bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Smart Terminals in the Power Industrial Internet
Authors: Fuqiang Huang , Zhengpu Chen , Jiangtao Xiao , Zhaoan Jin , Jun Chen , Hai Yang 
Published: October 2024

AbstractThe Power Industrial Internet serves as an essential platform for the digital transformation of the electric power industry, during its implementation, the integration of Information Technology (IT) and Operational Technology (OT) in power production and maintenance has posed significant challenges, necessitating the development of intelligent equipment based on Cyber-Physical Systems (CPS) to bridge this gap. Microcomputer platforms are well-established and reliable systems capable of running various complex algorithms. However, traditional microcomputer-based protection devices face limitations such as firmware programming, limited types of signal sampling, and insufficient data transmission capabilities. In the current era of digital transformation, there is an urgent need for intelligent devices and smart terminals that can overcome these shortcomings through cloud-edge collaboration to assist the digital transformation of the power industry, continuously creating effective applications that enhance quality and efficiency, and fostering new productive forces. This article starts from the strategic orientation of industrial development, the problem orientation of digital transformation, and the demand orientation for quality improvement and efficiency enhancement. It focuses on the key issues in the advancement of the industrial internet, proposes solutions based on microcomputer platforms, and explores new directions in the development of intelligent and digital transformation in the field of relay protection specialization.
Economic Analysis of Distributed Photovoltaic Power Generation Projects
Authors: Qian Zhang , Yuwei Pan 
Published: October 2024

AbstractWith the opportunities brought by China’s promotion of achieving the “dual carbon” targets, the technology of China’s photovoltaic industry is accelerating improvement, and the scale is steadily expanding. Distributed photovoltaic projects have the advantages of flexible configuration, nearby utilization, low investment, and saving land resources, with huge market space and development potential. Although the photovoltaic industry has enormous growth potential and good market prospects, it also faces many risks and challenges such as consumption problems and unstable income. Therefore, studying the economic viability of distributed photovoltaic projects is of great significance for making project investment decisions and promoting the sustainable development of the industry. This paper conducts the economic analysis of distributed photovoltaic power generation projects, calculates profitability analysis indicators such as financial internal rate of return (IRR) of project investment, financial net present value of project investment, and payback period of project investment. It also conducts preliminary sensitivity analysis on uncertain factors such as construction investment, operating revenue, and operating cost. It conducts in-depth sensitivity analysis on consumption, grid electricity price, and self-use electricity price, and proposes countermeasures to improve the economic efficiency of distributed photovoltaic power generation projects. The research results may provide reference and guidance for similar project investment decisions in more challenging investment environments in the future.
Current Status and Prospects of Dam Safety Monitoring Technology for Hydropower Stations
Authors: Jiang Bo , Fan Jinyong , Yang Fuxue , Chen Jian , Zhou Jun 
Published: October 2024

AbstractThe development of new technologies has greatly promoted the progress of dam safety monitoring technology, mainly reflected in the construction of monitoring norms and standards and technical applications. In terms of monitoring norms and standards construction, this paper mainly introduces the achievements made by China in the construction of monitoring norms and standards for dam safety. In terms of monitoring the application of new technologies, the improvement of monitoring technology and equipment perception is introduced, as well as the construction of monitoring system platforms. Finally, providing an outlook on the areas where current monitoring technologies need to be improved and enhanced.
Hydraulic Engineering Safety Platform Under Microservice Architecture - a Case of Shanmei Reservoir Renovation Project
Authors: Lin Yanyan , Ding Wei 
Published: October 2024

AbstractThe traditional centralized or monolithic application architecture can no longer meet the needs of modern hydraulic engineering safety supervision, especially when dealing with business expansion and system upgrades, it is easy to encounter bottlenecks. This paper designs a hydraulic engineering safety supervision platform based on microservice architecture. Firstly, the service partitioning was carried out by researching microservice partitioning methods and integrating them with the specific characteristics followed by a detailed introduction of the platform's implementation process. By applying microservice selection in Shanmei renovation project, it has been verified that the platform can significantly improve the efficiency and accuracy of safety monitoring, and provide flexible and scalable solutions for other hydraulic projects.
Exploring the Digital Twin System in Slope Engineering
Authors: Shu-yu Wu , Zheng-Gang Zhan , Huan-Chun Zhu , Yong-Fu Hu , Peng-Fei Li , Yong-Jun Deng 
Published: October 2024

