bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calibration of timing mismatch for TIADC based on error table and fractional delay filter
Authors: Shi Changfei , Xie Xuesong , Zhang Xiaoling , Yu Luyan 
Published: June 2023

Abstract
In this paper, we presents a correcting method based on an error table and fractional delay filter for correcting timing mismatch in a time-interleaved analog-to-digital converter (TIADC). This method uses the ramp signal to estimate timing mismatch and the error table storage error value. A Farrow structure fractional delay filter is utilized to implement the calibration of mismatch. Simulation results show that this method can realize the correction of timing mismatch and suppress the spurious component effectively with a good correction effect.
UAV Tunnel Formation Based on Bearing-only Passive Location Optimization Algorithm
Authors: Peng Pengming , Huang Gang 
Published: June 2023

Abstract
In the actual bearing-only passive UAV positioning system, both the controller and receiver are in non-standard positions. Three-point positioning cannot be carried out simply by a geometric algorithm. This study introduces positioning only by bearing-only information transmission without considering increasing the complexity of system sensors. When the circular formation and conical formation of UAVs are in abnormal positions to locate the unit and adjust it to the standard position, the error distance between the original position and its accurate position is taken as the target, and an iterative optimization model is established. The positions of other UAVs are revised according to the transmitter position information. Finally, the ideal error position information is obtained, which is regarded as the adjustment of the whole unit distance to the standard distance.
A Design of Single-phase LaZnAl11O19 Ceramics for Disposition of Nuclear Waste Using Spark Plasma Sintering
Authors: Sun Huilin , Li Xiaorui , He Cheng , Li Zheng , Zhang Hua 
Published: June 2023

Abstract
The magnetoplumbite-structured LaZnAl11O19 ceramic possessing remarkable mechanical properties and chemical stability was deemed a promising waste form for immobilizing high-level waste. Nevertheless, the tedious procedures and relatively long dwell time constrained the development of present forming approaches. As an alternative, the single-phase LaZnAl11O19 ceramics with high density were rapidly synthesized through flux assisted spark plasma sintering (SPS) method. Systematic investigations into the factors influencing the final phase such as sintering temperature, uniaxial pressure, and dwell time were presented. The XRD and SEM results revealed that a pure phase LaZnAl11O19 could be obtained at 1450 °C with 30 MPa pressure for 20 min doping H3BO3 of 12.5 wt% as flux. Based on the structure information provided by characterizations, the SPS method was proved to be an alternative with rapid densification to the conventional solid-state reaction.
Research on Limit of Hazardous Elements in Automotive Interior Parts Based on Acid Sweat Extraction
Authors: Hou Meng , Zhang Kaixuan , Wang Pan , Li Dong 
Published: June 2023

Abstract
The evaluation index system of hazardous substances in automobile products is constructed for hazardous substances, such as heavy metals in automobiles. That may cause harm to the health of passengers and the natural environment, based on the requirements of domestic and foreign environmental protection laws and regulations as well as the ways and principles of these elements’ harm to the human body. Focusing on 14 kinds of heavy metals and metalloid elements that may be introduced into automobile products, this paper establishes a multi-dimensional evaluation parameter of hazardous substances for environmental protection and health and form a scientific and reasonable indicator system. According to the actual content of hazardous substances in automobile products in China, it aims to guide automobile enterprises to carry out product ecological design, while providing consumers with green procurement indicator reference for car selection and purchase and promoting green production and consumption of automobile products.
Particle Inertial Focusing in Spiral Channel of Tapered Cross-Section
Authors: Zhu Hangjie , Du Ningyu , Liu Yao , Zhang Xinjie 
Published: June 2023

