bluuebunny/crossref_metadata_2025_split huggingface dataset:
miRNA-mediated control of gephyrin synthesis drives sustained inhibitory synaptic plasticity
Authors: Welle Theresa M , Rajgor Dipen , Kareemo Dean J , Garcia Joshua D , Zych Sarah M , Wolfe Sarah E , Gookin Sara E , Martinez Tyler P , Dell’Acqua Mark L , Ford Christopher P , Kennedy Matthew J , Smith Katharine R 
Published: September 2024

AbstractActivity-dependent protein synthesis is crucial for long-lasting forms of synaptic plasticity. However, our understanding of translational mechanisms controlling GABAergic synapses is limited. One distinct form of inhibitory long-term potentiation (iLTP) enhances postsynaptic clusters of GABAARs and the primary inhibitory scaffold, gephyrin, to promote sustained synaptic strengthening. While we previously found that persistent iLTP requires mRNA translation, the mechanisms controlling plasticity-induced gephyrin translation remain unknown. We identify miR153 as a novel regulator of Gphn mRNA translation which controls gephyrin protein levels and synaptic clustering, ultimately impacting inhibitory synaptic structure and function. iLTP induction downregulates miR153, reversing its translational suppression of Gphn mRNA and promoting de novo gephyrin protein synthesis and synaptic clustering during iLTP. Finally, we find that reduced miR153 expression during iLTP is driven by an excitation-transcription coupling pathway involving calcineurin, NFAT and HDACs, which also controls the miRNA-dependent upregulation of GABAARs. Together, we delineate a miRNA-dependent post-transcriptional mechanism that controls the expression of the key synaptic scaffold, gephyrin, and may converge with parallel miRNA pathways to coordinate gene upregulation to maintain inhibitory synaptic plasticity.
Advancing low‐light object detection with you only look once models: An empirical study and performance evaluation
Authors: Shovo Samier Uddin Ahammad , Abir Md. Golam Rabbani , Kabir Md. Mohsin , Mridha M. F. 
Published: September 2024

AbstractLow‐light object detection is needed for ensuring security, enabling surveillance, and enhancing safety in diverse applications, including autonomous vehicles, surveillance systems, and search and rescue operations. A comprehensive study on low‐light object detection is presented using state‐of‐the‐art you only look once (YOLO) models, including YOLOv3, YOLOv5, YOLOv6, and YOLOv8, aiming to enhance detection performance under challenging low‐light conditions. The ExDark dataset is a dataset that consists of adequate low‐light images, modified to simulate realistic low‐light scenarios, and employed for evaluation. The deep learning algorithm optimises YOLO's architecture for low‐light detection by adapting the network structure and training strategies while preserving the algorithm's integrity. The experimental results show that YOLOv8 consistently outperforms baseline models, achieving significant improvements in accuracy and robustness in low‐light scenarios. The deep learning algorithm that acquired the best score, YOLOv8s, had a mean average precision score of 0.5513. This work contributes to the field of low‐light object detection, offering promising solutions for real‐world applications like nighttime surveillance and autonomous navigation in low‐light conditions, addressing the growing demand for advanced low‐light object detection.
Research on current sharing control of parallel inverters used on electric motor emulator
Authors: Wang Mingyu , Yang Beining , Qin Yaru , Jiang Yonglun 
Published: September 2024

AbstractParallel inverters have the advantages of low‐output harmonics and high‐parallel power, making them very suitable as the topology structure for an electric motor emulator. However, parallel inverters can also bring about circulating current issues, especially when using carrier phase shifted sinusoidal PWM (CPS‐SPWM) control mode, which significantly increases circulating current, leading to increased output harmonics and losses in the system. In order to suppress circulating currents, this paper provides a detailed analysis from both high‐frequency and low‐frequency perspectives in CPS‐SPWM control mode. A circulating current suppression method that combines hardware and software systems, adopting a cascaded coupled output network structure along with a corresponding error voltage space vector control method to achieve circulating current suppression, is proposed. By constructing a 6‐branch parallel output experimental platform, the feasibility and effectiveness of the proposed method have been verified, suppressing current circulating currents and improving current quality.
Map‐matching for cycling travel data in urban area
Authors: Gao Ting , Daamen Winnie , Krishnakumari Panchamy , Hoogendoorn Serge 
Published: September 2024

