bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Spray-Dried Self-Stabilizing Nanocrystal Emulsion of Traditional Chinese Medicine: Preparation, Characterization and ex vivo Intestinal Absorption
Authors: Zhang Jifen , Xu Wenxiu , Meng Fanjing , Yi Tao 
Published: November 2024

AbstractSalvia miltiorrhizae (Danshen, the rhizome of Salvia miltiorrhiza Bge.) and Chuanxiong rhizome (Chuanxiong, the rhizome of Ligusticum chuanxiong Hort.) are two traditional Chinese medicines that have been widely used for the treatment of cardiovascular and cerebrovascular diseases. However, formulation development is difficult due to the complexity of the active ingredients, particularly the water-insoluble tanshinones and volatile oil of Chuanxiong rhizome, which cannot be absorbed via oral administration in conventional dosage forms. This study aimed to develop a self-stabilized nanocrystal emulsion co-loading the water-soluble, insoluble, and volatile active ingredients of Salvia miltiorrhizae and Chuanxiong rhizome to improve the bioavailability of the drugs. In this work, a high-pressure homogenization method was used to prepare a self-stabilizing nanocrystal emulsion. The emulsion was then spray-dried using hydroxypropyl-β-cyclodextrin. The dispersibility and storage stability of the spray-dried emulsion, the particle size and morphology of the emulsion droplets, and the drug content and phase distribution of the reconstituted emulsion were evaluated. An everted intestinal sac model was established, and high-performance liquid chromatography was used to determine the concentration of six active components (ferulic acid, salvianolic acid B, senkyunolide A, ligustilide, cryptotanshinone, and tanshinone IIA) and to assess the cumulative uptake amount of the drug and the apparent permeability coefficient. A mixture of the crude materials of tanshinones extract, total salvianolic acid, ferulic acid, and volatile oil of Ligusticum Chuanxiong was used as a control. The results showed that the spray-dried emulsion can be easily reconstituted into a uniform submicron emulsion with no significant changes in particle size, morphology, and microstructure of the emulsion droplets compared with the original emulsion before drying. The self-stabilizing nanocrystal emulsion significantly improved the intestinal absorption of water-insoluble components (tanshinone IIA, cryptotanshinone, and ferulic acid), and volatile oil components (senkyunolide A and ligustilide). Overall, the spray-dried self-stabilizing nanocrystal emulsion represents a potential oral formulation for Salvia miltiorrhiza and Chuanxiong rhizoma.
Bow–Hunter Syndrome Due to Tandem Lesions; A Case Report
Authors: Yokoya Shigeomi , Nakauchi Jun , Takezawa Hidesato 
Published: November 2024

AbstractBow–Hunter syndrome (BHS) includes a form of stroke caused by dynamic factors affecting the extracranial vertebral artery (VA), such as rotation-induced flow disturbance at the atlantoaxial level. BHS is a rare condition that can result from a variety of factors, including abnormal bone compression and vertebral instability. So far, there have been no reports in which both vertebral instability and osteophytes compress the VA at different sites, leading to stroke. Herein, we present a rare case of stroke attributed to BHS involving thrombosis formation due to osteophyte compression at C3/4 and VA occlusion due to vertebral instability at the C4/5 overlapped. A 72-year-old male presented with rotational vertigo and vomiting associated with a cerebellar infarction. Digital subtraction angiography revealed severe stenosis of the left VA with an intra-arterial thrombus. Percutaneous transluminal angioplasty improved the stenosis; however, intravascular ultrasound revealed compression of the VA by osteophytes at C3/4. Additionally, left VA occlusion at C4/5 was confirmed because of vertebral instability. The osteophyte was removed via the anterolateral approach, and the VA was decompressed. The patient's postoperative course was uneventful, with no recurrence for more than 2 years. BHS can occur in the lower cervical spine when vertebral instability coincides with intimal arterial damage caused by osteophytes at other sites.
Student machine translation use in a transnational English-medium instruction university
Authors: High Michael D. , McIntosh Andrew , Li Shuhan , Ji Yu 
Published: November 2024

