bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on low-temperature evaporation of Ag2O-based Ag electrode and electron injection layer and their application in OLEDs
Authors: Xu Yachen , Gu Jialu , Zhou Lulu , Zhao Bingjia , Zhu Yangyang , Shi Wei , Wei Bin 
Published: February 2024

Abstract
Organic light-emitting diodes (OLEDs) have become one of the mainstream lighting and display technologies. The vacuum thermal evaporation is the most widely adopted method for the preparation of organic and metal materials of OLEDs. The thermal deposition of the commonly used silver (Ag) and aluminum (Al) electrodes requires high temperature and long time, which greatly increases the cost of the fabricating process. Therefore, we selected silver oxide (Ag2O) powder instead of Ag pellets as the precursor for evaporating Ag electrodes. Compared to Ag pellets and Al wires, Ag2O-based Ag electrode need lower evaporation temperature and shorter preheating time. In addition, the agglomeration phenomenon on the surface of the Ag2O-based Ag film is prevented, which also increases the carrier concentration of Ag electrode. Moreover, by doping bathophenanthroline (Bphen) in Ag2O powders, the phenanthroline-metal (Bphen-Ag) complexes with higher electron mobility and stronger electron injecting ability can be achieved. We applied Ag2O-based Ag electrode and 10 wt.% Ag2O-based Ag:Bphen as electron injection layer to achieve high-efficiency red phosphorescent inverted OLEDs, with the maximum current efficiency, external quantum efficiency, and power efficiency of 17.79 cd A−1, 20.71%, and 12.14 lm W−1, respectively. This method provides a new strategy for preparing highly efficient inverted red OLED devices.
Controlled bidirectional remote implementations of partially unknown quantum operations
Authors: Liu Miao , Maihemuti Nueraminaimu , Peng Jiayin 
Published: February 2024

Abstract
By blending the ideas of controlled teleportation, bidirectional teleportation and remote implementation of quantum operations, we investigate the bidirectional transmission of quantum operations under the control of one supervisor. Firstly, we provide a method for generating a class of multi-particle entangled states, including five-particle and seven-particle entangled states, using a nine-particle entangled state as an example. Then using our constructed five-particle entangled state as a quantum channel, we propose a new controlled bidirectional protocol for remotely implementing partially known quantum operations (PUQOs for short) of one qubit within the two restricted sets satisfying specific conditions. Subsequently, exploiting a nine-particle entangled state as the quantum channel, we extend it to the case of two-qubit quantum operations which come from eight restricted sets. Replacing two PUQO of two qubits by a PUQO of one qubit and a PUQO of two qubits, we put forward another new asymmetric controlled bidirectional protocol for remotely implementing PKQOs via a seven-particle entangled state as the quantum channel. In these protocols, by using universal recovered operations performed by the receivers, the senders can simultaneously exchange their PUQOs as long as the controller collaborates, where each PUQO acts on the corresponding unknown state owned by the remote recipient.
ZnO/ZIF-8 nanocomposite for orange G dye degradation: synthesis, characterization, photocatalytic activity, and mechanism
Authors: Bakather Omer Y 
Published: February 2024

Abstract
Textile dyes are one of the dominant reasons for water pollution. Among these dyes, Orange G is toxic, carcinogenic, and non-biodegradable and can cause a severe threat to humans and marine life. Therefore, in this present work, a novel photocatalyst was synthesized, and systematic degradation of Orange G dye was investigated. The novel ZnO/ZIF-8 nanocomposite has been successfully synthesized via a two-step method, thermal decomposition for ZnO and wet-chemical method for ZnO/ZIF-8 nanocomposite. The band gap of the nanocomposite was calculated using a KM plot and found to be 3.5 eV. The surface charge of the materials was examined using zeta potential measurement, which was found to be suitable for dye degradation. The recombination time of the materials was investigated using Time-Resolved Photoluminescence (TRPL) study, and it was found that nanocomposite has a lower recombination rate than pristine materials. The degradation efficiency of materials towards Orange G dye was calculated to be ∼95% after 120 min illumination. The photocatalysis mechanism was proposed on the basis of Mott–Schottky measurements, which were supported by the scavenger test. Furthermore, to evaluate the reusability of the nanocomposite, a photocatalytic experiment was conducted several times. The ZnO/ZIF-8 nanocomposite could be used for the degradation of textile dye wastewater.
A Study of 10 Rotating Radio Transients Using Parkes Radio Telescope
Authors: Ren Xinhui , Wang Jingbo , Yan Wenming , Xie Jintao , Wang Shuangqiang , Wen Yirong , Xia Yong 
Published: February 2024