AbstractTo promote urban sustainability, many cities are adopting bicycle‐friendly policies, leveraging GPS trajectories as a vital data source. However, the inherent errors in GPS data necessitate a critical preprocessing step known as map‐matching. Due to GPS device malfunction, road network ambiguity for cyclists, and inaccuracies in publicly accessible streetmaps, existing map‐matching methods face challenges in accurately selecting the best‐mapped route. In urban settings, these challenges are exacerbated by high buildings, which tend to attenuate GPS accuracy, and by the increased complexity of the road network. To resolve this issue, this work introduces a map‐matching method tailored for cycling travel data in urban areas. The approach introduces two main innovations: a reliable classification of road availability for cyclists, with a particular focus on the main road network, and an extended multi‐objective map‐matching scoring system. This system integrates penalty, geometric, topology, and temporal scores to optimize the selection of mapped road segments, collectively forming a complete route. Rotterdam, the second‐largest city in the Netherlands, is selected as the case study city, and real‐world data is used for method implementation and evaluation. Hundred trajectories were manually labelled to assess the model performance and its sensitivity to parameter settings, GPS sampling interval, and travel time. The method is able to unveil variations in cyclist travel behavior, providing municipalities with insights to optimize cycling infrastructure and improve traffic management, such as by identifying high‐traffic areas for targeted infrastructure upgrades and optimizing traffic light settings based on cyclist waiting times.
A simple 60‐pulse voltage source inverter using voltage reinjection strategy to improve voltage harmonics for high‐power local loads
Authors: Najafpour Saeed , Ghandehari Reza 
Published: September 2024

AbstractThe voltage reinjection strategy is an effective solution to improve the voltage quality of the voltage source inverters for high‐power applications. In this article, the fundamentals of voltage reinjection strategy are analyzed to reduce voltage harmonics of the output voltage. Then, a novel voltage reinjection circuit is proposed which can generate a 5‐level voltage to be injected on the voltages of the DC sources. The reinjected voltage can create a 60‐pulse voltage waveform for a three‐phase load. Turn ratio optimization of the reinjection transformer has a significant effect on the improvement of the harmonic situation of the output voltage. Furthermore, the proposed reinjection circuit provides ZVS conditions for the main switches to reduce switching losses considerably. The simulation results indicate that the proposed reinjection circuit can reduce the output voltage THD to 3.16% without any type of filter or modulation, and the load variation does not have a considerable effect on the voltage quality. The experimental results approve the analytical trend and simulation process and also confirm the reinjection circuit performance. According to the results, the proposed method has generated a semi‐sinusoidal voltage waveform with in the laboratory.
Enhanced electric vehicle battery management system employing bat algorithm with chaotic diversification strategies
Authors: Vani Batchu Veena , Kishan Dharavath , Ahmad Md Waseem , Reddy Ch. Rama Prakasha 
Published: September 2024

AbstractAs the demand for electric vehicles (EV) continues to increase, the need for effective charging and switching of battery systems becomes more important. This article presents a method using the Bat Algorithm (BA) improved by chaotic diversification as well as social education to optimize the power source replacement and the electric vehicle charging procedure. The plan is intended to solve the issues of payment delay and battery management failure. The algorithm searches for better positions by combining chaotic diversity, while social learning supports the coordination of battery stations. Thanks to extensive simulation and real‐world testing, our approach shows significant improvements in optimization and a reduced payback period. The results show that the suggested approach outperforms the current algorithms in terms of rotation speed and good solution. This research supports the development of efficient transportation by providing practical solutions to increase the efficiency of electric vehicle transfer and payment and ultimately encourage greater effort.
High efficiency three‐dimensional wireless power transfer system using cylindrical transmitting coil
Authors: Ma Qingfeng , Xu Jiayi , Pang Shui , Liu Yehao , Li HongYu , Li Xingfei 
Published: September 2024

