bluuebunny/crossref_metadata_2025_split huggingface dataset:
Infantile Idiopathic Intracranial Hypertension: Case Report of an 8-Month-Old Child
Authors: Yasar Deniz , Inan Cihan , Akkaya Bilge , Ceylan Nesrin , Ucan Berna , Tuygun Nilden 
Published: July 2024

AbstractIdiopathic intracranial hypertension (IIH), a clinical disorder also known as pseudotumor cerebri, is characterized by increased intracranial pressure of unknown causes. Although it is most commonly observed in young obese women, IIH can also occur in the pediatric population; however, it is extremely rare in infants. Infants do not typically exhibit characteristic signs and symptoms of IIH, making it challenging to diagnose. Additionally, treatment modalities for this disease remain uncertain. We report an 8-month-old female child admitted to the pediatric emergency department with IIH. Our patient presented initially with fever, vomiting, and diarrhea, and then she developed inability to abduct the left eye. Papilledema was not detected in our patient. Magnetic resonance imaging and lumbar puncture contributed to diagnosis of the patient. Dexamethasone (0.5 mg/kg/d, twice a day) and acetazolamide (5 mg/kg/d) were administered; dexamethasone was stopped at the 48th hour after esotropia had resolved. The patient developed left ptosis in the first month after discharge. Acetazolamide was administered for a duration of 5 months and was discontinued once the patient's eye findings improved. With a sudden onset of neurological findings in a healthy infant with normal neuroimaging, IIH should be considered in the differential diagnosis and cerebrospinal fluid pressure should be measured. The principles of treatment for this disease are based on adult guidelines, but the efficacy of acetazolamide has also been reported in the pediatric population, like in our case.
Calculating absorption and fluorescence spectra for chromophores in solution with ensemble Franck–Condon methods
Authors: Khanna Ajay , Shedge Sapana V. , Zuehlsdorff Tim J. , Isborn Christine M. 
Published: July 2024

Accurately modeling absorption and fluorescence spectra for molecules in solution poses a challenge due to the need to incorporate both vibronic and environmental effects, as well as the necessity of accurate excited state electronic structure calculations. Nuclear ensemble approaches capture explicit environmental effects, Franck–Condon methods capture vibronic effects, and recently introduced ensemble-Franck–Condon approaches combine the advantages of both methods. In this study, we present and analyze simulated absorption and fluorescence spectra generated with combined ensemble-Franck–Condon approaches for three chromophore–solvent systems and compare them to standard ensemble and Franck–Condon spectra, as well as to the experiment. Employing configurations obtained from ground and excited state ab initio molecular dynamics, three combined ensemble-Franck–Condon approaches are directly compared to each other to assess the accuracy and relative computational time. We find that the approach employing an average finite-temperature Franck–Condon line shape generates spectra nearly identical to the direct summation of an ensemble of Franck–Condon spectra at one-fourth of the computational cost. We analyze how the spectral simulation method, as well as the level of electronic structure theory, affects spectral line shapes and associated Stokes shifts for 7-nitrobenz-2-oxa-1,3-diazol-4-yl and Nile red in dimethyl sulfoxide and 7-methoxy coumarin-4-acetic acid in methanol. For the first time, our studies show the capability of combined ensemble-Franck–Condon methods for both absorption and fluorescence spectroscopy and provide a powerful tool for simulating linear optical spectra.
Efficient strategy for frequency design and bandwidth extension of curved piezoelectric ultrasonic micromachined transducers
Authors: Li Hao , Hu Xiaofan , Xu Xingli , Ma Yongquan , Yu Chenyang , Wei Wei , Niu Pengfei 
Published: July 2024