AbstractFailure to meet specific standards for slope stability conditions may result in the potential collapse of the slope, either partially or completely. The article focuses on slope engineering and examines the structure and components of a comprehensive digital twin system. It also explores the digital technologies used in this system and assesses its unique features and innovative applications in slope construction. The architecture of the digital twin system for rock slopes must cater to the requirements of multiple professionals, comprehensive process coverage, and data-centricity. It should ensure the separation of software and personnel, with key technologies such as 3D geological modeling and rapid updates, GIM+BIM coupling modeling, and challenging techniques like cutting and sealing. Independent innovation is crucial to address these key technologies. During the slope construction period, the digital twin system of rock slope is utilized to intelligently screen unstable blocks. This innovative approach has been successfully implemented and verified in numerous large-scale rock mass projects, with favorable implementation conditions.
Resilience of DBI screened objects and their ladder symmetries
Authors: Jiménez Jose Beltrán , Bettoni Dario , Brax Philippe 
Published: October 2024

Abstract
Scalar field theories with a shift symmetry come equipped with the K-mouflage (or kinetic screening) mechanism that suppresses the scalar interaction between massive objects below a certain distance, the screening radius. In this work, we study the linear response of the scalar field distribution around a screened (point-like) object subject to a long range external scalar field perturbation for the Dirac-Born-Infeld theory. We find that, for regular boundary conditions at the position of the particle, some multipoles have vanishing response for a lacunar series of the multipole order ℓ for any dimension. Some multipoles also exhibit a logarithmic running when the number of spatial dimensions is even. We construct a ladder operator structure, with its associated ladder symmetries, formed by two sets of ladders that are related to the properties of the linear response and the existence of conserved charges. Our results exhibit a remarkable resemblance with the Love numbers properties of black holes in General Relativity, although some intriguing differences subsist.
Global aspects of 3-form gauge theory: implications for axion-Yang-Mills systems
Authors: Anber Mohamed M. , Chan Samson Y. L. 
Published: October 2024

Abstract
We investigate the proposition that axion-Yang-Mills systems are characterized by a 3-form gauge theory in the deep infrared regime. This hypothesis is rigorously examined by initially developing a systematic framework for analyzing 3-form gauge theory coupled to an axion, specifically focusing on its global properties. The theory consists of a BF term deformed by marginal and irrelevant operators and describes a network of vacua separated by domain walls converging at the junction of an axion string. It encompasses 0- and 3-form spontaneously broken global symmetries. Utilizing this framework, in conjunction with effective field theory techniques and ’t Hooft anomaly-matching conditions, we argue that the 3-form gauge theory faithfully captures the infrared physics of the axion-Yang-Mills system. The ultraviolet theory is an SU(N) Yang-Mills theory endowed with a massless Dirac fermion coupled to a complex scalar and is characterized by chiral and genuine $$ {\mathbb{Z}}_m^{(1)} $$

ℤ
m

1

1-form center symmetries, with a mixed anomaly between them. It features two scales: the vev of the complex scalar, v, and the strong-coupling scale, Λ, with Λ ≪ v. Below v, the fermion decouples and a U(1)(2) 2-form winding symmetry emerge, while the 1-form symmetry is enhanced to $$ {\mathbb{Z}}_N^{(1)} $$

ℤ
N

1

. As we flow below Λ, matching the mixed anomaly necessitates introducing a dynamical 3-form gauge field of U(1)(2), which appears as the incarnation of a long-range tail of the color field. The infrared theory possesses spontaneously broken chiral and emergent 3-form global symmetries. It passes several checks, among which: it displays the expected restructuring in the hadronic sector upon transition between the vacua, and it is consistent under the gauging of the genuine $$ {\mathbb{Z}}_m^{(1)} $$

ℤ
m

1

⊂ $$ {\mathbb{Z}}_N^{(1)} $$

ℤ
N

1

symmetry.
Beta cell-specific PAK1 enrichment ameliorates diet-induced glucose intolerance in mice by promoting insulin biogenesis and minimising beta cell apoptosis
Authors: Ahn Miwon , Dhawan Sangeeta , McCown Erika M. , Garcia Pablo A. , Bhattacharya Supriyo , Stein Roland , Thurmond Debbie C. 
Published: October 2024

