bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low-Frequency Defense Strategy for Wind Turbine Participating in Power Grid Frequency Adjustment
Authors: Feng Yuexin , Ye Peng , Yin Yuanke , Hu Shubo , Ma Xintong , Fu Rao 
Published: August 2023

Abstract
With the continuous increase of wind power permeability, the dynamic behavior of the power system also changes, which also has a great impact on the setting of the low-frequency load-shedding scheme. The original low-frequency load-shedding scheme has no good adaptability to the system of high-permeability wind power. So, this article analyzes the principles of wind turbines in power grid frequency control. This paper expounds on the principle of low-frequency load-shedding strategy in the power system configuration. Connecting with the actual operation of the grid simulation, simulation results show that wind turbines in power grid frequency modulation can significantly reduce the low-frequency load shedding process of loads and wind power in frequency modulation of low-frequency with a positive impact.
Big data-based method for automatic localization of power quality disturbance signal of PV access distribution network
Authors: Tang Zhen , Han Jing , Wang ShiJian , Ding Li , Zhu YiChao 
Published: August 2023

Abstract
At present, the conventional automatic localization method of the power quality disturbance signal of the distribution network mainly extracts the feature vector of the disturbance signal. It constructs the target localization function, which leads to poor localization accuracy because the noise part of the disturbance signal is ignored. In this regard, the automatic localization method of PV access power quality disturbance signal based on big data is proposed. By using the wavelet decomposition algorithm, the noise part of the power quality disturbance signal is removed, and the measurement matrix and reconstruction function are combined with compressing and reconstructing the disturbance signal. Finally, the automatic positioning of the disturbance signal is achieved by extracting the characteristics of the disturbance signal data and clustering analysis processing. In the experiment, the designed signal localization method is tested for the localization effect. The results can prove that when the proposed method is used to automatically localize the disturbed signal, the localization results are consistent with the spatial feature distribution of the signal and have a more desirable automatic localization effect.
Analysis of the Very Fast Transient Overvoltage in a Nuclear Plant 500kV GIL-GIS System
Authors: Yin Hong , Li Chunbo , Zhang Linkang , Liu Shourui , Ma Qing , Wang Qihang 
Published: August 2023

Abstract
The simulation models of the 500kV gas-insulated transmission lines (GIL) and gas-insulated substation (GIS) systems in a realistic nuclear plant are presented in the paper. The Very Fast Transient Overvoltage (VFTO) which is generated during switching operations, is analyzed. Some affecting factors on the level of the VFTO are investigated. These factors are the location of the power source, the entrance capacitance of the potential transformer (PT), and the capacitive voltage transformer (CVT). At last, some suggestions on overvoltage calculations or calculations of electromagnetic interference sources are proposed. The conclusions can be used in insulation designing and analyzing the electromagnetic interference on the secondary system in nuclear plants and substations.
Automatic fault location method for power communication network based on a machine learning algorithm
Authors: Li Guoqiang , Ren Chunlei , Chen Zhefu 
Published: August 2023

Abstract
The current conventional automatic fault location method of power communication network mainly realizes the identification of faulty branches by calculating node power parameters, which leads to poor location effects due to the lack of effective analysis of fault signal data. In this regard, the automatic fault location method of the store head communication network based on a machine learning algorithm is proposed. Firstly, the fault signal data are collected and pre-processed, specifically including data cleaning and data format conversion, and then the individual fault signal is used as the basis to differentiate the weight parameters of different abnormal degrees and combine with the state threshold to realize the judgment of the fault node interval location. In the experiments, the fault location performance of the proposed method is verified. The experimental results show that when the proposed method is used for fault location, the relative positioning error value of the method is small and has a high fault location accuracy.
Sequentially suspended 3D bioprinting of multiple-layered vascular models with tunable geometries for in vitro modeling of arterial disorders initiation
Authors: Pan Chen , Xu Jingwen , Gao Qiqi , Li Wei , Sun Tao , Lu Jiping , Shi Qing , Han Yafeng , Gao Ge , Li Jinhua 
Published: August 2023

