bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tunable and inhomogeneous current-induced THz-oscillation dynamics in the ferrimagnetic spin-chain
Authors: Cai Baofang , Zhang Xue , Zhu Zhifeng , Liang Gengchiau 
Published: March 2024

AbstractFerrimagnets perform versatile properties, attributed to their antiferromagnetic sublattice coupling and finite net magnetization. Despite extensive research, the inhomogeneous dynamics in ferrimagnets, including domain walls and magnons, remain not fully understood. Therefore, we adopted a multi-spin model by considering the effect of the spin torques and explored the localized phase-dependent and inhomogeneous THz-oscillation dynamics in a ferrimagnetic spin-chain. Our results demonstrate that the exchange oscillation mode, induced by spin transfer torque, exhibits three typical phases, and the oscillation frequency is dominated by a joint effective field derived in the spin-chain. We also found that the localized spin configurations can be used to tune the bandwidth and sensitivity of the frequency response. Furthermore, we propose an anti-parallel exchange length to reveal the inhomogeneity in the ferrimagnetic spin-chain, which could serve as a valuable tool for characterizing the spin dynamics of these systems. Our findings offer understandings beyond uniform spin-dynamics in ferrimagnets.
Thermoelastic effects in Bragg reflectors as a potential bottleneck for XFELs with megahertz repetition rate
Authors: Bahns Immo , Rauer Patrick , Rossbach Jörg , Steinlechner Sebastian , Sinn Harald 
Published: March 2024

AbstractBragg reflectors are essential for beam transport in X-ray free-electron laser (XFEL) facilities. On interaction with Bragg reflectors, a part of the pulse energy will be absorbed, causing the propagation of displacement waves due to rapid thermal expansion. It is suspected that these waves may cause stability problems for XFELs operating with megahertz repetition rates. Here, we experimentally investigate the displacement of a diamond Bragg reflector induced by an optical ultra-violet laser pulse, simulating XFEL pulses with mJ pulse energy, both at room temperature and cryogenic temperatures. Our experiment shows negligible damping of the displacement waves on µs timescales, which could cause disruption for subsequent XFEL pulses. We compare our measurements to a simulation framework based on the assumptions of local thermodynamic equilibrium and classical mechanics, observing reasonable agreement. Our results show that thermoelastic effects are critical for a reliable stability assessment of Bragg reflectors, but are often overlooked.
Collective motion in a sheet of microswimmers
Authors: Bárdfalvy Dóra , Škultéty Viktor , Nardini Cesare , Morozov Alexander , Stenhammar Joakim 
Published: March 2024

AbstractSelf-propelled particles such as bacteria or algae swimming through a fluid are non-equilibrium systems where particle motility breaks microscopic detailed balance, often resulting in large-scale collective motion. Previous theoretical work has identified long-ranged hydrodynamic interactions as the driver of collective motion in unbounded suspensions of rear-actuated (“pusher”) microswimmers. In contrast, most experimental studies of collective motion in microswimmer suspensions have been carried out in restricted geometries where both the swimmers’ motion and their long-range flow fields become altered due to the proximity of a boundary. Here, we study numerically a minimal model of microswimmers in such a restricted geometry, where the particles move in the midplane between two no-slip walls. For pushers, we demonstrate collective motion with short-ranged order, in contrast with the long-ranged flows observed in unbounded systems. For front-actuated (“puller”) microswimmers, we discover a long-wavelength density instability resulting in the formation of dense microswimmer clusters. Both types of collective motion are fundamentally different from their previously studied counterparts in unbounded domains. Our results show that this difference is dictated by the geometrical restriction of the swimmers’ motion, while hydrodynamic screening due to the presence of a wall is subdominant in determining the suspension’s collective state.
The appeal of cities may not wane due to the COVID-19 pandemic and remote working
Authors: Sharifi Ayyoob , Lee Chui Ying 
Published: March 2024

