bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of critical nodes for the Integrated Energy Systems based on complex networks and unified energy flows
Authors: Song Jinxi , Wang Yi , Hu Rui , Xu Gang , Ma Shuang 
Published: July 2022

Abstract
As the scale of the Integrated Energy System network continues to expand and the coupling and conversion of multiple energy flows deepens, the system becomes more complex and vulnerable, which poses new challenges to the stability of the system structure and the safety of its operation. Identifying the key nodes of the Integrated Energy System is the key to improve the stability and security of the system. In order to comprehensively analyze the node attributes in the integrated energy network, complex network theory and unified energy flow theory are applied to the static topology and dynamic operation state analysis of the Integrated Energy System, and the key node identification method of the Integrated Energy System is proposed from the attributes of node location information, global information and the impact on nodes during operation. Finally, simulation experiments are conducted with a typical Integrated Energy System to verify the effectiveness and superiority of the identification method proposed in this paper.
Remaining useful life prediction of Lithium-ion battery using improved support vector regression and fuzzy information granulation
Authors: Li Zuxin , Chen Jia , Gao Kaidi , Zhang Fengying , Xu Jingyun 
Published: July 2022

Abstract
With the widespread use of lithium-ion batteries in various fields, battery Prognostics and Health Management (PHM) technologies are gaining more and more attention. Repeated use of batteries can lead to degradation of battery performance and thus affect battery life. Accurate prediction of the remaining useful life (RUL) of batteries is crucial and is the most central issue in battery PHM. In this paper, a method based on a combination of fuzzy information granulation (FIG) and support vector regression with artificial bee colony optimization (ABC-SVR) is proposed to estimate the RUL of Lithium-ion batteries. First, the capacity degradation data are divided into several windows using the FIG method. Second, the maximum and minimum values of each window are predicted separately using the ABC-SVR algorithm to obtain the information of the prediction window. Finally, the missing values of the prediction windows are complemented by the linear interpolation method to obtain the complete capacity prediction values, and the remaining useful life of the battery can be calculated according to the failure threshold. The results show that the proposed method obtains the RUL value with high accuracy.
Review of load modelling and scheduling strategy for orderly charging of electric vehicles
Authors: Huang Jiangzhe , Zhou Bin 
Published: July 2022

Abstract
With the vigorous promotion of electric vehicles, the burden brought by the irregular charging of large-scale loads to the power grid is becoming increasingly prominent. Therefore, it is necessary to study the orderly charging strategy of electric vehicles. This paper briefly describes the advantages of orderly charging of electric vehicles, introduces several types of calculation methods of charging loads, summarizes different scheduling strategies and their advantages and disadvantages, and finally puts forward some suggestions for further research.
Review on control systems and control strategies for excavators
Authors: Liu Weiwei , Luo Xuan , Zhang Jingwen , Niu Dongdong , Deng Jianyang , Sun Weiqi , Kang Jie 
Published: July 2022

Abstract
The product performance of excavators continuously improves with industrial development. However, unsighted improvements in the performance of excavators cannot meet the emission standards. Therefore, considerable research on energy conservation, high efficiency, and accurate control strategy should be conducted. At present, power matching research is performed because of the inconvenience of energy transmission. The technical advantages of hybrid power provide a better research direction for the energy-saving research of excavators. Intelligent control algorithms, such as sliding mode control and time-delay control, are added to the control system to improve the trajectory accuracy in excavator trajectory control. The intelligent operation of excavators reduces the requirements of the operating environment and improves operation economy in remote, complex, and dangerous operation spaces. The research statuses of excavators in power matching, hybrid control, trajectory control, and intelligent autonomous operation are reviewed. Finally, six conclusions about the current research status are drawn.
A transmitting circuit with adaptive calibration of output impedance for high speed interface
Authors: Liu Dong , Tong Xingyuan , Lv Xinwei 
Published: July 2022