Abstract
As the main precursor of arterial disorders, endothelial dysfunction preferentially occurs in regions of arteries prone to generating turbulent flow, particularly in branched regions of vasculatures. Although various diseased models have been engineered to investigate arterial pathology, producing a multiple-layered vascular model with branched geometries that can recapitulate the critical physiological environments of human arteries, such as intercellular communications and local turbulent flows, remains challenging. This study develops a sequentially suspended three-dimensional bioprinting (SSB) strategy and a visible-light-curable decellularized extracellular matrix bioink (abbreviated as ‘VCD bioink’) to construct a biomimetic human arterial model with tunable geometries. The engineered multiple-layered arterial models with compartmentalized vascular cells can exhibit physiological functionality and pathological performance under defined physiological flows specified by computational fluid dynamics simulation. Using different configurations of the vascular models, we investigated the independent and synergetic effects of cellular crosstalk and abnormal hemodynamics on the initiation of endothelial dysfunction, a hallmark event of arterial disorder. The results suggest that the arterial model constructed using the SSB strategy and VCD bioinks has promise in establishing diagnostic/analytic platforms for understanding the pathophysiology of human arterial disorders and relevant abnormalities, such as atherosclerosis, aneurysms, and ischemic diseases.
Enhancement of electron magnetic susceptibility due to many-body interactions in monolayer MoSe2
Authors: Oreszczuk K , Rodek A , Goryca M , Kazimierczuk T , Raczyński M , Howarth J , Taniguchi T , Watanabe K , Potemski M , Kossacki P 
Published: August 2023

Abstract
Employing the original, all-optical method, we quantify the magnetic susceptibility of a two-dimensional electron gas (2DEG) confined in the MoSe2 monolayer in the range of low and moderate carrier densities. The impact of electron–electron interactions on the 2DEG magnetic susceptibility is found to be particularly strong in the limit of, studied in detail, low carrier densities. Following the existing models, we derive the value of

g
0

=
2.5
±
0.4

for the bare (in the absence of the interaction effects) g-factor of the ground state electronic band in the MoSe2 monolayer. The derived value of this parameter is discussed in the context of estimations from other experimental approaches. Surprisingly, the conclusions drawn differ from theoretical ab initio studies.
Impact of increased subway station density on air quality in the Yangtze River Delta
Authors: Ye Xiaohui , Sato Masayuki 
Published: August 2023

Abstract
This study uses empirical methods to explore the relationship between subway system development and air quality in the Yangtze River Delta. We propose a new variable to measure subway development, ‘subway station density value,’ which can more accurately describe subway development than the traditional ‘line opening’ variable. It eliminates the effects of differences in subway line length, layout, and size of the local subway system. Using this variable, we find that subway development has a significant positive impact on air quality improvement; that is, an increase in the density of subway stations is significantly associated with improved air quality. This finding provides a scientific basis for the relevant authorities to formulate the development and layout of public transport facilities. It strongly responds to previous debates on the relationship between subways and air quality. In addition, we find that urban population size, economic development level, and subway system size play moderating roles in the relationship between subways and air quality. Increasing the availability of subways can significantly improve the air quality in cities with high population sizes and economic development levels. However, as the size of a subway system increases, its effect on air quality improvement may weaken, suggesting that the development of subway systems should not be unthinkingly expanded either. Although our study has valuable findings, we must discuss several limitations further. These include restrictions in the selection of the study population, data availability, and potentially oversimplified criteria for considering the impact of urban differences. Overall, this study not only provides new theoretical and empirical perspectives for understanding and explaining how subway development affects air quality but also indicates the direction for further exploration in future studies.
Climate change emergence over people’s lifetimes
Authors: King Andrew D , Douglas Hunter , Harrington Luke J , Hawkins Ed , Borowiak Alexander R 
Published: August 2023