Abstract
This article proposes an efficient analytical model and strategy for designing curved piezoelectric micromachined ultrasonic transducers (curved PMUTs). The model is developed based on the Donnell–Mushtari–Vlasov theory and the equivalent single layer method, and validated through finite element analysis. Utilizing the model, we further analyze the diaphragm’s vibration modes and key design parameters. The proposed strategy is centered on 2 design equations, facilitating the rapid design of devices at any frequency through parametric sweeps. Furthermore, to minimize bandwidth loss, we employ the merging of adjacent vibration modes to broaden the bandwidth. Using the proposed method for modes merging, we have effortlessly designed devices with operating frequencies of 2.15 MHz, 6.3 MHz, 10.65 MHz, and 18.75 MHz in water. For comparison, we also designed planar PMUTs and general curved PMUTs operating around 6 MHz and 15 MHz. Compared to planar PMUTs, curved PMUTs show exceptional performance improvements in output pressure and sensitivity. Moreover, the proposed strategy for bandwidth extension results in 1.33× and 1.25× bandwidth improvements around 6 MHz and 15 MHz. The proposed design methodology is anticipated to assist engineers in designing high-performance PMUT arrays more efficiently and systematically.
Hard sample mining-enabled supervised contrastive feature learning for wind turbine pitch system fault diagnosis
Authors: Wang Zixuan , Ma Ke , Qin Bo , Zhang Jian , Li Mengxuan , Butala Mark D , Peng Peng , Wang Hongwei 
Published: July 2024

Abstract
The presence of multiple failure severities in the wind turbine pitch system due to the long-term wear and tear poses challenges in accurately classifying the system’s health condition, thus increasing maintenance costs or damage risks. This paper proposes a novel method based on hard sample mining (HSM)-enabled supervised contrastive learning to address this problem. The proposed method leverages the powerful feature extraction capabilities of supervised contrastive learning to extract discriminative features from highly imbalanced data. Additionally, the method incorporates a cosine similarity-based HSM framework that constructs hard sample pairs within mini-batches during both the representation learning and classifier training phases, thereby improving the diagnostic performance of the model for hard samples. The proposed method achieves macro G-mean of 0.9991 and 0.9971 on two real datasets containing data on wind turbine pitch system cog belt fractures. These results indicate significantly superior fault diagnosis performance compared to existing methods, highlighting its potential for enhancing the reliability and efficiency of fault diagnosis in wind turbine pitch systems.
A prediction method for the backlash error of robot precision reducers based on optimal assembly
Authors: Li Tianxing , Yao Jian , Xu Jiake , Zhang Yang , Li Tianrui , Li Ziyue , Luo Limin , Gong Linhuan , Nie Shaowu 
Published: July 2024

Abstract
The kinematic accuracy and service life of robot precision reducers are directly affected by their assembly accuracy, and the backlash error is one of the most important performance indicators for evaluating the assembly accuracy. A prediction method for the backlash error of robot precision reducers is proposed, which can quickly and accurately calculate the backlash error of the optimal assembly reducers. Based on the optimal assembly process, the sensitive relationship between the errors of the crucial components and the assembly accuracy of the reducer is analyzed, and the crucial errors affecting the backlash error are identified. The cumulative backlash of the crucial error along the dimensional chain is clarified, and the corresponding relationship between the backlash and the backlash error is determined. On this basis, backlash prediction models are established for the involute planetary gear and cycloidal-pin gear transmission parts, respectively. The mapping relationship between dimensional errors and backlash is also derived. Furthermore, the backlash error of the reducer is obtained by calculating the backlash error caused by each error term of the high-speed stage and low-speed stage transmission parts. Finally, the effectiveness and correctness of the prediction method are verified by the optimal assembly of RV reducers and the measurement of the backlash error. The theory and method proposed in this paper can quickly and accurately predict the backlash error of the reducer for robots, effectively predict the assembly accuracy of the selective reducers, significantly improve the assembly efficiency of the reducers, and then provide theoretical guidance and technical support for enhancing the assembly quality and kinematic accuracy of robot reducers.
Improved assessment of radiofrequency electromagnetic field power deposition near orthopaedic device using a bone-inclusive ASTM phantom under 1.5T and 3T MRI
Authors: Yang Xiaolin , Guo Ran , Zheng Jianfeng , Long Stuart A , Chen Xuemin , Chen Ji 
Published: July 2024