Abstract
Research on machine translation in language courses has proliferated over the last decade, yet few studies have
considered use in English medium-instruction programs that aim to simultaneously develop student language ability and knowledge of
content. This study therefore investigates student use and beliefs about machine translation at a transnational Chinese
university. Interviews with twenty-one undergraduate students and fourteen instructors found that student use of machine
translation is widespread, though variable. Students report using machine translation to increase reading comprehension,
vocabulary, and speed; translate first language writing to raise target language writing quality and complexity; and decrease the
amount of copied (though cited) content. Instructors report student use of simultaneous speech translation in class,
mistranslations in student writing indicating a lack of engagement with English language texts, and cross-language plagiarism.
Both students and instructors view machine translation as a tool: a potentially beneficial one that, if used uncritically and
constantly, can stunt language development. Students are thus faced with a choice between developing their English and the expediency
of quickly reading and writing in Chinese, a choice heavily affected by student workload, performance pressures, and, arguably,
lack of machine translation literacy.
Melanaphis sorghi
: A review and synthesis of its control options 10 years post detection of a new invasive haplotype in the United States of America
Authors: Uyi Osariyekemwen , Toews Michael D. 
Published: November 2024

Abstract

Melanaphis sorghi
is a serious invasive insect pest of grain, sweet and forage sorghum in the southern USA. Ten years post invasion by this aphid, the authors reviewed the literature on the host range, distribution, impact and available management options. Since the detection of
M. sorghi
in Texas in 2013, this pest rapidly spread into 25 states that accounted for over 98% of the nationwide sorghum production. At high densities and infestations, feeding by
M. sorghi
causes direct injury and reduces plant quality leading to significant yield reductions and severe economic losses. Multiple management methods aimed at suppressing aphid populations and reducing yield and economic losses have been developed and are available to growers. These methods include the use of in-furrow and foliar insecticide applications, resistant sorghum cultivars, cultural methods like late planting, and conservation of natural enemies (predators and parasitoids) in sorghum production. A comprehensive review of the literature indicated that utilizing a combination of management methods was more efficient in suppressing aphid populations and improving yield across a range of locations. Research focused on integrated pest management of
M. sorghi
is still needed to refine IPM strategies in sorghum production.
An improved frequency domain model for floating offshore wind turbines
Authors: Bouman Gijs , Schipper Jurrien 
Published: November 2024

Abstract
A cost- and time-efficient design evaluation tool can assist the FOWT industry in evaluating many different concepts. An open source frequency domain model for FOWT applications shows promising results for the integral, coupled response, but clear differences to higher fidelity time-domain studies are observed. In this work, the hydrodynamic modelling is improved by using a potential flow diffraction code, and the implementation of the floating feedback mechanism has been improved. Attempts have been made to improve the mooring system modelling by implementing a lumped mass approach, and to include the excitation of a turbulent wind spectrum. A good match in the system’s motion responses is obtained in the wave frequent range when compared to time-domain results. At lower frequencies, the excitation from the turbulent wind spectrum remains to be improved on. At higher frequencies, the mooring line modelling is to be improved for reliable results. For both effects, a clear outline is set up to improve in future work. The current model is capable of accurately modelling fully coupled wave-frequent motions in combined wind-wave environments in an efficient manner. When the suggested improvements are incorporated in future work, it is expected that a good match in the low- and high-frequency ranges can be obtained as well, allowing to study the full motion- and mooring tension response. Finally the tool will give developers and designers the opportunity to evaluate a large amount of designs in a cost and time efficient manner.
Dynamic Formulation of the Double Multiple Stream Tube Model of Offshore Vertical Axis Wind Turbines
Authors: Sanvito Andrea G , Tomassoni Claudio , Fusetti Alberto , Persico Giacomo , Dossena Vincenzo 
Published: November 2024

