bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predefined‐time guaranteed performance attitude takeover control for non‐cooperative spacecraft with uncertainties
Authors: Wang Zeng , Ma Jun , Hu Liangmou 
Published: May 2023

AbstractThis article addresses the predefined‐time guaranteed performance attitude tracking problem for takeover the non‐cooperative target spacecraft with model uncertainties, adversarial control torque and gravity gradient torque. Firstly, a novel prescribed performance function (NPPF) is exploited, and then a new non‐singular predefined‐time terminal sliding mode (NPTSM) surface with the transformed tracking error is constructed. Secondly, a non‐singular predefined‐time prescribed performance control (NPTPC) is designed to achieve the guaranteed performance within predefined‐time. It is proved that the proposed control can ensure that the attitude tracking error satisfies the prescribed performance boundaries all the time and converges to a preset small region centered around the equilibrium point within predefined time and then tends to the equilibrium point asymptotically. The appealing feature of the proposed control is predefined‐time stability with quantified transient performance and steady‐state accuracy. Simulations verify the effectiveness and improved performance of the proposed approach.
The Toolbox for River Velocimetry using Images from Aircraft (TRiVIA)
Authors: Legleiter Carl J. , Kinzel Paul J. 
Published: May 2023

AbstractAccurate knowledge of the speed at which water moves along a river is essential for understanding ecohydraulic processes and managing natural resources. Measuring flow velocity via remote sensing can be more efficient than conventional field methods, and powerful computational techniques for inferring velocity fields from videos or image time series have been developed. The development of dedicated software tools for particle image velocimetry (PIV) could facilitate greater use of these methods by the river community. This paper introduces a standalone app designed for this exact purpose: the Toolbox for River Velocimetry using Images from Aircraft, or TRiVIA. The program provides a complete workflow for producing spatially distributed velocity vectors from a video or sequence of images, all within an accessible graphical user interface. TRiVIA includes modules for extracting and resampling frames, stabilization and geo‐referencing images, defining a region of interest, enhancing images, performing PIV with an efficient ensemble correlation algorithm, visualizing results, assessing accuracy assessment, and exporting PIV output. We illustrate the software's capabilities using an example data set from a large river in Alaska. The initial release of the toolbox is now freely available. Augmenting TRiVIA to incorporate bathymetric information could enable discharge calculation functionality.
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model
Authors: Weinstein Ben G. , Marconi Sergio , Graves Sarah J. , Zare Alina , Singh Aditya , Bohlman Stephanie A. , Magee Lukas , Johnson Daniel J. , Townsend Phillip A. , White Ethan P. 
Published: May 2023

AbstractMeasuring forest biodiversity using terrestrial surveys is expensive and can only capture common species abundance in large heterogeneous landscapes. In contrast, combining airborne imagery with computer vision can generate individual tree data at the scales of hundreds of thousands of trees. To train computer vision models, ground‐based species labels are combined with airborne reflectance data. Due to the difficulty of finding rare species in a large landscape, many classification models only include the most abundant species, leading to biased predictions at broad scales. For example, if only common species are used to train the model, this assumes that these samples are representative across the entire landscape. Extending classification models to include rare species requires targeted data collection and algorithmic improvements to overcome large data imbalances between dominant and rare taxa. We use a targeted sampling workflow to the Ordway Swisher Biological Station within the US National Ecological Observatory Network (NEON), where traditional forestry plots had identified six canopy tree species with more than 10 individuals at the site. Combining iterative model development with rare species sampling, we extend a training dataset to include 14 species. Using a multi‐temporal hierarchical model, we demonstrate the ability to include species predicted at <1% frequency in landscape without losing performance on the dominant species. The final model has over 75% accuracy for 14 species with improved rare species classification compared to 61% accuracy of a baseline deep learning model. After filtering out dead trees, we generate landscape species maps of individual crowns for over 670 000 individual trees. We find distinct patches of forest composed of rarer species at the full‐site scale, highlighting the importance of capturing species diversity in training data. We estimate the relative abundance of 14 species within the landscape and provide three measures of uncertainty to generate a range of counts for each species. For example, we estimate that the dominant species, Pinus palustris accounts for c. 28% of predicted stems, with models predicting a range of counts between 160 000 and 210 000 individuals. These maps provide the first estimates of canopy tree diversity within a NEON site to include rare species and provide a blueprint for capturing tree diversity using airborne computer vision at broad scales.
Schiff Base Synthesis with a New Reliable Method and Investigation of Their Inhibition Effects on Glutathione S‐Transferase and Cholinesterase Enzymes
Authors: Balcı Neslihan , Çelik Hülya , Türkan Fikret , Çelebioğlu Neslihan , Çelik Tuba , Bursal Ercan 
Published: May 2023