Abstract
Rotating Radio Transients (RRATs) are a relatively new subclass of pulsars that emit detectable radio bursts sporadically. We analyzed 10 RRATs observed using the Parkes telescope, with eight of these observed via the ultra-wide-bandwidth low-frequency (UWL) receiver. We measured the burst rate and produced integrated profiles spanning multiple frequency bands for three RRATs. We also conducted a spectral analysis on both integrated pulses and individual pulses of three RRATs. All of their integrated pulses follow a simple power law, consistent with the known range of pulsar spectral indices. Their average spectral indices of single pulses are −0.9, −1.2, and −1.0 respectively, which are within the known range of pulsar spectral indices. Additionally, we find that the spreads of single-pulse spectral indices for these RRATs (ranging from −3.5 to +0.5) are narrower compared to what has been observed in other RRATs. Notably, the average spectral index and scatter of single pulses are both relatively small. For the remaining five RRATs observed at the UWL receiver, we also provide the upper limits on fluence and flux density. In addition, we obtain the timing solution of PSR J1709-43. Our analysis shows that PSRs J1919+1745, J1709-43, and J1649-4653 are potentially nulling pulsars or weak pulsars with sparse strong pulses.
Modified Verhulst–Solow model for long-term population and economic growth
Authors: Gleria Iram , DaSilva Sergio , Brenig Leon , Rocha Filho Tarcísio M , Figueiredo Annibal 
Published: February 2024

AbstractIn this study, we analyze the relationship between human population growth and economic dynamics. To do so, we present a modified version of the Verhulst model and the Solow model, which together simulate population dynamics and the role of economic variables. The model incorporates support and foraging functions, which participate in the dynamic relationship between population growth and the creation and destruction of carrying capacity. The validity of the model is demonstrated using empirical data.
Research on unmanned navigation and PID control method for aircraft tractor
Authors: Liu Juntian 
Published: February 2024

Abstract
Unmanned navigation and control systems are gaining traction in various industries, including aviation. The related issues of control systems are also hot topics in research. This paper comprehensively studies the application of unmanned navigation and the implementation of proportional integral differential (PID) control methods for aircraft tractors. Aiming at the characteristics of large deviation of turning trajectory angle error and long lag time in the process of an unmanned tractor, the dynamic characteristics and state equation of the unmanned tractor are established by the PID method, and the motion equation is established by the Cartesian coordinate system. Finally, the simulation results show that the proposed method has good dynamic stability and rapidity. Compared with proportional control or integral control alone, the PID control system has better stability and a faster frequency response, which can be obtained that the PID control algorithm can effectively improve the work efficiency of the unmanned tractor and reduce its instability and slow response.
Comparison and analysis of accuracy of various machine learning algorithms in abnormal state monitoring of internet of things devices
Authors: Zhang Bolun 
Published: February 2024

