bluuebunny/crossref_metadata_2025_split huggingface dataset:
Venous Malformations
Authors: Patel Nihal D. , Chong Anthony T. , Kolla Avani M. , Mabud Tarub S. , Kulkarni Kopal , Masrouha Karim , Taslakian Bedros , Bertino Frederic J. 
Published: December 2022

AbstractVenous malformations, the most common type of vascular malformation, are slow-flow lesions resulting from disorganized angiogenesis. The International Society for the Study of Vascular Anomalies (ISSVA) classification offers a categorization scheme for venous malformations based on their genetic landscapes and association with congenital overgrowth syndromes. Venous malformations present as congenital lesions and can have broad physiologic and psychosocial sequelae depending on their size, location, growth trajectory, and tissue involvement. Diagnostic evaluation is centered around clinical examination, imaging evaluation with ultrasound and time-resolved magnetic resonance imaging, and genetic testing for more complex malformations. Interventional radiology has emerged as first-line management of venous malformations through endovascular treatment with embolization, while surgery and targeted molecular therapies offer additional therapeutic options. In this review, an updated overview of the genetics and clinical presentation of venous malformations in conjunction with key aspects of diagnostic imaging and treatment are discussed.
Right Heart Clot-in-Transit: Endovascular Therapies
Authors: Mathevosian Sipan , Ranade Mona 
Published: December 2022

AbstractRight heart thrombus is a challenging high mortality disease typically seen in the setting of pulmonary embolism. Traditional treatments have included anticoagulation, thrombolysis, and surgical embolectomy. Advances in recognition and treatment of clot-in-transit have led to the development of endovascular therapies increasingly becoming the preferred method of treatment due to rapid debulking and lower morbidity. Novel endovascular devices are large bore aspiration thrombectomy systems which mitigate the use of concomitant thrombolytics. The article reviews the disease process, relevant literature, and current endovascular devices and strategies for the treatment of right heart thrombus and clot-in-transit.
CFTR Modulators: Current Status and Evolving Knowledge
Authors: Regard Lucile , Martin Clémence , Da Silva Jennifer , Burgel Pierre-Régis 
Published: December 2022

AbstractIn the past decade, the medical management of people with cystic fibrosis (pwCF) has changed with the development of small molecules that partially restore the function of the defective CF transmembrane conductance regulator (CFTR) protein and are called CFTR modulators. Ivacaftor (IVA), a CFTR potentiator with a large effect on epithelial ion transport, was the first modulator approved in pwCF carrying gating mutations. Because IVA was unable to restore sufficient CFTR function in pwCF with other mutations, two CFTR correctors (lumacaftor and tezacaftor) were developed and used in combination with IVA in pwCF homozygous for F508del, the most common CFTR variant. However, LUM/IVA and TEZ/IVA were only moderately effective in F508del homozygous pwCF and had no efficacy in those with F508del and minimal function mutations. Elexacaftor, a second-generation corrector, was thus developed and combined to tezacaftor and ivacaftor (ELX/TEZ/IVA) to target pwCF with at least one F508del variant, corresponding to approximately 85% of pwCF. Both IVA and ELX/TEZ/IVA are considered highly effective modulator therapies (HEMTs) in eligible pwCF and are now approved for nearly 90% of the CF population over 6 years of age. HEMTs are responsible for rapid improvement in respiratory manifestations, including improvement in symptoms and lung function, and reduction in the rate of pulmonary exacerbations. The impact of HEMT on extrapulmonary manifestations of CF is less well established, although significant weight gain and improvement in quality of life have been demonstrated. Recent clinical trials and real-world studies suggest that benefits of HEMT could even prove greater when used earlier in life (i.e., in younger children and infants). This article shortly reviews the past 10 years of development and use of CFTR modulators. Effects of HEMT on extrapulmonary manifestations and on CF demographics are also discussed.
A Retroprospective Clinicopathological Study of Prostatic Lesions in Surgical Specimens
Authors: Garalla Hanan M. , Darraz Khaled M. Ahmed , ESSA Maggdi M.A. 
Published: December 2022

