bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fuzzy energy management strategy for hybrid electric vehicles on battery state-of-charge estimation by particle filter
Authors: Feng Na , Ma Tiehua , Chen Changxin 
Published: September 2022

AbstractThe battery/ultracapacitor hybrid power supply system can solve the problems of high cost and short life of a single power system, and the energy management of hybrid power system has become a vital issue in the field of electric vehicles. In this paper, a fuzzy energy management strategy on the state-of-charge (SOC) estimation of power battery is proposed. Particle filter (PF) algorithm is used to estimate SOC of power battery, then estimated result is regarded as the input variable of fuzzy energy management controller, and the energy distribution result is obtained after fuzzy logic operation. The simulation results show that the SOC estimation result of the PF algorithm is closer to the actual value of power battery SOC. When the SOC estimation result of PF is embedded into the fuzzy controller for joint simulation, it is found that the charge and discharge current, and SOC consumption of the power battery are reduced, which shows the algorithm’s effectiveness. It also provides a specific reference value for the further study of the power supply control strategy of hybrid electric vehicles.
Efficient one-dimensional turbomachinery design method based on transfer learning and Bayesian optimization
Authors: Chen Junfeng , Liu Changxing 
Published: September 2022

AbstractAerodynamic optimization is a powerful approach used in turbomachinery design to shorten design cycles and reduce manual intervention. The design task is to find the optimal design variables with optimal efficiency. However, most design optimization algorithms must start from scratch for each new design task because they cannot reuse previous design experience, in contrast to human experts, who can identify a near-optimal solution based on prior design experience. To address this issue, this paper proposes a transfer optimization learning method for one-dimensional (1D) turbine aerodynamic design. It can transfer the knowledge from the samples accumulated from past design optimizations (source tasks) to accelerate the target design optimization (target task). For each task, a Gaussian process-based surrogate model is established. These models are combined by a probability weighting strategy to build an ensemble model that achieves knowledge transfer. The method is validated on a 1D design case of a single-stage turbine. The results show that, compared with other state-of-the-art optimization algorithms that do not use prior design experience, the proposed method can reduce the computational cost by more than 30% while maintaining the same aerodynamic performance. This paper demonstrates an efficient transfer optimization method for the high-nonlinear 1D turbine design problem.
An extended gate field-effect transistor (EG-FET) type non-enzymatic glucose sensor with inkjet-printed copper oxide nanoparticles
Authors: Shibata Kohei , Nakamura Atsushi 
Published: September 2022

Abstract
We develop a disposable and cost-effective non-enzymatic glucose sensor consisting of an extended gate field effect transistor (EG-FET) to obtain effortless operation. The sensor is fabricated by printing, gold (Au) precursor ink and copper oxide nanoparticles (CuO NPs) inks using a commercial inkjet printer on a flexible Polyimide (PI) substrate. First, sensing properties are tested electrochemically. The sensor shows a sensitivity of 728.5 μA cm−2 mM−1 and a detection limit of 0.01 mM with a correlation coefficient (R) of 0.998. The observed linear dynamic range is from 0.5 to 7 mM. After that, the sensing electrode is adapted to the EG-FET. Two linear response ranges extend from 0.1 to 4 mM of a low concentration range of glucose with a sensitivity of 1295 μA cm−2 mM−1, and from 5 to 30 mM of a high concentration range of glucose with a sensitivity of 164 μA cm−2 mM−1 are observed. The EG-FET approach can enhance the detection sensitivities using amplification for a low concentration glucose range and extending a detection range for high concentration glucose. The presented work demonstrates that simply printed CuO NPs sensors can be used at low cost for disposable wide-range glucose detection devices.

Article Highlights

A non-enzymatic printed glucose sensor using an inkjet printer has been successfully developed.

CuO nanoparticles ink is printed on thin gold electrodes on Polyimide film.

We evaluate the glucose detection of extended-gate field-effect transistor (EG-FET) sensors.

The sensitivity is estimated to be 1295 μA cm−2 mM−1.

