bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Myocardial Viability on Long-term Outcomes after Surgical Revascularization
Authors: Sohn Suk Ho , Kang Yoonjin , Kim Ji Seong , Park Eun-Ah , Lee Whal , Hwang Ho Young 
Published: December 2023

Abstract
Background This study was conducted to evaluate whether myocardial viability assessed with cardiac magnetic resonance (CMR) affected long-term clinical outcomes after coronary artery bypass grafting (CABG) in patients with ischemic cardiomyopathy (ICMP).
Methods Preoperative CMR with late gadolinium enhancement (LGE) was performed in 103 patients (64.9 ± 10.1 years, male:female = 82:21) with 3-vessel disease and left ventricular dysfunction (ejection fraction ≤ 0.35). Transmural extent of LGE was evaluated on a 16-segment model, and transmurality was graded on a 5-point scale: grades—0, absence; 1, 1 to 25%; 2, 26 to 50%; 3, 51 to 75%; 4, 76 to 100%. Median follow-up duration was 65.5 months (interquartile range = 27.5–95.3 months). Primary endpoint was the composite of all-cause mortality or hospitalization for congestive heart failure.
Results Operative mortality was 1.9%. During the follow-up, all-cause mortality and readmission for congestive heart failure occurred in 29 and 8 patients, respectively. The cumulative incidence of the primary endpoint was 31.3 and 46.8% at 5 and 10 years, respectively. Multivariable analysis demonstrated that the number of segments with LGE grade 4 was a significant risk factor (hazard ratio 1.42, 95% confidence interval 1.10–1.83, p = 0.007) for the primary endpoint among the variables assessed by CMR. Other risk factors included age, dialysis, chronic obstructive pulmonary disease, and EuroSCORE II.
Conclusion The number of myocardial segments with transmurality of LGE >75% might be a prognostic factor associated with the composite of all-cause mortality or hospitalization for congestive heart failure after CABG in patients with 3-vessel disease and ICMP.
PFA-100 System: A New Method for Assessment of Platelet Dysfunction
Authors: Mammen Eberhard F. , Comp Philip C. , Gosselin Robert , Greenberg Charles , Hoots W. Keith , Kessler Craig M. , Larkin Edward C. , Liles Darla , Nugent Diane J. 
Published: December 2023

AbstractThis is a celebratory reprint of a historical paper published in STH in 1998. The original Abstract follows.The PFA-100 system is a platelet function analyzer designed to measure platelet-related primary hemostasis. The instrument uses two disposable cartridges: a collagen/epinephrine (CEPI) and a collagen/ADP (CADP) cartridge. Previous experience has shown that CEPI cartridges detect qualitative platelet defects, including acetylsalicylic acid (ASA)-induced abnormalities, while CADP cartridges detect only thrombocytopathies and not ASA use. In this seven-center trial, 206 healthy subjects and 176 persons with various platelet-related defects, including 127 ASA users, were studied. The platelet function status was determined by a platelet function test panel. Comparisons were made as to how well the defects were identified by the PFA-100 system and by platelet aggregometry. The reference intervals for both cartridges, testing the 206 healthy subjects, were similar to values described in smaller studies in the literature (mean closure time [CT] of 132 seconds for CEPI and 93 seconds for CADP). The use of different lot numbers of cartridges or duplicate versus singleton testing revealed no differences. Compared with the platelet function status, the PFA-100 system had a clinical sensitivity of 94.9% and a specificity of 88.8%. For aggregometry, a sensitivity of 94.3% and a specificity of 88.3% were obtained. These values are based on all 382 specimens. A separate analysis of sensitivity by type of platelet defect, ASA use versus congenital thrombocytopathies, revealed for the PFA-100 system a 94.5% sensitivity in identifying ASA users and a 95.9% sensitivity in identifying the other defects. For aggregometry, the values were 100% for ASA users and 79.6% for congenital defects. Analysis of concordance between the PFA-100 system and aggregometry revealed no difference in clinical sensitivity and specificity between the systems (p > 0.9999). The overall agreement was 87.5%, with a Kappa index of 0.751. The two tests are thus equivalent in their ability to identify normal and abnormal platelet defects. Testing 126 subjects who took 325 mg ASA revealed that the PFA-100 system (CEPI) was able to detect 71.7% of ASA-induced defects with a positive predictive value of 97.8%. The overall clinical accuracy of the system, calculated from the area under the receiver operating characteristic curve, was 0.977. The data suggest that the PFA-100 system is highly accurate in discriminating normal from abnormal platelet function. The ease of operation of the instrument makes it a useful tool to use in screening patients for platelet-related hemostasis defects.
Facilitating fertility decline through economic development: a principal-agent analysis of local bureaucratic incentives in China’s fertility transition
Authors: Liang Shengyuan , Liu Shanmin , Liu Canmian 
Published: December 2023