Abstract
The emergence of climate change from background variability is a useful metric for identifying changes in local climate which may affect people and ecosystems. Studies have found that equatorial regions, which are typically poorer, experience clearer climate change emergence over the observational record and in model projections. Here, we perform the first analysis of people’s experienced climate change relative to background variability, and we examine where people have already lived through an emergence of local warming. We calculate signal-to-noise (S/N) ratios and combine these with demographic data to compute local emergence of warming over human lifetimes. Younger people have typically experienced less clear emergence of a climate change signal over their lifetimes to date. Over a given time period, tropical, lower-income areas have experienced higher S/N than extratropical and typically higher-income areas. However, this is counter-balanced by the younger populations of these areas such that the median experienced S/N ratio is similar between the wealthiest and poorest parts of the world. Given projected ageing of low-income regions, it is imperative that substantial climate action is taken to avoid local climates becoming unrecognizable within human lifetimes.
Caenorhabditis elegans NSE3 homolog (MAGE-1) is involved in genome stability and acts in inter-sister recombination during meiosis
Authors: Odiba Arome Solomon , Liao Guiyan , Ezechukwu Chiemekam Samuel , Zhang Lanlan , Hong Ye , Fang Wenxia , Jin Cheng , Gartner Anton , Wang Bin 
Published: August 2023

Abstract
Melanoma antigen (MAGE) genes encode for a family of proteins that share a common MAGE homology domain. These genes are conserved in eukaryotes and have been linked to a variety of cellular and developmental processes including ubiquitination and oncogenesis in cancer. Current knowledge on the MAGE family of proteins mainly comes from the analysis of yeast and human cell lines, and their functions have not been reported at an organismal level in animals. Caenorhabditis elegans only encodes 1 known MAGE gene member, mage-1 (NSE3 in yeast), forming part of the SMC-5/6 complex. Here, we characterize the role of mage-1/nse-3 in mitosis and meiosis in C. elegans. mage-1/nse-3 has a role in inter-sister recombination repair during meiotic recombination and for preserving chromosomal integrity upon treatment with a variety of DNA-damaging agents. MAGE-1 directly interacts with NSE-1 and NSE-4. In contrast to smc-5, smc-6, and nse-4 mutants which cause the loss of NSE-1 nuclear localization and strong cytoplasmic accumulation, mage-1/nse-3 mutants have a reduced level of NSE-1::GFP, remnant NSE-1::GFP being partially nuclear but largely cytoplasmic. Our data suggest that MAGE-1 is essential for NSE-1 stability and the proper functioning of the SMC-5/6 complex.
Loneliness and Social Network Characteristics Among Older Adults With Hearing Loss in the ACHIEVE Study
Authors: Huang Alison R , Reed Nicholas S , Deal Jennifer A , Arnold Michelle , Burgard Sheila , Chisolm Theresa , Couper David , Glynn Nancy W , Gmelin Theresa , Goman Adele M , Gravens-Mueller Lisa , Hayden Kathleen M , Mitchell Christine , Pankow James S , Pike James Russell , Sanchez Victoria , Schrack Jennifer A , Coresh Josef , Lin Frank R ,   for the ACHIEVE Collaborative Research Group, Galasko Doug , Buring Julie , Dubno Judy , Greene Tom , Lustig Larry 
Published: August 2023

Abstract

Background
Hearing loss is linked to loneliness and social isolation, but evidence is typically based on self-reported hearing. This study quantifies the associations of objective and subjective hearing loss with loneliness and social network characteristics among older adults with untreated hearing loss.

Methods
This study uses baseline data (N = 933) from the Aging and Cognitive Health Evaluation in Elders (ACHIEVE) study. Hearing loss was quantified by the better ear, speech-frequency pure tone average (PTA), Quick Speech-in-Noise test, and hearing-related quality of life. Outcomes were validated measures of loneliness and social network characteristics. Associations were assessed by Poisson, negative binomial, and linear regression adjusted for demographic, health, and study design characteristics.

Results
Participants were mean of 76.8 (4.0) years, 54.0% female, and 87.6% White. Prevalence of loneliness was 38%. Worse PTA was associated with a 19% greater prevalence of moderate or greater loneliness (prevalence ration [PR]: 1.19.95% CI: 1.06, 1.33). Better speech-in-noise recognition was associated with greater social network characteristics (eg, larger social network size [IRR: 1.04, 95% CI: 1.00, 1.07]). Worse hearing-related quality of life was associated with a 29% greater prevalence of moderate or greater loneliness (PR: 1.29, 95% CI: 1.19, 1.39) and worse social network characteristics (eg, more constricted social network size [IRR: 0.96, 95% CI: 0.91, 1.00]).

