bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Collaborative Planning Method for the Electricity-gas Storage Regional Integrated Energy System
Authors: Yang Yang , Wei Mengju , Liu Zhao , Wang Yongli , Cui Changtao , Qin Yumeng , Zhou Xiangyi 
Published: May 2022

Abstract
In order to fully play the role of electricity and gas storage in the regional integrated energy system, a common planning method for regional integrated storage of electricity and natural gas is proposed. On this basis, mathematical models of energy storage, gas storage, electricity grid, gas grid topology and p2g were created to minimize the costs of expanding energy storage. Finally, based on current project data in Zhejiang Province, the economic benefits of joint planning of the electricity and gas storage system are examined, and the results show that an electric gas storage system can reduce system pressure and optimize equipment selection.
Performance Analysis of Unmanned Aerial Vehicle Assisted Fiber-based Visible Light Communication System
Authors: Yu Lisu , Liu Chaoliang , Qian Jiajia , Wang Yuhao , Wang Zhenghai 
Published: May 2022

Abstract
Employing unmanned aerial vehicle (UAV) in fiber-based visible light communication (FVLC) can not only enhance the flexibility of visible light communication, but also provide users with sufficient lighting conditions. In the downlink UAV-assisted FVLC (UFVLC) system based on power domain non-orthogonal multiple access (PD-NOMA), the outdoor weak-turbulence channel environment is considered in this paper, where the UAV is set as a communication relay. We have analysed the distribution function of received signal and system noise in the actual environment, derived the calculation formulas of noise and signal-to-noise ratio (SNR). The theoretical bit error rate (BER) expression of the UFVLC system is derived by analysing the influence of UAV and receiver position. Moreover, numerical results demonstrate that the theoretical analysis is consistent with the simulation results, especially in the case of high SNR.
State assessment of 750kV electric energy metering device based on grey theory and fuzzy analytic hierarchy process
Authors: Wang Kun 
Published: May 2022

Abstract
It is necessary to evaluate the operation state of 750kV electric energy metering device to predict stop loss. On the basis of previous studies, the state indexes and evaluation methods of electric energy metering devices are improved: the quantitative state indexes are described by nonlinear mathematical scoring model, the qualitative state indexes are clustered by grey theory, and the state weight of each index is determined based on the improved analytic hierarchy process, Finally, the state evaluation results are obtained with the help of weighted average model and fuzzy mathematics theory. The improved state evaluation strategy is more perfect and practical, and realizes the all-round supervision of the operation state of the electric energy metering device.
Research and Design of Scalable Advanced Application Based on Dual-Core Smart Meter
Authors: Guo Xinglin , Zhang Bensong , Fan Xiaofei , Pan Shenchen , Wu Haowen 
Published: May 2022

Abstract
The dual-core smart meter based on the embedded operating system adopts a new software and hardware architecture design, and is equipped with software and hardware resources suitable for scalable advanced applications, which can support application software to form a unified large-scale market. Based on the software and hardware platform of the dual-core smart meter, this paper designs and implements application management functions suitable for advanced applications, and the design realizes advanced functions such as load identification and contract power purchase. It verifies the powerful software and hardware platform expansion capabilities of the dual-core smart meter. It has laid a certain technical foundation for supporting the construction of next generation of smart meter application ecological market.
Limiting effects in drive bunch beam dynamics in beam-driven accelerators: instability and collective effects
Authors: Simakov E.I. , Andonian G. , Baturin S.S. , Manwani P. 
Published: May 2022

