bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regulated 2D Grayscale Image for Finding Power Quality Abnormalities in Actual Data
Authors: Chen Yeong-Chin , Syamsudin M , Berutu S S 
Published: October 2022

Abstract
It is possible to preserve power quality by classifying and identifying abnormalities. Prior studies focused on enhancing the PQD classification performance in one-dimensional (1D) CNNs. Recently, various image conversion methods have been established to facilitate CNN for PQD classification. PQD is a 1D signal that needs to be converted to a 2D image through data pre-processing since 2D images may include more PQD information than 1D signals. However, the PQD data used for the power quality classifier is synthetic PQD produced using mathematical models with parameter modifications in accordance with IEEE Std. 1159, which places limitations on prior research. This study uses data from the Amrita Honeywell Hackathon 2021 to examine how the response-based 2D deep CNN power quality classifier responds to actual field power quality disruptions. The results of the study show that a 2D deep CNN with regulated 2D grayscale pictures based on a process-regulated 2D image matrix can classify real data power quality disturbances with accuracy, precision, recall, and F1-score of 98.80%, 98.99%, and 98.60%, respectively. Additionally, 2D images can potentially contain more PQD data than 1D signals, enhancing identification performance on actual data.
3D Reconstruction Method of Space Target on Optical Images with Wide Baseline via Neural Radiance Field
Authors: Bu Fan , Wang Canyu , Ren Xiaoyuan , Sun Dou , Wang Zhan , Wang Zhuang 
Published: October 2022

Abstract
3D reconstruction of space targets using optical measurement data is an important topic in the field of space surveillance and spacecraft service in orbit. The core of current mainstream 3D reconstruction methods is to establish feature association between optical images. In space-based optical imaging scenes, the texture of target region is missing and the range of view is large, which causes great difficulties in feature extraction and matching of image sequences. Neural radiance field technology does not need to extract explicit features, and its implicit expression of 3D scenes has great potential for solving reconstruction problems in weak texture and broad baseline cases. Therefore, a novel 3D reconstruction method for a sequence of images based on neural radiance field is proposed. The proposed method breaks through the limitation of traditional 3D reconstruction methods which rely on rich texture and narrow baseline image sequences. Simulation experiments show that compared with the existing methods for space target images with weak texture and wide baseline, our method performs better in terms of accuracy and completeness.
Self-Supervised multi-image Super-Resolution Network for Space Image Restoration
Authors: Zhou Junyi , Wang Canyu , Ren Xiaoyuan , Cao Shenyi , Wang Zhuang 
Published: October 2022

Abstract
Space-based space surveillance (SBSS) has the advantage of being flexible and highly interpretable, allowing it to play a strategic role in monitoring space targets. During actual missions, however, bursts of push-frame imaging methods, dynamic noise during observation, large motions and other factors can result in visible degradation, and it isn’t easy to have the corresponding high-resolution (HR) images for the low-resolution (LR) images acquired at the high-speed intersection, which seriously limits the existing multi-image super-resolution (MISR) methods for space-based applications. To overcome these problems, this paper proposes a self-supervised video super-resolution deep learning method that can be trained end-to-end in space-based observations without LR/HR image pairs. We generate extra training pairs using different sizes of sampling factors for LR videos and train the video hyper-resolution network from coarse to fine using a pyramid format. Extensive experiments on the public satellite dataset BUAA-SID-share1.0 show that our approach outperforms traditional video hyper-resolution methods.
Discrimination Correction and Balance for Class-Incremental Learning
Authors: Wang Ruixiang , Luo Yong , Ren Yitao , Mao Keming 
Published: October 2022