AbstractThe principle purpose of this study is to synthesize some Schiff base derivatives with a new microwave irradiation technique and investigate their enzyme inhibition effects. Related Schiff base compounds (1 a–1 h) were synthesized from 4‐fluoro aniline and some substituted benzaldehyde derivatives (3 a–3 h). The chemical structures of Schiff bases were elucidated by various spectroscopic methods (1H NMR,13C NMR). The inhibitory effects of the synthesized compounds against acetylcholinesterase, butyrylcholinesterase and glutathione S‐transferase were investigated. Thein vitroenzyme study determined the best enzyme inhibitors for AChE, BChE, and GST enzymes as3 h, 3 b, and3 ecompounds, respectively. The results were compared with the standard drugs tacrine for cholinesterase and ethacrynic acid for GST enzymes. Molecular docking results demonstrated the low binding energy values between −5.8 kcal/mol and −8.7 kcal/mol with hydrogen bonding, hydrophilic, and hydrophobic interactions at the active catalytic sites of the enzymes.
Voltammetric Quantification of the Antibiotic Roxarsone using a Surface‐Modified Screen‐Printed Carbon Electrode
Authors: Tiwari Mritunjay S , Throat Ramchandra G , Borge Vikas V , Kadu Arun K 
Published: May 2023

AbstractHerein, we report the electrochemical determination of roxarsone (ROX) on modified screen‐printed carbon electrodes (SPCE). Graphene oxide was reduced electrochemically on the working area of SPCE using cyclic voltammetry (CV) to form electrochemically reduced graphene oxide (ErGO), followed by electrochemical deposition of gold (Au) on ErGO/SPCE to get a final modified electrode Au/ErGO/SPCE. The modified electrode offered a significant surface area and improved electron transfer capability; hence it was used as an electrochemical sensor for the determination of ROX which is commonly used in meat production and poultry as a supplement to increase weight and improve feed efficiency. The effect of pH on the electrochemical behaviour of ROX on the Au/ErGO/SPCE was investigated by (CV) and square wave voltammetry (SWV). Under optimum experimental conditions, the linear calibration range, the limit of detection (LOD), and quantification (LOQ) were found to be 1 μmol L−1–1000 μmol L−1, 14.4 nmol L−1, and 47.9 nmol L−1 respectively. The proposed electrochemical sensor was successfully applied to determine low concentrations of ROX in lab samples as well as in real meat (spiked) samples. Overall, a good recovery rate and accuracy were obtained, endorsing onsite use of the developed sensor for quick and accurate analysis.
Ag‐Catalyzed, Selectfluor‐Mediated External Acid‐Free Minisci Reaction in Aqueous Solution
Authors: Wang Wengui , Song Yingyue , Xing Shuya , Li Jinfeng , Feng Wei , Qu Xudong , Wang Shoufeng 
Published: May 2023

AbstractA silver‐catalyzed Minisci‐type reaction is reported here. Alkylation of electron‐deficient N‐heterocycles is achieved in aqueous solution through decarboxylative cross‐coupling of aliphatic acids and N‐heteroarenes in open air without external Brønsted acid. Selectfluor is used as a mild oxidant. Different substituents on heterocycles and acids are tolerated. Primary and secondary alkyl could be introduced efficiently into the heteroarenes.
Mitigating Jahn–Teller Effect in Layered Cathode Material Via Interstitial Doping for High‐Performance Sodium‐Ion Batteries
Authors: Fang Hui , Ji Haocheng , Zhai Jingjun , Wang Chaoqi , Zhu Chen , Chen Guojie , Chu Mihai , Zhang Taolve , Ma Zhewen , Zhao Wenguang , Ji Wenhai , Xiao Yinguo 
Published: May 2023

