bluuebunny/crossref_metadata_2025_split huggingface dataset:
Glanzmann Thrombasthenia 10 Years Later: Progress Made and Future Directions
Authors: Nurden Alan T. , Nurden Paquita 
Published: March 2024

AbstractGlanzmann thrombasthenia (GT) is the most common inherited platelet disorder (IPD) with mucocutaneous bleeding and a failure of platelets to aggregate when stimulated. The molecular cause is insufficient or defective αIIbβ3, an integrin encoded by the ITGA2B and ITGB3 genes. On activation αIIbβ3 undergoes conformational changes and binds fibrinogen (Fg) and other proteins to join platelets in the aggregate. The application of next-generation sequencing (NGS) to patients with IPDs has accelerated genotyping for GT; progress accompanied by improved mutation curation. The evaluation by NGS of variants in other hemostasis and vascular genes is a major step toward understanding why bleeding varies so much between patients. The recently discovered role for glycoprotein VI in thrombus formation, through its binding to fibrin and surface-bound Fg, may offer a mechanosensitive back-up for αIIbβ3, especially at sites of inflammation. The setting up of national networks for IPDs and GT is improving patient care. Hematopoietic stem cell therapy provides a long-term cure for severe cases; however, prophylaxis by monoclonal antibodies designed to accelerate fibrin formation at injured sites in the vasculature is a promising development. Gene therapy using lentil-virus vectors remains a future option with CRISPR/Cas9 technologies offering a promising alternative route.
Risk Factors and Outcomes for Recurrent Pediatric In-Hospital Cardiac Arrest: Retrospective Cohort Study from the American Heart Association's Get with the Guidelines-Resuscitation Registry
Authors: Frazier Maria E. , Brown Stephanie R. , O'Halloran Amanda , Raymond Tia , Kleinman Monica E. , Sutton Robert M. , Roberts Joan , Tegtmeyer Ken , Wolfe Heather A. , Nadkarni Vinay , Dewan Maya ,   for the American Heart Association's Get With The Guidelines®- Resuscitation Investigators
Published: March 2024

Abstract
Objective We aimed to describe the risk factors and outcomes of recurrent in-hospital cardiac arrest (IHCA) in a large pediatric cohort.
Methods A retrospective cohort study of patients ≤18 years from the American Heart Association's Get With The Guidelines®-Resuscitation Registry with single or recurrent IHCA who achieved return of spontaneous circulation and were not placed on extracorporeal membrane oxygenation with their initial IHCA were included. Patients were categorized into two groups for analysis: (1) single IHCA or (2) recurrent ICHA. Initial IHCAs from each category were analyzed and compared. Continuous variables were expressed as medians with interquartile ranges and compared via rank sum test. Categorical variables were expressed as percentages and compared via chi square test. Outcomes were assessed in a matched cohort.
Results A total of 10,019 patients, 2,225 (22.2%) experienced a recurrent IHCA. Recurrent IHCA patients were more likely to be medical cardiac (21.3 vs. 19%; p = 0.01) or trauma patients (7.5 vs. 5.3%; p < 0.001) and have higher acuity (27.8 vs. 22.7%; p < 0.001). Initial IHCA for recurrent IHCA patients were more likely to occur in the pediatric intensive care unit (44.2 vs. 39.6%; p < 0.001) or cardiac intensive care unit (11.5 vs. 9.5%; p = 0.006) versus other inpatient locations. There was no difference in initial IHCA duration between groups. After matching, patients with a recurrent IHCA had a lower rate of survival to hospital discharge (42.1 vs. 65.3%; p < 0.001).
Conclusion In a matched cohort, patients with recurrent IHCA had lower rates of survival compared with those with a single IHCA. Higher acuity and intensive care unit location during initial IHCA event were associated with increased risk for recurrent IHCA.
Analysis of influencing factors for housing construction technology in Desakota Village and town communities in China
Authors: Li Zhixing , He Xin , Ding Zhuojun , Hossain Md. Mehrab , Rifat Md. Tanvir Rahman , Sobuz Md. Habibur Rahman , Zhao Yafei 
Published: March 2024

