bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thrust Prediction Method of Jet Propulsion for Transformer Internal Inspection Robot
Authors: He Zhen , Wang Yabiao , Sun Xianshuai , Zhao Yuming , Li Zhigang 
Published: May 2022

Abstract
Robot technology has been successfully applied to the internal inspection of large power transformers. In order to further improve the level of robot intelligent control and realize robot motion control accuracy of the floating state, this paper analyzes the factors that affect the jet thrust of the robot propulsion system on the developed spherical transformer internal inspection robot platform based on jet propulsion, and builds an experimental platform. Combining experimental data to establish jet thrust equation. On this basis, the working state of the robot power system is further analyzed, the equivalent discharge model of the robot battery is established, the battery state parameters are introduced into the jet thrust equation. Finally, a mathematical model of jet thrust prediction is established that comprehensively considers the robot power system, control system, and environmental parameters. The establishment of this model lays a good theoretical foundation for the establishment of the robot’s precise dynamics model, fine motion control and intelligent control algorithm.
Research on Acceptance of Intelligent Substation Equipment Based on Secondary System Debugging Technology
Authors: Li Wenwei , Wang Xiaoming , Guo Zipei 
Published: May 2022

Abstract
Substation has always been the hub of power grid transmission, supply and distribution. Its construction has become a key link in the process of power grid construction. In the operation of the power grid, the secondary system provides the basic guarantee for the safe operation of the substation. The safety and reliability of the secondary work is of great significance to the power grid. In order to ensure the safe and stable operation of the secondary system, the protection still adopts the way of directly inputting the voltage and current of the primary system from the current and voltage transformer, and directly controlling the circuit breaker outlet through the relay. This paper mainly aims at the acceptance status of secondary equipment in the intelligent substation. Based on the analytic hierarchy process for data acquisition, analysis and research, obtain the operation acceptance status of secondary equipment in smart substation and make fault prediction. In the example test, the final evaluation score of the secondary equipment in the smart substation is 97.54, which verifies the accuracy of the fuzzy comprehensive evaluation method. Establish a scientific, consistent, feasible and standard state index for the power system.
Virtual Simulation Resource Control Platform for Electric Power Training
Authors: Hao Tengfei , Feng Weixia , Su Ruishi 
Published: May 2022

Abstract
Since virtual simulation needs multiple kinds of data as support, the construction of smooth simulation environment requires higher efficiency in data resource management and control. Based on this, a virtual simulation resource management and control platform for electric power training is proposed. On the basis of analyzing the architecture characteristics of virtual simulation engine, the platform structure of operation process simulation and optimization is designed based on three-layer BS mode. The virtual simulation platform is used as the exchange center to establish the data interface. It builds virtual simulation scenarios through mapping, and implements virtual protection tests through GOOSE messages for data management and protection. The control purpose is realized according to the operation process of the equipment and the inherent protection logic. In this paper, a communication module is designed to ensure smooth data transmission between modules. The test results show that the corresponding time of data resource request is mainly concentrated within 20ms, with good efficiency.
Research on the Probabilistic Load Flow Method of Power System Considering Wind Power Integration
Authors: Xie Hui , Yang Zhong 
Published: May 2022