Abstract
With the development of Internet of Things technology, more and more devices are connected to the Internet, including not only traditional computers, mobile phones and other smart terminal devices, but also various sensor devices. These sensor devices can collect a variety of environmental information and physical quantities, such as temperature, humidity, air pressure, light intensity, vibration, etc. These data have the characteristics of real-time, scale and diversity, and need to be processed and analyzed by appropriate algorithms. On the basis of previous studies, this project summarized the application of various machine learning algorithms in device state detection, compared the differences of various machine learning algorithms in sensor device detection and made comparative analysis, calculated the evaluation parameters of MSE, RMSE, MAE, MAPE, R² and other aspects of the machine learning regression model. Compare the effects of various regression models for better monitoring and prediction of equipment status. Through the analysis of a large number of historical data, different equipment state models can be established, and these models can be used to monitor and predict the current equipment state. This can effectively avoid production line downtime or other losses caused by equipment failures or abnormalities. At the same time, through the in-depth analysis of historical data, we can find some potential problems and take corresponding measures to prevent them. This project aims to summarize the application of various machine learning algorithms in device status detection, compare and contrast the differences of various machine learning algorithms in sensor device detection, realize efficient processing and analysis of sensor data, calculate MSE, RMSE, MAE, MAPE, R² and other evaluation parameters, and evaluate and compare each model. To provide more accurate, reliable and efficient equipment condition monitoring and forecasting services for enterprises and individuals.
A comparison of art style transfer in Cycle-GAN based on different generators
Authors: Ma Xu 
Published: February 2024

Abstract
With the rapid development of deep neural networks in computer vision, style transfer technology has also made significant progress. Cycle-GAN can perform object deformation, style transfer, and image enhancement without one-to-one mapping between source and target domains. In the painting style transfer task, the performance of Cycle-GAN is recognized. In Cycle-GAN, the choice of generator model is crucial, and common backbones are ResNet and U-Net. The ResNet generator retains part of the original features through the jump connection of the residual structure, preventing the image from losing important information, and has the potential to maintain the authenticity of the image. The U-Net generator extracts more features and details through a complex and in-depth network architecture, which has excellent potential for tasks requiring a lot of feature extraction. However, few studies have directly compared their performance differences in the context of Cycle-GAN style transfer tasks. This paper compares and analyzes the effects of U-Net and ResNet generators in Cycle-GAN style transfer from different perspectives. The author discusses their respective advantages and limitations in training processes and the quality of generated images. The author presents quantitative and qualitative analyses based on experimental results, providing references and insights for researchers and practitioners in different scenarios. The research findings indicate that in the artwork style transfer task of Cycle-GAN, the U-Net generator tends to generate excessive details and texture, leading to overly complex transformed images. In contrast, the ResNet generator demonstrates superior performance, generating desired images faster, higher quality, and more natural results.
Decentralized Face Identification with Hierarchical Navigable Small World on Blockchain
Authors: Lee Hsiang-Hung , Chen Yiting 
Published: February 2024

Abstract
This paper presents a novel method for decentralized storage in deep-learning-based face recognition systems using the Hierarchical Navigable Small World (HNSW) algorithm. The proposed solution utilizes Ethereum smart contracts, which acts as highly available data storage systems for storing identifiable data for authorized personnel. In addition, the solution is integrated with a centralized vector database that is in charge of vector indexing, searching and associating face embeddings to an identity on the Ethereum blockchain with anonymous hashes. Vector indexing and search processes involve different machine learning algorithms that enable computations to be carried out in a reasonable time with good matching accuracy. Specifically, we compared different approaches and selected the HNSW algorithm. Accordingly, we successfully implemented a prototype of a reliable and privacy-focused decentralized face identification system for areas under government surveillance, such as customs inspection sites. In our measurements, the system could handle 20,000 face vectors easily with high matching accuracy, and the performance could be further improved using more powerful hardware. Finally, we also propose additional methods to further scale up the system to handle millions of face vectors.
A Comparative Study on Deep Networks for Glaucoma Classification
Authors: Ying Zifan , Wang Zhichong , Zhang Hongbo , Zhang Rongxuan 
Published: February 2024