Abstract
The paper proposes a novel algorithm to simulate Vertical Axis Wind Turbines in floating motion based on a low-fidelity approach. The conventional Double Multiple Stream Tube Model is formulated as a steady state model to deal with the inherent unsteady aerodynamics of VAWTs. The Double Multiple Stream Tube Model makes use of an average contribution of the blade passages over a revolution to solve the Blade Element Momentum equation. The model reduces the dependence of the solution (the induction field) to a space variable. Floating Vertical Axis Wind Turbines undergoes a variation of aerodynamic quantities according to wave periods, also different from the rotor period. This paper provides a new formulation of the Double Multiple Stream Tube Model to solve the turbine rotation in time and space, introducing the variation of the platform velocity and a revised approach to the downstream actuator disc. The most impactful parameter is found to be the wave frequency: wave periods at full-scale are lower than the ones of the turbine rotor, featuring optimal operating points at low tip speed ratios. The increase of the wave frequency highlights the differences of the average torque prediction for a single blade up to 10% between the unsteady and the standard formulation. In this context, the development of fast low-fidelity computational tools play a key role in the assessment of the preliminary designs of Floating Offshore Vertical Axis Wind Turbines and it will be used to optimise the aerodynamic design of the laboratory scaled model under surge motion.
Assessment of offshore wind conditions in coastal areas of Japan using single scanning Doppler LiDAR
Authors: Mano A , Ueno A , Itozaki S , Ishihara T 
Published: November 2024

Abstract
In this study, offshore wind conditions in coastal areas of Japan measured by single scanning Doppler lidar is investigated. The effects of measurement range as well as rainfall and snowfall on data availability of the Doppler scanning lidar are examined. Data filtering criteria are then proposed and verified by data thinning to meet both accuracy and post-processed data availability requirements for offshore wind measurements at multiple altitudes. Finally, one-year offshore wind measurement with three different elevation angles is conducted using a single Doppler scanning lidar to investigate wind conditions in the coastal region of Northern Japan. It is found that the accuracy of 15-second average wind speed measurements by PPI (Plan Position Indicator) scan depends on the sector size. An accurate 10-minute mean wind is measured when the sector size is larger than 39 degrees and proportion of valid data acquisition is more than 10% of the time duration. The vertical and horizontal distributions of offshore wind speed in different wind directions are also analyzed and the effects of onshore topography on offshore wind conditions are clarified.
A dynamic simulation-based methodology for systematic assessment of workability on floating wind turbines
Authors: Lange Johannes , Heine Snedker Thor , Collu Maurizio , Bayati Ilmas 
Published: November 2024

Abstract
Floating offshore wind technology experiences significant motion responses when exposed to environmental wave and wind loads, possibly interfering with technicians conducting maintenance work. Industrial interest is rising in the assessment of workability, as impairments will decrease the availability of the asset and possibly affect the business case for the wind farm project. Quantification of impairments are formed from three workability indicators: Nordforsk Seakeeping Criteria, ISO 2631-1, and ISO 6897. The present work shows a likely workability decrease, quantified to 2.4% for the Nordforsk Seakeeping Criteria, for the UMaine VolturnUS-S reference platform and the IEA 15MW reference wind turbine. Peak wave period and wave heading direction are found to affect the results and indicate the importance of conducting the study in site-representative conditions. In addition, varying results for different indicators and methodological approaches indicate the need for common rules and standards in the floating wind industry to enable transparency during project development.
Wind Turbine Gearbox Anomaly Detection Using Signal-to-Image Processing Algorithms and Convolutional Autoencoder
Authors: Sheikhi S. , Keprate A. , Ghose D. 
Published: November 2024