Abstract
Catastrophic forgetting is the key role in incremental learning, since the model gains poor quality for old classes than new classes with continuously incoming tasks and less storage. In order to solve the balance between model plasticity and stability, this paper proposes a novel class incremental learning method DCBIL, which adopts discrimination correction and balance to avoid model bias. First, three components Conservative, Balancer and Opener with identical structure are designed. Then, Conservative and Opener have a bias to old and new classes respectively. And Balancer modifies the fully connected layer and replaces the base model for the next training. Moreover, a stochastic perturbation probability synergy is incorporated for final output fusion. Experimental evaluations on Mnist, Cifar-10, Cifar-100 and TinyImageNet demonstrate the effectiveness of DCBIL. DCBIL is portable for it can be used as a plug-in to strengthen the performance of existing incremental learning model.
Comparison of two models for measuring radon exhalation rate with a ventilation chamber by numerical simulation
Authors: Lin F. , Xie R. , Fan Z. , Hu T. , Mo Y. , Liu S. , Yuan S. , Wang L. , Yuan H. , Tang J. , Tan Y. 
Published: October 2022

Abstract
Two models can be used to measure the radon exhalation rate
with a ventilation chamber. The first is the custom model with a
flow meter, and the second is the improved model without flow
meter. As the established radon exhalation standard facilities can't
simulate any medium to be measured by adjusting the radon exhalation
rate and effective decay constants as required, numerical simulation
is useful to compare the two models for measuring radon exhalation
rate under different effective decay constants. Three different
effective decay constants and two different radon exhalation rates
were simulated for measuring radon exhalation rates, and the
simulation results confirmed that the improved model is quick and
accurate even when the radon exhalation rate is very low. While the
custom model can only be used to calculate the radon exhalation
rates when the ventilation rate is far larger than the effective
decay constant, and it takes a long time for the radon concentration
inside the ventilation chamber to be stable. Therefore, the improved
model without flow meter is more accurate to measure the radon
exhalation rate under different effective decay constants.
VIDARR: monitoring reactor anti-neutrinos using a plastic scintillator detector in a mobile laboratory
Authors: Bridges K. , Carroll J. , Coleman J. , Collins R. , Dasari J. , Holt G. , Lockwood M. , Metelko C. , Morgan A. , Murdoch M. , Schnellbach Y. , Tsurin I. , Touramanis C. , Mills R. , Davies G. , Roberts A. 
Published: October 2022

AbstractTechnology developed for the T2K electromagnetic calorimeter has been adapted to make a small footprint, reliable, segmented detector to characterise anti-neutrinos emitted by nuclear reactors. The device has been developed and demonstrated by the University of Liverpool and underwent field tests at the Wylfa Magnox Reactor on Anglesey, U.K. It was situated in a 20 ft ISO shipping container, above ground, roughly 60 m from the 1.5 GWthreactor core. Based on the design of the T2K Near Detector ECal, the device detects anti-neutrino events through the distinctive delayed coincidence signal of inverseβ-decay interactions using extruded plastic scintillator as the target and detection medium and silicon photomultipliers as the photosensors. The detector is undergoing an upgrade to the VIDARR detector system based on the data and experiences of the field trial for easier deployment and better detection sensitivity.
Global fishing between jurisdictions with unequal fisheries management
Authors: Klein Carissa J , Kuempel Caitlin D , Watson Reg A , Teneva Lida , Coll Marta , Mora Camilo 
Published: October 2022

Abstract
The demand for seafood is increasing globally and is being met, in some cases, by unsustainable fishing practices. When a country fishes outside of its jurisdiction, any negative social and environmental impacts associated with fishing are displaced to the fished location and may not be compensated. This is particularly problematic when a country fishes in jurisdictions with poorer, less-effective, fisheries management than itself (henceforth ‘unequal displacement’). Using two different indices for national fisheries management effectiveness, we calculated unequal displacement of wild-capture seafood globally. We found that up to 23% (19.8 Mt) of seafood was unequally displaced annually between 1976–2015, most of which was caught in the high seas. During the period that the management effectiveness data is most accurate (2007–2011), almost all 172 countries unequally displace seafood (n = 123), but a few are responsible for the majority (China, India, Japan, Norway, Russia, Republic of Korea, Spain, Taiwan, Thailand). Achieving both sustainable food provision and ocean health requires improving international fishing and trade policies targeted at these countries to encourage the reduction of unequal seafood displacement.
Revisiting the ENSO–monsoonal rainfall relationship: new insights based on an objective determination of the Asian summer monsoon duration
Authors: Hu Peng , Chen Wen , Wang Lin , Chen Shangfeng , Liu Yuyun , Chen Lingying 
Published: October 2022

