bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive fuzzy disturbance suppression for constrained nonlinear systems under faulty condition
Authors: Yang Meiying , Tang Li 
Published: June 2024

AbstractFor a class of full‐states constraints nonlinear system with actuator failure, an adaptive fuzzy disturbance observer tracking design is carried out by using Lyapunov function and the dynamic surface method. The integral explosion problem is avoided by using the dynamic surface design method. Because the disturbance of the system is unknown, a nonlinear fuzzy disturbance observer is designed to estimate the unknown disturbance. And the unknown nonlinear function is approximated fuzzy logic systems. Based on the Lyapunov function method and backstepping approach, the stability of considered systems are analysed. And the proposed method can guarantee that all the signals in the closed‐loop system are bounded and the system output can track the desired signal to the small neighbourhood range. In addition, the fuzzy disturbance observer can estimate the unknown disturbance state well. Finally, several sets of simulation examples are given and compared with other method, and the experimental results are quantitatively analysed. Then, the robustness and superiority of the proposed control scheme are verified and demonstrated.
Optimal data injection attack design for spacecraft systems via a model free Q‐learning approach
Authors: Yuan Huanhuan , Wang Mengbi , Xi Chao 
Published: June 2024

AbstractThis paper aims to analyse the dynamic response of a corrupted spacecraft rendezvous system from the perspective of attacker. The optimal data injection attack problem is formulated by constructing a tradeoff cost function in a quadratic form. First, the optimal attack strategy and associated sufficient condition for its existence are derived similar to optimal control for attacker without being detected. Breaking the assumption in most existing works, the goal of this paper is to explore the optimal attack strategy without knowing system matrices. A model free Q‐learning approach is designed with the application to solve attacker's optimization problem. Critic network and action network are used to adaptive tuning the value and action for attacker in a forward time. For a more practical situation, a model free attack strategy design is implemented only based on measured input/output data. Finally, the simulation results on the spacecraft system are presented to show the effectiveness of the proposed method for model free attack strategy design.
A mismatched composite disturbance observer‐based adaptive tracking controller for robotic manipulators
Authors: Liu Zhongtao , He Weikai , Li Xiangbao , Liu Cungen , Shao Huaizhi , Fu Peng 
Published: June 2024

AbstractThe paper is devoted to the adaptive tracking control based on the mismatched disturbance observer for motor‐driven robotic manipulators. A novel mismatched disturbance observer is introduced, which does not make bounded derivative assumptions on mismatched disturbances in the robotic manipulator system. Additionally, a new adaptive tracking controller for a motor‐driven robotic manipulator based on the mismatched disturbance observer is designed, which guarantees that all closed‐loop signals are globally uniformly bounded and the tracking error is asymptotic stable. Finally, the simulation comparisons are carried out between the proposed and existing control strategies to demonstrate the superiority of the developed controller.
Filter design for cyber‐physical systems against DoS attacks and unreliable networks: A Markovian approach
Authors: Oliveira Pedro M. , Palma Jonathan M. , Lacerda Márcio J. 
Published: June 2024

AbstractThis article proposes a novel approach for designing a mode‐dependent full‐order dynamic filter for a cyber‐physical system (CPS) that is subject to polytopic uncertainties. The CPS operates on an unreliable network that is susceptible to transmission failures and Denial of Service (DoS) attacks. The attackers have limited energy resources, and the duration of the DoS attack is limited to a maximum number of consecutive time instants. The network is modeled after a proposed non‐homogeneous Markov chain whose transition probability matrix may feature uncertain and unknown probabilities, which are dependent on time‐varying parameters. The design conditions for the filter are obtained using parameter‐dependent linear matrix inequalities. The proposed filter is shown to be effective in reducing the impact of DoS attacks and transmission failures on the CPS. Numerical experiments are presented to illustrate the efficacy of the proposed filter design method, demonstrating its ability to mitigate the effects of uncertainties and attacks on the CPS.
An emergency vehicle traffic signal preemption system considering queue spillbacks along routes and negative impacts on non‐priority traffic
Authors: Chen Yen‐Yu , Wang Jin‐Yuan , Lo Shih‐Ching , Sung Wei‐Ting 
Published: June 2024