Abstract
Due to the uncertainty of renewable energy and load, probabilistic power flow as an effective method to analyse the probabilistic properties of power systems. In this paper, a linearized ac probabilistic power flow model is established, and Monte Carlo simulation method is used to analyze the probabilistic power flow of the power grid containing wind farms. By connecting wind farm to node 13 of IEEE14-bus system, the voltage accumulative distribution curves of node 4, node 5 and node 13 are obtained. The results show that the random output of wind farm increases the fluctuation of node voltage, and the fluctuation phenomenon of node voltage becomes serious as the distance of the access point of the wind farm approaches. By connecting wind farms at node 4 and node 14, the voltage accumulative distribution curves of access nodes were obtained. Through comparison, it is concluded that the access of wind farm has a small effect on the voltage of PQ nodes close to PV nodes, but has great influence on the voltage of PQ nodes away from PV nodes. By adding wind farms at node 13, the active power cumulative distribution curves of branch 2-5, branch 3-4, branch 5-6 and branch 6-13 were obtained. By comparison, the active power flow of different branches of the system is affected differently after access to the wind farm. The fluctuation of the active power flow of the branch becomes serious with the shortening of the distance from the access point of the wind farm. The simulation analysis can provide more comprehensive and useful information for the planning and operation personnel of power system including wind farm.
Modeling and Stability Analysis of Interconnected System in Weak Grid
Authors: Wen Chunxue , Gu Yifan , Wang Peng 
Published: May 2022

Abstract
Compared with the conventional grid, the interconnection system has the advantages of high power supply flexibility, high equipment utilization, small installed capacity, and more economical operation. However, unlike in the analysis of stability, the dynamic response of the converter of the interconnected system is faster, and to model its internal structure and control, a new model applicable to it is needed. The article firstly models three different control types of inverters, then starts from the IEEE 9-bus interconnected system composed of multiple types of inverters, models the system and analyzes its stability by root trajectory calculation, and obtains the influence of each parameter change on the stability of the system, based on this and optimizes the sensitive parameters of the system by sensitivity analysis, so as to enhance the stability of the system. Finally, the theory is verified by time domain simulation, and the correctness of the model is verified.
Spatial search on Johnson graphs by discrete-time quantum walk
Authors: Tanaka Hajime , Sabri Mohamed , Portugal Renato 
Published: May 2022

Abstract
The spatial search problem aims to find a marked vertex of a finite graph using a dynamic with two constraints: (1) the walker has no compass and (2) the walker can check whether a vertex is marked only after reaching it. This problem is a generalization of unsorted database search and has many applications to algorithms. Classical algorithms that solve the spatial search problem are based on random walks and the computational complexity is determined by the hitting time. On the other hand, quantum algorithms are based on quantum walks and the computational complexity is determined not only by the number of steps to reach a marked vertex, but also by the success probability, since we need to perform a measurement at the end of the algorithm to determine the walker’s position. In this work, we address the spatial search problem on Johnson graphs using the coined quantum walk model. Since Johnson graphs are vertex- and distance-transitive, we have found an invariant subspace of the Hilbert space, which aids in the calculation of the computational complexity. We have shown that, for every fixed diameter, the asymptotic success probability is 1/2 after taking

π

N

/

(

2

2

)

steps, where N is the number of vertices of the Johnson graph.
Random matrices associated with general barrier billiards
Authors: Bogomolny Eugene 
Published: May 2022

AbstractThe paper is devoted to the derivation of random unitary matrices whose spectral statistics is the same as statistics of quantum eigenvalues of certain deterministic two-dimensional barrier billiards. These random matrices are extracted from the exact billiard quantisation condition by applying a random phase approximation for high-excited states. An important ingredient of the method is the calculation ofS-matrix for the scattering in the slab with a half-plane inside by the Wiener–Hopf method. It appears that these random matrices have the form similar to the one obtained by the author in (2022J. Phys. A: Math. Theor.55024001) for a particular case of symmetric barrier billiards but with different choices of parameters. The local correlation functions of the resulting random matrices are well approximated by the semi-Poisson distribution which is a characteristic feature of various models with intermediate statistics. Consequently, local spectral statistics of the considered barrier billiards is (i) universal for almost all values of parameters and (ii) well described by the semi-Poisson statistics.
Effect of variation of silicone rubber RTV 52 and bluesil catalyst 60 R composition on bolus material for electron beam radiotherapy application
Authors: Hidayanto Eko , Sutanto Heri , Marhaendrajaya Indras , Jaya Gede Wiratma , Arifin Zaenal , Anam Choirul , Widyastuti Setjadiningrat Kuntjoro Lidya Purna , Saraswati Galih Puspa , Dougherty Geoff 
Published: May 2022