AbstractDespite close associations, political science had weak explanatory power for fertility transition. It often depicts the political processes of fertility transition as direct and coercive policies and mechanical execution without consideration of indirect bureaucratic processes. Drawing on principal-agent and economic-driven theories, this study established a novel model using 1980–2000 Chinese provincial panel data: local officials facilitated fertility decline through economic development for career advancement. System generalized method moments (GMM) and ordered logistic regression (OLM) results showed: (1) gross domestic product (GDP) per capita growth (OR = 0.012) and total fertility rate (TFR) decline (OR = 0.026) increased promotion odds, while excessive TFR decline (over 37% within one term) decreased it; (2) the critical age (59) and tenure year (one year before leaving office) positively associated with GDP per capita, industrialization, and lower TFR; (3) GDP per capita and industrialization negatively associated with TFR. Facilitating fertility decline via economic development was an efficient, low-risk strategy for local officials compared to radical birth control campaigns. It was the first study applying principal-agent theory to explain how bureaucratic processes enabled fertility transitions. It combined political and economic-driven theories on fertility transition, advancing political demography and refining the social science paradigm on fertility transition.
Gender reduction in contact
Authors: Baló Márton A. , Bodnárová Zuzana 
Published: December 2023

Abstract
The present paper investigates the reduction of gender assignment and agreement in a nineteenth-century Romani
variety in contact with genderless Hungarian. This reduction took place within two generations of native speakers. We compare the
geographical and sociolinguistic situation with the majority of present-day Romani varieties, which still maintain the original
two-way (masculine, feminine) gender system. By comparing these varieties with the few Romani varieties which also display
reduction of their gender system, we show that the development of this particular typological change may be the outcome of the
minority situation of Romani and its geographical proximity to a genderless language. However, as rural varieties do not exhibit
the same kind of erosion, this is not a sufficient explanation; what also appears to play a role in the Romani case is the urban
context of the change. This sociolinguistic factor might also be considered in other case studies on the loss of grammatical
gender.
Role of chirped factor on the focusing and imaging properties of the autofocusing beam
Authors: Lin Danping , Tao Shaohua 
Published: December 2023

Abstract
The focusing and imaging properties of the beam have attracted considerable attention recently. In this work, we generated an autofocusing beam termed a chirped autofocusing beam (CAFB) by using the phase of multiple chirped two-dimensional Airy beams, which has autofocusing and imaging properties. Through simulation analysis and experimental verification, it was found that the CAFB is endowed with multiple degrees of freedom to control the focusing properties of the CAFB. Specially, in the range of negative and weak chirp, the focal length of the CAFB increases with decreasing chirped factor. Moreover, the imaging property of the CAFB can be controlled by a chirp factor, the transverse displacement of the CAFB, and the transverse scale factor of the CAFB. The larger the transverse displacement and transverse scale factor of the beam, the better the image quality. Due to these properties, the CAFB may broaden the potential applications in optical microscopy imaging.
Optical and calorimetric studies near the smectic-A to smectic-C tricritical point
Authors: Chakraborty Susanta , Mitra Smriti , Kumar Das Malay , Das Banani 
Published: December 2023

Abstract
Detailed heat capacity and birefringence measurements have been performed to investigate the transitional behavior near the orthogonal smectic-A to tilted smectic-C (Sm-A–Sm-C) phase transition on several liquid crystalline mixtures comprising of a rod-like mesogen and a hockey stick-shaped compound having substitution of methyl group in the lateral position. Both probing methods were found to be rather successful in assessing the phase transitional behavior with reasonably good accuracy. The data shows a divergent pretransitional excess above and below the transition temperature. Analysis of the data have been performed in detail with the renormalization-group expression with correction-to-scaling terms. The extracted effective critical exponents were observed in between the tricritical and 3D-XY limit. Detailed investigations carried out in this work reveal the dependence of the Sm-A–Sm-C phase transition on the width of the Sm-A phase and the existence of a broad tricritical range.
Exploring the shadow of a rotating charged ModMax black hole
Authors: Karshiboev Khurshid , Atamurotov Farruh , Abdujabbarov Ahmadjon , Övgün Ali , Reyimberganov Anvar 
Published: December 2023