Abstract
Background Prostatic diseases such as inflammation, benign prostatic hyperplasia, and tumors are prime causes of mortality and morbidity in males. The prevalence of these lesions increases with advancing age. The second most common cancer among males is prostate cancer, next to lung cancer worldwide.
Aim The present study was undertaken with the aim of studying the clinicopathological characteristics of prostate lesions in surgical specimens
Methods The present study was a retroprospective study. A total of 212 prostate surgical specimens were included. Information provided in the requisition form regarding age, type of prostatic biopsy and clinical presentation, and histopathological diagnosis was taken into consideration and recorded. All specimens were fixed in 10% neutral buffered formalin and 5μ sections were stained with hematoxylin and eosin stain (H&E stain). Relevant clinical data including age, the presenting complaints, and S.PSA values were recorded. Data were collected and analyzed using simple statistical methods with Microsoft Excel 2016.
Results Out of 212 cases analyzed, 161 (76%) were transurethral resection of prostate (TURP) TUPR specimens, 38 (18%) were trucut needle biopsies, and 13 (6%) were open prostatectomy specimens. The youngest patient was 48 years old while the oldest patient was 90 years old with a mean of 71.7  ± 8.2 years. Of the total 212 surgical specimens, 174 (82%) cases were of benign prostatic hyperplasia (BHP), and 38 (18%) were prostatic adenocarcinoma (PAC). Also, 94 (44.3%) of BPH and carcinoma of the prostate cases were most common in the seventh decade of life (61-70 years). Difficulty in micturition was the most common presentation 82 (39%). A maximum number of the BPH cases 81 (46.5%) had the prostate-specific antigen range of 0 to 4 ng/mL. The highest value of serum PSA was noted among the PAC patients in the range of > 80 ng/mL. Out of 38 cases of prostatic adenocarcinoma, moderately differentiated (Gleason scores 7) was the most common core and was seen in 42.1% of the PAC cases.
Conclusion The present study showed that the most frequently encountered prostatic lesion was BHP, commonly seen in the age group of 61 to 70 years. The PAC was common among males of more than 60 years. Histopathological examination is the best diagnostic tool for PAC
Aesthetic poetry and creative translations: a translational hermeneutic reading
Authors: Lahiani Raja 
Published: December 2022

AbstractThis paper investigates the hermeneutic processes involved in translating instances of imagery in Arabic poetry into English across a period ranging between 1789 and 1993. It examines ten translations of two verse lines from Labīd’s Mu’allaqa. The paper does not aim to determine whether a given translation is correct—its purpose is, rather, to use translational hermeneutics as a key analytical tool to identify which translation products may be considered acceptable within the scope of this theory. Translational hermeneutics conceives of translation as re-formulation and, hence, re-creation. The notion of identity is minimised, in translational hermeneutics as well as in this study, by investigating how a source text’s aesthetic message can assume a different form when translated. The assessment of different translations in this paper’s case study demonstrates that translating responsibly is, first and foremost, translating responsively.
Development of a high-power pulse-forming network Marx generator with a long pulse duration
Authors: Liu Shifei , Zhang Jiande , Zhang Zicheng , Zhang Haoran , Zhou Yekai 
Published: December 2022

To meet the application needs for producing long-pulse electron beams and high-power microwaves, a pulse-forming network Marx generator with a pulse duration of 260 ns is presented in this paper. This generator is composed of 20 stages of pulse-forming network modules. Each module is formed with nine capacitors connected in parallel. The generator functions at 44 kV, which is lower than the rated voltage of the mica paper capacitor, to improve the lifetime. The impedance of the generator is designed to reach 45 Ω. To avoid the strong coupling between the adjacent stages, the physical layout of the generator adopts a zigzag design. The generator is housed in a gas pressurized vessel of 600 mm in diameter and 580 mm in length. Across a 50 Ω load, it can deliver quasi-rectangular pulses with a pulse duration of 260 ns and an amplitude of 500 kV for a single shot. The output pulse features a plateau duration of 160 ns and a leading edge of 45 ns. In burst mode, it can steadily output ten pulses of 450 kV at a repetition rate of 10 Hz on either a resistive load or a diode.
Predicting molecule size distribution in hydrocarbon pyrolysis using random graph theory
Authors: Dufour-Décieux Vincent , Moakler Christopher , Reed Evan J. , Cameron Maria 
Published: December 2022