Abstract
Traditionally, the boreal summer monsoon season is regarded as a fixed period of June–September (JJAS). In fact, the monsoon commencement and termination are not fixed to the annual cycle, thus the monsoon duration exhibits remarkable variations. Based on the multivariable empirical orthogonal function analysis, the commencement, termination, and duration of the Asian summer monsoon (ASM) are objectively determined in this study. The ASM duration is shown to be closely linked to the sea surface temperature anomalies in the equatorial Pacific Ocean, which tends to be shorter during an El Niño and longer during a La Niña year. Through the anomalous Walker circulation and the equatorial Rossby wave response, a developing La Niña event is generally associated with advanced commencement and delayed termination, thus a longer ASM duration. The importance of monsoon duration is illustrated further by revisiting the relationship between El Niño-southern oscillation (ENSO) and the monsoonal rainfall, which is the total rainfall within monsoon duration (from commencement to termination) rather than within JJAS. The relationship between the JJAS rainfall over South Asia and ENSO has exhibited remarkable interdecadal changes, which becomes weak since the 1980s and is recovered after the early 2000s. In sharp contrast, the linkage between the monsoonal rainfall over South Asia and ENSO remains significant and robust over the past four decades. Via attaching the rainfall during the transition periods (advanced commencement and delayed termination), the longer ASM duration during La Niña shall increase the total rainfall, which can reinforce the canonical ENSO-monsoonal rainfall relationship. The above results suggest that a reasonable definition of ASM duration may help us better understand the monsoon phenomenon and teleconnections.
Free to harmonic unitary transformations in quantum and Koopman dynamics*
Authors: McCaul Gerard , Bondar Denys I 
Published: October 2022

Abstract
In the context of quantum dynamics there exists a coordinate transformation which maps the free particle to the harmonic oscillator. Here we extend this result by reformulating it as a unitary operation followed by a time coordinate transformation. We demonstrate that an equivalent transformation can be performed for classical systems in the context of Koopman–von Neumann dynamics. We further extend this mapping both to dissipative evolutions as well as for a quantum–classical hybrid, and show that this mapping imparts an identical time-dependent scaling on the dissipation parameters for both types of dynamics. The derived classical procedure presents a number of opportunities to import squeezing dependent quantum procedures (such as Hamiltonian amplification) into the classical regime.
Sustainable Development of Smart City Concept Linked to Limited Resources Abroad and in Slovakia
Authors: Šulyová D , Kubina M 
Published: October 2022

Abstract
Population growth in the urban environment generates higher consumption of limited resources. Following the results of our own sociological research, this paper aims to identify issues in the field of Smart City sustainable development and identify the specific limited resource that needs to be managed sustainably in the Smart City concept abroad and in Slovakia. The main findings in Slovakia confirm the occurrence of insufficient awareness, low state aid, limited funding. Within the sample of global Smart Cities involved in the survey, the issue of insufficient funding was identified in particular. Among the limited sources, both foreign and Slovak respondents consider water sources to be of critical importance. The ambition of the research is to improve the understanding of the management of the limited resources in the concept of future Smart Cities in Slovakia and to suggest solutions to the issues as recommendations presented in the Discussion of this paper.
Calculation of electro-osmotic flow development length in a rotating three-dimensional microchannel
Authors: Barimani Manoochehr , Khaki Jamei Mehran , Abbasi Morteza 
Published: October 2022

Abstract
The numerical modeling of an electroosmosis flow in a rectangular three-dimensional rotating microchannel has been studied. The study’s goal is to calculate the flow’s development length, and as a novelty, a correlation is proposed to estimate the development length. The flow was simulated for angular velocity (ω) ranges of 0–9 and electric potential (φ) ranges of 0.1–0.3. The results were imported into the curve fitting toolbox to determine a correlation for the development length. The correlation was obtained as a function of angular velocity, electric potential, and hydraulic diameter. The results show that increasing both ω and φ leads to an increase in flow development length, where for constant φ, increasing ω from 0 to 9 results in a 20%–30% increase in development length. Furthermore, increasing φ from 0.1 to 0.3 for a constant ω raises development length by 35%–50%. The velocity field and its parameters, such as ω and φ, were analyzed and discussed.
Analysis on the buckling performance of embedded co-cured composite sandwich plates under uniaxial compression condition
Authors: Wang Shaoqing , Guo Anfu , Zheng Changsheng , Liang Sen 
Published: October 2022