AbstractAmidst the COVID-19 pandemic, speculations on the decline of major cities have surged, with studies noting temporary population decreases across various cities worldwide. However, research scarcely addresses the pandemic’s enduring influence on perceptions of city living. Rather than exploring mid- to long-term impacts, current literature focuses mainly on comparing changes in residential preferences during and before the pandemic. To fill this gap, we conducted a randomized conjoint experiment to scrutinize altered residential preferences and attitudes toward residing in the Tokyo Metropolis due to the pandemic. Scenarios encompassed reminders of potential pandemic re-occurrence and teleworking options. Despite variations depending on the scenarios and socio-demographic characteristics of the survey participants, overall, results show that the COVID-19 pandemic and the surge in remote working did not diminish the allure of Tokyo, implying a low probability of an urban decline. These outcomes advocate for compact urban development to bolster resilience against forthcoming stressors like climate change.
Stratospheric impact on subseasonal forecast uncertainty in the northern extratropics
Authors: Spaeth Jonas , Rupp Philip , Garny Hella , Birner Thomas 
Published: March 2024

AbstractExtreme states of the polar stratospheric circulation during winter tend to be followed by anomalies in the near-surface circulation for several weeks, especially over the North Atlantic/Eurasia (NAE) sector. Previous research has highlighted an associated robust increase in subseasonal to seasonal (S2S) forecast skill related to forecast ensemble mean anomalies. Here we explore the additional impact of polar stratospheric circulation extremes on ensemble spread, a key measure of forecast uncertainty and the associated predictability. We find that over the Norwegian Sea and around Scandinavia S2S ensemble spread in near-surface geopotential height is significantly reduced following weak polar vortex states (enhanced predictability), whereas it is increased following strong polar vortex states (reduced predictability), with anomaly magnitudes reaching as high as 20%. Notably, modulations of forecast uncertainty are found even over regions of near-zero ensemble mean anomaly. We find decreased forecast uncertainty to be linked to decreased synoptic-scale storm activity and vice versa for increased forecast uncertainty. Our results furthermore suggest that modulation of S2S forecast uncertainty by the stratosphere dominates over NAE, whereas over the North Pacific modulations due to El Niño/ La Niña are more important.
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
Authors: Tayebi Arasteh Soroosh , Ziller Alexander , Kuhl Christiane , Makowski Marcus , Nebelung Sven , Braren Rickmer , Rueckert Daniel , Truhn Daniel , Kaissis Georgios 
Published: March 2024

Abstract
Background
Artificial intelligence (AI) models are increasingly used in the medical domain. However, as medical data is highly sensitive, special precautions to ensure its protection are required. The gold standard for privacy preservation is the introduction of differential privacy (DP) to model training. Prior work indicates that DP has negative implications on model accuracy and fairness, which are unacceptable in medicine and represent a main barrier to the widespread use of privacy-preserving techniques. In this work, we evaluated the effect of privacy-preserving training of AI models regarding accuracy and fairness compared to non-private training.

Methods
We used two datasets: (1) A large dataset (N = 193,311) of high quality clinical chest radiographs, and (2) a dataset (N = 1625) of 3D abdominal computed tomography (CT) images, with the task of classifying the presence of pancreatic ductal adenocarcinoma (PDAC). Both were retrospectively collected and manually labeled by experienced radiologists. We then compared non-private deep convolutional neural networks (CNNs) and privacy-preserving (DP) models with respect to privacy-utility trade-offs measured as area under the receiver operating characteristic curve (AUROC), and privacy-fairness trade-offs, measured as Pearson’s r or Statistical Parity Difference.

Results
We find that, while the privacy-preserving training yields lower accuracy, it largely does not amplify discrimination against age, sex or co-morbidity. However, we find an indication that difficult diagnoses and subgroups suffer stronger performance hits in private training.

Conclusions
Our study shows that – under the challenging realistic circumstances of a real-life clinical dataset – the privacy-preserving training of diagnostic deep learning models is possible with excellent diagnostic accuracy and fairness.
Perceptions of Hearing Health Care: A Qualitative Analysis of Satisfied and Dissatisfied Online Reviews
Authors: van Bruggen Sanchia , Bennett Rebecca Jane , Manchaiah Vinaya , Jager Leigh Biagio-de , Swanepoel De Wet 
Published: March 2024

Purpose:
The aim of this study was to examine the hearing health care experience of satisfied and dissatisfied consumers as reported on Google reviews.