Abstract
In a collinear beam-driven wakefield accelerator, a bunch of
charged particles is accelerated by a strong electric field that is
generated in a medium by a preceding high-charge drive
bunch. Multiple beam-driven acceleration concepts have been proposed
and demonstrated in proof-of-principle experiments. In some
concepts, the medium is plasma where very strong electric fields are
created due to the motion of ions and electrons with respect to each
other. In other configurations, the medium is a slow-wave
electromagnetic structure made of dielectric and/or metal, and high
gradients are achieved due to the very short duration of the
electromagnetic pulse excited in the structure by the drive
bunch. Because of the high charge, and consequently long length of
the drive bunch, wakefields excited by the leading particles of the
drive bunch affect the trailing particles in the same bunch and
result in beam-driven instabilities obstructing the drive bunch's
stable propagation and extended interactions with the witness bunch,
ultimately terminating the energy transfer process. This paper
presents an overview of the drive-bunch beam dynamics in beam-driven
structure- and plasma-based accelerators with a focus on beam
instabilities that limit stable propagation of the drive bunch, such
as the beam break-up instability and transverse defocusing and
deflection in cases of cylindrical and planar structures and plasma
waveguides. Possible mitigation techniques are discussed.
Extraction method to ensure the uniqueness of scale-free region in surface fractal PSD equation
Authors: Li Hongju , Liu Ying , Wang Yuechang , Liao Haoran 
Published: May 2022

Abstract
Scale-free region is a specific frequency region only in which the fractal characteristics for surface topography exists. The uniqueness in fractal characterization exists in theory; however, by incorporating the conventional methods, various scale-free regions can be obtained for the same surface profile, resulting in the non-uniqueness of fractal characterization and reconstruction. Therefore, this paper aims to solve the non-uniqueness problem of the scale-free region. Firstly, the origins of such non-uniqueness are revealed, including random components introduced by manual selection under single-scale and information distortion affected by measuring frequency under multi-scales. Then, a filtering method based on an equal PSD amplitude Weierstrass-Mandelbrot function is proposed to extract the length and particular fractal components of the scale-free region. The proposed method is verified by acquiring the unique scale-free region length

l

0

and calculating the unique fractal dimension D with the extracted fractal components. Additionally, measurement influences are discussed, including measuring frequency and length. Further application on surfaces with different grinding processes and roughness levels is also conducted to test the practicability of the method. In summary, the necessary conditions for measuring the scale-free region are revealed. On this basis, obtaining method for the scale-free region is proposed.
A review on properties of magnesium-based alloys for biomedical applications
Authors: Rout Pradipta Kumar , Roy Sudesna , Ganguly Sourav , Rathore Dinesh Kumar 
Published: May 2022

Abstract
With changing lifestyles, the demand for bone implantation has been increasing day by day. The deficiency of nutritious elements within the human body results in certain diseases like osteoporosis, rickets, and other skeletal disorders; lack of physical activities; and the increasing number of accidents are the primary reasons for bone damage/fracture. Metallic implants made up of chrome steel, cobalt-based alloys, and titanium-based alloys are being majorly used worldwide owing to their high strength and high corrosion resistance which makes them permanent orthopedic bioimplant materials, however, they display a stress-shielding effect and it also requires an implant removal surgery. Thus, these problems can be addressed through the employment of biodegradable materials. Among the available biodegradable metallic materials, Mg alloys have been identified as a prospective orthopedic implant material. These alloys are biodegradable as well as biocompatible, however, they experience a relatively higher rate of degradation limiting their usability as implant material. This study attempts to comprehensively assess the effects of various alloying elements such as Ca, Zn, Sn, Mn, Sr and Rare earth elements (REEs) on the mechanical and degradation behavior (both in vivo and in vitro) of Mg alloys. Since the microstructure, mechanical properties and degradation response of the Mg alloys are dependent on the processing route, hence detailed processing- property database of different Mg alloys is provided in this paper.
Impacts of laser pulse width and target thickness on laser micro-propulsion performance
Authors: WANG Sibo , DU Bangdeng , DU Baosheng , ZHENG Yongzan , HONG Yanji , YE Jifei , XING Baoyu , LI Chenglin , ZHANG Yonghao 
Published: May 2022

Abstract
In order to optimize the laser ablation performance of a micro-thruster with 1U dimensions, which employs a micro semiconductor laser, the impacts of pulse width and glycidyl azide polymer (GAP) thickness on thrust performance were researched. The results showed that with a GAP thickness of 200 μm, the single-pulse impulse (I) increased gradually with the increase in the laser pulse width from 50 to 800 μs, while the specific impulse (I
sp), impulse coupling coefficient (C
m) and ablation efficiency (η) all reached optimal values with a 200 μs pulse width. It is worth noting that the optimal pulse width is identical to the ignition delay time. Both C
m and η peaked with a pulse width of 200 μs, reaching 242.22 μN W−1 and 35.4%, respectively. With the increase in GAP thickness, I and C
m increased gradually. GAP of different thicknesses corresponded to different optimal laser pulse widths. Under a certain laser pulse width, the optimal GAP thickness should be the most vertical thickness of the ablation pit, and the various propulsion performance parameters at this time were also optimal. With the current laser parameters, the optimal GAP thickness was approximately 150 μm, I
sp was approximately 322.22 s, and η was approximately 34.94%.
Sufentanil Sublingual Tablet Reduces Postoperative Opioid Use Following Outpatient Plastic Surgery
Authors: Seify Hisham 
Published: May 2022

