bluuebunny/crossref_metadata_2025_split huggingface dataset:
Facilitating free travel in the Schengen area—A position paper by the European Association for Biometrics
Authors: Busch Christoph , Deravi Farzin , Frings Dinusha , Kindt Els , Lessmann Ralph , Nouak Alexander , Salomon Jean , Achcar Mateus , Alonso‐Fernandez Fernando , Bachenheimer Daniel , Bethell David , Bigun Josef , Brawley Matthew , Brockmann Guido , Cabello Enrique , Campisi Patrizio , Cepilovs Aleksandrs , Clee Miles , Cohen Mickey , Croll Christian , Czyżewski Andrzej , Dorizzi Bernadette , Drahansky Martin , Drozdowski Pawel , Fankhauser Catherine , Fierrez Julian , Gomez‐Barrero Marta , Hasse Georg , Guest Richard , Komleva Ekaterina , Marcel Sebastien , Marcialis Gian Luca , Mercier Laurent , Mordini Emilio , Mouille Stefance , Navratilova Pavlina , Ortega‐Garcia Javier , Petrovska Dijana , Poh Norman , Racz Istvan , Raghavendra Ramachandra , Rathgeb Christian , Remillet Christophe , Seidel Uwe , Spreeuwers Luuk , Strand Brage , Toivonen Sirra , Uhl Andreas 
Published: April 2023

AbstractDue to migration, terror‐threats and the viral pandemic, various EU member states have re‐established internal border control or even closed their borders. European Association for Biometrics (EAB), a non‐profit organisation, solicited the views of its members on ways which biometric technologies and services may be used to help with re‐establishing open borders within the Schengen area while at the same time mitigating any adverse effects. From the responses received, this position paper was composed to identify ideas to re‐establish free travel between the member states in the Schengen area. The paper covers the contending needs for security, open borders and fundamental rights as well as legal constraints that any technological solution must consider. A range of specific technologies for direct biometric recognition alongside complementary measures are outlined. The interrelated issues of ethical and societal considerations are also highlighted. Provided a holistic approach is adopted, it may be possible to reach a more optimal trade‐off with regards to open borders while maintaining a high‐level of security and protection of fundamental rights. European Association for Biometrics and its members can play an important role in fostering a shared understanding of security and mobility challenges and their solutions.
A novel energy efficient two‐dimensional pilot muting mechanism for non‐stationary channel fading environment
Authors: Sun Yanzan , Tan Hongchang , Yu Tao , Zhang Shunqing , Chen Xiaojing 
Published: April 2023

AbstractTo support communication channels with non‐stationary properties, the pilots are usually configured for the channel worst case in order to ensure the accuracy of tracking the channel, which inevitably causes a waste of resources. To solve this issue, first, a flexible two‐dimensional pilot muting mechanism is proposed by exploiting the time and frequency diversity of the pilot sequence of the resource grid for non‐stationary channel fading environment. Then a super‐resolution based non‐stationary channel recovery scheme for data channel recovery is further proposed for two‐dimensional pilot muting, and the energy efficiency of a resource block is also maximized. Numerical results show that the proposed mechanism can bring about as much as 8 dB performance gain in system energy efficiency.
Dynamic traffic signal control using mean field multi‐agent reinforcement learning in large scale road‐networks
Authors: Hu Tianfeng , Hu Zhiqun , Lu Zhaoming , Wen Xiangming 
Published: April 2023

AbstractMulti‐agent reinforcement learning has played an increasingly important role in intelligent traffic signal control due to its self‐learning ability. However, existing algorithms only focus on signal timing mechanism design while ignoring the exponential growth of the joint action dimension as the number of intersections increases, which will ultimately face the learning difficulty. In this paper, traditional traffic methods are introduced into MARL to flexibly determine the phase and duration of each intersection. The proposed MARL algorithm based on mean field theory has the ability to convert a large number of agents to approximately binary interaction, which can effectively reduce the dimension of joint action space in multi‐agent environment and learn in a robust process. Besides, to improve the performance of traditional traffic methods, the recurrent neural network (RNN) and an improved Webster's formula with revised parameters are combined to dynamically determine the phase duration according to the historical volume of traffic flow. The simulation results indicate that the proposed algorithm shows superior scalability compared to baseline methods and has great potential to be applied in the large scale road‐networks scenario.
High performance bit‐activation code index modulation method
Authors: Liu Fang , Zheng Yuanfang , Feng Yongxin 
Published: April 2023