AbstractThree‐dimensional (3D) wireless power transfer (WPT) is an attractive methodology to improve the charging safety and flexibility of portable electronic equipment and to meet the charging demand brought by the increase of electronic equipment. Herein a 3D WPT system using a cylindrical transmitting coil excited by a single power source is proposed to improve flexibility and efficiency. Specifically, the coil size is designed and the circuit model is analyzed. A method for determining inductor parameters of Inductor‐Capacity‐Capacity compensation is designed to achieve high efficiency. The power transmission performance of the WPT system is validated through an experimental platform. The measured maximum power is more than 50 W, and the maximum DC‐DC efficiency is up to 82.3%. The system can simultaneously charge multiple loads with different receiving coils at different positions. The proposed WPT system can improve the flexibility of equipment charging without control, and provide a reference for the design of portable equipment high efficiency wireless chargers.
Inherited Disorders of the Fibrinolytic Pathway: Pathogenic Phenotypes and Diagnostic Considerations of Extremely Rare Disorders
Authors: Al-Ghafry Maha , Abou-Ismail Mouhamed Yazan , Acharya Suchitra S. 
Published: September 2024

AbstractFibrinolysis is initiated by the activation of plasminogen to plasmin via tissue-plasminogen activator (tPA) and urokinase-plasminogen activator (uPA); plasmin then converts fibrin to fibrin degradation products (FDPs). The antifibrinolytics counterbalancing this system include plasminogen activator inhibitor-1 (PAI-1), which inhibits tPA and uPA, α-2 antiplasmin (α2AP), which inhibits plasmin, and thrombin activatable fibrinolysis inhibitor, which inhibits the conversion of fibrin to FDP. Inherited disorders of the fibrinolytic pathway are rare and primarily have hemorrhagic phenotypes in humans: PAI-1 deficiency, α2AP deficiency, and Quebec platelet disorder. Patients with these disorders are usually treated for bleeds or receive prophylaxis to prevent bleeds in the surgical setting, with pharmacological antifibrinolytics such as aminocaproic acid and tranexamic acid. Disorders of the fibrinolytic pathway with fibrin deposition are extremely rare, mostly noted in patients with plasminogen deficiency, who have more recently benefited from advances in human plasma-derived plasminogen concentrates administered intravenously or locally. These disorders can be very difficult to diagnose using conventional or even specialized coagulation testing, as testing can be nonspecific or have low sensitivity. Testing of the corresponding protein's activity and antigen (where applicable) can be obtained in specialized centres, and routine laboratory measures are not diagnostic. Genetic testing of the pathogenic mutations is recommended in patients with a high suspicion of an inherited disorder of the fibrinolytic pathway.
Echocardiographic Evaluation of Cardiac Remodeling after FET
Authors: Meissl Domenic , Kreibich Maximilian , Czerny Martin , Kletzer Joseph , Eschenhagen Matthias , Kondov Stoyan , Rylski Bartosz , Gottardi Roman , Berger Tim 
Published: September 2024