Abstract
The research presented in this paper discusses the impact that the parameters of charge (Q) and screening factor (γ) have on properties of the horizon and silhouette of rotating charged ModMax black holes which were reviewed in [Eur.
Phys.
J.
C (2022) 82:1155] recently, building upon previous findings in the field. Furthermore, the study explores the behavior of null geodesics, which can help us better understand the apparent shape of the black hole’s silhouette, as well as the distortion parameter and approximate radii of the silhouette that are influenced by the aforementioned parameters, and there are some values of parameter Q which corresponds to data from the Event Horizon Telescope (EHT). Notably, we explore the distortion parameter and approximate radii of the silhouette, revealing that while an increase in γ leads to a growth in silhouette radius (R

s
), it simultaneously reduces the distortion rate (δ

s
). Conversely, heightened Q charge results in a reduction of R

s
accompanied by an increase in δ

s
. Lastly, the paper analyzes the effects of the black hole’s parameters on the effective potential and energy emission: the peak value of the energy emission rate experiences a decrease as the screening factor (γ) increases, while it increases with higher values of the charge parameter (Q).
Multi-Objective Reactive Power Optimization for Distribution Networks Based on the Modified Golden Eagle Algorithm
Authors: Lan Ying , Li Yang , Wang Naizhuo 
Published: December 2023

Abstract
The Golden Eagle algorithm was proposed in 2020 by Abdolkarim et al. and has been applied in several fields. In this paper, we introduce the proposed algorithm to the reactive power optimization problem for distribution networks and develop a dual-objective reactive power optimization model with active network loss and node voltage bias. Logistic chaotic mapping and Levy flights are introduced to improve the original algorithm, which is prone to local optima and slow convergence. Finally, the IEEE30 node system is used for testing, which verifies the feasibility of the proposed algorithm in the reactive power optimization problem, and the improved algorithm has faster convergence and higher solution accuracy.
Risk assessment of voltage overrun probability of photovoltaic access distribution system voltage based on quasi-Monte Carlo method
Authors: Xu Bin , Wang Xunting , Ding Jinjin , Chen Liang 
Published: December 2023

Abstract
With the rapid development of renewable energy, distributed PV access to the distribution grid has become a common form. However, distributed PV access to the distribution network (DN) may cause voltage overrun problems, which brings challenges to the stability and reliability of the DN. In order to reasonably assess the impact of PV grid connection, the paper proposes a probabilistic trend calculation based on the quasi-Monte Carlo mode method to obtain the node voltage overrun probability under the premise of considering the stochastic nature of PV power generation and load fluctuation, and combines with the utility preference exponential function to characterize the overrun severity, to construct a comprehensive assessment model of voltage overrun probability risk. Taking the IEEE33 node system as an example, the simulation results show that the rational selection of access points effectively reduces the risk of overrun of the whole DN, and improves the safety of the distribution network.
Power Flow Calculation of Integrated Transmission and Distribution Networks
Authors: Tao Weilong , Wang Xunting , Zhang Chuanhai , Xu Bin , Guo Zhixin 
Published: December 2023

Abstract
As smart grids develop by leaps and bounds, the distribution network (DN) shows a more flexible and ever-changing trend. The continuous integration of distributed power generation, electric vehicles, and other new energy generation has led to an increasingly close relationship among the transmission and distribution networks (TDNs). The traditional method of independently calculating power flow in TDNs is no longer applicable. This paper proposes a power flow calculation algorithm for integrated transmission and distribution networks (ITDNs) based on the master-slave-splitting (MSS) method in response to this problem. This method is based on the electrical connection relationship between TDNs and the characteristics of their respective network structures. It decomposes the global power flow calculation problem into transmission network (TN) power flow calculation, multiple DN power flow calculation, and boundary node information coordination sub-problems. And achieve power flow calculation of ITDNs by exchanging the voltage and equivalent power of boundary nodes. Finally, the global power system constructed by the IEEE30 node system and IEEE33 node system is used to confirm the validity and correctness of the proposed algorithm and model.
A New Fault Distance Measurement Scheme for DC Distribution Network
Authors: Li Ning , Wang Jianjun , Han Yuan , Zhang Yaping , Gao Yunze , Liu Penghui 
Published: December 2023

Abstract
To solve the problem of fault location in the DC distribution network, this paper proposes a new fault distance measurement scheme based on the impedance measurement algorithm against fault transition resistance and the improved Moore voting algorithm. Firstly, signals of different frequencies are injected into the DC circuit in different periods, after the converter is blocked due to the DC side fault. Then, through the distance measurement algorithm against fault transition resistance, several groups of fault distance data are obtained. The improved Moore voting algorithm is used to process these fault distance values so that the accurate fault distance values are determined. Finally, simulation tests verify the reliability and accuracy of the proposed scheme. The proposed scheme requires a low sampling frequency, and it can not be interfered with by the fault transition resistance and occasional large errors. These advantages help to improve the efficiency and accuracy of troubleshooting.
Latent ODEs-based data compression method for power system
Authors: Xue XiangXi , Su Ya 
Published: December 2023