Conclusions
Results suggest the importance of multiple dimensions of hearing to loneliness and social connectedness. Hearing-related quality of life may be a potentially useful, easily administered clinical tool for identifying older adults with hearing loss associated with greater loneliness and social isolation.
An Autoethnography of Hybrid IR Scholars: De-Territorializing the Global IR Debate
Authors: Karkour Haro L , Vieira Marco 
Published: August 2023

AbstractWho can speak from the perspective of the Global South? In answering this question, Global International Relations (IR) finds itself in a cul de sac: rather than globalize IR, Global IR essentializes non-Western categories by associating difference and knowledge to place (countries, regions, and civilizations) which occludes de-territorialized forms of knowledge production. To reach out for these forms of knowledge, we develop the concept of “hybrid subjectivity,” and propose a shift from the macro to the micro. We propose autoethnography as a method to proceed with this move and present two case studies based on our experiences as hybrid IR scholars to illustrate it. In doing so, we demonstrate the relevance of our self-reflexive exercise in deconstructing reified categories and rendering visible new forms of knowledge in the Global IR debate. This article’s conceptualization of hybrid subjectivity enables the recasting of Global IR in a relational, hybrid, and truly global framework for analysis. The argument goes beyond the confines of Global IR and adds essential analytical value to critical, decolonial, and pluriversal critiques of wester-centrism in IR; in the sense of opening new theoretical and empirical possibilities, as an alternative to current intellectual efforts to recover non-colonial or pre-colonial forms of non-Western authenticity.
Integrating row level security in i2b2: segregation of medical records into data marts without data replication and synchronization
Authors: Scheible Raphael , Thomczyk Fabian , Blum Marco , Rautenberg Micha , Prunotto Andrea , Yazijy Suhail , Boeker Martin 
Published: August 2023

Abstract

Objective
i2b2 offers the possibility to store biomedical data of different projects in subject oriented data marts of the data warehouse, which potentially requires data replication between different projects and also data synchronization in case of data changes. We present an approach that can save this effort and assess its query performance in a case study that reflects real-world scenarios.

Material and Methods
For data segregation, we used PostgreSQL’s row level security (RLS) feature, the unit test framework pgTAP for validation and testing as well as the i2b2 application. No change of the i2b2 code was required. Instead, to leverage orchestration and deployment, we additionally implemented a command line interface (CLI). We evaluated performance using 3 different queries generated by i2b2, which we performed on an enlarged Harvard demo dataset.

Results
We introduce the open source Python CLI i2b2rls, which orchestrates and manages security roles to implement data marts so that they do not need to be replicated and synchronized as different i2b2 projects. Our evaluation showed that our approach is on average 3.55 and on median 2.71 times slower compared to classic i2b2 data marts, but has more flexibility and easier setup.

Conclusion
The RLS-based approach is particularly useful in a scenario with many projects, where data is constantly updated, user and group requirements change frequently or complex user authorization requirements have to be defined. The approach applies to both the i2b2 interface and direct database access.
Alterations in Ferrisia gilli (Hemiptera: Pseudococcidae) phenology in California pistachios and potential impacts on controls
Authors: Mercer Nathan H , Stahl Judith M , Daane Kent M 
Published: August 2023

Abstract
The mealybug, Ferrisia gilli Gullan, attacks important crops such as almonds, grapes, and pistachios in California. In pistachios, F. gilli has 3 generations per year, and a single insecticide application timed to the presence of first instars of the first or second generation provided sufficient control. This strategy has, recently, become less effective, and here we tested the possible explanation that F. gilli life stages are smeared, with different life stages present concurrently, reducing the efficacy of a single pesticide application. We monitored F. gilli populations and their natural enemies in central California pistachio orchards from 2021 through 2022. We found the first generation of F. gilli was synchronous, but occurred 3 wk earlier than previously reported. Subsequent generations were smeared. Increased yearly temperatures are a likely explanation for the changes observed in phenology. Almost all natural enemies found were lacewings (n &gt; 10,000). Parasitoids were recovered from pistachios in 2021 (n = 4) and 2022 (n = 164), most were hyperparasitoids. Based on these studies, recommendations are made to monitor F. gilli in early May rather than late May to better target insecticide applications for the first instars.
Speaking Rights to Populism? Using Emotion as the Language of Values
Authors: Hamilton Claire 
Published: August 2023