Method:
Using qualitative thematic analysis, open-text responses from Google regarding hearing health care clinics across 40 U.S. cities were examined. During the original search, 13,168 reviews were identified. Purposive sampling led to a total of 8,420 five-star reviews and 321 one-star reviews. The sample consisted of 500 five-star (satisfied) and 234 one-star (dissatisfied) reviews, describing experiences with audiology clinics, excluding reviews related to ear, nose, and throat services; other medical specialties; and those not relevant to hearing health care.

Results:
Satisfied and dissatisfied consumer reviews yielded nuanced dimensions of the hearing health care consumer experience, which were grouped into distinct domains, themes, and subthemes. Six and seven domains were identified from the satisfied and dissatisfied reviews, encompassing 23 and 26 themes, respectively. The overall experience domain revealed emotions ranging from contentment and gratitude to dissatisfaction and waning loyalty. The clinical outcomes domain highlights the pivotal contribution of well-being and hearing outcomes to the consumer experience, while the standard of care domain underscores shared expectations for punctuality, person-centered care, and efficient communication. Facility quality, professional competence, and inclusive care were also highlighted across positive and negative reviews.

Conclusions:
Findings indicate dimensions of satisfied and dissatisfied hearing health care consumer experiences, identifying areas for potential service refinement. These consumer experiences inform person-centric service delivery in hearing health care.
Provisioning edge computing services in urban areas through the chaining of unmanned aerial vehicles: A genetic approach
Authors: Tang Zhihai , Huang AiWen , Chang Le 
Published: March 2024

AbstractEdge computing has been proved an efficient approach to provisioning computation offloading service to vehicles on road through Road‐Side Units (RSUs). However, the traffic volume on road is highly dynamic, while RSU‐based edge servers are static in terms of geographical location and computation capacity. To address this problem, this paper proposes a mobile edge server placement strategy using cruising UAVs along the roads based on the genetic algorithm. A mathematical model is first built to characterize the deployment cost of these UAV‐mounted servers and their routes. Next, a heuristic UAV‐mounted edge server deployment scheme based on K‐medoid clustering and genetic algorithms is designed. Experimental results verify that the proposed UAV deployment scheme satisfies the offloading demand of IoV nodes while reducing the total deployment cost by 17.05–48.94% compared with existing popular approaches.
Preventive framework for resilience enhancement in networked microgrids: A focus on hydrogen integration and optimal energy management
Authors: Amini Saeed , Safarzadeh Omid , Mozafari Babak 
Published: March 2024

AbstractThe integration of distributed energy resources and smart grid technologies has increased the vulnerability and complexity of modern power systems, especially in the face of extreme events. Enhancing the resilience of power systems is crucial to ensure continuous and reliable electricity supply during and after such events. This paper proposes a preventive framework to enhance the resilience of networked microgrids (NMGs) during extreme events. The framework integrates optimal energy management strategies and preventive resilience enhancement measures, focusing on the coordination and utilization of hydrogen (H2) energy systems and controllable distributed generators (CDGs). The framework leverages capacity‐based signals to prompt H2 system owners and CDG operators to prepare for disruptions by fully charging H2 storage tanks and pre‐scheduling CDG commitments. By utilizing this proactive energy scheduling, critical loads can be supplied through stationary fuel cells and CDGs, improving overall network resilience. The proposed resilient energy management approach combines optimization techniques to improve the resilience of NMGs and reduce their dependence on the main grid. Numerical simulations demonstrate the effectiveness of the proposed linear model in enhancing the resilience of NMGs and improving their operational performance during extreme events. The contributions of this paper include advancements in understanding NMGs, the development of a preventive framework, integration of H2 energy systems and CDGs, and proposal of effective signalling models.
Smart grid optimization considering decentralized power distribution and demand side management
Authors: Afsari Fatemeh , Ahmadi Jirdehi Mehdi 
Published: March 2024