AbstractIn urban areas, emergency vehicles (EVs) need efficient traffic signal preemption to ensure timely responses during peak hours. While emergency vehicle traffic signal preemption (EVTSP) has garnered significant attention in the literature, the issues of queue spillbacks and negative impacts on non‐priority traffic have been relatively underreported. These issues are particularly critical during peak hours, notably in densely populated urban areas. This study presents an EVTSP system that considers queue spillbacks on approaches along the routes of EVs and the negative impacts of signal preemption on non‐priority traffic. The proposed control system has four key components: (1) a queue length management algorithm to ensure that an EV will not be impeded by excessive queues, particularly on its initial approaches along its route; (2) a signal preemption algorithm to guarantee uninterrupted passage of an EV even for approaches experiencing queue spillbacks; (3) a traffic status recovery algorithm to alleviate the extra waiting time for non‐priority vehicles after an EV crosses each intersection; and (4) a signal plan recovery algorithm to smoothly transit traffic signals to normal operation. The experimental results confirm that the proposed system considerably improves the travel time of an EV and mitigates the negative impacts on non‐priority traffic.
Combined intensity and coherent change detection with four classes for laboratory multistatic polarimetric synthetic aperture radar
Authors: Hagelberg Alexander , Andre Daniel , Finnis Mark 
Published: June 2024

AbstractSatellites and drone swarms can be used to collect multistatic Synthetic Aperture Radar (SAR) images. Synthetic Aperture Radar images can be used for Intelligence Surveillance and Reconnaissance. One method is to use Coherent Change Detection (CCD) to identify changes such as objects or tracks in the scene. This paper investigates a two‐stage change detector, formed using intensity change and CCD images, extended to laboratory measured multistatic SAR data. A variety of performance metrics are used to quantitatively assess the results. Bistatic results are compared to a variety of multistatic and fully polarimetric results. The improvement in performance of multistatic and fully polarimetric images over bistatic images is shown. Additionally challenges and limitations of using multistatic datasets are highlighted.
Incentivising peers in local transactive energy markets: A case study for consumers, prosumers and prosumagers
Authors: Kwateng Yaa S. A. , Qiu Dawei , Strbac Goran 
Published: June 2024

AbstractA decarbonised future grid should couple technological novelty with innovative market models to efficiently capture the value of grid‐edge decarbonised assets. The transactive energy (TE) concept inverts the centralised grid model by leveraging the evolution of consumers to prosumers to prosumagers. The principal TE market design challenge is transactive control—using market and pricing mechanisms to coordinate autonomous peer interactions, to optimally allocate power and incentivise peers. Peer attraction, incentivisation and retention are all critical for practical TE implementation along three adoption stages, starting from independent peer transactions with the centralised market; to decentralised peer coordination; towards distributed peer‐to‐peer trading. Addressing gaps in related scholarship, the authors investigate the economic positions of distinct peer roles in each adoption stage and two local pricing strategies. Using a real market dataset, trading decisions are simulated over a 1‐year horizon at hourly granularity. Coordinated action achieves better transactive control for the community, with economic superiority over centralised and distributed mechanisms. Distinct peer incentives should equitably align with their contribution to market functionality, such as the value ascribed to prosumagers' flexibility in local pricing and the constrained bargaining power of prosumers in distributed bilateral negotiations.
Design of shipborne cold chain monitoring system based on multi link compression transmission
Authors: Liu Pei‐xue , Chen Yu‐jie , Yan Dong 
Published: June 2024

AbstractAiming at the problems of traditional ship cold chain monitoring systems being easily affected by environmental factors, difficult to achieve real‐time monitoring in the open sea without network signals, and low efficiency in transmitting Beidou short message data, a multi‐link compressed transmission ship cold chain monitoring system was designed by combining 5G technology, Beidou short message transmission technology, and multi‐protocol transmission technology. The system can adaptively switch the strength of wireless signals to ensure that information transmission is not lost. At the same time, a Beidou short message compressed transmission method was proposed to improve transmission efficiency. Test results show that the system can accurately complete data collection and processing, with small system errors, effectively improving the reliability and efficiency of the monitoring system, and has high application value.
Genomic Differences between Spontaneous versus Indicated Extreme Preterm Birth
Authors: Ambalavanan Namasivayam , Cotten C. Michael , Erickson Stephen W. , Mathur Ravi , Torgerson Dara , Ballard Philip L. ,   for the Eunice Kennedy Shriver NICHD Neonatal Research Network and the TOLSURF Study Group
Published: June 2024