Abstract
Since 2016 a series of unexpected developments such as Brexit and the shock election of Donald Trump have drawn attention to the rise of populism as one of the most significant phenomena in today’s political world. This populist ‘explosion’ is widely regarded as a significant threat to democracy and human rights, particularly the rights of minorities. So how should the human rights movement best respond? Speaking to the special issue theme on the meaning of and challenges to human rights, this article advances an argument for human rights claims-makers to learn the ‘lessons from populism’ in terms of its emotional appeal. Part 1 reviews the scholarly literature on human rights and the phenomenon of radical right populism to date, including the co-option of rights language by the far right. Part 2 builds on this literature to identify weaknesses in the legalistic way that (political) rights claims are advanced and argues that constructivist perspectives on rights may help ‘speak rights to’ populism. The final part argues that further research into emotions as the ‘language of values’ may help put empirical and conceptual flesh on the bones of a more ‘constructivist’ view of human rights.
Genetic analysis of TMPRSS6 catalytic domain variants in Mexican patients with iron treatment refractoriness
Authors: Hernández-Peña Rubiceli , Maciel-Cruz Eric Jonathan , Rizo-De La Torre Lourdes Del Carmen , Perea-Díaz Francisco Javier , Ibarra-Cortés Bertha 
Published: August 2023

Abstract

Objective
To identify the TMPRSS6 gene variants in Mexican patients with iron treatment refractoriness, to describe hematological and iron profile parameters, and to use bioinformatic prediction and protein modeling tools to assess a possible biological impact for the detected missense variants.

Methods
Nineteen patients referred with iron treatment refractoriness were studied. Peripheral blood was collected to determine hematic cytometry, iron profile, hemoglobin electrophoresis, and quantification. Molecular screening was carried out for exons 15 through 18 of the TMPRSS6 gene by Sanger sequencing and for frequent thalassemia variants by amplification-refractory mutation system-polymerase chain reaction (PCR) and gap-PCR. The biological impact of the detected missense variants was assessed using bioinformatic prediction and protein modeling tools.

Results
We found 5 genetic variants in the matriptase-2 catalytic domain: 1 at intron-15/exon-16 junction (rs60484081) and 4 exonic, 3 missense (rs377054987, p.Gly626Asp; rs1384127820, p.Ser672Thr; rs855791, p.Val727Ala) and 1 synonymous (rs2235321, p.Tyr730=), with frequencies ranging from 0.18 to 0.53. No significant differences were observed in the hematological parameters or iron profile, considering type and number of variants. Bioinformatic predictions suggested a possible biological impact only for rs377054987.

Conclusions
The TMPRSS6 variants observed in Mexican patients with oral iron treatment refractoriness have high frequencies; nevertheless, their relationship with hematological and iron profile parameters needs further research. The possible biological impact for rs377054987 is due to size and amino acid hydrophobicity changes and hydrogen bond modifications.
Endogenous μ-opioid—Neuropeptide Y Y1 receptor synergy silences chronic postoperative pain in mice
Authors: Nelson Tyler S , Santos Diogo F S , Prasoon Pranav , Gralinski Margaret , Allen Heather N , Taylor Bradley K 
Published: August 2023

Abstract
Tissue injury creates a delicate balance between latent pain sensitization (LS) and compensatory endogenous analgesia. Inhibitory G-protein-coupled receptor (GPCR) interactions that oppose LS, including μ-opioid receptor (MOR) or neuropeptide Y Y1 receptor (Y1R) activity, persist in the spinal cord dorsal horn (DH) for months, even after the resolution of normal pain thresholds. Here, we demonstrate that following recovery from surgical incision, a potent endogenous analgesic synergy between MOR and Y1R activity persists within DH interneurons to reduce the intensity and duration of latent postoperative hypersensitivity and ongoing pain. Failure of such endogenous GPCR signaling to maintain LS in remission may underlie the transition from acute to chronic pain states.