Abstract
In this study, signal-to-image conversion techniques coupled with a convolutional auto encoder (CAE) are used for the detection of anomalies in the wind turbine (WT) gearbox system. Firstly, the time series data is converted to images using six different algorithms. Thereafter, these images are stacked into the multi-dimensional structures known as “data cubes”, which is finally fed into CAE for the anomaly identification. The results of this study demonstrate the enhanced efficacy of the method specially in the Gramian Angular Field model in detecting anomalies accurately, suggesting a viable path towards the implementation of dependable and affordable WT monitoring systems. This will open the door for the renewable energy industry’s condition monitoring procedures to become more automated and digitalized.
Approaches and Challenges in FEED and Detailed Design Process of Floating Substructures
Authors: Karch M , Voßbeck M , Wendt F , Guindo L M , Borisade F , Wilms L , Aardal A B , Psichogios N , Grimsrud G , Matha D 
Published: November 2024

Abstract
In the FEED or detailed design phases, the floating foundation designers have to deal with complex structural design aspects and meet certification or class requirements for structural verifications, such as yield and buckling checks as well as fatigue checks for steel structures. The designer faces several challenges during the structural verification process, starting with the accurate definition of the complex external load state with the simultaneous action of aerodynamic, hydrostatic and hydrodynamic loads, inertia and mooring loads, followed by the processing and handling of very large load case tables required for the analysis of floating wind turbines, down to time efficient post-processing of the analysis results compatible with typical commercial project schedules. The paper discusses some of the currently existing and applied methodologies on how the structural checks are typically performed in these circumstances, and addresses their advantages and shortcomings. In addition, a new Global Influence Superposition (GIS) methodology that has been developed by Ramboll is presented, which is able to address many of the existing challenges in an efficient manner.
Sensitivity analysis for multi-measurement points based SHM in the mooring lines of floating offshore wind turbines
Authors: Sakaris Christos S. , Anastasiadis Nikolas P. , Schlanbusch Rune , Kandukuri Surya T. 
Published: November 2024

Abstract
Structural health monitoring in floating offshore wind turbines’ mooring lines is vital for detecting early faults and preventing disruptions. Currently, sporadic and expensive monitoring is conducted via remote-operating vehicles. Efficient, automated, economical monitoring methods based on a continuous stream of data acquired via multiple measurement points in the wind turbine, are required. Such methods based on vibration signals have been investigated limitedly for steel chains. Recently, faulty synthetic mooring lines of a simulated 10MW semi-submersible wind turbine have been detected under varying environmental conditions and via the Functional Model Based Method (FMBM) equipped with functional models. The uncertainty due to the conditions’ stochasticity has been addressed by training the models using ten signal realizations per condition (wind) under the healthy wind turbine and from each of two measurement points. The current study presents a preliminary sensitivity analysis of the FMBM’s capability in detecting the simulated wind turbine’s faulty mooring lines when the functional models are trained using one signal realization per varying condition (wind) from each measurement point. The method’s effectiveness is evaluated with acceleration signals from 11 healthy/ 66 faulty (reduced stifness in one mooring line) cases. The FMBM detects all cases even when trained using one signal realization.
Structure optimization of transmission coil of wireless power transmission system for rail transit vehicles
Authors: Wang Jun , Chi Qingguang 
Published: November 2024

Abstract
To solve the transmission efficiency problem of traditional wireless energy systems applied to rail transit vehicles. In this paper, the key components of a wireless power transmission system, such as the transmission efficiency of the transmission coil and the poor anti-deviation ability of the coil, are studied. Firstly, this paper analyzes the traditional planar circular and square coil shapes, analyzes the magnetic field characteristics of the traditional transmission coil structures by ANSYS Maxwell simulation software, and obtains the advantages and disadvantages of different coil structures. According to the analysis structure, the coil structure is optimized and improved, and the coil structure form of the combined coil is put forward. Through the comparative analysis of finite element simulation software, it is attested that combined coil structure has a significant improvement in transmission efficiency and anti-deviation ability.
Data-driven parallel optimization method for sensor placement and state estimation based on generative adversarial principle in unobservable systems
Authors: Wei Chengzhi , Li Ming , Liu Yang , Huang Runhong , Chen Yizhe , Gao Yifan , Gan Kai , Zhao Ruifeng , Lu Jiangang , Che Liang 
Published: November 2024