Abstract

Background
The emphasis on better pain control with less narcotic use represents an ongoing challenge for outpatient plastic surgery procedures. Intravenous (IV) bolus opioids during surgery can lead to short-term relief, but often repeat dosing is required in the postanesthesia care unit (PACU), prolonging recovery time. The sufentanil sublingual tablet (SST) has recently shown efficacy in reducing overall opioid use and postsurgical recovery time for outpatient general surgery procedures.

Objectives
To examine the effect of SST on PACU opioid use, adverse events, and recovery time compared with traditional IV opioid drug regimens in patients undergoing aesthetic surgical procedures.

Methods
A retrospective chart review was performed on SST patients (n = 61) receiving a single 30 mcg SST 30 minutes before surgery (for short procedures) or 45 minutes before surgical extubation (longer procedures). A control group (n = 32) underwent similar surgical procedures utilizing standard IV opioid treatment without SST.

Results
Control and study groups were of similar age and sex. Procedure duration (approximately 3 hours) and intraoperative opioid administration were similar in both groups, with 92% of patients receiving SST before extubation due to the length of the case. Almost all control patients (90.6%) required rescue opioids during recovery in the PACU compared with a few SST patients (16.4%; P &lt; 0.001), averaging 5-fold higher dosing in the control group. Recovery duration did not differ between groups as factors other than pain management and adverse events affected discharge.

Conclusions
SST substantially reduced opioid administration in the PACU for patients undergoing outpatient plastic surgery procedures.

Level of Evidence: 3
deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes
Authors: Pesaranghader Ahmad , Matwin Stan , Sokolova Marina , Grenier Jean-Christophe , Beiko Robert G , Hussin Julie 
Published: May 2022

AbstractMotivationThere is a plethora of measures to evaluate functional similarity (FS) of genes based on their co-expression, protein–protein interactions and sequence similarity. These measures are typically derived from hand-engineered and application-specific metrics to quantify the degree of shared information between two genes using their Gene Ontology (GO) annotations.ResultsWe introduce deepSimDEF, a deep learning method to automatically learn FS estimation of gene pairs given a set of genes and their GO annotations. deepSimDEF’s key novelty is its ability to learn low-dimensional embedding vector representations of GO terms and gene products and then calculate FS using these learned vectors. We show that deepSimDEF can predict the FS of new genes using their annotations: it outperformed all other FS measures by &gt;5–10% on yeast and human reference datasets on protein–protein interactions, gene co-expression and sequence homology tasks. Thus, deepSimDEF offers a powerful and adaptable deep neural architecture that can benefit a wide range of problems in genomics and proteomics, and its architecture is flexible enough to support its extension to any organism.Availability and implementationSource code and data are available at https://github.com/ahmadpgh/deepSimDEFSupplementary informationSupplementary data are available at Bioinformatics online.
Comparison of two T-cell assays to evaluate T-cell responses to SARS-CoV-2 following vaccination in naïve and convalescent healthcare workers
Authors: Phillips Eloise , Adele Sandra , Malone Tom , Deeks Alexandra , Stafford Lizzie , Dobson Susan L , Amini Ali , Skelly Donal , Eyre David , Jeffery Katie , Conlon Christopher P , Dold Christina , Otter Ashley , D’Arcangelo Silvia , Turtle Lance ,   PITCH Consortium, Barnes Eleanor , Chalk Jeremy , Dunachie Susanna , Duncan Christopher , Klenerman Paul , Matthews Philippa , Payne Rebecca , Richter Alex , de Silva Thushan , Rowland-Jones Sarah , Turtle Lance , Wootton Dan , Klenerman Paul , Barnes Eleanor , Dunachie Susanna J 
Published: May 2022