AbstractWith the increasing demand of applications for the spread spectrum technique, especially the demand for data transmission rates and spectral efficiency, the advantages of the traditional direct sequence spread spectrum (DSSS) system are limited. Therefore, multi‐ary spread spectrum (M‐ary) technology, parallel combinatory spread spectrum (PCSS) technology, and code index modulation (CIM) technology have been proposed. Although these three new technologies can improve the data rate, they all face the problem of the large consumption of pseudo‐code resources. In order to solve the problem of pseudo‐code resources, a bit‐activation code index modulation (BA‐CIM) method is proposed. At the transmitter, considering the good correlation among multiple pseudo‐codes, the corresponding pseudo‐code activation principle is established, and the corresponding spreading pseudo‐code is activated by using the status of each bit of the index data according to the pseudo‐code activation principle. Then, multicode superposition processing is carried out to spread the modulation data. At the receiver, the corresponding activation pseudo‐code is obtained using the maximum peak‐to‐average ratio (MPAR) and secondary peak‐to‐average ratio (SPAR) judgement mechanisms to decode the multibit index data. Compared with existing methods, the proposed BA‐CIM method can not only achieve a better bit error rate performance but also use the least pseudo‐code resources. Moreover, BA‐CIM has the best comprehensive performance improvement and is far superior to other methods. This research can provide technical support for the application of efficient spread spectrum communication.
Imaging Features of COVID-19-Associated Acute Invasive Fungal Rhinosinusitis
Authors: Yadav Nishtha , Kumar Ambuj , Sachdeva Kavita , Asati Shruti 
Published: April 2023

AbstractBackground Acute invasive fungal rhinosinusitis (AIFR) is a rare, rapidly progressive, and life-threatening infection involving the nasal cavity and paranasal sinuses. Purpose of this study is to describe imaging features of coronavirus disease-2019 (COVID-19)-associated AIFR.Methods This was a retrospective observational study. Inclusion criteria: (1) post-COVID-19 patients with fungal rhinosinusitis detected on potassium hydroxide smear or histopathology; (2) onset of symptoms (facial pain, dental pain, facial swelling or discoloration, nasal bleed, periorbital swelling, ptosis, redness of eyes, vision loss) less than 4 weeks; and (3) magnetic resonance imaging/computed tomography (MRI/CT) done within 5 days before surgery. Exclusion criteria: (1) cases of sinusitis without a history of previous COVID-19 infection; and (2) cases in whom fungal hyphae were not demonstrated on pathological examination. Noncontrast CT and dedicated MRI sequences were done initially. Site of involvement, unilateral/bilateral involvement, pattern of mucosal thickening, enhancement pattern, periantral invasion, orbital invasion, intracranial involvement, perineural spread, vascular involvement, and bony involvement were recorded. CT and MRI imaging features were compared.Results Analysis of 90 studies (CT and MRI) in 60 patients was done. Most common site of involvement was ethmoid followed by maxillary sinus. Bilateral disease was more common. Mucosal thickening with T2 hypointense septations was seen in 88.4% MRI studies. Periantral and orbital involvement was seen, respectively, in 84.6% and 55.7% cases of MRI. Intracranial involvement was noted in form of meningitis, cerebritis, abscess, infarct, hemorrhage, cavernous sinus, or perineural invasion. Vascular involvement was noted in form of vascular occlusion (n = 3), vascular narrowing (n = 3), and pseudoaneurysm (n = 2). MRI was more sensitive in detecting periantral invasion, deep infratemporal fossa, cavernous sinus involvement, perineural invasion, optic nerve involvement, and vascular occlusion and narrowing, while CT was superior in identification of bony erosions.Conclusion Early recognition of AIFR in post-COVID-19 patients is important to prevent disease-related morbidity/mortality. Several rarely described findings are noted in our series of AIFR, like optic nerve involvement, pituitary fungal abscess, perineural spread, fungal aneurysms, and arteritis-related posterior circulation infarcts. MRI is superior for early detection of disease and in estimation of extent of disease, compared with CT. Imaging can help in early detection of AIFR, which has a significant impact on patient outcome.
Global Trends in Occupational Lung Disease
Authors: Cohen Robert A. , Go Leonard H.T. , Rose Cecile S. 
Published: April 2023