Abstract
Data-Driven State Estimation (DDSE) is characterized by low measurement requirements and high estimation accuracy, which provides the possibility of stable and efficient estimation for unobservable distribution systems with low measurement quantities. However, the lack of an efficient and flexible sensor placement method with DDSE at this stage hinders the development and application of DDSE in distribution networks. To address this issue, a data-driven parallel optimization method for sensor placement and state estimation based on the generative adversarial principle in unobservable systems is proposed in this paper. This method transforms sensor placement and state estimation into an adversarial learning model, solvable through gradient descent. The sensor placement optimization strategy generates a cost-effective placement scheme, while DDSE evaluates the sensor scheme, provides improvement suggestions, and enhances its estimation accuracy. Through adversarial training, the proposed scheme yields a significantly reduced number of sensor placement schemes compared to traditional methods, while maintaining high precision of DDSE. Simulation results on the IEEE-33 node system validate the effectiveness of the proposed approach.
Simulation inversion analysis of simultaneous commutation failure of Zhaoyi and Yindong DC
Authors: Gu Wenbo , Ma Xin , Lv Sizhuo 
Published: November 2024

Abstract
Aim at the three times simultaneous commutation failure of two Multi-outfeed and Multi-infeed DC Systems in a Similar Path of Ningxia, the Ningxia power grid model is built in Power System Analysis Software Package (PSASP) with actual parameters, and the accident inversion simulation is carried out based on the operation state of the power grid before the fault. Based on the inversion simulation, the simulation results were compared with the measured PMU data. The results showed that the trend of simulation and the measured curve is consistent, and the simulation was slightly more serious than the actual fault, but the overall error was less than 10%, which verified the accuracy of the simulation model and method, and provided a basis for the subsequent simulation analysis of the power grid operation mode.
Application of European fine-grid numerical forecasting products for deviation analysis along transmission lines
Authors: Liu Weidong , Yang Guozhu , Tian Maojie , Hu Wei , Fang Pingkai , Wei Enhui 
Published: November 2024

Abstract
Aiming at the current problem of lack of objective prediction products for deviation prediction along transmission lines, a deviation prediction model is established based on the historical statistical characteristics of deviation of transmission lines by using European fine-grid numerical prediction products and actual observation data. The model is combined with the operation specification of transmission lines, and the European fine-grid numerical prediction product is revised by using the normalization method to obtain a more accurate deviation prediction product. By analyzing the differences between the European fine-grid numerical prediction product and the actual observation data, the deviation prediction software is established, which can effectively improve the prediction accuracy and stability of the deviation situation of transmission lines. The results show that the software has good prediction performance and can effectively reduce the false alarm rate and omission rate of transmission line deviation prediction and improve the reliability and stability of the power grid.
Terminal pose control method of power tower climbing robot for job safety
Authors: Yu Shanhui , Zeng Yonghao , Zhan Peilin 
Published: November 2024

Abstract
With the increasing demand for power system maintenance, the safety and efficiency of power tower climbing operations have become the focus of industry attention. This article proposes an end pose control method for power tower climbing robots aimed at job safety, targeting the problem of end pose control for power tower climbing robots. Firstly, the motion data of the power tower climbing robots is collected by deploying sensors. Subsequently, preprocessing and feature extraction are performed on the collected data to ensure its accuracy and availability. On this basis, an accurate end pose control model for climbing robots is constructed, which can adjust the robot’s motion parameters in real time to adapt to the complex changes in the tower structure. The experimental results show that the control method is effective and stable in actual climbing operations, significantly improving the efficiency and safety of climbing robots. This provides an innovative solution for the automation maintenance of power towers, which has important theoretical value and practical application prospects.