Abstract
The purpose of this study is to classify glaucoma and non-glaucoma images from REFUGE dataset of fundus images. Due to the imbalance of dataset, we did data augmentation and preprocessing for dataset first (including feature extraction and enhancement). We then tested the performance of some deep convolutional neural networks as baselines, including ResNet, GoogLeNet, and VGGNet. Later we introduced self-attention layer into our CNN model and tried a method based on cup-to-disc ratio. Compared to the unprocessed dataset, the processed (data augmentation and feature enhancement) dataset gave a better performace. And self-attention model also improved performance beyond original CNN. Finally our method base on the cup-to-disc ratio was way better than the CNN models above.
Research on laser-based mobile robot SLAM and autonomous navigation
Authors: Huang Zhihong , Geng Jianping 
Published: February 2024

Abstract
SLAM (Simultaneous Localization and Mapping) and autonomous navigation systems, as fundamental components of mobile robots, largely determine their ability to accomplish tasks. While research on laser-based SLAM and autonomous navigation algorithms in simulated environments has achieved significant success, there is limited research on deploying these algorithms on physical mobile robots, conducting real-world experiments to provide practical data for validating the accuracy and applicability of theoretical models.
This paper begins by presenting the system architecture of the mobile robot used in this study. Subsequently, it delves into the research on SLAM algorithms, analyzing and selecting the Gmapping algorithm as the solution to the SLAM problem. Furthermore, the paper introduces the research on autonomous navigation, providing a detailed explanation of the principles behind the A* global path planning algorithm combined with the Dynamic Window Approach (DWA) for local path planning. Finally, by controlling the mobile robot through a distributed communication network, the paper tests the performance of the mobile robot, constructs maps in a real indoor environment, achieving a relative map accuracy error of less than 3%, thus validating the effectiveness of the Gmapping algorithm for practical mapping. Autonomous navigation tasks are also performed, testing the mobile robot’s local obstacle avoidance capabilities using temporary obstacles.
Overall, this research demonstrates that the designed mobile robot can effectively accomplish SLAM and autonomous navigation tasks. The results of this study can also assist beginners in rapidly and clearly building physical mobile robots and deploying SLAM systems.
The DMAPS upgrade of the Belle II vertex detector
Authors: Bettarini S. , Babeluk M. , Barbero M. , Baudot J. , Bosi F. , Buch Y. , Casarosa G. , Federici L. , Forti F. , Kumar A. , Marinas C. , Massa M. , Massaccesi L. , Mazorra de Cos J. , Minuti M. , Mondal S. , Nakamura K.R. , Rizzo G. , Schwanda C. , Schwickardi M. ,   the Belle II VTX Upgrade Group
Published: February 2024

Abstract
The SuperKEKB collider will undergo a major upgrade to reach the target luminosity of 6 × 1035 cm-2 s-1 during the long shutdown (LS2) foreseen to start around year 2027. We are developing a new vertex detector (VTX) to replace the current one (VXD). This new pixel silicon tracker aims to be both more robust against the higher level of machine background and more performant in terms of precision on the decay vertices and standalone track finding efficiency. The baseline layout consists of two layers composing the inner part (iVTX) and three outer layers (oVTX), all arranged in a barrel-shaped geometry, with minimal material budget. All layers will be equipped with dedicated depleted monolithic active CMOS pixel sensors (DMAPS) named OBELIX, designed in the TowerJazz 180 nm technology. This paper will review all the aspects of the project: the detector specifications and the baseline design, the expected improved performance, the OBELIX features and its design status, including the tests of the forerunner chip TJ-Monopix2, and the fabrication and tests for the iVTX and oVTX ladder prototypes.
The End-of-Substructure (EoS) card for the ATLAS Strip Tracker upgrade — from design to production
Authors: Boebel A.L. , Ceslik H. , Dam M. , Diez Cornell S. , Garvey C.M. , Goettlicher P. , Gotfredsen R.S. , Gregor I.M. , Keaveney J.M. , Van Der Merwe M.N. , Palmelund A. , Ruiz Daza S. , Schmitt S. , Stanitzki M. , Strom L.R. 
Published: February 2024