Abstract
Inertial microfluidic technology is widely used for microparticle manipulation (e.g., particle/cell separation and focusing). This paper proposes a novel spiral channel of the tapered cross-section to realize the high-efficiency separation of microbeads of different sizes. The spiral channel is bonded to a thin PDMS (Polydimethylsiloxane) membrane to create the tapered cross-section, and air pressure is applied to deform the membrane. The inertial focusing performance of the channel is investigated by using polystyrene fluorescent microbeads of different diameters. The experimental results show that 15 μm microbeads experience strong inertial lift force and migrate to the inner wall, while 6 μm microbeads are influenced by the dominating Dean vortex and move to the outer wall, resulting in successful separation of two microbeads. The unique advantage of the tapered channel is that the distance between the large and small microbeads can be regulated by the working pressure, and a big gap of ~ 305 μm is achieved under the working pressure of 30 kPa. We hold the opinion that the proposed microfluidic device will provide insights for high-efficiency cell separation and enrichment.
Three-Dimensional Fe-N-C-Supported Amorphous NiFe alloy Nanoparticles as an Efficient Bifunctional Electrocatalyst for Zn-Air Batteries
Authors: He Guiju , Ruan Man , Li Li , Wei zidong 
Published: June 2023

Abstract
The development of highly active and durable bifunctional oxygen reduction and evolution reaction (OER/ORR) electrocatalysts is vitally important for rechargeable metal-air batteries. However, little research has been done on the development of amorphous materials as bifunctional catalysts. Here, amorphous NiFe alloy nanoparticles (a-NiFe) coupled to transition metal nitrogen-doped carbon (Fe-N-C) substrate (a-NiFe@Fe-N-C) have been produced and ducted by a simple synthesis method. It is confirmed that the a-NiFe@Fe-N-C composite has significant amorphous characteristics according to XRD, HR-TEM, and SAED characterization methods, and the amorphous structure has abundant defects caused by the disordered arrangement of atoms, which is conducive to accommodate a large mass of active sites and promote the performance of catalysts. Additionally, the large specific surface area, the interconnected multistage pore structure, and the superior electrical conductivity of the Fe-N-C substrate, as well as the synergistic effect between bimetals Ni and Fe, make a-NiFe@Fe-N-C composite electrocatalyst present superior bifunctional catalytic activity and durability. Remarkably, compared with benchmark Pt/C + IrO2, the rechargeable liquid Zinc-air battery using a-NiFe@Fe-N-C as cathode exhibits a superior power density (170 mW·cm−2), specific capacity (687.65 mAh·gZn-1) and cycling durability (100 h).
Analysis of Dynamic Capacity Increase Transmission Line Carrying Capacity under Temperature and Electromagnetic Field
Authors: Yang Feng , Cui Rongye 
Published: June 2023

Abstract
This article mainly introduces that, as the proportion of renewable energy to total consumed energy increases further, with the large-scale development and construction of new energy, the local power grid may face the problem of conflicting consumption in the future, and the original transmission lines will no longer meet the power demand. For this reason, dynamic capacity increase technology is used to calculate the load capacity in real-time. Through simulation analysis under temperature and electromagnetic fields to ensure that the conductor has sufficient safety while increasing the load capacity, clear data results are obtained based on the analysis.
Research on an Abnormal Recognition Method of the UHV Reactor Based on the DAGMM
Authors: Zhang Hongwei , Jiang Hao , Lu Yanzhen , Huang Haoyang 
Published: June 2023

Abstract
The data of dissolved gas in oil is an important state parameter of the power reactor, and its content directly reflects the working state of the reactor. Fully considering the irregularity of the data distribution of dissolved gas in oil and the problem that the traditional algorithm model cannot effectively deal with high-dimensional data, this paper proposes an abnormal recognition method for UHV reactors based on the Deep Auto-encoding Gaussian Mixture Model (DAGMM). Based on historical detection data, the abnormal state of high-dimensional dissolved gas data in oil is realized using end-to-end training, combined with data dimensionality reduction capabilities of autoencoders and Gaussian mixture model clustering. It is verified with an example analysis that the proposed method can accurately identify the abnormal state of the UHV reactor.
Short-term PV Power Prediction Model Based on VMD-CNN-IBiLSTM
Authors: Tao Yufeng , Liu Linping , Jiang Shuting , Mao Shuangshuang , Ju Xiaoming 
Published: June 2023