Abstract
Aims/hypothesis
p21 (CDC42/RAC1) activated kinase 1 (PAK1) is depleted in type 2 diabetic human islets compared with non-diabetic human islets, and acute PAK1 restoration in the islets can restore insulin secretory function ex vivo. We hypothesised that beta cell-specific PAK1 enrichment in vivo can mitigate high-fat-diet (HFD)-induced glucose intolerance by increasing the functional beta cell mass.

Methods
Human islets expressing exogenous PAK1 specifically in beta cells were used for bulk RNA-seq. Human EndoC-βH1 cells overexpressing myc-tagged PAK1 were used for chromatin immunoprecipitation (ChIP) and ChIP-sequencing (ChIP-seq). Novel doxycycline-inducible beta cell-specific PAK1-expressing (iβPAK1-Tg) mice were fed a 45% HFD pre-induction for 3 weeks and for a further 3 weeks with or without doxycycline induction. These HFD-fed mice were evaluated for GTT, ITT, 6 h fasting plasma insulin and blood glucose, body composition, islet insulin content and apoptosis.

Results
Beta cell-specific PAK1 enrichment in type 2 diabetes human islets resulted in decreased beta cell apoptosis and increased insulin content. RNA-seq showed an upregulation of INS gene transcription by PAK1. Using clonal human beta cells, we found that PAK1 protein was localised in the cytoplasm and the nucleus. ChIP studies revealed that nuclear PAK1 enhanced pancreatic and duodenal homeobox1 (PDX1) and neuronal differentiation 1 (NEUROD1) binding to the INS promoter in a glucose-responsive manner. Importantly, the iβPAK1-Tg mice, when challenged with HFD and doxycycline induction displayed enhanced glucose tolerance, increased islet insulin content and reduced beta cell apoptosis when compared with iβPAK1-Tg mice without doxycycline induction.

Conclusions/interpretation
PAK1 plays an unforeseen and beneficial role in beta cells by promoting insulin biogenesis via enhancing the expression of PDX1, NEUROD1 and INS, along with anti-apoptotic effects, that culminate in increased insulin content and beta cell mass in vivo and ameliorate diet-induced glucose intolerance.

Data availability
The raw and processed RNA-seq data and ChIP-seq data, which has been made publicly available at Gene Expression Omnibus (GEO) at https://www.ncbi.nlm.nih.gov/geo/, can be accessed in GSE239382.

Graphical Abstract
A new Bayesian method for estimation of value at risk and conditional value at risk
Authors: Martín Jacinto , Parra M. Isabel , Pizarro Mario M. , Sanjuán Eva L. 
Published: October 2024

Abstract
Value at Risk (VaR) and Conditional Value at Risk (CVaR) have become the most popular measures of market risk in Financial and Insurance fields. However, the estimation of both risk measures is challenging, because it requires the knowledge of the tail of the distribution. Therefore, Extreme Value Theory initially seemed to be one of the best tools for this kind of problems, because using peaks-over-threshold method, we can assume the tail data approximately follow a Generalized Pareto distribution (GPD). The main objection to its use is that it only employs observations over the threshold, which are usually scarce. With the aim of improving the inference process, we propose a new Bayesian method that computes estimates built with all the information available. Informative prior Bayesian (IPB) method employs the existing relations between the parameters of the loss distribution and the parameters of the GPD that models the tail data to define informative priors in order to perform Metropolis–Hastings algorithm. We show how to apply IPB when the distribution of the observations is Exponential, stable or Gamma, to make inference and predictions. .Afterwards, we perform a thorough simulation study to compare the accuracy and precision of the estimates computed by IPB and the most employed methods to estimate VaR and CVaR. Results show that IPB provides the most accurate, precise and least biased estimates, especially when there are very few tail data. Finally, data from two real examples are analysed to show the practical application of the method.
Evaluation of colorectal liver metastases using virtual monoenergetic images obtained from dual-layer spectral computed tomography
Authors: Bae Jae Seok , Yoon Jeong Hee , Kim Jae Hyun , Han Seungchul , Park Sungeun , Kim Se Woo 
Published: October 2024

Abstract
Purpose
To assess the potential of virtual monoenergetic images in assessing colorectal liver metastasis (CRLM) compared with conventional CT images.

