge Pulses in Power Transformers

Partial discharge (PD) measurement is an essential tool for evaluating the health condition of a transformer insulation system. The Conventional PD measurement systems have a major drawback since they cannot discriminate the internal PD pulses and external pulse-shaped interferences, especially in online and on-site conditions. Various de-noising techniques (e.g. wavelets) have been also used in the literature, which is effective for extracting the PD signal from the noisy signals or classifying the PD types. However, the PD pulses and some of the randomly external pulse-shaped interferences have similar time-frequency characteristics, which makes them difficult to separate. In this paper, a new cost-effective and simple logic method is proposed for the separation of these interferences. This uses the polarity comparison of the output voltages of the Rogowski Coil (RC) sensor, mounted on the bushing, and measurement impedance, connected to the test tap. The same polarity represents the internal pulse, while the opposite polarity indicates the external pulses. A distribution transformer ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$20/0.4\ {\bm{kV}},\ 500\ {\bm{kVA}})$</tex-math></inline-formula> and a condenser bushing ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$72.5\ {\bm{kV}})$</tex-math></inline-formula> were considered to evaluate the performance of the proposed system. The results confirm the effectiveness of the proposed PD measurement system for separating the pulses.

Sonographer interaction with artificial intelligence: collaboration or conflict?

Ultrasound in Obstetrics & GynecologyAccepted Articles Opinion Sonographer interaction with artificial intelligence: collaboration or conflict? T. G. Day, Corresponding Author T. G. Day [email protected] orcid.org/0000-0001-8391-7903 Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKCorrespondence to: Dr T. G. Day: Fetal Cardiology Unit, South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, UK, E-mail: [email protected]Search for more papers by this authorJ. Matthew, J. Matthew orcid.org/0000-0003-4754-0322 Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorS. Budd, S. Budd Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorJ. V. Hajnal, J. V. Hajnal Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorJ. M. Simpson, J. M. Simpson Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorR. Razavi, R. Razavi Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorB. Kainz, B. Kainz Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Department of Computing, Faculty of Engineering, Imperial College London, London, UKSearch for more papers by this author T. G. Day, Corresponding Author T. G. Day [email protected] orcid.org/0000-0001-8391-7903 Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKCorrespondence to: Dr T. G. Day: Fetal Cardiology Unit, South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, UK, E-mail: [email protected]Search for more papers by this authorJ. Matthew, J. Matthew orcid.org/0000-0003-4754-0322 Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorS. Budd, S. Budd Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorJ. V. Hajnal, J. V. Hajnal Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorJ. M. Simpson, J. M. Simpson Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorR. Razavi, R. Razavi Department of Congenital Cardiology, Evelina London Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UKSearch for more papers by this authorB. Kainz, B. Kainz Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Department of Computing, Faculty of Engineering, Imperial College London, London, UKSearch for more papers by this author First published: 01 May 2023 https://doi.org/10.1002/uog.26238 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/uog.26238. AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation

Group work dynamics and the role of leadership in face‐to‐face and online second language classes

AbstractThis study aimed to investigate how having a student in a leader role impacts group work dynamics (GWD) in face‐to‐face (FTF) and online communication. A total of 144 pre‐intermediate English learners worked in groups of three on a picture‐description task under one of the four conditions: with or without a leader in FTF or online settings. All exchanges were recorded, transcribed, and analyzed using a GWD measuring instrument to explore the process of GWD. The results showed that GWD scores were lower in the online condition than in FTF, particularly when there was no designated leader. Furthermore, when comparing the GWD scores of the leader‐role students and other students, leaders consistently scored higher across most GWD characteristics, regardless of communication mode. This study suggests that assigning a leader‐role student can facilitate group work activities, especially in online communication. It sheds light on students’ behaviors in group work contexts and highlights the importance of leadership in promoting effective group work.

Research on loom on-board condition monitoring technology based on fuzzy rough set and improved DSmT theory1