Abstract
The ATLAS Strip Tracker for HL-LHC is composed of individual modules that contain silicon sensors and front-end electronics. These modules are then mounted onto carbon-fiber substructures, hosting up to 14 modules per side. At the end of these substructures, an EoS card connects up to 28 data lines to the lpGBT ASICs and the VTRX+ module, which provide data serialization and 10 Gb/s optical data transmission to the off-detector systems, respectively. The EoS card is powered by a dedicated Dual-Stage DC-DC converter. With the EoS project moving into the production stage, this contribution summarizes the quality assurance and quality control performed during the pre-production phase.
Automatic tracking of the energy spectrum areas of Po-218 and Po-214 at various temperatures
Authors: Yuan Shuai , Xie Ruomei , Liu Shuaibin , Li Huiying , Yi Haibo , Sun Jiale , Liu Zhipeng , Wu Jiulin , Lin Fen , Hu Tao , Mo Yixiang , Yuan Hongzhi , Tan Yanliang 
Published: February 2024

Abstract
Radon and its decay products emit internal radiation in the
respiratory system upon inhalation, which is a significant
contributor to the development of lung cancer in humans. Accurate
measurement of radon concentration is undoubtedly very
important. Among the commonly used radon measurement methods, the
electrostatic collection method stands out. This method involves
counting the energy spectrum peaks of alpha particles, generated by
the decay of radon daughters Po-218 and Po-214, which are collected
on the surface of a semiconductor detector to determine radon
concentration. According to experimental findings, measurements at
different ambient temperatures cause Po-218 and Po-214 to peak
drift. This drift adversely affects the accuracy of radon
measurement using traditional methods. This study focuses on the
characteristics of α-energy spectra from Po-218 and
Po-214. It calculates the peak heights for all α-energy
spectra and identifies the two peaks with the highest
heights. Subsequently, an algorithm is developed to automatically
track the peak positions of Po-218 and Po-214, accurately locating
their counting intervals. The results demonstrate that the algorithm
successfully achieves the desired outcomes through experiments
conducted at different temperatures and measurement durations, thus
validating its effectiveness. This method holds significant
practical value in ensuring the accuracy of radon measurement.
Enlarged carbon footprint inequality considering household time use pattern
Authors: Long Yin , Huang Liqiao , Li Yuan , Wen Quan , Yoshida Yoshikuni 
Published: February 2024

Abstract
Examining household carbon emissions through a supply chain perspective reveals the climate impact of consumption behaviors and variations across societal structures and features. Despite the evident and expanding environmental inequality, strategies for its mitigation and prioritization remain debated. This study investigates the origins of carbon emission inequalities from household consumption, using Japan as a case study, a society characterized by aging demographics and comparatively equal income redistribution. By quantitatively analyzing household carbon footprints, we observe a U-shaped distribution in emissions as income levels increase. Notably, the carbon footprint sizes are strikingly similar between the lowest and highest income groups, yet inequalities emerge in education and investments in future generations. Integrating these findings, this study further conducts a scenario analysis to project shifts in future low-carbon lifestyles, indicating that middle-income groups are more prone to achieving personal-level decarbonization. This projection is vital in understanding how to effectively address carbon footprint inequalities, especially considering the entrenched preferences in wealthier demographics for investing in future generations.
Wilde-ish Spirit Goes West
Authors: Hext Kate 
Published: February 2024

Abstract
This chapter focuses on the Hollywood boom of the mid-1920s, illustrating how it became a destination for the very writers, actors, and directors who had earlier written about or performed Wilde’s work in the United States and Europe. As it does so, it questions how Wilde’s style (and indeed decadent style more broadly) could be adapted on to the screen and considers failed attempts to do this. This discussion unfolds with attention to the problems of decadent style in fiction, giving examples of its evolution and commercialization in the early twentieth century. Was it possible, the chapter asks, and how, to translate not only Wilde’s plots but also his style to the silent screen? What could Wilde style look like in images? Its answer is Ernst Lubitsch’s silent adaptation of Lady Windermere’s Fan (1925), discussed in detail, drawing on Lubitsch’s phrase ‘Wilde-ish’ to describe how he translates Wilde’s epigrammatic style to the screen.