Abstract
Because PV power’s generation is unpredictable, so timely and accurate prediction of PV power has great practical significance and research value for daily grid dispatch and power system security. The combined forecast model presented in our study is dependent on variational modal decomposition-convolutional neural network-improved bidirectional long short-term memory neural network (VMD-CNN-IBiLSTM) with PV power as the research object. The model uses VMD to decompose PV power sequences, thus reducing the non-smoothness of the sequences; CNN to extract the essential features of the information; BiLSTM with peephole connections to learn the forward and backward features of the temporal data; and genetic algorithm to enhance the model’s variables. For validation, actual data from the Australian DKASC testbed are used. According to the experimental findings, our study’s combined model is more precise than the classical BP neural network, SVM model, and LSTM model at making predictions.
Parallel Current-sharing Design of Mine Explosion-proof Lithium-ion Battery Power Supply
Authors: Li Qiwei 
Published: June 2023

Abstract
When the output of explosion-proof lithium power supply is used in parallel, there exists the problem of non-uniform current between power sources, so a digital current-sharing strategy and module are designed. The digital current-sharing module uses the current-sharing MCU unit as the current regulating component to monitor the front-stage current and post-stage voltage, current and their feedback values of the power supply power circuit in real time. At the same time, the current compensation values are exchanged through the real-time communication bus, and the current-sharing modules of each power supply balance the current by adjusting the output current. The experimental results show that the problem of parallel current sharing of explosion-proof lithium power supply is solved effectively.
Photovoltaic Power Prediction Based on GA-Elman Model
Authors: Su Xi , Wang Yulu 
Published: June 2023

Abstract
Aiming at the time-varying and fluctuating characteristics of photovoltaic power output, a GA-Elman model is proposed for the short-term prediction of photovoltaic active power. This model can use the historical value of photovoltaic active power and daily meteorological information to directly forecast the active power, which is convenient for the dispatching department of the power supply bureau to obtain photovoltaic output data in advance and enhance the reliability of power supply. Firstly, the input variables of the Elman model are determined by analyzing the factors that affect the active power. Then, the genetic algorithm is adopted to optimize the parameters of the Elman network and establish the GA-Elman prediction model. Finally, the usability of the proposed model is proved by an example simulation.
The effects of a passive Bi-Polar Grid (BPG) on Ion Back-Flow (IBF) and resolution
Authors: Zakharov V. , Shulga E. , Garg P. , Hemmick T. , Milov A. 
Published: June 2023

Abstract
Time Projection Chambers (TPC)s are excellent tracking detectors for high multiplicity
events and can intrinsically be high-rate, but are limited by the ions created in their avalanche
stage. GEMs and Micromegas can reduce IBF through their geometry and E͐-field ratios, but
these can lead to gain fluctuations and still leave IBF as the dominant source of space charge. An
active BPG can block all IBF ions, but their slow drift speed creates too much dead time. A
passive BPG will overcome this limitation by using an external B͐-field to allow the
electrons to pass through while still blocking all ions. Since the grid changes the electron's
trajectory, a loss of resolution will occur. The trajectory is shifted symmetrically along the
wires so the wire alignment with respect to the detection pads is a specific question not studied
before. We present completed IBF analysis from data collected at Weizmann Institute of Science
(WIS), along with an intro to our test on wire resolution.
11–20 MeV Alvarez Drift Tube Linac for low energy proton accelerator
Authors: Teotia Vikas , Malhotra Sanjay , Kumar Prashant , Mishra Elina , Meshram Sumit , Chimurkar Rajesh 
Published: June 2023

Abstract
Bhabha Atomic Research Centre is developing Low Energy High
Intensity Proton Accelerator (LEHIPA) as a pre-injector for proposed
Accelerator Driven Sub-Critical Reactor Systems (ADSS). Drift Tube
Linac is one of the two major accelerating structures of LEHIPA, the
other being the Radio Frequency Quadrupole (RFQ). Like all particle
accelerating structures, DTL needs multi-disciplinary expertise for
design, production, qualification, and installation. This paper
describes the comprehensive design, production, qualification, and
installation of the ∼ 11–20 MeV section of DTL. It details the
design of all sub-components which form part of the DTL RF
cavity. Several novel concepts were implemented in course of this
development. Important among them are DT-DTL alignment, referencing
methodology, robust vacuum design and hermetically sealed DTs. This
paper is a comprehensive coverage of design, development and
installation aspects of Alvarez DTL. At present, the DTL is ready
for beam commissioning.
Quadrupole magnet design, manufacturing and the acceptance tests for METU-defocusing beamline
Authors: Demirköz M.B. , Avaroğlu A. , Seçkin C. , Bülbül B. , Tüysüz C. , Kılıç U. , Uslu P. , Milanese A. , Thonet P.A. , Deferne G. , Petrone C. 
Published: June 2023