AbstractRapid urbanization has reformed the peripheries of China’s main cities during the last four decades. The rural areas have been constantly developed through infrastructure development in recent days which introduces a newly semi-urban region referred to as Desakota. The purpose of this research is to discover potential influencing factors of housing construction technology in desakotas of China which needs to be assessed for the implementation of Desakotas forming globally. In this study, a total of six key primary factors and twenty key secondary factors have been shortlisted, which were surveyed by 120 respondents. After the statistical analysis, it is seen that one primary factor, “Architectural and engineering mechanical factors” has been ranked top. Moreover, “Cost, financial and economic evaluation and Analysis of the impact of the natural environment on buildings” both ranked top among twenty secondary factors. This study adds to the body of knowledge by revealing the primary contributing elements for the first time that need to be taken into consideration in the rural and town communities of desakotas in China. The study results could help stakeholders, construction firms, academicians, researchers, and the government to focus their efforts and resources on the significant changes in the Desakotas in preparation for rapid urban development.
Black holes, conformal symmetry, and fundamental fields
Authors: Navarro-Salas José 
Published: March 2024

AbstractCosmic censorship protects the outside world from black hole singularities and paves the way for assigning entropy to gravity at the event horizons. We point out a tension between cosmic censorship and the quantum backreacted geometry of Schwarzschild black holes, induced by vacuum polarization and driven by the conformal anomaly. A similar tension appears for the Weyl curvature hypothesis at the Big Bang singularity. We argue that the requirement of exact conformal symmetry resolves both conflicts and has major implications for constraining the set of fundamental constituents of the Standard Model.
Quasinormal modes of Reissner–Nordström–AdS: the approach to extremality
Authors: Ficek Filip , Warnick Claude 
Published: March 2024

Abstract
We consider the quasinormal spectrum of scalar and axial perturbations of the Reissner–Nordström–AdS black hole as the horizon approaches extremality. By considering a foliation of the black hole by spacelike surfaces which intersect the future horizon we implement numerical methods which are well behaved up to and including the extremal limit and which admit initial data which is nontrivial at the horizon. As extremality is approached we observe a transition whereby the least damped mode ceases to be oscillatory in time, and the late time signal changes qualitatively as a consequence.
What topics of peer interactions correlate with student performance in physics courses?
Authors: Simpfendoerfer L N , Sundstrom Meagan , Dew Matthew , Holmes N G 
Published: March 2024

Abstract
Research suggests that interacting with more peers about physics course material is correlated with higher student performance. Some studies, however, have demonstrated that different topics of peer interactions may correlate with their performance in different ways, or possibly not at all. In this study, we probe both the peers with whom students interact about their physics course and the particular aspects of the course material about which they interacted in six different introductory physics courses: four lecture courses and two lab courses. Drawing on social network analysis methods, we replicate prior work demonstrating that, on average, students who interact with more peers in their physics courses have higher final course grades. Expanding on this result, we find that students discuss a wide range of aspects of course material with their peers: concepts, small-group work, assessments, lecture, and homework. We observe that in the lecture courses, interacting with peers about concepts is most strongly correlated with final course grade, with smaller correlations also arising for small-group work and homework. In the lab courses, on the other hand, small-group work is the only interaction topic that significantly correlates with final course grade. We use these findings to discuss how course structures (e.g. grading schemes and weekly course schedules) may shape student interactions and add nuance to prior work by identifying how specific types of student interactions are associated (or not) with performance.
Photonic curing for innovative fabrication of flexible metal oxide optoelectronics
Authors: Hsu Julia W P , Piper Robert T 
Published: March 2024