Abstract

Objective. A bone-inclusive ASTM phantom is proposed to improve the assessment of radiofrequency electromagnetic field (RF-EMF) power deposition near orthopedic device under 1.5 T and 3 T magnetic resonance imaging (MRI). Approach. A phantom is created by introducing a cylindrical bone structure inside the American Society for Testing and Materials (ASTM) phantom. Four orthopaedic implant families—rod, nailing system, plate system, and hip replacement—are used in the study. RF-EMF power deposition (in terms of peak averaged specific absorption rate over 1 gram) near these implants are evaluated by placing these implants inside the standard ASTM phantom, the developed bone-inclusive ASTM phantom, and two anatomically representative human body phantoms, known as Duke and Ella. Numerical simulations are performed to calculate the RF-EMF power deposition near various orthopaedic devices within these phantoms. Main Results. For devices implanted inside or near bone tissue, the evaluation of RF-EMF power deposition using the developed bone-inclusive ASTM phantom shows better correlations to the human body phantoms than the ASTM phantom. This improvement is attributed to the portion of the devices implanted within the bone tissue. Significance. The bone-inclusive ASTM phantom has the different tissue of interests surrounding the implants compared to the ASTM phantom. This variation can lead to the different resonance frequency under RF-EMF exposure. This leads to better correlation of RF-EMF power deposition near orthopaedic implants inside human body, making the bone-inclusive ASTM phantom more suitable for evaluating RF-EMF power deposition than ASTM phantom in MRI scans.
Arbitrary low-frequency power-splitting strategy in ferrite/piezoelectric magnetoelectric heterostructures: theory and experimental validation
Authors: Zhang Jitao , Gao Juhang , Filippov Dmitry , Ge Bingfeng , Zhang Qingfang , Poddubnaya Natallia , Zheng Xiaowan , Bian Leixiang , Jiang Liying , Cao Lingzhi 
Published: July 2024

Abstract
Exploring low-frequency (LF) arbitrary power-splitting technologies to address the independent excitation issues of LF/VLF mechanical antennas (MA) with random distributions is challenging due to unidentified device construction and operation mechanism. In light of this, a device construction strategy for three-port magnetoelectric (ME) arbitrary power splitter in composite of ferrite/piezoelectric heterostructure, as well as theoretical model was developed. To validate the feasibility and effectiveness of the strategy, three size-tailored ME samples with length ratio of split PZT segments in 1:1, 2:1, and 3:2 were modeled, fabricated and comparatively characterized. Experimental results show that the achievable maximum power conversion efficiencies (PE) reach 52%, 71%, and 59% for three tailored ME samples, respectively, and as expected the power-splitting ratios are directly proportional to the square ratio of ME voltage coefficient (MEVC) from each port of the tailored ME samples, which are in coincidence with theory under desired operation stability and favorable experiment repeatability evaluated by uncertainties of 0.25854 V cm−1 Oe−1 and 0.32979 V cm−1 Oe−1 for each port. Therefore, a prediction of evolutionary tendency for arbitrary power splitter realization was expanded in view of our experimental observations, and a great flexibility for device future design and further optimization was also provided. Therefore, the presented LF power-splitting strategy paves the ways for arbitrary power splitter realization and enriches the multi-functional ME power electronics families, as well as enables potential applications for efficient excitations of MAs in high-permeable military underwater and civilian emergency rescue distribution long-wave communication system for practical scenarios of submarine, underground railways, tunnels and collapsed residential buildings.
Impact of driver prediction with density deviation and anticipation in lattice hydrodynamic model with passing
Authors: Mehta Shubham , Redhu Poonam 
Published: July 2024