The EG-FET structure has the merit of a simple operation and cost-effective personal health care devices.
Bayesian Markov Chain Monte Carlo inversion of surface-based transient electromagnetic data
Authors: Deng Shengqiang , Zhang Nuoya , Kuang Bo , Li Yaohua , Sun Huaifeng 
Published: September 2022

AbstractConventional linearized deterministic inversions of transient electromagnetic (TEM) data inherently simplify the non-uniqueness and ill-posed nature of the problem. While Monte-Carlo-type approaches allow for a comprehensive search of the solution space, gaining the ensemble of inferred solutions as comprehensive as possible may be limited utility in high-dimensional problems. To overcome these limitations, we utilize a Markov Chain Monte Carlo (MCMC) inversion approach for surface-based TEM data, which incorporates Bayesian concepts into Monte-Carlo-type global search strategies and can infer the posterior distribution of the models satisfying the observed data. The proposed methodology is first tested on synthetic data for a range of canonical earth models and then applied to a pertinent field dataset. The results are consistent with those obtained by standard linearized inversion approaches, but, as opposed to the latter, allow us to estimate the associated non-linear, non-Gaussian uncertainty.
Flexural performance of reinforced HS-HVFA-SCC beam with spliced plain bar
Authors: Kristiawan Stefanus A. , Rohman Rosyid Kholilur , Ferdyan Ecky F. 
Published: September 2022

Abstract
This research presents the use of flexural performance criteria for determining the required spliced length of tensile plain bar embedded in unconfined high strength-high volume fly ash-self compacting concrete (HS-HVFA-SCC) beam. Subsequently, the obtained splice length is compared with the splice length database of other concrete types. For the purpose of the investigation, five beams are designed with various spliced bars within the pure bending area. In addition, a beam with continuous bar is prepared as a reference beam. The beams are tested by a four-point loading scheme. The results show that splice lengths within a 342–570 mm (34.2db–57db) range provide sufficient development of strength in the reinforcements to sustain a higher flexural load than the reference beam. However, in term of stiffness and ductility, only beams with a splice length of at least 380 mm (38db) are superior compared to the reference beam. Based on the above consideration, the minimum splice length of tensile plain reinforcement for the investigated beams is 380 mm (38db). Comparison of the result with other concrete types suggests that the required splice length of tensile plain bar embedded in HS-HVFA-SCC follows the equations for estimating splice length of general concrete and self-compacting concrete (SCC) even though the equations are derived for deformed bars. This finding implies that an efficient splice length in HS-HVFA-SCC beam can be expected.

Article Highlights

HS-HVFA-SCC beam with a lap-spliced plain bar of 38db gives an equal flexural performance to the beam with continuous bar.

The required splice length of plain bar in HS-HVFA-SCC beam is comparable to that of deformed bar in other concrete types.

An expected efficiency of splice length can encourage the use of HS-HVFA-SCC for a variety of structural applications.
Study on coordination development schemes of mining and dumping engineering in steeper anticline region of an open-pit coal mine with nearly flat coal seam
Authors: Zhao Jingchang , Wang Xiangbo , Wang Dong , Liu Guangwei , Cao Bo 
Published: September 2022

Abstract
Abstract
In this study, we present the coordination development schemes of mining and dumping engineering in steeper anticline region of an open-pit coal mine with nearly flat coal seam. Steeper anticlines in an open-pit coal mine with a nearly flat coal seam lead to drastic changes in local geological features and have many adverse effects on safe, economical, and efficient production. Based on an impact analysis of the anticline on the production quantity and quality of coal, release and utilization of the internal dumping space, layout of the haulage system and so on, the key technical solutions related to mining and dumping engineering coordination development in the steeper anticline region are discussed. Subsequently, taking the Antaibao Open-pit Coal Mine as a case study, based on the geological features of the steeper anticline region, two mining and dumping engineering coordination development schemes, the northern priority development scheme and the pseudo-longitudinal mining scheme, are proposed. Key technical parameters including the length and preceding distance of the priority development working-line, preceding distance and the horizontal advancing speed of the mining working line are determined. To compare the two proposed schemes in detail, the mining and dumping coordination development plans of the two proposed schemes during mining over the steeper anticline region are worked out, and some technical indices are computed. Using the six selected key indices, a multi-index comprehensive evaluation model based on CRITIC-TOPSIS is established to evaluate the two schemes. The evaluation results show that the northern priority development scheme is better than the pseudo-longitudinal mining scheme.