The foundation of textile machinery digitization and intelligence is condition monitoring and identification. Online condition monitoring of looms is of great significance to ensure their long-term stable operation and improve their digital management level. However, the existing loom condition monitoring methods have problems such as insufficient depth of information mining, low condition recognition rate and poor system versatility. As a result, the loom on-board condition monitoring technology based on fuzzy rough set and improved DSmT theory is studied. To begin, we examine the loom operation mechanism, loom state characterization, and loom state feature data composition. Then, using the fuzzy rough set method, we analyze and make decisions on the loom state feature data, apply the theory of uncertainty and importance improvement DSmT fusion to solve the uncertainty problem of the rough set method’s decision rules, and build the loom state feature decision network on the embedded terminal using the decision rules. Meanwhile, to collect, communicate, display, and alarm loom characteristic data, this paper employs the STM32F407ZET6 microcontroller and designs a loom system status data collection platform with the AD7730 as the core, as well as tests loom status monitoring data collection and loom status data analysis and decision method based on this platform. The experimental findings show the usefulness of attribute data gathering as well as data analysis and decision-making processes. The technology enhances the precision of loom condition identification and decision making, as well as the safety and quality of manufacturing. It is critical for carrying out applications like as problem detection, remote monitoring, efficiency optimization, and intelligent weaving machine management.

To Whale or Not to Whale: Repeated Purchase Behavior Paid Players in Genshin Impact

Online games are a means of entertainment for people of all ages and can be easily accessed by anyone. Games or online games that are becoming a trend today are socially interactive video games. These online games invite friends, family, and others to join and participate in ongoing games. This study investigates factors influencing repurchase decisions and intentions among online game players, Genshin Impact, in DKI Jakarta. A quantitative research method was employed, utilizing Partial Least Square with SmartPLS software, and a sample of 500 respondents was analyzed. The variables examined include online game service, game authenticity, social influence, facilitating online conditions, hedonic motivations, price value, habit, repurchase intention, and repurchase decision. The findings reveal that game authenticity, facilitating online conditions, and habit positively influence repurchase intention, while online game services negatively affect it. However, social influence, hedonic motivation, and price value do not significantly impact repurchase intention. In terms of repurchase decisions, facilitating online conditions, hedonic motivation, price value, and repurchase intention have a positive influence, whereas social influence and habit exert a negative effect. Online game services and game authenticity do not significantly influence repurchase decisions. The study also found that repurchase intention mediates the positive impact of game authenticity, facilitating online conditions and habits on repurchase decisions, and the negative impact of online game service on repurchase decisions. However, it does not mediate the effects of social influence, hedonic motivation, and price value on repurchase decisions.

A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions

The acoustic emission (AE) technique is known for its sensitivity to early damage and is well-suited for online condition monitoring of rolling element bearings (REBs) in various industrial application scenarios. Nonetheless, identifying weak faults under varying speed and strong background noise conditions still remains challenging. In addition, the comprehensive modelling of AE signal from faulty REB in electromechanical systems is still a pending issue. In light of this, a well-considered model is firstly developed for the AE signal of faulty REBs in this work. After that, a novel bearing fault diagnosis framework based on semantic segmentation networks is devised. Precisely, the proposed framework consists of three main components: a preprocessing step depending on the signal segmentation algorithm, a diagnosis step using fault fingerprint mapping, and a postprocessing evaluation step supplemented by a density peak clustering (DPC) approach. We evaluate the presented procedures through simulation analysis and an experimental case under varying speed conditions. Meanwhile, the comparison with the original threshold-based fault fingerprint recognition algorithm is also conducted. The comprehensive results demonstrate the efficacy of identifying fault-associated fingerprint feature (FPF), indicating that the proposed framework holds promise for condition monitoring.

Vitamin C as an adjunct to methenamine hippurate use after ALTAR: ego or evidence-based?

BJU InternationalAccepted Articles Comment Vitamin C as an adjunct to methenamine hippurate use after ALTAR: ego or evidence-based? Kandice Keogh, Kandice Keogh Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia Faculty of Medicine, The University of Queensland, Brisbane, AustraliaSearch for more papers by this authorHarry Collin, Harry Collin orcid.org/0000-0002-5630-6047 Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, AustraliaSearch for more papers by this authorCaroline Dowling, Caroline Dowling Department of Urology, Eastern Health, Melbourne, Vic, AustraliaSearch for more papers by this authorMatthew J. Roberts, Corresponding Author Matthew J. Roberts [email protected] orcid.org/0000-0003-0552-7402 Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia Faculty of Medicine, The University of Queensland, Brisbane, Australia University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, AustraliaCorrespondence: A/Prof Matthew Roberts, Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia 4006. e-mail: [email protected], Phone: +61 422 378 975, Fax: +61 7 3646 1711Search for more papers by this author Kandice Keogh, Kandice Keogh Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia Faculty of Medicine, The University of Queensland, Brisbane, AustraliaSearch for more papers by this authorHarry Collin, Harry Collin orcid.org/0000-0002-5630-6047 Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, AustraliaSearch for more papers by this authorCaroline Dowling, Caroline Dowling Department of Urology, Eastern Health, Melbourne, Vic, AustraliaSearch for more papers by this authorMatthew J. Roberts, Corresponding Author Matthew J. Roberts [email protected] orcid.org/0000-0003-0552-7402 Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia Faculty of Medicine, The University of Queensland, Brisbane, Australia University of Queensland Centre for Clinical Research, Faculty of Medicine, Brisbane, AustraliaCorrespondence: A/Prof Matthew Roberts, Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia 4006. e-mail: [email protected], Phone: +61 422 378 975, Fax: +61 7 3646 1711Search for more papers by this author First published: 12 June 2023 https://doi.org/10.1111/bju.16096 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi:10.1111/bju.16096. AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation

Barbro Westerholm, 1933-2023.

Pharmacoepidemiology and Drug SafetyAccepted Articles COMMENTARY Barbro Westerholm, 1933-2023 Ulf Bergman, Ulf Bergman orcid.org/0000-0003-4654-2211 Search for more papers by this author Ulf Bergman, Ulf Bergman orcid.org/0000-0003-4654-2211 Search for more papers by this author First published: 21 June 2023 https://doi.org/10.1002/pds.5657 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/pds.5657. AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation

Spastic Paraplegia Type 30 Associated with Levodopa-Responsive Parkinsonism.

Movement Disorders Clinical PracticeAccepted Articles LETTERS: GENOTYPE AND PHENOTYPE Spastic paraplegia type 30 associated with levodopa-responsive parkinsonism Amy Gallagher MB MRCPI, Corresponding Author Amy Gallagher MB MRCPI [email protected] orcid.org/0000-0003-2068-5628 Department of Neurology, Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, Ireland Correspondence to: Amy Gallagher, Dublin Neurological Institute, 57 Eccles Street, Dublin 7, Co. Dublin, Ireland, E-mail: [email protected]Search for more papers by this authorConor Fearon BE MB PhD, Conor Fearon BE MB PhD orcid.org/0000-0002-8172-6094 Department of Neurology, Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, Ireland Department of Neurology, St Vincent's University Hospital, Elm Park, Dublin Health Affairs, University College DublinSearch for more papers by this authorKathryn Smith, Kathryn Smith Department of Neurology, Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, IrelandSearch for more papers by this authorTimothy Lynch MB, FRCPI, FRCP, MD, Timothy Lynch MB, FRCPI, FRCP, MD Department of Neurology, Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, Ireland Health Affairs, University College DublinSearch for more papers by this author Amy Gallagher MB MRCPI, Corresponding Author Amy Gallagher MB MRCPI [email protected] orcid.org/0000-0003-2068-5628 Department of Neurology, Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, Ireland Correspondence to: Amy Gallagher, Dublin Neurological Institute, 57 Eccles Street, Dublin 7, Co. Dublin, Ireland, E-mail: [email protected]Search for more papers by this authorConor Fearon BE MB PhD, Conor Fearon BE MB PhD orcid.org/0000-0002-8172-6094 Department of Neurology, Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, Ireland Department of Neurology, St Vincent's University Hospital, Elm Park, Dublin Health Affairs, University College DublinSearch for more papers by this authorKathryn Smith, Kathryn Smith Department of Neurology, Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, IrelandSearch for more papers by this authorTimothy Lynch MB, FRCPI, FRCP, MD, Timothy Lynch MB, FRCPI, FRCP, MD Department of Neurology, Dublin Neurological Institute at the Mater Misericordiae University Hospital, Dublin, Ireland Health Affairs, University College DublinSearch for more papers by this author First published: 15 June 2023 https://doi.org/10.1002/mdc3.13815 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/mdc3.13815. AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation

Root cause to upstream: Interprofessional learning focused on early childhood caries.