Abstract
Middle East Technical University Defocusing Beam Line (METU-DBL) performs the Single Event Effects (SEEs) radiation tests with protons in the range of 15 MeV to 30 MeV kinetic energy at Turkish Atomic Energy Authority Proton Accelerator Facility (TENMAK NÜKEN-PAF) for space and nuclear applications. The most critical beam transfer elements in the METU-DBL are three quadrupole magnets, which are used for defocusing the beam like optical lenses. The first two quadrupole magnets were purchased commercially, and the third quadrupole magnet was designed by the METU-DBL project team and manufactured by Sönmez Transformer Inc. in Turkey. Electronic, mechanic and magnetic capability tests of this custom-designed magnet were conducted both at TUBITAK and CERN facilities. After passing the acceptance tests, the magnet was certified by CERN and then installed to METU-DBL as a third quadrupole magnet. In this paper, we present details of the design, production and performed tests of the quadrupole magnet.
Fashion or function? Relaxed selection and stasis are key features of the evolution of stripes, bands and collars in Sceloporus lizards (Squamata: Phrynosomatidae)
Authors: Cavagnaro John , Ossip-Drahos Alison G , Martins Emília P 
Published: June 2023

Abstract
Dorsal markings are common, and can function in predator evasion, as sexual signals, or be the remnants of developmental or physiological processes. We used phylogenetic comparative analyses to test whether black dorsal markings (stripes, bands or collars) on Sceloporus lizards reflect responses to different selective pressures over evolutionary time, or whether these markings have been linked in an integrated phenotype. We found that longitudinal striping evolved in small-bodied, terrestrial and egg-laying species, consistent with an antipredator function, especially when sexual selection was weak. Transverse bands evolved more slowly, and primarily in arboreal species, where they may enhance crypsis. Evolutionary shifts in collars were strongly linked to sexual size dimorphism, suggesting a function as sexual signals, and were tightly linked to parity mode. In two viviparous lineages, collars have been retained without loss for more than 12 Myr. Future studies are needed to determine whether this stasis is due to hormone transfer between females and their offspring or to other underlying physiological mechanisms. Our findings emphasize relaxed selection and stasis as important forces shaping the evolution of animal colours and signals.
Recentering power: conceptualizing counterpublics and defensive publics
Authors: Jackson Sarah J , Kreiss Daniel 
Published: June 2023

AbstractIn this manuscript we consider the inconsistent ways the concept of “counterpublics” has been taken up in the field to make the claim that considerations of social power must be recentered in the theorization of publics. To do this we provide an in-depth genealogy of the concept of counterpublics, analyze its use by critical scholars, and then consider its application in empirical studies of digital networks and right-wing publics. We argue that scholars studying digital and far-right publics in particular must take the critical analysis of power seriously. Through this lens, we show that classifying right-wing movements as “defensive” is more theoretically and empirically accurate. In doing so, we conceptualize public spheres as indelible outgrowths of social structures, even as they work to transform them in turn, and provide a framework for scholars to understand public spheres through the lens of history, social differentiation, relations, resources, and access.
Multimodality imaging in marantic endocarditis associated with cancer: a multicentric cohort study
Authors: Deharo François , Arregle Florent , Bohbot Yohann , Tribouilloy Christophe , Cosyns Bernard , Donal Erwan , Di Lena Chloe , Selton Suty Christine , Bourg Corentin , Hubert Sandrine , Casalta Jean-Paul , Philip Mary , Martel Helene , Gouriet Frederique , Habib Gilbert 
Published: June 2023

Abstract

Aims
We aimed to assess the role of multimodality imaging (MMI) in the diagnosis of marantic endocarditis (ME) associated with cancers and to describe the clinical characteristics, management, and outcome of these patients.