Abstract
Flexible optoelectronics, based on non-planar substrates, hold promise for diverse applications such as wearables, health monitors, and displays due to their cost-effective manufacturing methods. Despite the superior properties of metal oxides, the challenge of processing them at high temperatures incompatible with plastic substrates necessitates innovative annealing approaches. Photonic curing, which delivers microsecond to millisecond broadband (200–1500 nm) light pulses on a sample, emerges as a viable solution. Depending on the optical properties, the targeted film absorbs the radiant energy resulting in rapid heating while the transparent substrate absorbs a minimal amount of light and remains at ambient temperature. The light intensity can be high, but since the light pulse is short, the total energy absorbed by the sample remains low and will not damage the plastic substrate. This perspective explores the innovative application of photonic curing to fabricate flexible metal oxide optoelectronics, including thin-film transistors, metal–insulator–metal devices, solar cells, transparent conductors, and Li batteries, emphasizing the conversion of sol–gel precursors to metal oxides. However, this technique was initially developed for sintering metal nanoparticles to conductive patterns and poses intriguing challenges in explaining its mechanism for metal oxide conversion, especially considering the limited absorption of visible light by most sol–gel precursors. The review delves into UV-induced photochemistry, common flexible metal-oxide optoelectronic components, and non-intuitive distinctions between photonic curing and thermal annealing. By elucidating the distinctive role of photonic curing in overcoming temperature-related challenges and advancing the fabrication of flexible metal oxide optoelectronics, this perspective offers valuable insights that could shape the future of flexible optoelectronics.
A brief review of hybrid skin-topological effect
Authors: Zhu Weiwei , Li Linhu 
Published: March 2024

Abstract
The finding of non-Hermitian skin effect (NHSE) has revolutionized our understanding of non-Hermitian topological phases, where the usual bulk-boundary correspondence is broken and new topological phases specific to non-Hermitian system are uncovered. Hybrid skin-topological effect (HSTE) is a class of newly discovered non-Hermitian topological states that simultaneously supports skin-localized topological edge states and extended bulk states. Here we provide a brief review of HSTE, starting from different mechanisms that have been used to realize HSTE, including non-reciprocal couplings, onsite gain/loss, and non-Euclidean lattice geometries. We also review some theoretical developments closely related to the HSTE, including the concept of higher-order NHSE, parity–time symmetry engineering, and non-Hermitian chiral skin effect. Finally, we summarize recent experimental exploration of HSTE, including its realization in electric circuits systems, non-Hermitian photonic crystals, and active matter systems. We hope this review can make the concept of hybrid-skin effect clearer and inspire new finding of non-Hermitian topological states in higher dimensional systems.
GNSS-R snow depth retrieval algorithm based on PSO-LSTM
Authors: Hu Yuan , Qu Wei , Liu Wei , Yuan Xintai 
Published: March 2024

Abstract
The global navigation satellite system (GNSS)-interferometric reflectometry technique has been applied to retrieve snow depth, which has a high potential for application. The GNSS reflectometry classical algorithm retrieves the snow depth by extracting the frequency of the multipath signal and substituting it into an empirical formula. However, the retrieval errors of high and low snow depths are large due to the influence of factors such as surface vegetation and terrain environment. In this paper, we propose a snow depth retrieval algorithm based on a particle swarm optimized long short-term memory (PSO-LSTM) neural network. The algorithm extracted three characteristic parameters (frequency, amplitude, and phase) from the signal-to-noise ratio (SNR) data as inputs, and optimized the LSTM hyperparameters by the PSO algorithm to improve the retrieval accuracy for low snow depths and snow depths close to the antenna. The snow depth retrieval results of global positioning system L1 band SNR data collected from the P351 station in 2022 and AB33 station in 2017 were evaluated in this paper. The snow depth retrieval results of the PSO-LSTM algorithm for P351 station were in high agreement with the snow depth data provided by the snowpack telemetry network; the coefficient of determination (

R
2

) reached 0.986, and the root mean square error (RMSE) and mean absolute error (MAE) were 7.30 cm and 4.94 cm, respectively. Compared with the classical algorithm, the PSO-LSTM algorithm decreased the RMSE and MAE by 53.0% and 30.4% for the retrieval results of snow depths below 15 cm at the P351 station, and by 76.8% and 84.4% for the retrieval results of snow depths above 117 cm from the 1st day to the 137th day, respectively. Similarly, the RMSE, MAE, and