Abstract
This paper presents an integral lattice hydrodynamic model to examine the impact of driver’s anticipation and driving prediction with density deviation of leading vehicle under passing behavior. Both linear and nonlinear investigations have been used to obtain the stability condition and ‘modified Korteweg–de Vries (mKdV)’ equation is derived to further classify the nonlinear behavior of vehicular flow in terms of density waves, respectively. The linear stability condition shows that the stable region can be increased by decreasing the coefficient of predicted density deviation. Additionally, the stable region expands with a positive value of driver anticipation but contracts with a negative value. In comparison of the Nagatani and Redhu models, it is observed that for fixed value of density deviation coefficient, the new model conveys greater stability zone. To verify the theoretical findings, ‘numerical simulation’ has been conducted to examine the evolution of traffic flow in the presence of a small disturbances. The analytical results have been discussed for different passing rate with fixed value of driver’s anticipation and different values of density deviation coefficient. Furthermore, it has been noted that the stable region decreases for all passing rates when driver become more aware of the average speed of any neighbouring vehicles. The obtained results in this paper show that the traffic behavior with the existing model is more realistic. Additionally, this model will help in boosting vehicle movement efficiency, reducing congestion and enhancing road safety effectively .
Three-party semi-quantum secure direct communication based on two communication models
Authors: Tian Yuan , Zhang Nanyijia , Chang Jinyong , Li Jian 
Published: July 2024

Abstract
Based on semi-quantum cryptography and utilizing W-state, this paper introduces two semi-quantum secure direct communication (SQSDC) protocols. SQSDC1 establishes a secret two-way communication channel between a quantum participant and two classical participants. SQSDC2 achieves efficient one-way communication from a quantum user to classical users. Security analysis demonstrates the asymptotic security of the protocols, effectively resisting intercept-measure-resend attacks and entangle-measure attacks from potential eavesdroppers. The efficiency analysis indicates high communication efficiency, with SQSDC1 achieving communication efficiencies of 20%, while SQSDC2 achieves a communication efficiency of 33.33%.
Spinning Proca-Higgs balls, stars and hairy black holes
Authors: Herdeiro Carlos , Radu Eugen , dos Santos Costa Filho Etevaldo 
Published: July 2024

AbstractRecently, spherical and static flat space solitons (balls) and self-gravitating, everywhere regular, asymptotically flat solitons (stars) were constructed in an Einstein-Proca-Higgs model [1], where a complex vector field gains mass by coupling to a real scalar field with a Higgs-type potential. The Proca-Higgs model serves as a UV completion of a complex Proca model with self-interactions. Here, we construct and examine the mathematical and physical properties of rotating configurations. In particular, rotation allows horizon-bearing solutions, including stationary clouds surrounding Kerr black holes and their non-linear continuation into black holes with Proca-Higgshair.
The hierarchical cosmic web and assembly bias
Authors: Coloma-Nadal J.M. , Kitaura F.-S. , García-Farieta J.E. , Sinigaglia F. , Favole G. , Forero Sánchez D. 
Published: July 2024