Hydrocarbon pyrolysis is a complex process involving large numbers of chemical species and types of chemical reactions. Its quantitative description is important for planetary sciences, in particular, for understanding the processes occurring in the interior of icy planets, such as Uranus and Neptune, where small hydrocarbons are subjected to high temperature and pressure. We propose a computationally cheap methodology based on an originally developed ten-reaction model and the configurational model from random graph theory. This methodology generates accurate predictions for molecule size distributions for a variety of initial chemical compositions and temperatures ranging from 3200 to 5000 K. Specifically, we show that the size distribution of small molecules is particularly well predicted, and the size of the largest molecule can be accurately predicted provided that this molecule is not too large.
Efficient implementation of time-dependent auxiliary density functional theory
Authors: Hernández-Segura Luis I. , Köster Andreas M. 
Published: December 2022

The random phase approximation of time-dependent auxiliary density functional theory (TDADFT) is rederived from auxiliary density perturbation theory. Our exhaustive validation of TDADFT reveals an upshift of the excitation energies by ∼0.1 eV with respect to standard time-dependent density functional theory. For the computationally efficient implementation of TDADFT, floating point operation optimized three-center electron repulsion integral recurrence relations and their double asymptotic expansions are implemented into the Davidson solver. The computational efficiency of TDADFT is benchmarked with four sets of molecules comprising alkanes, fullerenes, DNA fragments, and zeolites. The results show that TDADFT has a computational scaling between 1.3 and 1.9 with respect to the number of basis functions, which is lower than the scaling of standard time-dependent density functional theory. Due to its computational simplifications, TDADFT is particularly well suited for Born-Oppenheimer molecular dynamics simulations. As illustrative examples, we present the temperature effects on the gas-phase absorption spectra of benzene, naphthalene, and anthracene.
Towards robust complexity indices in linguistic typology
Authors: Oh Yoon Mi , Pellegrino François 
Published: December 2022

Abstract
There is high hope that corpus-based approaches to language complexity will contribute to explaining linguistic diversity. Several complexity indices have consequently been proposed to compare different aspects among languages, especially in phonology and morphology. However, their robustness against changes in corpus size and content hasn’t been systematically assessed, thus impeding comparability between studies. Here, we systematically test the robustness of four complexity indices estimated from raw texts and either routinely utilized in crosslinguistic studies (Type-Token Ratio and word-level Entropy) or more recently proposed (Word Information Density and Lexical Diversity). Our results on 47 languages strongly suggest that traditional indices are more prone to fluctuation than the newer ones. Additionally, we confirm with Word Information Density the existence of a cross-linguistic trade-off between word-internal and across-word distributions of information. Finally, we implement a proof of concept suggesting that modern deep-learning language models can improve the comparability across languages with non-parallel datasets.
Band gap and pseudocapacitance of Gd2O3 doped with Ni0.5Zn0.5Fe2O4
Authors: Azeem M , Abbas Q , Abdelkareem M A , Olabi A G 
Published: December 2022