Abstract
T-cell responses to SARS-CoV-2 following infection and vaccination are less characterized than antibody responses, due to a more complex experimental pathway. We measured T-cell responses in 108 healthcare workers (HCWs) using the commercialized Oxford Immunotec T-SPOT Discovery SARS-CoV-2 assay service (OI T-SPOT) and the PITCH ELISpot protocol established for academic research settings. Both assays detected T-cell responses to SARS-CoV-2 spike, membrane, and nucleocapsid proteins. Responses were significantly lower when reported by OI T-SPOT than by PITCH ELISpot. Four weeks after two doses of either Pfizer/BioNTech BNT162b or ChAdOx1 nCoV-19 AZD1222 vaccine, the responder rate was 63% for OI T-SPOT Panels 1 + 2 (peptides representing SARS-CoV-2 spike protein excluding regions present in seasonal coronaviruses), 69% for OI T-SPOT Panel 14 (peptides representing the entire SARS-CoV-2 spike), and 94% for the PITCH ELISpot total spike. The two OI T-SPOT panels correlated strongly with each other showing that either readout quantifies spike-specific T-cell responses, although the correlation between the OI T-SPOT panels and the PITCH ELISpot total spike was moderate. The standardization, relative scalability, and longer interval between blood acquisition and processing are advantages of the commercial OI T-SPOT assay. However, the OI T-SPOT assay measures T-cell responses at a significantly lower magnitude compared to the PITCH ELISpot assay, detecting T-cell responses in a lower proportion of vaccinees. This has implications for the reporting of low-level T-cell responses that may be observed in patient populations and for the assessment of T-cell durability after vaccination.
Working memory and reward increase the accuracy of animal location encoding in the medial prefrontal cortex
Authors: Ma Xiaoyu , Zheng Charles , Chen Yenho , Pereira Francisco , Li Zheng 
Published: May 2022

AbstractThe ability to perceive spatial environments and locate oneself during navigation is crucial for the survival of animals. Mounting evidence suggests a role of the medial prefrontal cortex (mPFC) in spatially related behaviors. However, the properties of mPFC spatial encoding and how it is influenced by animal behavior are poorly defined. Here, we train the mice to perform 3 tasks differing in working memory and reward-seeking: a delayed non-match to place (DNMTP) task, a passive alternation (PA) task, and a free-running task. Single-unit recording in the mPFC shows that although individual mPFC neurons exhibit spatially selective firing, they do not reliably represent the animal location. The population activity of mPFC neurons predicts the animal location. Notably, the population coding of animal locations by the mPFC is modulated by animal behavior in that the coding accuracy is higher in tasks involved in working memory and reward-seeking. This study reveals an approach whereby the mPFC encodes spatial positions and the behavioral variables affecting it.
Efficacy of left atrial posterior wall isolation guided by lesion size prediction module for non-paroxysmal atrial fibrillation
Authors: Murata Kazuya , Takahashi Yoshihide , Inaba Osamu , Nitta Junichi , Kobori Atsushi , Sakamoto Yuichiro , Nagata Yasutoshi , Tanimoto Kojiro , Matsuo Seiichiro , Yamane Teiichi , Morita Norishige , Satomi Kazuhiro , Sato Hiroyuki , Hanazawa Ryoichi , Hirakawa Akihiro , Goya Masahiko , Sasano Tetsuo 
Published: May 2022

Abstract

Aims
The efficacy of left atrial posterior wall isolation (PWI) is controversial. Lesion durability may be a major cause of arrhythmia recurrence. The use of the lesion size prediction module improves lesion durability. This study aimed to compare the clinical outcomes of pulmonary vein isolation (PVI) alone and PWI in addition to PVI (PVI + PWI) in patients with non-paroxysmal atrial fibrillation (AF) using a lesion size prediction module.