Abstract
A bolus is a material equivalent to soft tissue and is directly placed on the skin surface during radiotherapy. It is commonly used to increase the dose on the skin surface in electron beam radiation. A typical material for a bolus is silicone rubber (SR). We made a bolus with dimensions of 17 × 17 × 1 cm3 by varying silicone rubber (SR) RTV 52 and hardening material (bluesil catalyst 60 R) using a simple molded method. We characterized it using a CT scan to find the relative electron density (RED) and examined it using the electron beam of a linear accelerator (LINAC) at energies of 5 and 7 MeV to investigate the percentage of surface dose (PSD). The PSD value is relative to the dose at maximum doses (dmax). The RED value of the bolus was from 1.168 ± 0.021 to 1.176 ± 0.019, higher than the soft tissue (muscle) value of 1.043. The percentage of surface dose (PSD) test at 5 and 7 MeV LINAC energy showed that the highest PSD without using a bolus were 84.79

±

0.06% and 86.03

±

0.07%, respectively. With a bolus, the PSD values were 112.52

±

0.16% and 111.14

±

0.03%, respectively. The results indicate that bolus fabrication using SR RTV 52 and bluesil 60R is very effective for radiotherapy in the treatment of skin cancer due to an increase in surface dose.
L0 regularization-based compressed sensing with quantum–classical hybrid approach
Authors: Aonishi Toru , Mimura Kazushi , Okada Masato , Yamamoto Yoshihisa 
Published: May 2022

Abstract
L0-regularization-based compressed sensing (L0-RBCS) has the potential to outperform L1-regularization-based compressed sensing (L1-RBCS), but the optimization in L0-RBCS is difficult because it is a combinatorial optimization problem. To perform optimization in L0-RBCS, we propose a quantum–classical hybrid system consisting of a quantum machine and a classical digital processor. The coherent Ising machine (CIM) is a suitable quantum machine for this system because this optimization problem can only be solved with a densely connected network. To evaluate the performance of the CIM-classical hybrid system theoretically, a truncated Wigner stochastic differential equation (W-SDE) is introduced as a model for the network of degenerate optical parametric oscillators, and macroscopic equations are derived by applying statistical mechanics to the W-SDE. We show that the system performance in principle approaches the theoretical limit of compressed sensing and this hybrid system may exceed the estimation accuracy of L1-RBCS in actual situations, such as in magnetic resonance imaging data analysis.
Noise enhanced neural networks for analytic continuation
Authors: Yao Juan , Wang Ce , Yao Zhiyuan , Zhai Hui 
Published: May 2022

Abstract
Analytic continuation maps imaginary-time Green’s functions obtained by various theoretical/numerical methods to real-time response functions that can be directly compared with experiments. Analytic continuation is an important bridge between many-body theories and experiments but is also a challenging problem because such mappings are ill-conditioned. In this work, we develop a neural network (NN)-based method for this problem. The training data is generated either using synthetic Gaussian-type spectral functions or from exactly solvable models where the analytic continuation can be obtained analytically. Then, we applied the trained NN to the testing data, either with synthetic noise or intrinsic noise in Monte Carlo simulations. We conclude that the best performance is always achieved when a proper amount of noise is added to the training data. Moreover, our method can successfully capture multi-peak structure in the resulting response function for the cases with the best performance. The method can be combined with Monte Carlo simulations to compare with experiments on real-time dynamics.
Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants
Authors: Engelhart Emily , Lopez Randolph , Emerson Ryan , Lin Charles , Shikany Colleen , Guion Daniel , Kelley Mary , Younger David 
Published: May 2022