Abstract
A transmitting circuit for high-speed interface is proposed in this paper. Optimized 10-bit parallel to serial conversion and embedded output impedance calibration are used for enhancing the performance of this transmitting circuit. Designed with 0.18 μm CMOS, this transmitting circuit can achieve an output data rate of 1.5625 Gbps with 10-bit 156.25 MHz parallel input. The output amplitude of the current mode logic (CML) driver is 1.28 Vpp with a jitter of 24.3 ps. After adaptive calibration, the mismatch between output impedance and its expected value is within 0.5%. The active area of this entire transmitting circuit is 220.1 μm × 197.5 μm. With 1.8 V power supply, the power consumption of this transmitting circuit is 41.2 mW at 1.5625 Gbps data rate.
Design and Simulation Analysis of the Folding DPF for Agricultural Diesel
Authors: Guo Shihao , Wen Xiang , Dou Lizhuang , Kou Guiyue , Mu Mingfei 
Published: July 2022

Abstract
According to the demand of diesel particulate filter (DPF) for agricultural machinery diesel, a folding DPF was designed by using metal fiber felt as filter element material. The flow characteristics in the designed DPF are simulated by CFD software Fluent, to optimize the structural parameters of the folding DPF. The results show that the pressure drop increases obviously when the ratio of filter element height to inlet height greater than 2; When keeping the filtering area unchanged, the pressure drops of odd filter layers 5, 7 are smaller than that of even filter layers 4, 6, 8, which can be reduced up to 14%; Increasing the length of the filter element helps to make the velocity distribution more uniform along the radial direction at the rear end of the DPF.
Monolithic pixel sensor with 25 µm × 35 µm pixel size and high time resolution implemented in 180 nm technology
Authors: Zhang H. , Peric I. 
Published: July 2022

Abstract
A monolithic pixel sensor with small collection electrode and partially depleted sensor diode named HVMAPS25 has been implemented in the 180 nm technology of TSI semiconductors. The pixel size is 25 µm × 35 µm. The pixel electronics contains a fast and low power charge sensitive amplifier, a comparator, a threshold tuning DAC and a digital block that measures the arrival time of the hit with 10 bit resolution and the signal amplitude (time over threshold) with 6 bit resolution. A deep p-well has been used for isolation of the pixel electronics from the sensor substrate. The building blocks of the chip, simulations and the measurement results will be presented.
Techno-Economic Feasibility Analysis of Solar PV- Wind Grid-connected Hybrid Energy systems for Electrification in Sultanate of Oman
Authors: Gopinath Arun , Kalyankumar B. , Al Quri Khalifa 
Published: July 2022

Abstract
Sultanate of Oman’s power sector is undergoing a rapid restructuring to involve renewable energy sources as part of the generation system. The present power sector majorly depends on the a-renewable energy source, natural gas for its power generation. CeA central grid system connecting all the provinces of Oman involving renewable and non-renewable energy sources in power generation is initiated and is gaining acceleration. Hybridization and its optimization of energy resources at different locations based on geographical factors, cost of electricity production, greenhouse gas emission, and initial and operating costs involved in the generation is still a major concern for the development of a central grid system. In this paper, the development of an optimal hybrid system for the load profile of the University of Technology and Applied Sciences – Shinas (UTAS- Shinas) is done. The initial study was done to develop load profile data of UTAS- Shinas. The annual Peak demand of the University is 720 kW. Various hybrid and standalone combinations involving renewable and non-renewable options are simulated and analysed with a hybridization software tool, HOMER Pro. Solar PV and wind are the major renewable energy resources, found to have ambient potential in Oman. When a renewable energy system is there in the hybrid system design, a non-renewable energy source can be added as a backup generation system to improve its system reliability. Optimization of the hybrid combinations is required as the cost of electricity generation will be expensive, if a wrong combination is selected. Out of the different hybrid combinations selected, PV- Wind – Natural gas-based hybrid system was found to be the most beneficial system for UTAS- Shinas, after considering Renewable energy fraction of 61.6 % power, which can penetrate to the system, the Net Present Cost (NPC), Cost of Energy (COE), Payback period and Greenhouse gas (GHG) emission control as the constraints for the optimization procedure. The practical implementation is done on campus by taking a sample load and illustrating the project with power sources PV of 3.5kW, wind energy conversion of 1.5kW, and grid connection from Majan Electricity Company with an auto change over the facility.
Design and Model Identification of a Power Kite Wind Energy System
Authors: Mihoub M , Al-Hatmi H 
Published: July 2022