Article Highlights

The impact of steeper anticline on production of open-pit coal mine with nearly flat coal seam is analyzed, including: production quantity and quality of coal, release and utilization of internal dumping space, transportation distance and cost, etc.

According to the geological features of the anticline region, solutions for the technical issues are proposed, such as coal exposure, working-line layout and development, internal dump construction and development, haulage system layout, and the selective mining of coal.

Taking the Antaibao Open-pit Coal Mine as a case study, two mining and dumping engineering coordination development schemes are proposed. With the six selected key indices of the mining and dumping coordination development plans of the two proposed schemes during mining over the steeper anticline region, a multi-index comprehensive evaluation model of CRITIC-TOPSIS is established to evaluate the two proposed mining and dumping engineering coordination development schemes.
Mechanical behavior and microstructure evolution during high strain rate deformation of AA7075-T651
Authors: Dalai Biswajit , Moretti Marie Anna , Åkerström Paul , Esin Vladimir A. , Lindgren Lars-Erik 
Published: September 2022

AbstractThe current study presents the effects of strain and temperature on the mechanical response and microstructure evolution in AA7075-T651 at high strain rates. Compression tests have been performed at room temperature (RT), 200, 300 and 400 °C using a Split-Hopkinson pressure bar (SHPB) setup with strain rates ranging between 1400 and 5300 s−1. For deformation at RT, the flow stress increases with increase in strain rate. Whereas deformation at elevated temperatures show a non-monotonous behavior of the flow stress with respect to the strain rate. This trait is attributed to the pronounced effects from the adiabatic shear bands (ASBs); namely, distorted shear bands (DSBs) and transformed shear bands (TSBs); and cracks resulting from the plastic deformation instability during hot deformation. The sequence of microstructure evolution is: inhomogeneity in the initial microstructure – DSB – TSB – crack –fracture. The feasibility of formation and growth of ASBs and cracks increases with increase in strain and temperature, neglecting any significant effect from the strain rate. During the compression tests, temperature of the material rises due to adiabatic heating. Considering a certain strain developed in the material, this adiabatic temperature rise decreases as the deformation temperature is increased. Furthermore, during individual deformation processes, the temperature rise increases with increasing strain. The adiabatic temperature leading to the formation of TSB is approximated to be 0.7 times of the melting temperature of the alloy. These results from the current study are to be used in developing a physics-based material model for the alloy.Article Highlights

At elevated temperatures, compression with Split-Hopkinson bars produce two types of shear bands and cracks.

Evolution of shear bands and cracks is promoted by increase in strain and temperature irrespective of strain rate.

Adiabatic temperature approximating to 70% of the melting point forms refined grain structure of transformed band.
Male Nudity in the Greek Iron Age
Authors: Murray Sarah 
Published: September 2022

Why did the male nude come to occupy such an important place in ancient Greek culture? Despite extended debate, the answer to this question remains obscure. In this book, Sarah Murray demonstrates that evidence from the Early Iron Age Aegean has much to add to the discussion. Her research shows that aesthetics and practices involving male nudity in the Aegean had a complicated origin in prehistory. Murray offers a close analysis of the earliest male nudes from the late Bronze and Early Iron Ages, which mostly take the form of small bronze votive figurines deposited in rural sanctuaries. Datable to the end of the second millennium BCE, these figurines, she argues, enlighten the ritual and material contexts in which nude athletics originated, complicating the rationalizing accounts present in the earliest textual evidence for such practices. Murray's book breaks new ground by reconstructing a scenario for the ritual and ideological origins of nudity in Greek art and culture.
Exploring issues in categorisation of higher music education courses through FOI surveys of gender demographics in UK higher education institutions
Authors: Tatlow Stephen 
Published: September 2022