Abstract
Antibody therapies represent a valuable tool to reduce COVID-19 deaths and hospitalizations. Multiple antibody candidates have been granted emergency use authorization by the Food and Drug Administration and many more are in clinical trials. Most antibody therapies for COVID-19 are engineered to bind to the receptor-binding domain (RBD) of the SARS-CoV-2 Spike protein and disrupt its interaction with angiotensin-converting enzyme 2 (ACE2). Notably, several SARS-CoV-2 strains have accrued mutations throughout the RBD that improve ACE2 binding affinity, enhance viral transmission and escape some existing antibody therapies. Here, we measure the binding affinity of 33 therapeutic antibodies against a large panel of SARS-CoV-2 variants and related strains of clinical significance using AlphaSeq, a high-throughput yeast mating-based assay to determine epitopic residues, determine which mutations result in loss of binding and predict how future RBD variants may impact antibody efficacy.
Formulary management guiding principles for automated systems
Authors: Urbanski Christopher , Cello Ryan , Luby Brian , Gumpper Karl , Dumitru Doina 
Published: May 2022

Abstract

Purpose
Structural and financial changes in US healthcare are the driving forces reshaping care delivery and the technologies that clinicians use in their practice. Structural-level changes in healthcare organizations bringing facilities varying in size, systems, and complexity under the new integrated care delivery networks create unprecedented challenges. This paper develops guiding principles for formulary management in automated systems that facilitate medication management and alignment of medication information technology (IT) solutions in healthcare organizations ranging in size from a single facility to very large enterprise/multifacility networks.

Summary
This paper describes formulary management best practices for healthcare organizations as they follow crucial medication management processes: formulary item builds, urgent and nonformulary medication requests, and formulary item build testing and maintenance. As medication management practices are embedded in automated technologies that are similar yet nuanced, we pay special attention to practices and change control processes that maximize coordination among systems while preserving medication data integrity and reducing medication errors.

Conclusion
For increasingly complex healthcare systems with multiple medication management system demands, formulary drug database builds and maintenance are challenging and time-consuming. Formulary item build, testing, and maintenance processes involve multifunctional teams collaborating to ensure the integrity of data, prevent unexpected system incompatibilities, and improve patient safety by reducing medication errors. Ideally, formulary item build, testing, and maintenance processes produce consistent final drug records in IT systems meeting user needs.
Deconstructing human peri-implantation embryogenesis based on embryos and embryoids
Authors: Ai Zongyong , Yin Yu , Niu Baohua , Li Tianqing 
Published: May 2022

Abstract
The peri-implantation period from blastula to gastrula is one of the crucial stages of human embryo and stem cell development. During development, human embryos undergo many crucial events, such as embryonic lineage differentiation and development, structural self-assembly, pluripotency state transition, cell communication between lineages, and crosstalk between the embryo and uterus. Abnormalities in these developmental events will result in implantation failure or pregnancy loss. However, because of ethical and technical limits, the developmental dynamics of human peri-implantation embryos and the underlying mechanisms of abnormal development remain in a “black box.” In this review, we summarize recent progress made toward our understanding of human peri-implantation embryogenesis based on extended in vitro cultured embryos and stem cell–based embryoids. These findings lay an important foundation for understanding early life, promoting research into human stem cells and their application, and preventing and treating infertility. We also propose key scientific issues regarding peri-implantation embryogenesis and provide an outlook on future study directions. Finally, we sum up China’s contribution to the field and future opportunities.
MTOR-mediated interaction between the oocyte and granulosa cells regulates the development and function of both compartments in mice
Authors: Su You-Qiang , Yin Yaoxue , Guo Jing , Gong Xuhong , Tian Yufeng , Shi Lanying 
Published: May 2022