AbstractThe increasing integration of microgrids into distribution networks has highlighted the significance of evaluating and managing intelligent microgrids from both technical and economic perspectives. In this paper, a decentralized approach using agents is employed to optimize the operation of an intelligent microgrid within the telecommunications platform. The decentralized control method comprises two layers. The first layer represents the main microgrid, which includes loads and their controllers, as well as renewable and conventional resources. In the secondary layer, there is a telecommunication platform in which agents can operate as a control processor along with the means of communication. It should be noted that agents interact with the primary layer and neighbouring agents and exchange information with each other. This exchange takes place until the best state of optimization for the power supply occurs. In this study, the operation cost is calculated for decentralized control rules and considering telecommunication links. Also, the effect of performance on cost reduction is examined and compared with normal conditions and centralized methods. It can be seen that the operation cost of the network has decreased to 9.034% after the implementation of the mentioned method in comparison with the normal condition and it has decreased to 6.957% in comparison with the centralized method. Then, using a demand side management program, the cost will be reduced by 2.5%. In the next step, the uncertainty of available resources is taken into account where the uncertainties increase the cost by 7.8%.
Interpretable vision transformer based on prototype parts for COVID‐19 detection
Authors: Xu Yang , Meng Zuqiang 
Published: March 2024

AbstractOver the past few years, the COVID‐19 virus has had a significant impact on the physical and mental health of people around the world. Therefore, in order to effectively distinguish COVID‐19 patients, many deep learning efforts have used chest medical images to detect COVID‐19. As with model accuracy, interpretability is also important in the work related to human health. This work introduces an interpretable vision transformer that uses the prototype method for the detection of positive patients with COVID‐19. The model can learn the prototype features of each category based on the structural characteristics of ViT. The predictions of the model are obtained by comparing all the features of the prototype in the designed prototype block. The proposed model was applied to two chest X‐ray datasets and one chest CT dataset, achieving classification performance of 99.3%, 96.8%, and 98.5% respectively. Moreover, the prototype method can significantly improve the interpretability of the model. The decisions of the model can be interpreted based on prototype parts. In the prototype block, the entire inference process of the model can be shown and the predictions of the model can be demonstrated to be meaningful through the visualization of the prototype features.
A review of intentional electromagnetic interference in power electronics: Conducted and radiated susceptibility
Authors: Jie Huamin , Zhao Zhenyu , Zeng Yu , Chang Yongqi , Fan Fei , Wang Changdong , See Kye Yak 
Published: March 2024

AbstractWith the advancements in Industry 4.0 and the global demand for sustainable energy, power electronics devices are emerging as pivotal components for modern industrial, transportation, and energy delivery. Ensuring the security of these devices is of paramount importance for safeguarding the reliable operation of critical systems against any threats. In recent years, the issue of intentional electromagnetic interference (IEMI) attack and their related countermeasures have gained widespread attention in both military and civilian power electronics sectors. Here, a review of IEMI in power electronics is provided. Starting from the electromagnetic compatibility standards, the test setups for evaluating the device immunity are introduced. Due to different attack modes and propagation paths, IEMI illuminations are typically categorized into conduction and radiation, where their susceptibility studies, applications, and defence strategies are discussed, respectively. Finally, the existing challenges, ongoing trends, and future topics in this field are discussed.
Upgrades of the ESPERTA forecast tool for solar proton events
Authors: Laurenza Monica , Stumpo Mirko , Zucca Pietro , Mancini Mattia , Benella Simone , Clark Liam , Alberti Tommaso , Marcucci Maria Federica 
Published: March 2024