Abstract
Power kite energy systems use power kites attached to the ground by tethers that transfer the wind mechanical power to ground electrical generators. In order to remain in the air, the power kite should fly continuously in “lying” eight form trajectories. One key to the optimal operation of this system is automatic control of the kite flight, requiring a reliable real-time position measurement and advanced closed-loop control of the position and speed of the kite during its flight. The basis of a good controller is the identification and modelling of the dynamic system. This is the purpose of the current work. A power kite system prototype is built and identified on the basis of input-output data. Validation of the obtained model is also provided.
The presence of microplastics in fishes of South Maldives
Authors: Shiyana Fathimath , Buyong Faeiza , Shareef Abdulla , Fazlina Nazrah Hirzin Radin Siti , Ismail Asmida 
Published: July 2022

Abstract
Plastic pollution has been a widespread global challenge with negative impacts on human health, environment and economies. Recently its effect on the environment and marine life has been of immense interest. This study aimed to investigate the presence of microplastics in the gut, gill and flesh of Selar Crumenophthalmus and Decapterus Macarellus from two different locations in South Maldives. A total of 56 fishes were examined from the two species and a total of 200 possible microplastic pieces were identified by visual analysis. It was found that 80% of Selar Crumenophthalmus contained micro and macroplastics, whereas these were detected in 76.2% of Decapterus Macarellus. The average abundance of microplastics in fishes was 3.3 ± 4.6 items/individual and in both species, the abundance of microplastics was highest in the gills compared to other body parts with an average abundance of 1.4 ± 2.1 items/individual. The ingested plastics mainly consisted of fragments (57.5%), fibres (41.5%) and films (1%). The particles which were identified from the analysed samples predominantly included blue (36.90%), grey (30.48%), black (17.11%) and red (9.09%) colours. The ingested plastics were found to be polyethylene (PE) and polypropylene (PP), which were determined with the use of Fourier Transform Infrared (FT-IR) Spectroscopy.
Effect of sputtering power and substrate temperature on structural, optical, wettability and anti-icing characteristics of aluminium doped zinc oxide
Authors: Patel Nicky P , Chauhan Kamlesh V 
Published: July 2022

Abstract
Thin films of ZnO:Al were synthesized on glass substrates by RF magnetron sputtering. Structural, optical, wettability and anti-icing properties of the thin films are studied as a function of substrate temperature and sputtering power. XRD patterns showed an increase in the intensity of (002) peak when the sputtering power and substrate temperature are increased. The roughness and average grain size also increased with an increment in substrate temperature and sputtering power. Transmittance and band gap energy observed in the wavelength range of 350–800 showed the average transmittance was in the range of 90 to 76% and 3.12–2.88 eV. The contact angle and anti-icing properties observed during the investigation demonstrated that the synthesized coatings are hydrophobic and the formation of ice was delayed when compared to uncoated substrates.
Influence of the rf power and oxygen content on structural, electrical, and optical properties of V2O5 thin films prepared via reactive radio frequency sputtering
Authors: Khlayboonme S Tipawan , Thedsakhulwong Amorn 
Published: July 2022

Abstract
Herein, V2O5 thin films were deposited through O2-reactive radio frequency (RF) magnetron sputtering using a metallic vanadium arget without external heating on a glass substrate. The influence of the RF power and O2 content on phase formation was investigated, and the percentage of the phase volume was related to the electrical and optical properties of the films. These films were composed of a mixture of α and β phases of V2O5, and the coexistence of monoclinic (βм) and tetragonal (βт) symmetries of the β-phase structure was observed. The phase of the film deposited at 100 W RF power with 10% O2 was βт. Increasing the RF power to 150 W led to the development of the βм phase in the film. At 200 W, the obtained film was a mixture of βм- and α-V2O5 phases, and the film produced with an O2 content of more than 10% was a mixture of three phases: βт-, βм-, and α-V2O5. Further increase in the O2 content decreased the βм-phase volume but increased the βт-phase volume. The electrical resistivity and optical properties depended on the phase volume. Furthermore, the relationship between the phase volume and film properties is presented.
Phylogeography supports lineage divergence for an endemic rattlesnake (Crotalus ravus) of the Neotropical montane forest in the Trans-Mexican Volcanic Belt
Authors: Cisneros-Bernal Antonio Yolocalli , Rodríguez-Gómez Flor , Flores-Villela Oscar , Fujita Matthew K , Velasco Julián A , Fernández Jesús A 
Published: July 2022