Methods
This single-center, retrospective study included 173 consecutive patients (mean age, 65.5 ± 10.6 years; 106 men) who underwent dual-layer spectral CT (DLSCT) between November 2016 and April 2021. Portal venous phase images were reconstructed using hybrid iterative reconstruction (iDose) and virtual monoenergetic imaging at 50 keV. Four radiologists independently and randomly reviewed the de-identified iDose and 50 keV images. Lesion detection, CRLM conspicuity, and CRLM diagnosis were compared between these images using a generalized estimating equation analysis. The reference standards used were histopathology and follow-up imaging findings.

Results
The study included 797 focal liver lesions, including 463 CRLMs (median size, 18.1 mm [interquartile range, 10.9–37.7 mm]). Lesion detection was better with 50 keV images than with iDose images (45.0% [95% confidence interval [CI]: 39–50] vs 40.0% [95% CI: 34–46], P = 0.003). CRLM conspicuity was higher in the 50 keV images than in the iDose images (3.27 [95% CI: 3.09–3.46] vs 3.09 [95% CI: 2.90–3.28], P < 0.001). However, the specificity for diagnosing CRLM was lower with 50 keV images than with iDose images (94.5% [95% CI: 91.6–96.4] vs 96.0% [95% CI: 93.2–98.1], P = 0.022), whereas sensitivity did not differ significantly (77.6% [95% CI: 70.3–83.5] vs 76.9% [95% CI: 70.0–82.7], P = 0.736). Indeterminate lesions were more frequently noted in 50 keV images than in iDose images (13% [445/3188] vs 9% [313/3188], P = 0.005), and 56% (247/445) of the indeterminate lesions at 50 keV were not CRLMs.

Conclusion
The 50 keV images obtained from DLSCT were better than the iDose images in terms of CRLM conspicuity and lesion detection. However, 50 keV images did not improve CRLM diagnosis but slightly increased the reporting of indeterminate focal liver lesions associated with CRLMs.
Different prognosis according to treatment in patients with acute promyelocytic leukemia: How the outcome changed over time
Authors: Scalzulli Emilia , Costa Alessandro , Carmosino Ida , Musiu Paolo , Bisegna Maria Laura , De Propris Maria Stefania , Ielo Claudia , Diverio Daniela , Minotti Clara , Capria Saveria , Latagliata Roberto , Martelli Maurizio , Breccia Massimo 
Published: October 2024

AbstractA comprehensive analysis of 220 patients diagnosed with APL between 1993 and 2022 is here reported. Overall, 214 patients (97.2%) received induction therapy. Complete response (CR) was achieved in 97.4%, 100%, 100%, and 27% of patients treated with AIDA protocol, AIDA + Ara-C, ATRA + ATO, and ATRA monotherapy, respectively. Molecular complete response (CRMRD-) was achieved in 96.8% cases, and 142 patients proceeded to maintenance therapy. Overall, the 3-year and 5-year overall survival (OS) rates were 80.8% (95% CI, 78.1–83.5) and 79.1% (95% CI, 76.4–81.8), respectively. Considering only patients who completed induction and maintenance therapy, the 5-year OS rates were 82.1% (95% CI, 77.5–86.7) for the AIDA0493 cohort, 87.5% (95% CI, 84.4–91.1) for the AIDA2000 cohort, and 100% for the APL0406 cohort (p = 0.044). Additionally, the disease-free survival (DFS) rates were 65.7% (95% CI, 60.4–70.9), 70% (95% CI, 65.8–75.2), and 95.1% (95% CI, 91.7–98.5) (p = 0.016), respectively. Among low and intermediate-risk patients, age > 70 years (p = 0.027) and relapse (p < 0.001) were significantly associated with reduced outcomes. This study contributes to the advancement of our understanding of APL treatment, underscoring the ongoing need for research to enhance outcomes and explore new therapeutic approaches and prognostic factors.
Skin-friction from temperature and velocity data around a wall-mounted cube
Authors: Miozzi Massimo , Schröder Andreas , Schanz Daniel , Willert Christian E. , Klein Christian , Lemarechal Jonathan 
Published: October 2024