Abstract
The research aims at exploring the buckling behavior of embedded co-cured composite sandwich structure (ECCSS) under static load. In accordance with the research objective, an analytical model, which is based on the interlayer stress continuous theory to formulate governing differential equations for predicting the critical buckling loads of ECCSS, has been established. The theoretical solution that satisfies the boundary conditions is obtained using the principle of minimum potential energy. The results obtained by ANSYS software have been used to corroborate the correctness of the analytical model. In addition, effects of various structural parameters (such as ply angles and skin-to-core thickness ratio) on buckling behavior of ECCSS have been investigated.
Policy-Oriented Research in Invasion Science: Trends, Status, Gaps, and Lessons
Authors: Pinto Eva M , Vaz A Sofia , Honrado João P , Roy Helen E , Pauchard Anibal , Stoett Peter , Shackleton Ross T , Richardson David M , Vicente Joana R 
Published: October 2022

AbstractInvasive alien species are a major driver of global environmental change. Escalating globalization processes such as international trade and long-distance transport have contributed to an increase in the ecological, economic, and sociocultural impacts of biological invasions. As a result, their management has become an increasingly relevant topic on environmental policy agendas. To better understand the role of policy in invasion science and to identify trends and gaps in policy-oriented research, a systematic literature review was conducted covering 2135 publications. The results highlight that international policy instruments are contributing to an increased interest in pursuing policy-oriented research. Specifically, key historical periods in policy development (e.g., the Convention on Biological Diversity’s COP10 in 2010) coincide with periods of active policy-focused research in invasion science. Research is, however, more applied to local scales (i.e., subnational, and national) and is more focused in places with high research capacity or where severe environmental or economic impacts are well documented.
The Future of Invasion Science Needs Physiology
Authors: Boardman Leigh , Lockwood Julie L , Angilletta Michael J , Krause Jesse S , Lau Jennifer A , Loik Michael E , Simberloff Daniel , Thawley Christopher J , Meyerson Laura A 
Published: October 2022

AbstractIncorporating physiology into models of population dynamics will improve our understanding of how and why invasions succeed and cause ecological impacts, whereas others fail or remain innocuous. Targeting both organismal physiologists and invasion scientists, we detail how physiological processes affect every invasion stage, for both plants and animals, and how physiological data can be better used for studying the spatial dynamics and ecological effects of invasive species. We suggest six steps to quantify the physiological functions related to demography of nonnative species: justifying physiological traits of interest, determining ecologically appropriate time frames, identifying relevant abiotic variables, designing experimental treatments that capture covariation between abiotic variables, measuring physiological responses to these abiotic variables, and fitting statistical models to the data. We also provide brief guidance on approaches to modeling invasions. Finally, we emphasize the benefits of integrating research between communities of physiologists and invasion scientists.
Association of Upper Gastrointestinal Surgery of Great Britain and Ireland (AUGIS)/Perioperative Quality Initiative (POQI) consensus statement on intraoperative and postoperative interventions to reduce pulmonary complications after oesophagectomy
Authors: Singh Pritam , Gossage James , Markar Sheraz , Pucher Philip H , Wickham Alex , Weblin Jonathan , Chidambaram Swathikan , Bull Alexander , Pickering Oliver , Mythen Monty , Maynard Nick , Grocott Mike , Underwood Tim ,   AUGIS/POQI Pulmonary Consensus Group, Mythen M , Maynard N , Grocott M , Underwood T , Pickering O , Singh P , Markar S , Levett D , Alan C , Tewari N , Noble F , Moorthy K , Oliver M , Chidambaram S , Wickham A , Gossage J , Pucher P , Bull A , Sultan J , Huddy F , Davies S , Weblin J , West M 
Published: October 2022

Abstract

Background
Pulmonary complications are the most common morbidity after oesophagectomy, contributing to mortality and prolonged postoperative recovery, and have a negative impact on health-related quality of life. A variety of single or bundled interventions in the perioperative setting have been developed to reduce the incidence of pulmonary complications. Significant variation in practice exists across the UK. The aim of this modified Delphi consensus was to deliver clear evidence-based consensus recommendations regarding intraoperative and postoperative care that may reduce pulmonary complications after oesophagectomy.