Methods and results
In a retrospective multicentric study including four tertiary centres for the treatment of endocarditis in France and Belgium, patients with a diagnosis of ME were included. Demographic, MMI [echocardiography, computed tomography (CT), and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT)], and management data were collected. Long-term mortality was analysed. Between November 2011 and August 2021, 47 patients with a diagnosis of ME were included. Mean age was 65 ± 11 years. ME occurred in 43 cases (91%) on native valves. Vegetations were detected by echocardiography in all cases and in 12 cases (26%) by CT. No patient had an increased cardiac 18F-FDG valve uptake. The most common cardiac valve involved was aortic (34 cases, 73%). Twenty-two patients (46%) had a known cancer before ME, and 25 cases (54%) were diagnosed thanks to multimodality imaging. 18FDG PET/CT was performed in 30 patients (64%) and allowed a new diagnosis of cancer in 14 patients (30%). Systemic embolism was frequent (40 patients, 85% of cases). Forty-one patients (87%) were treated medically with anticoagulation therapy. One-year mortality was 55% (26 patients).

Conclusion
ME remains associated with a high risk of complications and death.
Validation and comparison of cardiovascular risk prediction equations in Chinese patients with Type 2 diabetes
Authors: Liang Jingyuan , Li Qianqian , Fu Zhangping , Liu Xiaofei , Shen Peng , Sun Yexiang , Zhang Jingyi , Lu Ping , Lin Hongbo , Tang Xun , Gao Pei 
Published: June 2023

Abstract

Aims
For patients with diabetes, the European guidelines updated the cardiovascular disease (CVD) risk prediction recommendations using diabetes-specific models with age-specific cut-offs, whereas American guidelines still advise models derived from the general population. We aimed to compare the performance of four cardiovascular risk models in diabetes populations.

Methods and results
Patients with diabetes from the CHERRY study, an electronic health records-based cohort study in China, were identified. Five-year CVD risk was calculated using original and recalibrated diabetes-specific models [Action in Diabetes and Vascular disease: PreterAx and diamicroN-MR Controlled Evaluation (ADVANCE) and the Hong Kong cardiovascular risk model (HK)] and general population-based models [Pooled Cohort Equations (PCE) and Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR)]. During a median 5.8-year follow-up, 46 558 patients had 2605 CVD events. C-statistics were 0.711 [95% confidence interval: 0.693–0.729] for ADVANCE and 0.701 (0.683–0.719) for HK in men, and 0.742 (0.725–0.759) and 0.732 (0.718–0.747) in women. C-statistics were worse in two general population-based models. Recalibrated ADVANCE underestimated risk by 1.2% and 16.8% in men and women, whereas PCE underestimated risk by 41.9% and 24.2% in men and women. With the age-specific cut-offs, the overlap of the high-risk patients selected by every model pair ranged from only 22.6% to 51.2%. When utilizing the fixed cut-off at 5%, the recalibrated ADVANCE selected similar high-risk patients in men (7400) as compared to the age-specific cut-offs (7102), whereas age-specific cut-offs exhibited a reduction in the selection of high-risk patients in women (2646 under age-specific cut-offs vs. 3647 under fixed cut-off).

Conclusion
Diabetes-specific CVD risk prediction models showed better discrimination for patients with diabetes. High-risk patients selected by different models varied significantly. Age-specific cut-offs selected fewer patients at high CVD risk especially in women.
My journey with yeast
Authors: Abbas Charles 
Published: June 2023

Abstract
Advances in yeast biotechnology rely on the application of knowledge gained using modern biotechnological tools to harness the metabolic repertoire of various yeast genera that have been studied in detail. In my work, I have attempted to combine knowledge gained from academic research with industrial knowhow in practical cost-effective ways to scale-up commercial yeast fermentations from one hundred thousand to greater than one million liters. Among the processes I scaled up and/or optimized to production scale include biofuels, chemicals, food, and feed additives. During a long industrial career that spanned over three decades, I leveraged what was often very challenging work with many academic, government, and industrial scientists engaging them in collaborative research to ensure a successful outcome. Many of these collaborators responded in kind and are part of this narrative. In many ways, my journey was also theirs. However, I acquired the scientific foundation or starting point much earlier during my undergraduate studies learning from great professors that helped me understand the complexity of science while convincing me of the value of pursuing research as a career.