AbstractLayered transition metal oxides are promising cathode materials for sodium‐ion batteries due to their high energy density and appropriate operating potential. However, the poor structural stability is a major drawback to their widespread application. To address this issue, B3+ is successfully introduced into the tetrahedral site of Na0.67Fe0.5Mn0.5O2, demonstrating the effectiveness of small‐radius ion doping in improving electrochemical performance. The obtained Na0.67Fe0.5Mn0.5B0.04O2 exhibits excellent cycling performance with 88.8% capacity retention after 100 cycles at 1 C and prominent rate performance. The structure‐property relationship is constructed subsequently by neutron powder diffraction, in situ X‐ray diffraction and X‐ray absorption spectroscopy, which reveal that the Jahn–Teller distortion and the consequent P2‐P2' phase transformation are effectively mitigated because of the occupancy of B3+ at the interstitial site. Furthermore, it is found that the transition metal layers are stabilized and the transition metal dissolution are suppressed, resulting in excellent cycling performance. Besides, the prominent rate performance is attributed to the enhanced diffusion kinetics associated with the rearrangement of Na+. This work provides novel insight into the action mechanism of interstitial site doping and demonstrates a universal approach to improve the electrochemical properties of P2‐type manganese‐based sodium cathode materials.
Time‐Resolved Electrochemical Impedance Spectroscopy of Stochastic Nanoparticle Collision: Short Time Fourier Transform versus Continuous Wavelet Transform
Authors: Ha Long Duong , Kim Ki Jun , Kwon Seong Jung , Chang Byoung‐Yong , Hwang Seongpil 
Published: May 2023

AbstractThis work demonstrates the utilization of short‐time Fourier transform (STFT), and continuous wavelet transform (CWT) electrochemical impedance spectroscopy (EIS) for time‐resolved analysis of stochastic collision events of platinum nanoparticles (NPs) onto gold ultramicroelectrode (UME). The enhanced electrocatalytic activity is observed in both chronoamperometry (CA) and EIS. CA provides the impact moment and rough estimation of the size of NPs. The quantitative information such as charge transfer resistance (Rct) relevant to the exchange current density of a single Pt NP is estimated from EIS. The CWT analysis of the phase angle parameter is better for NP collision detection in terms of time resolution compared to the STFT method.
Flexural stiffness of recycled aggregate concrete beams under combined effect of load and steel corrosion
Authors: Wang Jian , Qin Hongtu , Xu Qiang 
Published: May 2023

AbstractSince reinforced concrete members suffer from different types of loads during their service life, the steel bars embedded in reinforced concrete members can be easily corroded in chloride‐laden environment. To investigate the influence of combined effect of load and steel corrosion on the flexural stiffness of recycled aggregate concrete (RAC) beams, 12 RAC beams were prepared and tested. The effects of load level (i.e., the ratio of the load applied to beams to the ultimate load) and recycled coarse aggregate (RCA) replacement ratio (i.e., the ratio of RCAs to replace natural coarse aggregates) on the internal force arm coefficient of cracking cross‐section, the elastoplastic resistance moment coefficient of cross‐section, and the strain incongruity coefficient of corroded tensile steel bars were analyzed, and a calculation model for flexural stiffness of RAC beams under combined effect of load and steel corrosion was established. The results showed that when the ratio of bending moment to ultimate bending moment of the pure bending part of beams was within 0.55–0.80 and the average mass loss of tensile steel bars was less than 3.23%, 0.85 could be adopted as the internal force arm coefficient of cracking cross‐section. The elastoplastic resistance moment coefficient of cross‐section was approximately a constant when the corroded RAC beams were in the service stage, while it increased obviously with the load level. There was a strong linear relationship between strain incongruity coefficient and average mass loss of tensile steel bars during the service stage of corroded RAC beams, and the strain incongruity coefficient increased linearly with the load level. The calculated values of the model of flexural stiffness proposed in this paper were in reasonable agreement with the experimental values.
Prediction of mechanical behavior of reinforced concrete bridges following a fire based on the fire dynamics simulator–kriging model
Authors: Lu Pengzhen , Shi Qingtian , Ye Kai , Wu Ying , Lu Libo , Zhou Yutao 
Published: May 2023