Abstract
The formation of the Trans-Mexican Volcanic Belt (TMVB) and Pleistocene climatic fluctuations have been shown to influence the diversification of lineages and species distributed throughout central Mexico. In some taxa, however, evidence of lineage diversification is not easily recognized, as often is the case in reptiles. Here we present a phylogeographic study on a Mexican endemic rattlesnake species (Crotalus ravus), with the aim of understanding how distinct lineages are distributed across the TMVB. Genetic (mtDNA) and genomic (ddRADseq) data were generated from samples across the species’ range to evaluate phylogeographic structure, estimate phylogenetic relationships and divergence times, and perform environmental niche modeling (ENM). Both datasets recover strong phylogeographic structuring of two distinct lineages on an east-west axis, with an estimated Pleistocene divergence (~1.47 Myr). The ENM suggest that the distribution of the two lineages experienced expansion and reduction events throughout recent evolutionary time. We attribute the diversification of C. ravus lineages to geological events associated with the formation of the TMVB, as well as Quaternary climate changes, both of which have been previously recognized in co-distributed taxa in the TMVB. This work emphasizes the existence of cryptic diversification processes in a morphologically conserved species distributed in a region of complex climatic and orogenic heterogeneity.
Toward global integration of biodiversity big data: a harmonized metabarcode data generation module for terrestrial arthropods
Authors: Arribas Paula , Andújar Carmelo , Bohmann Kristine , deWaard Jeremy R , Economo Evan P , Elbrecht Vasco , Geisen Stefan , Goberna Marta , Krehenwinkel Henrik , Novotny Vojtech , Zinger Lucie , Creedy Thomas J , Meramveliotakis Emmanouil , Noguerales Víctor , Overcast Isaac , Morlon Hélène , Papadopoulou Anna , Vogler Alfried P , Emerson Brent C 
Published: July 2022

Abstract
Metazoan metabarcoding is emerging as an essential strategy for inventorying biodiversity, with diverse projects currently generating massive quantities of community-level data. The potential for integrating across such data sets offers new opportunities to better understand biodiversity and how it might respond to global change. However, large-scale syntheses may be compromised if metabarcoding workflows differ from each other. There are ongoing efforts to improve standardization for the reporting of inventory data. However, harmonization at the stage of generating metabarcode data has yet to be addressed. A modular framework for harmonized data generation offers a pathway to navigate the complex structure of terrestrial metazoan biodiversity. Here, through our collective expertise as practitioners, method developers, and researchers leading metabarcoding initiatives to inventory terrestrial biodiversity, we seek to initiate a harmonized framework for metabarcode data generation, with a terrestrial arthropod module. We develop an initial set of submodules covering the 5 main steps of metabarcode data generation: (i) sample acquisition; (ii) sample processing; (iii) DNA extraction; (iv) polymerase chain reaction amplification, library preparation, and sequencing; and (v) DNA sequence and metadata deposition, providing a backbone for a terrestrial arthropod module. To achieve this, we (i) identified key points for harmonization, (ii) reviewed the current state of the art, and (iii) distilled existing knowledge within submodules, thus promoting best practice by providing guidelines and recommendations to reduce the universe of methodological options. We advocate the adoption and further development of the terrestrial arthropod module. We further encourage the development of modules for other biodiversity fractions as an essential step toward large-scale biodiversity synthesis through harmonization.
Not between the Devil and the Deep Blue Sea: Singapore's Hedging
Authors: Chang Jun Yan 
Published: July 2022