AbstractThis paper reports an algorithm for measuring the time-averaged skin friction vector field $$\overline{\pmb {\tau }}(\pmb {X})$$

τ

¯

(

X

)

starting from time-resolved temperature maps, acquired by a functional coating of temperature-sensitive paint. The algorithm is applied to a large area around a wall-mounted cube, immersed in the turbulent boundary layer over a flat plate. The method adopts a relaxed version of the Taylor Hypothesis operating on time-resolved maps of temperature fluctuations $$T'$$

T
′

measured on the slightly warmer bounding surface. The procedure extracts $${\overline{U}}_T(\pmb {X})$$

U
¯

T

(

X

)

, the celerity of displacement of $$T'$$

T
′

, as the best approximation of the forecasting provided by the frozen turbulence assumption near the wall, where its rigorous application is inappropriate. The $$\overline{\pmb {\tau }}(\pmb {X})$$

τ

¯

(

X

)

estimation is based on the hypothesis of a linear relationship between $${\overline{U}}_T(\pmb {X})$$

U
¯

T

(

X

)

and $${\overline{U}}_U(\pmb {X})$$

U
¯

U

(

X

)

, chained to the one between $${\overline{U}}_U(\pmb {X})$$

U
¯

U

(

X

)

and $${\overline{U}}_\tau (\pmb {X})$$

U
¯

τ

(

X

)

. We assess the outcomes of the proposed algorithm against those derived by the 2D and 3D Lagrangian particle tracking (LPT) methodology ’Shake-The-Box’, whose advent has made available high-quality near-wall flow field information. Furthermore, data from high-density 2D time-resolved LPT allows exploring the suitability of the linear relationships chain between $${\overline{U}}_T(\pmb {X})$$

U
¯

T

(

X

)

and $${\overline{U}}_\tau (\pmb {X})$$

U
¯

τ

(

X

)

in the proposed context.
Oxidative stress initiates hemodynamic change in CKD-induced heart disease
Authors: Sen Payel , Hamers Jules , Sittig Theresa , Shashikadze Bachuki , d’Ambrosio Laura , Stöckl Jan B. , Bierschenk Susanne , Zhang Hengliang , d’Alessio Chiara , Zandbergen Lotte M. , Pauly Valerie , Clauss Sebastian , Wolf Eckhard , Dendorfer Andreas , Fröhlich Thomas , Merkus Daphne 
Published: October 2024

AbstractChronic kidney disease (CKD) predisposes to cardiac remodeling and coronary microvascular dysfunction. Studies in swine identified changes in microvascular structure and function, as well as changes in mitochondrial structure and oxidative stress. However, CKD was combined with metabolic derangement, thereby obscuring the contribution of CKD alone. Therefore, we studied the impact of CKD on the heart and combined proteome studies with measurement of cardiac function and perfusion to identify processes involved in cardiac remodeling in CKD. CKD was induced in swine at 10–12 weeks of age while sham-operated swine served as controls. 5–6 months later, left ventricular (LV) function and coronary flow reserve were measured. LC–MS–MS-based proteomic analysis of LV tissue was performed. LV myocardium and kidneys were histologically examined for interstitial fibrosis and oxidative stress. Renal embolization resulted in mild chronic kidney injury (increased fibrosis and urinary NGAL). PV loops showed LV dilation and increased wall stress, while preload recruitable stroke work was impaired in CKD. Quantitative proteomic analysis of LV myocardium and STRING pre-ranked functional analysis showed enrichments in pathways related to contractile function, reactive oxygen species, and extracellular matrix (ECM) remodeling, which were confirmed histologically and associated with impaired total anti-oxidant capacity. H2O2 exposure of myocardial slices from CKD, but not normal swine, impaired contractile function. Furthermore, in CKD, mitochondrial proteins were downregulated suggesting mitochondrial dysfunction which was associated with higher basal coronary blood flow. Thus, mild CKD induces alterations in mitochondrial proteins along with contractile proteins, oxidative stress and ECM remodeling, that were associated with changes in cardiac function and perfusion.