AbstractLung diseases caused by workplace exposure are too often mis- or underdiagnosed due in part to nonexistent or inadequate health surveillance programs for workers. Many of these diseases are indistinguishable from those that occur in the general population and are not recognized as being caused at least in part by occupational exposures. More than 10% of all lung diseases are estimated to result from workplace exposures. This study reviews recent estimates of the burden of the most important occupational lung diseases using data published by United Nations specialized agencies as well as the Global Burden of Disease studies. We focus on occupational chronic respiratory disease of which chronic obstructive lung disease and asthma are the most significant. Among occupational cancers, lung cancer is the most common, and is associated with more than 10 important workplace carcinogens. Classic occupational interstitial lung diseases such as asbestosis, silicosis, and coal workers' pneumoconiosis still comprise a substantial burden of disease in modern industrial societies, while other occupational causes of pulmonary fibrosis and granulomatous inflammation are frequently misclassified as idiopathic. Occupational respiratory infections gained prominence during the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic, eclipsing influenza and tuberculosis and other less common workplace infectious agents. The most significant risks are workplace exposures to particulate matter, gases, and fumes as well as occupational carcinogens and asthmagens. We present data on the burden of disease measured by deaths attributable to occupational respiratory disease as well as disability-adjusted years of life lost. Where available, prevalence and incidence data are also presented. These diseases are unique in that they are theoretically 100% preventable if appropriate exposure controls and workplace medical surveillance are implemented. This remains a continuing challenge globally and requires steadfast commitment on the part of government, industry, organized labor, and the medical profession.
Physiology and Biomarkers for Surveillance of Occupational Lung Disease
Authors: Yates Deborah H. 
Published: April 2023

AbstractRespiratory surveillance is the process whereby a group of exposed workers are regularly tested (or screened) for those lung diseases which occur as a result of a specific work exposure. Surveillance is performed by assessing various measures of biological or pathological processes (or biomarkers) for change over time. These traditionally include questionnaires, lung physiological assessments (especially spirometry), and imaging. Early detection of pathological processes or disease can enable removal of a worker from a potentially harmful exposure at an early stage. In this article, we summarize the physiological biomarkers currently used for respiratory surveillance, while commenting on differences in interpretative strategies between different professional groups. We also briefly review the many new techniques which are currently being assessed for respiratory surveillance in prospective research studies and which are likely to significantly broaden and enhance this field in the near future.
Australian veterans’ experience of pet ownership: Benefits, costs, and moderating factors
Authors: Zoanetti Joshua , Nielsen Torben Dahl , Tuke Jono , Young Janette , Hazel Susan 
Published: April 2023

Abstract
Australian military veterans, like many veteran populations globally, experience mental health issues, such as depression, anxiety, post-traumatic stress, and suicide, at rates higher than the general population. The impact of having a non-formally trained companion animal on veteran mental health is largely unknown, with literature focusing on trained assistance animals to look at specific illnesses. The aims of the current study were to assess current Australian veteran pet ownership, and to investigate if there was an association between both mental health and perceived cost of pet ownership with level of attachment to ones’ pet.
An online survey targeting Australian veterans and including demographics, and validated scales for mental health, perceived cost of pet ownership and level of attachment was created. The survey was completed by 945 Australian veterans. Dogs were the most owned pet, at 86% of all respondents. Significant negative associations were found between mental health and level of attachment to a pet, with higher attachment associated with poorer mental health. In addition, the level of attachment was negatively associated with the perceived cost of pet ownership.
Pets play a vital role in the daily life of many Australian veterans. While higher attachment was associated with poorer mental health, a higher attachment was also associated with a lower perceived cost of having a pet. The costs and benefits of the human-animal bond are likely complex, and further research, including prospective studies, is required. This will ensure policy and programmes can be developed to maximise the positive impacts, whilst assisting in moderating perceived costs associated with pet ownership.
Improved Power System Load Forecasting Using Information on Climate and Social Events
Authors: Tan Boheng , Li Hongyi , Yin Le 
Published: April 2023