AbstractA common conclusion drawn from publicly available Higher Education Statistics Agency (HESA) data releases is that Higher Music Education (HME) courses have a predominantly male population. However, HESA data has key issues when examining HME courses: which courses are reported as ‘music’ courses to HESA; how do universities decide which courses are ‘music’ courses; how many different topics are contained within the umbrella of ‘music’ courses? To address questions of gender representation in HME, universities in the UK were approached with Freedom of Information Act requests for the gender demographics of student populations on “music-related” courses. Information was gained on 3456 courses populations between 2014 and 2020, which was categorised by the subject of study. Six core undergraduate topics were identified: generic music degrees (female bias), degrees combining music and technology (male bias), degrees combining music and business (no gender bias), degrees on popular music (male bias), degrees combining music and theatre (female bias) and major conservatoire courses (no gender bias). No area was accurately represented by HESA data, and gender representation varied significantly between areas. These findings have implications for discussions of gender representation in HME across the UK.
Uniqueness of the Gibbs measure for the 4-state anti-ferromagnetic Potts model on the regular tree
Authors: de Boer David , Buys Pjotr , Regts Guus 
Published: September 2022

AbstractWe show that the
$4$
-state anti-ferromagnetic Potts model with interaction parameter
$w\in (0,1)$
on the infinite
$(d+1)$
-regular tree has a unique Gibbs measure if
$w\geq 1-\dfrac{4}{d+1_{_{\;}}}$
for all
$d\geq 4$
. This is tight since it is known that there are multiple Gibbs measures when
$0\leq w\lt 1-\dfrac{4}{d+1}$
and
$d\geq 4$
. We moreover give a new proof of the uniqueness of the Gibbs measure for the
$3$
-state Potts model on the
$(d+1)$
-regular tree for
$w\geq 1-\dfrac{3}{d+1}$
when
$d\geq 3$
and for
$w\in (0,1)$
when
$d=2$
.
Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents
Authors: Verma Kanishk , Popović Maja , Poulis Alexandros , Cherkasova Yelena , Ó hÓbáin Cathal , Mazzone Angela , Milosevic Tijana , Davis Brian 
Published: September 2022

AbstractCyberbullying is the wilful and repeated infliction of harm on an individual using the Internet and digital technologies. Similar to face-to-face bullying, cyberbullying can be captured formally using the Routine Activities Model (RAM) whereby the potential victim and bully are brought into proximity of one another via the interaction on online social networking (OSN) platforms. Although the impact of the COVID-19 (SARS-CoV-2) restrictions on the online presence of minors has yet to be fully grasped, studies have reported that 44% of pre-adolescents have encountered more cyberbullying incidents during the COVID-19 lockdown. Transparency reports shared by OSN companies indicate an increased take-downs of cyberbullying-related comments, posts or content by artificially intelligen moderation tools. However, in order to efficiently and effectively detect or identify whether a social media post or comment qualifies as cyberbullying, there are a number factors based on the RAM, which must be taken into account, which includes the identification of cyberbullying roles and forms. This demands the acquisition of large amounts of fine-grained annotated data which is costly and ethically challenging to produce. In addition where fine-grained datasets do exist they may be unavailable in the target language. Manual translation is costly and expensive, however, state-of-the-art neural machine translation offers a workaround. This study presents a first of its kind experiment in leveraging machine translation to automatically translate a unique pre-adolescent cyberbullying gold standard dataset in Italian with fine-grained annotations into English for training and testing a native binary classifier for pre-adolescent cyberbullying. In addition to contributing high-quality English reference translation of the source gold standard, our experiments indicate that the performance of our target binary classifier when trained on machine-translated English output is on par with the source (Italian) classifier.
On the Reliability of Global Seasonal Forecasts: Sensitivity to Ensemble Size, Hindcast Length and Region Definition
Authors: Manzanas R. , Torralba V. , Lledó Ll. , Bretonnière P. A. 
Published: September 2022