AbstractThe performance degradation and degree of damage of bridge materials are more extensive at the fire source compared to other bridge locations. The traditional finite‐element model (FEM) modification method leads to a large error and is unable to achieve a good correction effect. In addition, as the traditional static load test method is used to evaluate the bearing capacities of bridges postfire, the risk of bridge damage, or collapse‐induced by secondary loading—remains unaddressed. To solve these problems, this paper proposes a modified FEM of a bridge following a fire based on the fire dynamics simulator (FDS)–artificial intelligence algorithm. The static behavior of a bridge is predicted using the modified FEM. First, a numerical simulation of a bridge fire is conducted using the FDS to obtain the temperature field distribution and determine the influence ranges of local design parameters of the bridge at the fire source. Second, a response surface model with a high fitting accuracy is constructed to modify the initial FEM by using the artificial intelligence algorithm proxy model together with dynamic load test results for the bridge postfire. Finally, the static behavior is predicted using the updated model. In this study, an actual hollow girder bridge postfire is taken as the research object, and the static behavior prediction results obtained via the proposed method are compared with the static loading test results. The results indicate that the response‐predicted value of the modified FEM is close to the measured value of the bridge postfire.
A case series of 37 surgically managed, paraplegic, deep pain negative French bulldogs, with thoracolumbar intervertebral disc extrusion, from two English referral centres
Authors: Jones Gareth Michael Couper , Cherubini Giunio Bruto , Llabres‐Diaz Francisco , Caine Abby , De Stefani Alberta 
Published: May 2023

AbstractBackgroundThoracolumbar intervertebral disc extrusions (TL‐IVDEs) are a common spinal disorder in dogs, especially within chondrodystrophic breeds. Loss of deep pain perception is a well‐documented negative prognostic indicator in dogs with TL‐IVDE. The objectives of this study were to report the rate of return of deep pain perception and independent ambulation in surgically treated, paraplegic, deep pain perception negative French bulldogs with TL‐IVDEs.MethodsA retrospective case series of deep pain perception negative dogs with TL‐IVDE presenting to two referral centres between 2015 and 2020 was conducted. Medical and MRI records were reviewed, including the following quantitative MRI changes: lesion length, extent of spinal cord swelling and severity of spinal cord compression.ResultsThirty‐seven French bulldogs met the inclusion criteria, with 14 of 37 (38%) regaining deep pain perception by the time of discharge (median hospitalisation 10.0 days [interquartile range 7.0–15.5 days]) with two dogs independently ambulatory (6%). Ten of the 37 dogs were euthanased during hospitalisation. Significantly fewer dogs (3/16, 19%) with L4‐S3 lesions regained deep pain perception compared to 11 of 21 (52%) of dogs with T3‐L3 lesions (p = 0.048). Quantitative MRI changes were not associated with the return of deep pain perception. After discharge, with a median 1‐month follow‐up period, an additional three dogs regained deep pain perception and five dogs became independently ambulatory (17/37 [46%] and 7/37 [19%], respectively).Conclusions and clinical importanceThis study adds support to the contention that the recovery of French bulldogs with TL‐IVDE from surgery is poor compared with other breeds; further prospective, breed‐controlled studies are indicated.
Trends in regolith thickness in a headwater catchment, Sierra Nevada, California
Authors: Ferrell Ryan M. , Devine Scott , O'Geen Anthony T. 
Published: May 2023

AbstractRooting in deep regolith enables forests to withstand seasonal and annual precipitation shortfalls. Despite its ecological importance, spatial patterns in regolith thickness within forest ecosystems are scarcely documented. Regolith thickness was estimated at 66 sites throughout a 543‐ha watershed in the southern Sierra Nevada by hand auger to point of failure or a maximum depth of 7.5 m, describing a minimum thickness estimate. Regolith consists of 1–2 m of soil overlying thick and porous weathered granodiorite. Depth to auger failure ranged from 1.52 to an indeterminate depth beyond 7.5 m. A total of 27 points exceeded 7.5 m depth. Normal, lognormal, and gamma data distribution models were fitted to observations to extrapolate thickness across the watershed and estimate thicknesses beyond the measurement limitation. Predictions for the 95th percentile of regolith thickness varied substantially; 26.05 m for lognormal, 16.87 m for gamma, and 9.56 m for normal. Considering any best fit model, >55% of the watershed area was deeper than 5 m. Depth classes were formed to evaluate the extent to which topography is associated with spatial trends in regolith thickness. Spatial patterns were related to two covariate proxies (distance from stream channel and topographic wetness) with the general landscape trend of shallow depth classes (<3.3 m) in lowlands and deeper regolith classes (>7.5 m) in uplands. The normalized difference vegetation index signatures over the late stages of a 5‐year drought were greener in the lowlands. In contrast, upland forests displayed widespread tree die‐off, suggesting deep water storage does not maintain forests over long‐term drought.
Regulation, Legislation and Policy—An International Perspective
Authors: Kleverlaan Edward , Reichelt-Brushett Amanda 
Published: May 2023