Methods and results
This study is a sub-analysis of the recently published prospective multicentre observational study called ALCOHOL-AF (association of alcohol consumption with outcome of catheter ablation of AF). In this sub-analysis, patients with non-paroxysmal AF in whom PVI alone or PVI + PWI was performed using the lesion size prediction module were included. Freedom from atrial tachyarrhythmia was compared between PVI alone and PVI + PWI groups using propensity score analyses. Of the 3474 patients registered in the ALCOHOL-AF study, 572 patients (age 65.6 ± 10.1 years, male 77.4%, longstanding persistent AF 25.5%) were included in this sub-analysis. We selected 212 patients treated with PVI alone and 212 treated with PVI + PWI using one-to-one propensity score matching. During the follow-up period, atrial tachyarrhythmia recurrence was documented in 92 (43.4%) and 50 (23.6%) patients in the PVI alone and PVI + PWI groups, respectively. Freedom from atrial tachyarrhythmia recurrence without anti-arrhythmic drugs after a single procedure was significantly higher in PVI + PWI than in PVI alone groups (hazard ratio: 0.452, 95% confidence interval: 0.308–0.664, P &lt; 0.001).

Conclusion
In this hypothesis-generating study, lesion size prediction module-guided PVI + PWI was associated with better clinical outcomes than PVI alone in patients with persistent or longstanding persistent AF.
Modern inversion workflow of the multimodal surface wave dispersion curves: staging strategy and Pattern search with embedded Kuhn–Munkres algorithm
Authors: Yan Yingwei , Chen Xiaofei , Huai Nan , Guan Jianbo 
Published: May 2022

SUMMARY
The dispersive information of the higher surface wave modes is beneficial for improving the resolution of the inverted S-wave velocity structure, increasing the penetration depth and enhancing the robustness of the inversion. The recently proposed frequency-Bessel (F-J) transformation can achieve the relatively stable measurement of the higher-mode surface waves. However, sometimes the phenomena of the mode losses and aliases would appear in the dispersion energy image of the seismic records, which may lead to the mode misidentification. And the wrong mode identification is likely to cause the negative impacts on the dispersion inversion and geological interpretation about the survey site. In view of this, we recommend a staging strategy for the inversion of multimodal surface wave dispersion curves. The pattern search (PS) is used to invert the reliable segment of the fundamental-mode surface wave phase velocities for the first stage. For the second stage, the inverted result of the first stage is set as the initial model, the PS with embedded Kuhn–Munkres (PSEKM) algorithm is adopted for inverting the observed phase velocities of all modes. And for each frequency, a weighted bipartite graph is established between the observed values with no-explicitly specified-mode-order (NESMO) and predicted values of the model m during the inversion, then the maximum match is determined by the KM algorithm for calculating the minimum distance between the observed and predicted data sets. The mode-order information of the observed phase velocities with NESMO would be dynamically evaluated for each model m occurred in the inversion process. The synthetic reconstruction tests have confirmed the effectiveness of the novel workflow. Also, the performance of the preconditioned steepest-descent algorithm of local optimization methods and influence of the mode misidentification on the inversion result are also clarified in the synthesis tests. The comparison results show that the proposed workflow can realize the nice data fitting and model reconstruction without the time-consuming manual mode-identification for the higher-mode surface waves. Then, the new workflow is applied to the analysis of the actual surface wave data sets collected on two roadbeds, which is still satisfactory. Finally, we discuss the role of the staging strategy of the workflow.
The French Law on Bioethics and its Limitations: Challenges for the Future from a Comparative Perspective
Authors: Giovannini Giulia 
Published: May 2022

Abstract
On 4 August 2021 LOI n° 2021-1017 du 2 août 2021 relative à la bioéthique, a French law on bioethics, came into force. Among the most noteworthy legislative developments are: access to reproductive treatments for all women regardless of sexual orientation; the incorporation of a new way of determining legal parenthood with respect to pregnant women’s female partners via acknowledgment, and the abolition of donor anonymity. With this reform, the French legal system has aligned itself with many others in Europe with respect to reproductive rights and the right of children conceived by these means to know their biological origins. However, there are also a number of controversial issues that French lawmakers decided not to address, and this article aims to comment on these. Some of the reflections here are comparative and refer especially to (i) the possibility of post-mortem fertilization; (ii) access to certain techniques such as the ROPA method, and finally (iii) transgender persons’ potential access to reproductive techniques. The conclusions are that all these aspects should have been included in the legislative reform.