Journal of Dental EducationAccepted Articles ADVANCING THROUGH INNOVATION Root cause to upstream: Interprofessional learning focused on early childhood caries Dr. Amrinderbir Singh BDSMPH, Corresponding Author Dr. Amrinderbir Singh BDSMPH [email protected] Dental Public Health, Inclusive Community Outreach, College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada Correspondence Dr. Amrinderbir Singh BDS, MPH, Assistant Professor- Dental Public Health, Director- Inclusive Community Outreach, GA 10.6, Health Sciences A-Wing, 107 Wiggins Road, Saskatoon SK S7N5E5, College of Dentistry, University of Saskatchewan. Email: [email protected]Search for more papers by this authorDr. Sheryl Mills PhD, Dr. Sheryl Mills PhD Academic Programs and Interprofessional Education, USask Health Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, CanadaSearch for more papers by this author Dr. Amrinderbir Singh BDSMPH, Corresponding Author Dr. Amrinderbir Singh BDSMPH [email protected] Dental Public Health, Inclusive Community Outreach, College of Dentistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada Correspondence Dr. Amrinderbir Singh BDS, MPH, Assistant Professor- Dental Public Health, Director- Inclusive Community Outreach, GA 10.6, Health Sciences A-Wing, 107 Wiggins Road, Saskatoon SK S7N5E5, College of Dentistry, University of Saskatchewan. Email: [email protected]Search for more papers by this authorDr. Sheryl Mills PhD, Dr. Sheryl Mills PhD Academic Programs and Interprofessional Education, USask Health Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, CanadaSearch for more papers by this author First published: 24 June 2023 https://doi.org/10.1002/jdd.13304 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as https://doi.org/10.1002/jdd.13304 AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation

Generative AI use in dental education: Efficient exam item writing.

Journal of Dental EducationAccepted Articles ADVANCING THROUGH INNOVATION Generative AI Use in Dental Education: Efficient Exam Item Writing Margeaux Johnson, Margeaux Johnson College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United StatesSearch for more papers by this authorAna P Ribeiro, Ana P Ribeiro orcid.org/0000-0003-0840-4205 College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United StatesSearch for more papers by this authorTiffany M Drew, Tiffany M Drew College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United StatesSearch for more papers by this authorPatricia N R Pereira, Corresponding Author Patricia N R Pereira [email protected] College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United States Correspondence Patricia N. R. Pereira, College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United States. Email: [email protected]Search for more papers by this author Margeaux Johnson, Margeaux Johnson College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United StatesSearch for more papers by this authorAna P Ribeiro, Ana P Ribeiro orcid.org/0000-0003-0840-4205 College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United StatesSearch for more papers by this authorTiffany M Drew, Tiffany M Drew College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United StatesSearch for more papers by this authorPatricia N R Pereira, Corresponding Author Patricia N R Pereira [email protected] College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United States Correspondence Patricia N. R. Pereira, College of Dentistry, University of Florida, Restorative Dental Sciences, Division of Operative Dentistry, Gainesville, Florida, United States. Email: [email protected]Search for more papers by this author First published: 24 June 2023 https://doi.org/10.1002/jdd.13294 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as https://doi.org/10.1002/jdd.13294 AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation

Innovative three-dimensional models for space management training in pediatric dentistry.

Journal of Dental EducationAccepted Articles ADVANCING THROUGH INNOVATION Innovative three-dimensional models for space management training in pediatric dentistry Chaitanya P. Puranik B.D.S.M.S.M.Dent.Sci.PhD, Corresponding Author Chaitanya P. Puranik B.D.S.M.S.M.Dent.Sci.PhD [email protected] orcid.org/0000-0002-6500-0664 Dr. Puranik is the Director of Predoctoral Education in Pediatric Dentistry, Department of Pediatric Dentistry, Children's Hospital Colorado and School of Dental Medicine, University of Colorado Anschutz Medical Campus, Aurora, USA Correspondence Chaitanya P. Puranik, BDS, MS, MDentSci, PhD, Assistant Professor and Director of Predoctoral Education, Department of Pediatric Dentistry, Children's Hospital Colorado and School of Dental Medicine, University of Colorado Anschutz Medical Campus. 13123 East 16th Avenue, Box B240, Aurora, CO 80045. Email: [email protected]Search for more papers by this authorGabriela Ortiz, Gabriela Ortiz orcid.org/0000-0002-1334-9143 Mss. Ortiz and Moreno are Bioengineering graduate students, University of Colorado, Denver, USASearch for more papers by this authorAlyssa Moreno, Alyssa Moreno Mss. Ortiz and Moreno are Bioengineering graduate students, University of Colorado, Denver, USASearch for more papers by this authorTracy de Peralta D.M.D.Ph.D.M.Clin.Ed., Tracy de Peralta D.M.D.Ph.D.M.Clin.Ed. Dr. de Peralta is the Senior Associate Dean of Academic Affairs and Innovation at the School of Dental Medicine, University of Colorado Anschutz Medical Campus, Aurora, USASearch for more papers by this author Chaitanya P. Puranik B.D.S.M.S.M.Dent.Sci.PhD, Corresponding Author Chaitanya P. Puranik B.D.S.M.S.M.Dent.Sci.PhD [email protected] orcid.org/0000-0002-6500-0664 Dr. Puranik is the Director of Predoctoral Education in Pediatric Dentistry, Department of Pediatric Dentistry, Children's Hospital Colorado and School of Dental Medicine, University of Colorado Anschutz Medical Campus, Aurora, USA Correspondence Chaitanya P. Puranik, BDS, MS, MDentSci, PhD, Assistant Professor and Director of Predoctoral Education, Department of Pediatric Dentistry, Children's Hospital Colorado and School of Dental Medicine, University of Colorado Anschutz Medical Campus. 13123 East 16th Avenue, Box B240, Aurora, CO 80045. Email: [email protected]Search for more papers by this authorGabriela Ortiz, Gabriela Ortiz orcid.org/0000-0002-1334-9143 Mss. Ortiz and Moreno are Bioengineering graduate students, University of Colorado, Denver, USASearch for more papers by this authorAlyssa Moreno, Alyssa Moreno Mss. Ortiz and Moreno are Bioengineering graduate students, University of Colorado, Denver, USASearch for more papers by this authorTracy de Peralta D.M.D.Ph.D.M.Clin.Ed., Tracy de Peralta D.M.D.Ph.D.M.Clin.Ed. Dr. de Peralta is the Senior Associate Dean of Academic Affairs and Innovation at the School of Dental Medicine, University of Colorado Anschutz Medical Campus, Aurora, USASearch for more papers by this author First published: 15 June 2023 https://doi.org/10.1002/jdd.13295 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as https://doi.org/10.1002/jdd.13295 AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation

Virtual student mobility: New opportunity on the horizon of undergraduate dental education.

Journal of Dental EducationAccepted Articles ADVANCING THROUGH INNOVATION Virtual student mobility: New opportunity on the horizon of undergraduate dental education Smita Nimbalkar BDSMDS, Smita Nimbalkar BDSMDS School of Dentistry, International Medical University, MalaysiaSearch for more papers by this authorSeow Liang Lin BDSMScPhDFDSRCSPHCHPE, Seow Liang Lin BDSMScPhDFDSRCSPHCHPE School of Dentistry, International Medical University, MalaysiaSearch for more papers by this authorMuneer Gohar Babar BDSDHP&MMDScMPH, Muneer Gohar Babar BDSDHP&MMDScMPH School of Dentistry, International Medical University, MalaysiaSearch for more papers by this authorSivakumar Arunachalam BDSMDSMOrth RCSFDS RCSPGCHPE, Corresponding Author Sivakumar Arunachalam BDSMDSMOrth RCSFDS RCSPGCHPE [email protected] orcid.org/0000-0001-5300-5102 School of Dentistry, International Medical University, Malaysia Correspondence Dr. Sivakumar Arunachalam, Associate Professor, Associate Dean, Quality and Stakeholders Engagement, School of Dentistry, International Medical University, Malaysia. Email: [email protected]Search for more papers by this author Smita Nimbalkar BDSMDS, Smita Nimbalkar BDSMDS School of Dentistry, International Medical University, MalaysiaSearch for more papers by this authorSeow Liang Lin BDSMScPhDFDSRCSPHCHPE, Seow Liang Lin BDSMScPhDFDSRCSPHCHPE School of Dentistry, International Medical University, MalaysiaSearch for more papers by this authorMuneer Gohar Babar BDSDHP&MMDScMPH, Muneer Gohar Babar BDSDHP&MMDScMPH School of Dentistry, International Medical University, MalaysiaSearch for more papers by this authorSivakumar Arunachalam BDSMDSMOrth RCSFDS RCSPGCHPE, Corresponding Author Sivakumar Arunachalam BDSMDSMOrth RCSFDS RCSPGCHPE [email protected] orcid.org/0000-0001-5300-5102 School of Dentistry, International Medical University, Malaysia Correspondence Dr. Sivakumar Arunachalam, Associate Professor, Associate Dean, Quality and Stakeholders Engagement, School of Dentistry, International Medical University, Malaysia. Email: [email protected]Search for more papers by this author First published: 15 June 2023 https://doi.org/10.1002/jdd.13299 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as https://doi.org/10.1002/jdd.13299 AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Accepted ArticlesAccepted, unedited articles published online and citable. The final edited and typeset version of record will appear in the future. RelatedInformation