AbstractHedging is typically understood as a middle path straddling balancing/bandwagoning, the military/economic, and United States/China. This conventional understanding of hedging confuses risk and threat. It also makes the hedging concept non-falsifiable and thus analytically dubious, while further reinforcing a false dialectic of other states in the Asia-Pacific as caught between the United States and China. This article proposes to restore the centrality of risk and autonomy back to the concept of hedging. It contends that hedging is a risk management strategy that emphasizes autonomy—to retain control, reduce uncertainty, and remain secure—preventing the costs of alignment by signaling ambiguity in the military, political, and economic sectors. This hedging concept is subsequently applied to a case study of Singapore, demonstrating that the island state is the quintessential hedger. In so doing, this article develops a falsifiable concept of hedging that enables such a strategy to be explicitly identified, and importantly, returns agency back to the other states amid intensifying Sino-US competition.
Looking in a mirror, laparoscopic gastric sleeve in situs inversus patient: a case report
Authors: Paipilla Omar A , Molina Gabriel A , Zavalza Juan F , Gil Miriam , Montero Maria L , Fuster Richard , Hernandez Maria E , Diaz Marisela A 
Published: July 2022

Abstract
Laparoscopic sleeve gastrectomy has been widely accepted and adopted as a weight loss procedure for obesity. Although technically demanding, it is feasible and can improve patients’ overall health. However, any variation from normal anatomy can be challenging for any surgery, especially bariatric surgery, where a mistake could mean going from a life-saving opportunity to costing the patient’s life. We present the case of an obese patient who sought medical attention and decided on bariatric surgery. During her preoperative evaluation, situs inversus totalis was discovered. After careful planning, the surgical team completed the surgery without complications, and the patient recovered completely.
Cyclic Framed Little Disks Algebras, Grothendieck–Verdier Duality And Handlebody Group Representations
Authors: Müller Lukas , Woike Lukas 
Published: July 2022

AbstractWe characterize cyclic algebras over the associative and the framed little 2-disks operad in any symmetric monoidal bicategory. The cyclicity is appropriately treated in a coherent way, that is up to coherent isomorphism. When the symmetric monoidal bicategory is specified to be a certain symmetric monoidal bicategory of linear categories subject to finiteness conditions, we prove that cyclic associative and cyclic framed little 2-disks algebras, respectively, are equivalent to pivotal Grothendieck–Verdier categories and ribbon Grothendieck–Verdier categories, a type of category that was introduced by Boyarchenko–Drinfeld based on Barr’s notion of a $\star$-autonomous category. We use these results and Costello’s modular envelope construction to obtain two applications to quantum topology: I) We extract a consistent system of handlebody group representations from any ribbon Grothendieck–Verdier category inside a certain symmetric monoidal bicategory of linear categories and show that this generalizes the handlebody part of Lyubashenko’s mapping class group representations. II) We establish a Grothendieck–Verdier duality for the category extracted from a modular functor by evaluation on the circle (without any assumption on semisimplicity), thereby generalizing results of Tillmann and Bakalov–Kirillov.
IIIMiddle English
Authors: Ash-Irisarri Kate , Atkinson Laurie , Black Daisy , Brazil Sarah , Calder Natalie , Finn Andrew , Greene Darragh , Lazikani Ayoush , Menmuir Rebecca , Ronan Mark , Sargan J D , Strickland Seth 
Published: July 2022

AbstractThis chapter has thirteen sections: 1. Early Middle English; 2. Theory; 3. Manuscript and Technical Studies; 4. Religious Writing; 5. Secular Prose; 6. Secular Verse; 7. Piers Plowman; 8. Gower; 9. Older Scots; 10. Drama; 11. Sir Gawain and the Green Knight, Pearl, Patience, and Cleanness; 12. Romance: Metrical, Alliterative, Prose. 13. Hoccleve and Lydgate. Section 1 is by Ayoush Lazikani; section 2 is by Andrew Finn; section 3 is by J.D. Sargan; section 4 is by Natalie Calder; section 5 is by Mark Ronan; section 6 is by Darragh Greene; section 7 is by Seth Strickland; section 8 is by Laurie Atkinson; section 9 is by Kate Ash-Irisarri; section 10 is by Daisy Black and Sarah Brazil; sections 11 and 12 are by Darragh Greene; section 13 is by Rebecca Menmuir.Due to delays caused by the Covid-19 pandemic, a number of publications from 2019 are covered instead in this year’s volume.