AbstractCoordinated development of the germline and the somatic compartments within a follicle is an essential prerequisite for creating a functionally normal oocyte. Bi-directional communication between the oocyte and the granulosa cells enables the frequent interchange of metabolites and signals that support the development and functions of both compartments. Mechanistic target of rapamycin (MTOR), a conserved serine/threonine kinase and a widely recognized integrator of signals and pathways key for cellular metabolism, proliferation, and differentiation, is emerging as a major player that regulates many facets of oocyte and follicle development. Here, we summarized our recent observations on the role of oocyte- and granulosa cell-expressed MTOR in the control of the oocyte’s and granulosa cell’s own development, as well as the development of one another, and provided new data that further strengthen the role of cumulus cell-expressed MTOR in synchronizing oocyte and follicle development. Inhibition of MTOR induced oocyte meiotic resumption in cultured large antral follicles, as well as cumulus expansion and the expression of cumulus expansion-related transcripts in cumulus-oocyte complexes in vitro. In vivo, the activity of MTOR in cumulus cells was diminished remarkably by 4 h after hCG administration. These results thus suggest that activation of MTOR in cumulus cells contributes to the maintenance of oocyte meiotic arrest before the LH surge. Based on the observations made by us here and previously, we propose that MTOR is an essential mediator of the bi-directional communication between the oocyte and granulosa cells that regulates the development and function of both compartments.
Research progress on antibiotic resistance of Salmonella
Authors: Wang Yizhe , Ge Hengwei , Wei Xinyue , Zhao Xihong 
Published: May 2022

Abstract
Antibiotic abuse results in various antibiotic resistance among a number of foodborne bacteria, posing a severe threat to food safety. Antibiotic resistance genes are commonly detected in foodborne pathogens, which has sparked much interest in finding solutions to these issues. Various strategies against these drug-resistant pathogens have been studied, including new antibiotics and phages. Recently, a powerful tool has been introduced in the fight against drug-resistant pathogens, namely, clustered regularly interspaced short palindromic repeats-CRISPR associated (CRISPR-Cas) system aggregated by a prokaryotic defense mechanism. This review summarizes the mechanism of antibiotic resistance in Salmonella and resistance to common antibiotics, analyzes the relationship between Salmonella CRISPR-Cas and antibiotic resistance, discusses the changes in antibiotic resistance on the structure and function of CRISPR-Cas, and finally predicts the mechanism of CRISPR-Cas intervention in Salmonella antibiotic resistance. In the future, CRISPR-Cas is expected to become an important tool to reduce the threat of antibiotic-resistant pathogens in food safety.
Reconstruction of full-length LINE-1 progenitors from ancestral genomes
Authors: Campitelli Laura F , Yellan Isaac , Albu Mihai , Barazandeh Marjan , Patel Zain M , Blanchette Mathieu , Hughes Timothy R 
Published: May 2022

AbstractSequences derived from the Long INterspersed Element-1 (L1) family of retrotransposons occupy at least 17% of the human genome, with 67 distinct subfamilies representing successive waves of expansion and extinction in mammalian lineages. L1s contribute extensively to gene regulation, but their molecular history is difficult to trace, because most are present only as truncated and highly mutated fossils. Consequently, L1 entries in current databases of repeat sequences are composed mainly of short diagnostic subsequences, rather than full functional progenitor sequences for each subfamily. Here, we have coupled 2 levels of sequence reconstruction (at the level of whole genomes and L1 subfamilies) to reconstruct progenitor sequences for all human L1 subfamilies that are more functionally and phylogenetically plausible than existing models. Most of the reconstructed sequences are at or near the canonical length of L1s and encode uninterrupted ORFs with expected protein domains. We also show that the presence or absence of binding sites for KRAB-C2H2 Zinc Finger Proteins, even in ancient-reconstructed progenitor L1s, mirrors binding observed in human ChIP-exo experiments, thus extending the arms race and domestication model. RepeatMasker searches of the modern human genome suggest that the new models may be able to assign subfamily resolution identities to previously ambiguous L1 instances. The reconstructed L1 sequences will be useful for genome annotation and functional study of both L1 evolution and L1 contributions to host regulatory networks.