R
2

for the 2017 retrieval results at AB33 station were 5.90 cm, 4.25 cm, and 0.965, respectively. Compared with the classical algorithm, the PSO-LSTM algorithm decreased the RMSE and MAE by 47.9% and 33.0% for the retrieval results of snow depths below 15 cm at the AB33 station, and by 75.4% and 82.3% for the retrieval results of snow depths above 56 cm from the day 46 to day 120. In addition, the snow depth retrieval algorithm was proposed in this paper does not require antenna height and empirical formulas to realize snow depth retrieval, and at the same time, the algorithm effectively improved the retrieval accuracy for both high and low snow depths with strong robustness.
A review: the application of generative adversarial network for mechanical fault diagnosis
Authors: Liao Weiqing , Yang Ke , Fu Wenlong , Tan Chao , Chen Baojia , Shan Yahui 
Published: March 2024

Abstract
Mechanical fault diagnosis is crucial for ensuring the normal operation of mechanical equipment. With the rapid development of deep learning technology, the methods based on big data-driven provide a new perspective for the fault diagnosis of machinery. However, mechanical equipment operates in the normal condition most of the time, resulting in the collected data being imbalanced, which affects the performance of mechanical fault diagnosis. As a new approach for generating data, generative adversarial network (GAN) can effectively address the issues of limited data and imbalanced data in practical engineering applications. This paper provides a comprehensive review of GAN for mechanical fault diagnosis. Firstly, the development of GAN-based mechanical fault diagnosis, the basic theory of GAN and various GAN variants (GANs) are briefly introduced. Subsequently, GANs are summarized and categorized from the perspective of labels and models, and the corresponding applications are outlined. Lastly, the limitations of current research, future challenges, future trends and selecting the GAN in the practical application are discussed.
Manipulation and enhancement of the performance of Otto cycle in the presence of nonthermal reservoirs
Authors: Huang Rui , Xia Yun-Jie , Man Zhong-Xiao 
Published: March 2024

Abstract
In this work, we investigate the impact of energetic coherence in nonthermal reservoirs on the performance of the Otto cycle. We first focus on the situation where the working substance is a qubit. Due to the existence of coherence of nonthermal reservoir, various anomalous operating regimes such as the engine and refrigerator with efficiencies exceeding Carnot limits, as well as the hybrid refrigerator that can simultaneously achieve cooling and supplying work to an external agent, can occur. We demonstrate that the energetic coherence of the system’s steady state plays a significant role in determining the cycle’s functions by adding an additional stroke implementing dephasing and phase modulation operations in the cycle. The energetic coherence of the system is necessary to trigger the reservoir’s coherence to exert influences on the cycle. We decompose the thermodynamic quantities to the components arising from the populations and coherence of the system, and find that the reservoir’s coherence impacts the cycle from two aspects: one is the modification of the system’s steady-state populations or temperatures, and the other is the direct contributions to the heat in the interaction between the system and reservoirs. We then explore the scenario where the working substance is two identical qubits, and the reservoirs are common to them. We show that the degenerate coherence of the system in the steady state can enhance the performances of the cycle as different machines. Additionally, the energetic coherence of the reservoir modifies the functions of the cycle still through the energetic coherence of the system rather than their degenerate coherence.
Higher-dimensional integrable deformations of the classical Boussinesq–Burgers system*
Authors: Cheng Xiaoyu , Huang Qing 
Published: March 2024

Abstract
In this paper, the (1+1)-dimensional classical Boussinesq–Burgers (CBB) system is extended to a (4+1)-dimensional CBB system by using its conservation laws and the deformation algorithm. The Lax integrability, symmetry integrability and a large number of reduced systems of the new higher-dimensional system are given. Meanwhile, for illustration, an exact solution of a (1+1)-dimensional reduced system is constructed from the viewpoint of Lie symmetry analysis and the power series method.
Gaze-contingent processing improves mobility, scene recognition and visual search in simulated head-steered prosthetic vision
Authors: de Ruyter van Steveninck Jaap , Nipshagen Mo , van Gerven Marcel , Güçlü Umut , Güçlüturk Yağmur , van Wezel Richard 
Published: March 2024