Abstract
In order to effectively compress the power system data and reduce the space occupied by data storage and transmission, this paper proposes a data compression method based on Latent Segmented ODE (LatSegODE) for the large-scale steady-state data generated during the working process of the power system. By training the ODE model using a large amount of steady-state data, a latent ODE model is generated to characterize the steady-state data of the power system, thereby significantly reducing the storage space occupied by the data. During the experimental stage, compression testing is carried out on the static data of the power system of a power grid company. According to the quantitative evaluation results of the two indices of normalized mean square error and data compression ratio, the proposed method has obvious compression advantages, and the compressed signals have a high degree of fitting to the actual sampled signal waveforms.
Study on Broadband Dynamic Characteristics of Photovoltaic DC Arc
Authors: Xu Wenkang , Yao Liangzhong , Tian Shiming , Zhang Xuemei , Pan Mingming , Wu Xin 
Published: December 2023

Abstract
The low current and wideband characteristics of photovoltaic (PV) DC arc make it difficult for traditional protection devices to detect it effectively. Therefore, it is important to analyze the wide-band dynamic characteristics of PV DC arc and extract the fault features. In this paper, firstly, the fault simulation of the engineering PV DC arc with a compound arc model is performed in PSACD. Then the simulation of various interference conditions and the fault conditions are carried out. Taking the output current of the combiner box as the object, the randomness of the signal is described by the pulse factor, and the characteristics of arc fault are reflected from the time domain. Then the fault characteristic frequency band is obtained based on the band energy ratio and information entropy ratio and the characteristic of arc fault is reflected by the energy and information entropy. The results show that the proposed broadband dynamic characteristic analysis method can effectively reflect the DC arc fault.
Edge Detection Algorithm for Infrared Images of Power Equipment Based on Improved Grey Wolf Algorithm and Corrosion Algorithm
Authors: Zou Jincheng , Chen Junjun , Liu Weike , Hu Yujing , Wang Jun , Xie Yi 
Published: December 2023

Abstract
The enhanced grey wolf algorithm is merged with the corrosion algorithm, and a grey wolf corrosion optimization algorithm is proposed to precisely identify the boundaries within infrared images of power equipment. The refined grey wolf algorithm employs exponential entropy as its fitness function and incorporates an individual wolf selection mechanism, enabling binary segmentation with adaptively chosen thresholds and high resemblance to the original image. Simulation results of actual infrared images captured in substations reveal that, compared to conventional edge detection algorithms such as Sobel, Roberts, Prewitt, Log, and Canny, the algorithm proposed in this paper yields comprehensive and well-defined boundaries with a high degree of conformity to the original infrared image. This proposed algorithm demonstrates significant applicability in the domain of infrared image processing and target recognition for power equipment.
Automatic Design of Planar Spiral Inductors Based on Improved Artificial Bee Colony Algorithm
Authors: Feng Mingkun , Guo Huihui , Liu Tingting 
Published: December 2023

Abstract
Aiming at the low design efficiency of planar spiral inductors in Integrated Passive Devices (IPD), a design scheme for automatically searching the optimal parameters of planar spiral inductors is presented based on the Improved Artificial Bee Colony (IABC) algorithm. By improving the single π model, the universality of the inductor equivalent model is improved, and the extracted model is convenient for the parameter optimization of the inductor. The artificial bee colony (ABC) algorithm is improved by introducing multi-neighborhood topology (MNT) and modification rate mechanism, which greatly improves the optimization efficiency of the original algorithm. The optimization parameters of the improved algorithm are simulated in ADS, and the results are consistent with the multiple design cases of planar spiral inductors, which verifies the effectiveness of the algorithm. The improved algorithm significantly improves the design efficiency of the planar spiral inductor, making the design time of a single inductor only in seconds, and the accuracy rate is more than 90%.
Future high energy colliders and options for the U.S.
Authors: Bhat P.C. , Jindariani S. , Ambrosio G. , Apollinari G. , Belomestnykh S. , Bross A. , Butler J. , Canepa A. , Dasu S. , Elvira D. , Fox P. , Gecse Z. , Gianfelice-Wendt E. , Gourlay S. , Merkel P. , Nagaitsev S. , Nanni E. , Neuffer D. , Piekarz H. , Posen S. , Sen T. , Shiltsev V. , Solyak N. , Stratakis D. , Syphers M. , Vernieri C. , Velev G. , Yakovlev V. , Yonehara K. , Zlobin A. 
Published: December 2023

Abstract
The United States has a rich history in high energy particle
accelerators and colliders — both lepton and hadron machines,
which have enabled several major discoveries in elementary particle
physics. To ensure continued progress in the field, U.S. leadership
as a key partner in building next generation collider facilities
abroad is essential; also critically important is to prepare to host
an energy frontier collider in the U.S. once the construction of
the LBNF/DUNE project is completed. In this paper, we briefly
discuss the ongoing and potential U.S. engagement in proposed
collider projects abroad and present a number of future collider
options we have studied for hosting an energy frontier collider in
the U.S. We also call for initiating an integrated national R&D
program in the U.S. now, focused on future colliders.