Abstract
Background This study aimed to investigate if frozen elephant trunk (FET) implantation leads to negative cardiac remodeling in dissection and non-dissection patients and to determine whether there are differences when FET is implanted as an aortic redo procedure or initially.
Methods Between March 2013 and April 2022, 148 patients received FET without any concomitant procedures and therefore formed our cohort. One hundred and four were treated for dissecting and 44 for non-dissecting pathologies. Eighty-four received FET initially and 64 as an aortic redo procedure. Data were collected retrospectively using our center's dedicated aortic database as well as transthoracic echocardiographic reports of our cardiologists.
Results In the first weeks after FET implantation, dissection and non-dissection patients show a significant increase of mild valvular insufficiencies—a significant decrease of ejection fraction is only seen in dissection patients but these changes do not stay significant during later follow-up. Patients who receive FET as an aortic redo procedure tend to have significantly larger left ventricular (LV) end-diastolic diameters and higher LV masses, however, in longitudinal analysis, there were no long-term negative effects in patients who received FET initially or as aortic redo.
Conclusion In the first 2 years after implantation, FET has no echocardiographically measurable effect regarding negative cardiac remodeling in dissection and non-dissection patients, independent of the fact it is implanted initially or as an aortic redo procedure.
Diffraction tomography for incident Herglotz waves
Authors: Kirisits Clemens , Naujoks Noemi , Scherzer Otmar , Yang Huidong 
Published: September 2024

Abstract
Diffraction tomography (DT) is an inverse scattering technique used to reconstruct the spatial distribution of the material properties of a weakly scattering object. The object is exposed to radiation, typically light or ultrasound, and the scattered waves induced from different incident field angles are recorded. In conventional DT, the incident wave is assumed to be a monochromatic plane wave, an unrealistic simplification in practical imaging scenarios. In this article, we extend conventional DT by introducing the concept of customized illumination scenarios, with a pronounced emphasis on imaging with focused beams. More specifically, we consider incident Herglotz waves and extend the classical Fourier diffraction theorem to this setting. This yields a new two-step reconstruction process which we comprehensively evaluate through numerical experiments.
Ultrathin metal-dielectric planar interface for high-performance photonic spin Hall effect
Authors: Baitha Monu Nath , Im Jonghyeok , Chun Heoung-Jae , Kim Kyoungsik 
Published: September 2024

Abstract
This study explores the photonic spin Hall effect (PSHE) with a focus on its sensitivity to incident wave polarization and physical parameter variations. Traditionally, surface plasmonic resonance (SPR) systems mainly enhance H-polarized PSHE. However, our proposed method involves an ultrathin metal layer, capped with a glass dielectric layer on a glass substrate, to achieve high-performance PSHE for both H- and V-polarization waves. This high-performance PSHE in terms of enhancement in PSHE magnitudes arises from the simultaneous presence of SPR and waveguiding effects, resulting in the emergence of hybrid transverse electric and transverse magnetic modes. Investigating Au and Ag ultrathin metal layers, we find that the highest H-polarized PSHE occurs at

∼

1.52
×

10
6

nm and

∼

2.05
×

10
5

nm for Au and Ag, respectively. Similarly, for V-polarized incident light, maximum enhanced PSHE is observed at

∼

1.58
×

10
5

nm and

∼

9.48
×

10
4

nm for Au and Ag, respectively. By adjusting the thickness of the metal and/or glass cap layer, precise control over PSHE amplitude and active polarization response is achievable. This research unveils unique capabilities for generating hybrid modes that enhance PSHE for both polarizations, offering a potential platform for developing tunable polarization-favorable spin optics optoelectronic devices.
Accommodating the LHC charged Higgs boson excess at 130 GeV in the general two-Higgs doublet model
Authors: Arhrib Abdesslam , Krab Mohamed , Semlali Souad 
Published: September 2024

Abstract
Charged Higgs bosons are common predictions in most extensions of the Standard Model Higgs sector. Therefore, their observation would elucidate the nature of the Higgs sector. Motivated by the ATLAS collaboration’s latest analysis performed with 139 fb−1 of Run 2 data intended to search for charged Higgs boson, produced in top quark decay and subsequently decaying via H
± → cb, where an excess with a local significance of 3σ is observed at

m

H

±

=
130

GeV

, we discuss here the possibility of explaining such excess in the context of the general Two-Higgs Doublet Model (2HDM type-III), after satisfying all theoretical and up-to-date experimental constraints. We also propose phenomenological scenarios to further explore the mass region around 130 GeV in the four Yukawa types of the 2HDM type-III and suggest alternative decay channel H
± → cs and/or H
± → W
±∗
h to probe the nature of the observed excess (if it is not a statistical fluctuation). Future searches for H
± will be critical in confirming or refuting the first hint of a light charged Higgs boson at the large hadron collider.
Serum-derived protein coronas affect nanoparticle interactions with brain cells
Authors: Morshed Nabila , Rennie Claire , Deng Wei , Collins-Praino Lyndsey , Care Andrew 
Published: September 2024