Abstract

Objective. The enabling technology of visual prosthetics for the blind is making rapid progress. However, there are still uncertainties regarding the functional outcomes, which can depend on many design choices in the development. In visual prostheses with a head-mounted camera, a particularly challenging question is how to deal with the gaze-locked visual percept associated with spatial updating conflicts in the brain. The current study investigates a recently proposed compensation strategy based on gaze-contingent image processing with eye-tracking. Gaze-contingent processing is expected to reinforce natural-like visual scanning and reestablished spatial updating based on eye movements. The beneficial effects remain to be investigated for daily life activities in complex visual environments. Approach. The current study evaluates the benefits of gaze-contingent processing versus gaze-locked and gaze-ignored simulations in the context of mobility, scene recognition and visual search, using a virtual reality simulated prosthetic vision paradigm with sighted subjects. Main results. Compared to gaze-locked vision, gaze-contingent processing was consistently found to improve the speed in all experimental tasks, as well as the subjective quality of vision. Similar or further improvements were found in a control condition that ignores gaze-dependent effects, a simulation that is unattainable in the clinical reality. Significance. Our results suggest that gaze-locked vision and spatial updating conflicts can be debilitating for complex visually-guided activities of daily living such as mobility and orientation. Therefore, for prospective users of head-steered prostheses with an unimpaired oculomotor system, the inclusion of a compensatory eye-tracking system is strongly endorsed.
Fault detection method of power cable terminal based on infrared thermal imaging signal reconstruction
Authors: Li Yan , Gao Yihang 
Published: March 2024

Abstract
Considering the low efficiency of traditional fault detection methods, this paper proposes a power cable terminal fault detection method based on infrared thermal imaging signal reconstruction. The method includes the following steps: first, establish the thermal resistance network structure of the power cable terminal to obtain the structural relationship between terminal components; second, collect operational data of the power cable terminal and perform calculations; finally, use an infrared imager to capture the infrared radiation of the power cable terminal and obtain fault detection results based on the calculation results. Experiments show that the detected results of this method are completely consistent with the actual situation, with an accuracy rate of up to 99%, and can achieve high-precision detection of power cable terminal faults.
Model construction of coordinated operation mechanism of energy supply chain based on operations research big data algorithm
Authors: Li Yige , Li Junsong , Liu Yu 
Published: March 2024

Abstract
During rapid modernization, the policy of technological upgrading of the coordinated operation of the energy supply chain has been tested over many years of practice, with limited potential for future development, and further emission reductions are facing greater technological and cost pressures. Market trading policies mainly include the carbon emissions trading mechanism and the guaranteed mechanism for renewable energy power consumption, and the above policies will be formally implemented in 2020, which will be the main direction of development in the future. After introducing the low-carbon policies, this paper will focus on the coal-power energy supply chain considering the carbon credit quota and renewable electricity consumption limitations and analyze the impacts of the relevant parameters on the coal-power energy supply chain returns under the above policies in both non-cooperative and cooperative game scenarios. Finally, a preferential price-based green power certificate trading mechanism is constructed to propose a cost-reducing trading proposal for power users to purchase green power certificates to fulfill the amount of renewable energy power consumption.
Coordinated reactive power planning in an industrial park integrated energy system using support vector regression
Authors: Zhang Sheng , Chen Yong , Liu Na , Shen Qianqian , Zhao Ce , Zhou Danying , Xu Xiaolong , Zhou Niancheng 
Published: March 2024

AbstractIn this study, we develop and present a comprehensive multi-objective optimization model for reactive power planning in industrial park integrated energy systems (IPIES), addressing the challenges posed by extensive inductive loads. Our model prioritizes enhancing system resilience through three key objectives: minimizing total costs, improving static voltage stability margins, and enhancing voltage recovery capabilities. We employ support vector regression (SVR) to estimate voltage recovery metrics effectively, using reactive power capacity as input. The optimization process leverages the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for efficient solution finding. Validation on the IEEE-39 bus system demonstrates the model’s effectiveness, with SVR significantly reducing computational demands while maintaining satisfactory accuracy.