Abstract
Power system load forecasting is crucial for power system planning, operation, and control, which reduces operational costs and improves economic efficiency. However, the current forecasting techniques, including LSTM and ARIMA models, ignore the influence of important factors like weather conditions, public holidays, and social events on power system load, which may give rise to inaccurate prediction results. To mitigate this issue, the present work makes use of the Mann-Kendall mutation detection algorithm to detect abrupt changes in power system load caused by the factors mentioned above. A correction function is then developed to improve the prediction accuracy of a conventional prediction model like ARIMA. The experimental results validate the effectiveness of the proposed approach.
A Method for Judging the Arc-Extinction Time of Resonant Grounding System Based on Frequence Difference
Authors: Zhang Fan , Xue Yongduan , Zhao Rende , Xu Mingming 
Published: April 2023

Abstract
In the resonant grounding system, the accurate judgment of arc-extinction time has guiding significance for the line selection of grounding fault, the evaluation of the arc suppression effect, and the extraction and utilization of transient information after arc extinction. Aiming at the single-phase grounding fault of resonant grounding system, this paper analyzes the frequence change characteristics before and after arc extinction. It is found that the frequence of zero-sequence electrical quantity before arc extinction is power frequence, and it changes after arc extinction. It is used to construct single-frequence methods and dual-frequence methods for judging arc-extinction time. As a tool for dynamic frequence measurement, SOGI-FLL is utilized to realize the engineering application of the method for judging arc-extinction time. The method’s accuracy is proved by Matlab/Simulink simulation and field test.
Low power delta sigma capacitor conversion circuit
Authors: Wang Qianqian , Duan Quanzhen 
Published: April 2023

Abstract
To accurately measure the micro capacitance, a kind of capacitance conversion circuit that uses a second-order Sigma-Delta modulation technique is introduced, and the measuring range of inductive capacitance is extended by a 4-bit DAC capacitor. The loop oscillator is used to provide the modulator with a 16 kHz square wave signal. Because the circuit has a built-in clock generation circuit, no external clock signal is required outside the chip. Chopping technology is used to reduce the impact of 1/f noise on circuit performance. This capacitance conversion circuit is based on the SMIC 0.18um process, simulated and verified with cadence, MATLAB and other tools. The circuit achieves a capacitance range from 0 to 35pF and consumes 25μA from a 1.2V single supply. The conversion time for one measurement is 15ms, during which the resolution is 4fF and good linearity is achieved.
Joint estimation of SOC and SOH of lithium battery based on multi-time scale EKF-ASRCKF algorithm
Authors: Sun Chao , Liu ShiLin , Sun Bo 
Published: April 2023

Abstract
To address the low accuracy of battery charged of state (SOC) estimation due to fixed model parameters and capacity, a joint multi-time scale estimation algorithm (EKF-ASRCKF) is proposed in this paper, which consists of the adaptive square root cubature Kalman filter (ASRCKF) algorithm and the extended Kalman filter (EKF) algorithm. Firstly, the model parameters and capacity on the macroscopic time scale are identified by the EKF algorithm; meanwhile, the battery capacity estimation results characterize the battery health of state (SOH). Then the ASRCKF algorithm estimates the SOC on the microscopic time scale. Finally, the experimental validation is carried out under the BBDST condition. The validation result indicates that the EKF-ASRCKF algorithm provides a good estimation of the model parameters and capacity, which further improves the estimation precision of the battery SOC.
Numerical Study on the Bearing Capacity of Lubricant Film in Journal Bearing with Micro-textured Surface
Authors: Lu Daixing , Zhang Yinsheng , Lu Junjie 
Published: April 2023