The Empirical model for Solar Proton Events Real Time Alert (ESPERTA) exploits three solar parameters (flare longitude, soft X-ray fluence, and radio fluence) to provide a timely prediction for the occurrence of solar proton events (SPEs, i.e., when the >10MeV proton flux is ≥10 pfu) after the emission of a ≥M2 flare. In addition, it makes a prediction for the most dangerous SPEs for which the >10 MeV proton flux is ≥100 pfu. In this paper, we study two different ways to upgrade the ESPERTA model and implement it in real time: 1) by using ground based observations from the LOFAR stations; 2) by applying a novel machine learning algorithm to flare-based parameters to provide early warnings of SPE occurrence together with a fine-tuned radiation storm level. As a last step, we perform a preliminary study using a neural network to forecast the proton flux 1-hour ahead to complement the ESPERTA tool. We evaluate the models over flare and SPE data covering the last two solar cycles and discuss their performance, limits, and advantages.
Remote operation of cross-sectional imaging devices as a new form of teleoperation: Structural, technical, regulatory, and qualification aspects in Germany
Authors: Deistung Andreas , Gussew Alexander , Schneider Jens , Beblacz Alexander , Pech Maciej , Wohlgemuth Walter A. 
Published: March 2024

Background There is a significant shortage of radiographers in Germany and this shortage is expected to increase. Thus, it is becoming increasingly difficult for radiological facilities to adequately provide their services for the required period of time. Teleradiology has already been established for electronic transmission of diagnostic radiographic imaging examinations between two geographical locations for diagnostic reporting. Recently, the concept of teleoperating radiological devices has become increasingly attractive.
Method We examined the potential of teleoperating magnetic resonance imaging (MRI) in radiological facilities within the German regulatory framework in order to address the shortage of qualified personnel. To this end, we are introducing the concept of remote scanning, the structural foundations, the technical requirements associated with it, as well as the legal and educational qualifications of the relevant professional groups. Furthermore, suggestions regarding nomenclature and necessary standard operating procedures to efficiently integrate teleoperation into a clinical workflow adhering to high patient safety standards are provided.
Results Companies provide technical solutions or even experienced radiographers as a service on demand for teleoperating radiological imaging devices remotely from a distance. There should be a comprehensive on-site strategy to effectively embed remote scanning into clinics. Local information technology and data security institutions should be involved in implementation. In order to guarantee that the remote operation workflow is able to provide health care services in line with regulative and legal standards, it is essential to implement standardized personal and institutional training, certifications, and accreditation procedures. Standard operating procedures (SOPs) and checklists for the involved staff, which are adapted to the local workflow in the participating facilities, are beneficial.
Conclusion Remote MRI scanning is an evolving technology that further expands the concept of teleradiology to include teleoperations and provides flexibility with respect to the staffing of MRI operators. Careful consideration and dedicated expertise of all involved parties are required to ensure patient safety, meet regulations, and successfully integrate teleoperations into clinics.
Key points
Citation Format
Postoperative Return to Play and the Role of Imaging
Authors: Brumbaugh Aaron D. , Casagranda Bethany U. 
Published: March 2024

AbstractReturn to play (RTP) following surgery is a complex subject at the interface of social and internal pressures experienced by the athlete, psychological readiness, and intrinsic healing of the surgically repaired structures. Although functional testing, time from surgery, clinical examination, and scoring metrics can help clarify an athlete's readiness to return to sport, imaging can allow for a more direct assessment of the structures in question. Because imaging is often included in the diagnostic work-up of pain following surgery, the radiologist must be familiar with the expected postsurgical imaging appearance, as well as the associated complications. We briefly review such findings following anterior cruciate ligament reconstruction, Achilles tendon repair, syndesmotic fixation, and ulnar collateral ligament reconstruction in the context of the athlete, highlighting issues related to RTP.
Percutaneous Interventions for Injuries in Athletes: Implications on Return to Play
Authors: Varela-Margolles Diana , Milani Ava , Kamel Sarah I. 
Published: March 2024

AbstractFor nonsurgical musculoskeletal (MSK) injuries in athletes, image-guided percutaneous intervention may aid in recovery and decrease return to play (RTP) time. These interventions fall into two major categories: to reduce inflammation (and therefore alleviate pain) or to promote healing. This review describes the risks and benefits of the various percutaneous interventions in MSK athletic injury and surveys the literature regarding the implication of these interventions on RTP.