Abstract
Neuronanomedicine is an emerging field bridging the gap between neuromedicine and novel nanotherapeutics. Despite promise, clinical translation of neuronanomedicine remains elusive, possibly due to a dearth of information regarding the effect of the protein corona on these neuronanomedicines. The protein corona, a layer of proteins adsorbed to nanoparticles following exposure to biological fluids, ultimately determines the fate of nanoparticles in biological systems, dictating nanoparticle–cell interactions. To date, few studies have investigated the effect of the protein corona on interactions with brain-derived cells, an important consideration for the development of neuronanomedicines. Here, two polymeric nanoparticles, poly(lactic-co-glycolic acid) (PLGA) and PLGA-polyethylene glycol (PLGA-PEG), were used to obtain serum-derived protein coronas. Protein corona characterization and liquid chromatography mass spectrometry analysis revealed distinct differences in biophysical properties and protein composition. PLGA protein coronas contained high abundance of globins (60%) and apolipoproteins (21%), while PLGA-PEG protein coronas contained fewer globins (42%) and high abundance of protease inhibitors (28%). Corona coated PLGA nanoparticles were readily internalized into microglia and neuronal cells, but not into astrocytes. Internalization of nanoparticles was associated with pro-inflammatory cytokine release and decreased neuronal cell viability, however, viability was rescued in cells treated with corona coated nanoparticles. These results showcase the importance of the protein corona in mediating nanoparticle–cell interactions.
Tracking complex singularities of fluids on log-lattices
Authors: Pikeroen Quentin , Barral Amaury , Costa Guillaume , Campolina Ciro , Mailybaev Alexei , Dubrulle Berengere 
Published: September 2024

Abstract
In 1981, Frisch and Morf (1981 Phys. Rev. A 23 2673–705) postulated the existence of complex singularities in solutions of Navier–Stokes equations. Present progress on this conjecture is hindered by the computational burden involved in simulations of the Euler equations or the Navier–Stokes equations at high Reynolds numbers. We investigate this conjecture in the case of fluid dynamics on log-lattices, where the computational burden is logarithmic concerning ordinary fluid simulations. We analyze properties of potential complex singularities in both 1D and 3D models for lattices of different spacings. Dominant complex singularities are tracked using the singularity strip method to obtain new scalings regarding the approach to the real axis and the influence of normal, hypo and hyper dissipation.
Prior-image-based low-dose CT reconstruction for adaptive radiation therapy
Authors: Xu Yao , Wang Jiazhou , Hu Weigang 
Published: September 2024

Abstract

Objective. The study aims to reduce the imaging radiation dose in Adaptive Radiotherapy (ART) while maintaining high-quality CT images, critical for effective treatment planning and monitoring. Approach. We developed the Prior-aware Learned Primal-Dual Network (pLPD-UNet), which uses prior CT images to enhance reconstructions from low-dose scans. The network was separately trained on thorax and abdomen datasets to accommodate the unique imaging requirements of each anatomical region. Main results. The pLPD-UNet demonstrated improved reconstruction accuracy and robustness in handling sparse data compared to traditional methods. It effectively maintained image quality essential for precise organ delineation and dose calculation, while achieving a significant reduction in radiation exposure. Significance. This method offers a significant advancement in the practice of ART by integrating prior imaging data, potentially setting a new standard for balancing radiation safety with the need for high-resolution imaging in cancer treatment planning.