AbstractFor studying the hydrodynamic lubrication performance of micro-textured radial journal bearings, a numerical model of hydrodynamic lubrication for journal bearings was established first. Solve the established numerical model using FDM, and the lubricant film pressure distribution and static characteristics of bearings were obtained. Considering the processing cost and feasibility of the processing technology, the cylindrical texture arranged in the radial of the bearing shell surface is applied, the lubricant film thickness equation considering the micro-texture is introduced into the Reynolds equation. According to the height and distribution density of microstructure, the bearing capacity parameters were obtained. The load-carrying capacity of micro structure journal bearing is significantly higher than that of plain bearing. In this paper, a practical model with cylindrical micro-textured surface is given for journal bearing applications with high capacity demand.
A Safety Distance Warning Method for Transmission Lines Based on the Relationship Between Approach Angle and Field Strength
Authors: Tang Haitao , Li Mengxuan , Zhao Zhenqiang , Ma Xiao , Li Yuwen , Yang Zhi , Yu Jindong 
Published: April 2023

Abstract
To prevent construction machinery from intruding into the transmission corridor, a distance early warning method based on the relationship between the approach angle and the electric field strength is proposed. First, use the simulation analysis to determine the installation position of the electric field sensor. Then, the relationship between the approach angle and the electric field strength at the minimum safe distance outside the transmission line for different voltage levels, number of loops, and loop arrangement are analyzed, and the approach angle and electric field strength are used as comprehensive criteria. Finally, the relationship between the comprehensive criteria of various types of transmission lines is analyzed. Through the method proposed in this paper, an effective control method can be provided for maintaining the minimum safe distance when the construction machinery works near the transmission line.
Design and Performance Verification of Pump-Driven Two-Phase Cooling System based on PID Control
Authors: Zhao Wen , Jiang Nan , Xia Shantao , Zuo Kungang , Tang Junhao 
Published: April 2023

Abstract
The core components of phased array radar have high power density. A pump-driven, two-phase cooling prototype was designed and built for their problems such as high heat consumption and high heat dissipation demand. The results showed that the flow rate through each branch was stable, and the heat dissipation performance was better in the case of PID control compared to the case of a flat-faced tube.
Research on Parametric Design of Traditional Weaving Elements
Authors: Xiao Chengnan , Han Jun 
Published: April 2023

Abstract
Derived from computer-aided design, parametric design has been widely used in many fields. Parametric design has gone through multiple iterations, whose methods are summarised by numerous researchers, and a large number of excellent graphical algorithms have been produced. However, in spite of the growing interest in Chinese culture, no parametric modelling tool has yet done a systematic treatment of traditional Chinese design elements. In this paper, traditional weaving elements are taken as an example. By constructing the constraint relationship between parameters and modelling, the design result can be changed by modifying parameters. This feature of parameterization, applied in product design, can help avoid a considerable amount of repetitive modification. This can not only help designers improve efficiency, but also promote the spread of traditional Chinese culture worldwide.
Individual autonomous safety intelligence technology for radioactive material transportation—Multi-sensor fusion early warning technology based on evidence theory
Authors: Yang Qin , Liu Zhenhai , Yang Xiaohua , Wan Yaping , Zeng Tiejun 
Published: April 2023

AbstractThis paper briefly introduces the research project on individual autonomous security intelligence for radioactive materials using radar and microwave-infrared detectors to autonomously sense external threats during railroad transportation and achieve individual autonomous security intelligence. Due to the shortcomings of the single sensor with a false alarm, the project fuses the perception information of each sensor connected to the radar-infrared node to decide the level of danger warning and improve the level of individual autonomous security of radioactive materials. To further improve the accuracy and reduce the false alarm rate of individual autonomous hazard warnings, a reasonable basic probability assignment (BPA) is constructed for each sensor based on a fuzzy set and rough set according to the practical application, and the fusion of individual autonomous perception information is realized by combining Pearson correlation coefficient and D-S evidence theory. The experimental results show that the fused hazard warning accuracy is 91.72% and the false alarm rate is 8.28%, which indicates that individual autonomous safety intelligence can be effectively realized.