Abstract
Herein, we present a detailed study of the structural, optical, and electrochemical responses of Gd2O3 doped with nickel zinc ferrite nanoparticles. Doping of Ni0.5Zn0.5Fe2O4 nanoparticles to Gd2O3 powder was done through thermal decomposition at 1000 °C. The average grain size of the mixture was determined to be approximately 95 nm, and phases of cubic Gd2O3, GdO, and orthorhombic prisms of GdFeO3 were identified. The focused ion beam energy dispersive x-ray spectrum (FIB-EDX) mapping results clearly show the morphology of the particles with Gd and Fe as the dominant elements. The structural data were compared with the spectroscopic measurements confirming the formation of multiple phases of oxides and ferrites. The measured optical band gap is significantly redshifted to 1.8 eV and is close to that of nitride compounds of gadolinium metal. The measured specific capacitance was almost 7 Fg−1 at a current density of 1 Ag−1, showing a small drop of 27% when the current density is increased to 10 Ag−1. Cyclic voltammetry (CV) plots of the ferrite doped Gd2O3 electrode at a scan rate of 5 to 100 mV s−1 indicate the pseudocapacitive nature of the material.
Study of Different Management Mechanisms for Distributed Energy Resources
Authors: Shao Shichao , Xu Binkun , Zhong Yuan 
Published: December 2022

Abstract
In the context of distributed energy resources with small capacity, decentralized, heterogeneous characteristics, and increasing scale, it becomes especially important to choose the appropriate way to manage distributed energy. In this study, five typical approaches of distributed energy management are introduced, including management based on the local market, management based on direct control, management based on dynamic tariff, and management based on virtual power plant-based management. Through comparative analysis, distributed energy resources management based on the virtual power plant has good adaptability to the current information and communication technology and power market of the power system compared with other approaches.
Research on Voltage Stabilization Technology for Long-distance Energy Transmission in Orbit
Authors: He Xiong , Meng Xiaomai , Zheng Yan , Wang Li , Wang Jie , Wu Jianchao 
Published: December 2022

Abstract
For large spacecraft such as space stations and spacecraft, due to their huge systems, when the power supply equipment and electrical equipment are remote away, it is necessary to lay a long power supply cable. Therefore, when high-power energy transmission is carried out, the voltage drop of the cable will cause the terminal voltage of the electrical equipment to fluctuate with the transmission power. This will have an impact on some load equipment with high demand for electricity, and even shorten the service life of the equipment. In order to ensure the stability of terminal voltage and controllable amplitude of fluctuation, this paper proposes a voltage stabilization technology for long-distance energy transmission in orbit, and the principle analysis, simulation, and experimental verification are carried out to confirm the effectiveness of the technology.
Mechanical characteristics of a threaded joint of coring tool under makeup torque
Authors: Liu Bin , Yao Kunpeng , Yao Jianlin 
Published: December 2022

Abstract
Core samples play a very important role in understanding the characteristics and conditions of rock formation. The coring tool is the primary equipment used to obtain a core sample, which has been widely used in engineering, and oil and gas drilling, for example. In this paper, the models of conventional coring joints and special coring joints are established to study the mechanical properties of the two joints being subjected to makeup torque load. The results show that the design of the special coring tool with double shoulders effectively shares the force on the thread and has a good mechanical performance compared with the conventional single-shoulder coring tool.
Study on the Enhancement of Heat Transfer Characteristics in Phase Change Process
Authors: Bai Haojiang 
Published: December 2022

Abstract
The effect of adding fins on heat transfer rate of phase change heat storage unit was studied by numerical simulation. Different operating conditions were designed to compare the effects of the number, height and thickness of fins on enhanced heat transfer. The heat storage device is placed vertically with a 500*50*10 mm model, the inlet temperature of the thermal fluid is 373.15 K, and the flow velocity is 0.4 m/s. The optimal heat transfer rate can be determined by monitoring the liquid proportion curve over time and comparing the melting cloud image. The results show that increasing the number of fins can effectively improve the heat transfer efficiency. The 4 mm is the optimal choice for the height and thickness of the fins.
Effect of Surface Roughness of Substrate on Adhesion Strength of Ni/Bi2(Te, Se)3 Interface
Authors: Feng Bo , Zhang Jingshuang , Zhao Huadong , Song Xiaohui 
Published: December 2022