Abstract
Accurate modeling of galaxy distributions is paramount for cosmological analysis using galaxy redshift surveys. However, this endeavor is often hindered by the computational complexity of resolving the dark matter halos that host these galaxies. To address this challenge, we propose the development of effective assembly bias models down to small scales, i.e., going beyond the local density dependence capturing non-local cosmic evolution. We introduce a hierarchical cosmic web classification that indirectly captures up to third-order long- and short-range non-local bias terms. This classification system also enables us to maintain positive definite parametric bias expansions. Specifically, we subdivide the traditional cosmic web classification, which is based on the eigenvalues of the tidal field tensor, with an additional classification based on the Hessian matrix of the negative density contrast. We obtain the large-scale dark matter field on a mesh with ~3.9 h
-1 Mpc cell side resolution through Augmented Lagrangian Perturbation Theory. To assess the effectiveness of our model, we conduct tests using a reference halo catalogue extracted from the UNIT project simulation, which was run within a cubical volume of 1 h
-1 Gpc side. The resulting mock halo catalogs, generated through our approach, exhibit a high level of accuracy in terms of the one-, two- and three-point statistics. They reproduce the reference power-spectrum within better than 2 percent accuracy up to wavenumbers k ~ 0.8 h Mpc-1 and provide accurate bispectra within the scales that are crucial for cosmological analysis. This effective bias approach provides a forward model appropriate for field-level cosmological inference and holds significant potential for facilitating cosmological analysis of galaxy redshift surveys, particularly in the context of projects such as DESI, EUCLID, and LSST.
Electron cyclotron current start-up using a retarding electric field in the QUEST spherical tokamak
Authors: Onchi T. , Idei H. , Hanada K. , Watanabe O. , Miyata R. , Zhang Y. , Koide Y. , Otsuka Y. , Yamaguchi T. , Higashijima A. , Nagata T. , Sekiya I. , Shimabukuro S. , Niiya I. , Kono K. , Zennifa F. , Nakamura K. , Ikezoe R. , Hasegawa M. , Kuroda K. , Nagashima Y. , Ido T. , Kariya T. , Ejiri A. , Murakami S. , Fukuyama A. , Kosuga Y. 
Published: July 2024

Abstract
The plasma current start-up experiment is conducted through electron cyclotron (EC) heating in the QUEST spherical tokamak. During the EC heating, the application of a toroidal electric field in the opposite direction to the plasma current effectively inhibits the growth of energetic electrons. Observations show rapid increases in plasma current and hard x-ray count immediately following the cancellation of the retarding electric field. When a compact tokamak configuration maintains equilibrium on the high field side, along with the retarding field, it leads to effective bulk electron heating. This heating achieved an electron temperature of T
e ≈ 1 keV at electron density n
e > 1.0 × 1018 m−3. Ray tracing of the EC wave verifies that more power absorption into plasma through a single-pass occurs around the second resonance layer with higher values of electron density and temperature.
Magnitude-corner frequency distribution of explosion earthquakes: a case study of Anak Krakatau Volcano, Sunda Strait
Authors: Hasib Mohammad , Anwar Arif Nur Bagas , Suhendi Cahli , Kriswati Estu , Anggono Titi , Syuhada  , Febriani Febty , Ramdhan Muhamad , Nirmala Dewi Cinantya , Dwi Prasetio Aditya , Fitro Ghifari Bana , Bagus Adi Prasetyo Hafidz 
Published: July 2024

Abstract
We investigated the distribution between the magnitude and corner frequency of explosion earthquakes at the Anak Krakatau volcano during June - July 2014. We analyzed 100 explosion waveforms recorded at the KRA3 and KRA4 seismic stations located approximately 0.55 km and 3.84 km away from the active crater, respectively. We observed a relationship between the moment magnitude and the corner frequency of the explosion earthquake distribution. The result shows that the moment magnitude is inversely proportional to the corner frequency in a logarithmic scale using the full waveform of explosion earthquakes. The distribution equation of full waveform (0-20s) at KRA3 and KRA4 as follows; fc
= −2.72145 log(Mw
) + 7.99523, and fc
= −1.13971 log(Mw
) + 5.97855 respectively. The magnitude range is approximately 1.5–3 Mw. Meanwhile, the corner frequency range is about 4-8 Hz. Our result shows a similar distribution to those in the tectonic earthquake and volcano studies at different locations which is the magnitude is inversely proportional to the corner frequency. We also observed the relation between seismic moment and corner frequency which shows that the seismic moment is inversely proportional to the corner frequency with the range of seismic moment is about 1013-1015 N.m. Meanwhile, the stress drop is proportional to the corner frequency with the range of stress drop is about 100 and 103 bar. Our results are similar to those of other studies. These parameters show the basic statistical properties of volcanic eruptions. This study is important for understanding the dynamics of volcanic eruptions at the Anak Krakatau volcano.