AbstractOne of the key quality aspects in a probabilistic prediction is its reliability. However, this property is difficult to estimate in the case of seasonal forecasts due to the limited size of most of the hindcasts that are available nowadays. To shed light on this issue, this work presents a detailed analysis of how the ensemble size, the hindcast length and the number of points pooled together within a particular region affect the resulting reliability estimates. To do so, we build on 42 land reference regions recently defined for the IPCC‐AR6 and assess the reliability of global seasonal forecasts of temperature and precipitation from the European Center for Medium Weather Forecasts SEAS5 prediction system, which is compared against its predecessor, System4. Our results indicate that whereas longer hindcasts and larger ensembles lead to increased reliability estimates, the number of points that are pooled together within a homogeneous climate region is much less relevant.
Characteristic Analysis of Relationship Between Precipitation and Turbulence in the Troposphere and Lower Stratosphere Over Tropical Western Pacific
Authors: Qin Z. , Sheng Z. , He Y. , Zhao X. , Tian T. 
Published: September 2022

AbstractThis study aims to analyze the distribution characteristics of turbulence in the western Pacific tropical region and determine the correlation between turbulence and precipitation. The obtained results show that due to the combined action of large wind shear and thermal convection, the near‐surface layer is conducive to the generation of large‐scale turbulence, and the maximum Thorpe scale can reach more than 600 m. A strong mixing zone of turbulence is generated in 10–16 km, with the monthly average occurrence rate of turbulence being about 40% and the maximum value reaching 50%. There is less turbulence in lower stratosphere due to the rapidly increased atmosphere static stability. All Thorpe scales in stratosphere are less than 100 m. The response of turbulence to precipitation in the upper troposphere is strongly affected by clouds. At the altitude in the clouds, the enhancement of precipitation has a negative relationship with turbulence. The average value of and turbulence layer thickness on rainy days are both smaller than those when the precipitation weakened. At the altitude above the clouds, the enhancement of precipitation has a slight promotion effect on the turbulence, especially for the emergence of large‐scale turbulence. When the precipitation intensifies, the amount of turbulence with greater than 150 m accounts for 6.7% of the total, while the proportion is only 2.6% on less rainy days.
Teleconnection Patterns of Different El Niño Types Revealed by Climate Network Curvature
Authors: Strnad Felix M. , Schlör Jakob , Fröhlich Christian , Goswami Bedartha 
Published: September 2022

AbstractThe diversity of El Niño events is commonly described by two distinct flavors, the Eastern Pacific (EP) and Central Pacific (CP) type. While the remote impacts, that is, teleconnections, of EP and CP events have been studied for different regions individually, a global picture of their structure is still lacking. Here, we use Forman‐Ricci curvature applied on climate networks constructed from surface air temperature data to distinguish regional links from teleconnections. Our results confirm that both El Niño types influence the teleconnection patterns, however, with different spatial manifestations. Our analysis suggests that EP El Niños alter the general circulation which changes the teleconnection structure to primarily tropical teleconnections. In contrast, the teleconnection pattern of CP El Niños show only subtle changes to normal conditions. Moreover, this work identifies the dynamics of the Eastern Pacific as a proxy for the remote impact of both El Niño types.
Drifter Observations Reveal Intense Vertical Velocity in a Surface Ocean Front
Authors: Tarry Daniel R. , Ruiz Simón , Johnston T. M. Shaun , Poulain Pierre‐Marie , Özgökmen Tamay , Centurioni Luca R. , Berta Maristella , Esposito Giovanni , Farrar J. Thomas , Mahadevan Amala , Pascual Ananda 
Published: September 2022

AbstractMeasuring vertical motions represent a challenge as they are typically 3–4 orders of magnitude smaller than the horizontal velocities. Here, we show that surface vertical velocities are intensified at submesoscales and are dominated by high frequency variability. We use drifter observations to calculate divergence and vertical velocities in the upper 15 m of the water column at two different horizontal scales. The drifters, deployed at the edge of a mesoscale eddy in the Alboran Sea, show an area of strong convergence ((f)) associated with vertical velocities of −100 m day−1. This study shows that a multilayered‐drifter array can be an effective tool for estimating vertical velocity near the ocean surface.