Methods
With input from a multidisciplinary group of 23 experts in the perioperative management of patients undergoing surgery for oesophageal cancer, a modified Delphi method was employed. Following an initial systematic review of relevant literature, a range of anaesthetic, surgical, and postoperative care interventions were identified. These were then discussed during a two-part virtual conference. Recommendation statements were drafted, refined, and agreed by all attendees. The level of evidence supporting each statement was considered.

Results
Consensus was reached on 12 statements on topics including operative approach, pyloric drainage strategies, intraoperative fluid and ventilation strategies, perioperative analgesia, postoperative feeding plans, and physiotherapy interventions. Seven additional questions concerning the perioperative management of patients undergoing oesophagectomy were highlighted to guide future research.

Conclusion
Clear consensus recommendations regarding intraoperative and postoperative interventions that may reduce pulmonary complications after oesophagectomy are presented.
Benchmarking of minimally invasive distal pancreatectomy with splenectomy: European multicentre study
Authors: Giani Alessandro , van Ramshorst Tess , Mazzola Michele , Bassi Claudio , Esposito Alessandro , de Pastena Matteo , Edwin Bjørn , Sahakyan Mushegh , Kleive Dyre , Jah Asif , van Laarhoven Stijn , Boggi Ugo , Kauffman Emanuele Federico , Casadei Riccardo , Ricci Claudio , Dokmak Safi , Ftériche Fadhel Samir , White Steven A , Kamarajah Sivesh K , Butturini Giovanni , Frigerio Isabella , Zerbi Alessandro , Capretti Giovanni , Pando Elizabeth , Sutcliffe Robert P , Marudanayagam Ravi , Fusai Giuseppe Kito , Fabre Jean Michel , Björnsson Bergthor , Timmermann Lea , Soonawalla Zahir , Burdio Fernando , Keck Tobias , Hackert Thilo , Groot Koerkamp Bas , d’Hondt Mathieu , Coratti Andrea , Pessaux Patrick , Pietrabissa Andrea , Al-Sarireh Bilal , Marino Marco V , Molenaar Quintus , Yip Vincent , Besselink Marc , Ferrari Giovanni , Hilal Mohammad Abu ,   for the European Consortium on Minimally Invasive Pancreatic Surgery (E-MIPS)
Published: October 2022

Abstract

Background
Benchmarking is the process to used assess the best achievable results and compare outcomes with that standard. This study aimed to assess best achievable outcomes in minimally invasive distal pancreatectomy with splenectomy (MIDPS).

Methods
This retrospective study included consecutive patients undergoing MIDPS for any indication, between 2003 and 2019, in 31 European centres. Benchmarks of the main clinical outcomes were calculated according to the Achievable Benchmark of Care (ABC™) method. After identifying independent risk factors for severe morbidity and conversion, risk-adjusted ABCs were calculated for each subgroup of patients at risk.

Results
A total of 1595 patients were included. The ABC was 2.5 per cent for conversion and 8.4 per cent for severe morbidity. ABC values were 160 min for duration of operation time, 8.3 per cent for POPF, 1.8 per cent for reoperation, and 0 per cent for mortality. Multivariable analysis showed that conversion was associated with male sex (OR 1.48), BMI exceeding 30 kg/m2 (OR 2.42), multivisceral resection (OR 3.04), and laparoscopy (OR 2.24). Increased risk of severe morbidity was associated with ASA fitness grade above II (OR 1.60), multivisceral resection (OR 1.88), and robotic approach (OR 1.87).

Conclusion
The benchmark values obtained using the ABC method represent optimal outcomes from best achievable care, including low complication rates and zero mortality. These benchmarks should be used to set standards to improve patient outcomes.