AbstractIn accordance with Part XII of the United Nations Law of the Sea Convention (UNCLOS) and various other related international agreements, parties are obliged to prevent, reduce and control pollution of the marine environment. The responsibility to implement these agreements or other non-regulatory codes or standards rests primarily on national governments.
Successful Practices of Leadership on School Improvement: A Case Study in a Private School in Dubai
Authors: Abouelanein Ahmed ElSayed , Hossni Mohamed 
Published: May 2023

AbstractThis paper aimed to investigate successful practices of school leadership that lead to school improvement. To achieve this, the paper adopted the mixed-method approach and utilized two instruments: The first instrument is teachers’ and leadership members’ perceptions of school improvement questionnaire to collect quantitative data, the second instrument is a semi-structured interview with the school principal for the qualitative data. The analysis of both collected data led to a conclusion that school principal careful and professional practices have a significant impact on the overall school improvement. These practices include parents’ engagement, curriculum reform, teachers’ well-being, and professional development for both teachers and leadership members. This case study is an evidence-based guideline for educators and decision makers seeking quality education in their personalized- context learning community.
Detecting Representation Isomorphism Through Twisted Spectra
Authors: Cornelissen Gunther , Peyerimhoff Norbert 
Published: May 2023

AbstractIn this chapter, we give a spectral characterisation of isomorphism of induced representations. We also discuss strong isospectrality in the sense of Pesce (which, by a result of Sunada, is implied by weak conjugacy of subgroups), discuss an illustrative example of lens spaces due to Ikeda, and use the first result to give a spectral characterisation of weak conjugacy.
Evaluation of RRI Institutionalisation Endeavours: Specificities, Drivers, Barriers, and Good Practices Based on a Multi-stakeholder Consultation and Living Lab Experiences
Authors: Szüdi Gábor , Lampert Dietmar , Hajdinjak Marko , Asenova Desislava , Alves Elsa , Bidstrup Maya Vestergaard 
Published: May 2023

AbstractThe aim of this study is to provide research performing organisations and research funding organisations (RPOs and RFOs) with practical advice on how to engage in an effective RRI institutionalisation. Therefore, we first looked at the most relevant drivers, challenges, and the most beneficial good practices potentially affecting RRI institutionalisation within RPOs and RFOs across Europe through a multi-step, multi-stakeholder consultation approach. The broad set of drivers, barriers and good practices identified at the consultation was methodologically divided into structural, cultural and interchange-related aspects. These aspects can theoretically exercise a positive or negative impact on the RRI institutionalisation, and their validity was tested in Living Labs by six organisations. By categorising these six implementers in terms of RRI readiness we were able to identify key factors and describe specific organisational circumstances conducive to a successful adoption and use of RRI principles and practices for three organisational types of RPOs/RFOs.
Logarithmic, fractal and volume-law entanglement in a Kitaev chain with long-range hopping and pairing
Authors: Solfanelli Andrea , Ruffo Stefano , Succi Sauro , Defenu Nicolò 
Published: May 2023

Abstract
Thanks to their prominent collective character, long-range interactions promote information spreading and generate forms of entanglement scaling, which cannot be observed in traditional systems with local interactions. In this work, we study the asymptotic behavior of the entanglement entropy for Kitaev chains with long-range hopping and pairing couplings decaying with a power law of the distance. We provide a fully-fledged analytical and numerical characterization of the asymptotic growth of the ground state entanglement in the large subsystem size limit, finding that the truly non-local nature of the model leads to an extremely rich phenomenology. Most significantly, in the strong long-range regime, we discovered that the system ground state may have a logarithmic, fractal, or volume-law entanglement scaling, depending on the value of the chemical potential and on the strength of the power law decay.