Abstract
Nickle (Ni) is mostly used as the barrier layer at the thermoelectric solder joints to prevent the electrode material and solder from entering the thermoelectric material substrate. However, the Ni layer will peel off from the substrate due to the poor adhesion strength of Ni/Bi2(Te, Se)3 interface. The present study attempted to improve the adhesion strength of the Ni coating by changing the micro-etching time of the substrate in the micro-etching solution and explored the influence of the surface roughness on the adhesion strength of the Ni coating. In addition, we chose a deposition method that combines electroplating and electroless plating on the surface of the Bi2(Te, Se)3 substrate. It revealed that with the increase of micro-etching time, the surface roughness of the substrate becomes larger, and the grain size of the Ni coating increases. Moreover, with the increase of the Bi2(Te, Se)3 substrate surface roughness, the adhesion strength of Ni/Bi2(Te, Se)3 interface increases at first and then decreases. It suggests that the roughness of the substrate surface has remarkable influences on the adhesion strength of Ni/Bi2(Te, Se)3 interface.
Simulation on the Management of Lithium-ion Batteries’ thermal Runaway via Liquid Cooling and Phase Change Barrier
Authors: Xu Haihua , Wu Senming , Chen Ying , Luan Weiling 
Published: December 2022

Abstract
In recent years, vehicle power battery safety accidents have occurred frequently, threatening personal safety, commercial promotion, and social benefits. The escalation of accidents is mainly caused by thermal runaway propagation (TRP) of lithium-ion batteries (LIBs). Therefore, exploring effective TRP control methods is becoming a hotspot for ensuring the safety and performance of electric vehicles. This is pap established, a three-cell TRP mode for the commercial LIB through COMSOL Multiphysics software, which was then verified by experimental results. Then an eight-cell TRP model is constructed to study the effects of thermal insulation and heat dissipation on the TRP characteristics. The results indicate that the phase-change thermal insulation layer shows a strong thermal resistance on the TRP compared with the ordinary thermal insulation layer when the insulation layer is applied between the cells. With the increase of the thickness of the phase change thermal insulation layer, the TRP time became longer while the TRP was not suppressed. A liquid cooling combined with the phase change insulation layer between the cells is conducted to obtain the thermal resistance of TRP, which shows a significant guide for the thermal safety design of LIBs.
Research on Three-Port Converter for New Aerospace Energy Architecture
Authors: Wang Li , Shi Junbiao , Wu Jianchao , Li Huiyao , Liu Mi , Zhao Shuyu 
Published: December 2022

Abstract
The traditional design method of spacecraft power systems based on customization and the combination of two-port converters can no longer meet the increasing application demands of having high power and being modular and versatile. Three-port DC converter, standardized to form a redundant parallel power supply system with a distributed model, is a possible solution to meet the design requirements of the above spacecraft power supply system. In this paper, a three-port converter is designed to complete the MPPT control of the PV array at the input end to maximize the power generated by the PV array, complete the battery charge and discharge control, realize the bidirectional conversion and transmission of the battery charge and discharge power, and complete the control of the load voltage at the output end to ensure the stable and reliable power supply of the load. If the integrated DC converter is used to realize the power transmission and conversion between the three ports at the same time, the volume and weight of the system can be greatly reduced, and then the power density of the system can be improved.
Short-Term Wind Power Prediction Based on Meteorological Process Division
Authors: Sun Shuo , Sun Shukai , Wang Quan , Zhao Pengxiang 
Published: December 2022

Abstract
In the traditional weather classification prediction method based on clustering, the feature quantity is difficult to fully reflect the change information of complex weather, which will weaken the reliability of classification. Therefore, this paper proposes a wind power prediction model based on meteorological process division. Firstly, this method uses the correlation coefficient to analyze the correlation between various meteorological factors and wind power output in numerical weather and then uses the wind speed after wavelet denoising to divide the weather fluctuation process and extract the fluctuation characteristics of each fluctuation process. Secondly, the meteorological process is divided by a hierarchical clustering algorithm, and the types of meteorological processes are judged by a dynamic time planning algorithm. Finally, the wind power prediction model of a long short-term memory (LSTM) network is established based on different meteorological processes. The results show that this method can provide a reference for improving the accuracy and interpretability of short-term wind power forecasting.