Objective Extremely preterm infants are at high risk of neonatal mortality and morbidity. Extreme preterm birth (PTB) may result from spontaneous preterm labor or preterm premature rupture of membranes or may be indicated due to preeclampsia, eclampsia, hypertension, or other causes. Our objective was to identify single nucleotide polymorphisms (SNPs) and biological pathways associated with spontaneous versus indicated extreme PTB using the neonatal genome.
Study Design We evaluated 523 spontaneous births and 134 indicated births weighing 401 to 1,000 g at birth from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network's Genomics dataset by genome-wide association study (GWAS) and pathway analysis. The TOLSURF cohort was used to replicate the results.
Results In the NRN GWAS, no statistically significant results were found, although the Manhattan plot showed one almost significant peak (rs60854043 on chromosome 14 at p = 1.03E-07) along with many other modest peaks at p = 1–9E-06, for a total of 15 suggestive associations at this locus. In the NRN pathway analysis, multiple pathways were identified, with the most significant being “GO_mf:go_low_density_lipoprotein_particle_receptor_activity” at p = 1.14E-06. However, these results could not be replicated in the TOLSURF cohort.
Conclusion Genomic differences are seen between infants born by spontaneous versus indicated extreme PTB. Due to the limited sample size, there is a need for larger studies.
Key Points
The Effect of Shift Timing on Cesarean Delivery Outcomes and Operative Noise Levels
Authors: Smith Gabrielle K. , Ulin Mara A. , Ganjineh Brandon M. , Urban Amanda R. , Fuller Robert R. , Whitham Megan D. 
Published: June 2024

Objective Intraoperative noise exposure has been associated with an increased risk of complications, communication errors, and stress among surgical team members. This study evaluates intraoperative noise levels in cesarean deliveries during different shift times, for example, night shifts, day shifts, and hand-off times between shifts.
Study Design This is a secondary analysis of a prospective observational study which measured volume in decibels, percentage of time above safe levels (>60 dB), startle noise events (events with rapid increase of decibel level above baseline noise), and peak levels (>75 dB) for cesarean deliveries during a 3-month preintervention and postintervention study. This secondary analysis of noise data evaluated whether there were differences in noise for cases occurring during day shifts (6:31 a.m.–4:59 p.m.), night shifts (6:01 p.m.–5:29 a.m.), and hand-off times (5:30 a.m.–6:30 a.m. and 5:00 p.m.–6:00 p.m.). Correlates and postoperative complications during the respective shifts were additionally analyzed.
Results Noise data were collected for a total of 312 cesarean deliveries; 203 occurred during the day shift, 94 during the night shift, and 15 during hand-off times. Median noise in decibels, median noise at various key intraoperative points, number of startle events, percentage of time above 60 dB, and above 75 dB had no significant differences throughout the various shift times. Significantly larger numbers of postpartum hemorrhages, unscheduled, urgent, and STAT cesarean deliveries occurred at hand-off times and on night shifts.
Conclusion Noise levels during cesarean deliveries did not significantly vary when comparing night shifts, day shifts, and hand-off times, despite significantly higher numbers of urgent and STAT cases occurring overnight and during hand-off times. However, more than 60% of case time had noise levels exceeding those considered safe. This suggests that ambient background noise may be contributing more to overall noise levels rather than the specific clinical scenario at hand.
Key Points
Using AI in the creation of municipality slogans
Authors: Hakala Ulla 
Published: June 2024

AbstractIn this exploratory study, Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, is utilized in the creation of slogans for Finnish municipalities in their place-branding efforts. The purpose is to investigate whether ChatGPT could provide the basis for a constructive slogan invention process for a city. Ideally, by adopting ChatGPT into their branding efforts, municipalities could save time and money. The issue is empirically explored in two phases: the first utilizes ChatGPT in the creation of slogans for the 20 largest municipalities in Finland. The second introduces an expert human perspective on the matter by interviewing representatives of three major Finnish cities to garner their thoughts on the use of AI in place branding and on AI-generated slogans.Place branding is more complex than mere promotional elements (Govers in Place Brand Public Diplomacy 9:71–75, 2013), yet, slogans are being widely used by municipalities as traditionally also by companies.
Un-siloing securitization: an intersectional intervention
Authors: Innes Alexandria 
Published: June 2024

AbstractThis research reflects on how securitization works as a structure of power, or as a vehicle through which extant power structures (nationalism, race, gender, class, (dis)ability) are operationalised. I attend to the relationships between three thematic areas of securitization: immigration, health, and violence against women. I examine where securitization theory secures the state while calcifying the boundaries of who belongs to the state, ignoring or actively banishing marginalised and contested identities that do not form part of the audience that co-constitutes security and are obscured within the society for which security is made. The power structures guiding securitization narratives produce a racist, gendered, and classed interpretation of society in which violence against ‘outsiders’ or those who are only partially inside is endemic. This research remodels securitization theory as a tool through which researchers can expose the continuum of lived realities of violence and insecurity that are exacerbated by securitizing processes.
Gender matters: board gender diversity and firms’ export resilience
Authors: Wei Yunyan 
Published: June 2024

AbstractThis study investigates the impact of board gender diversity on the export resilience of Chinese A-share listed firms from 2009 to 2015. Our findings indicate that board gender diversity significantly enhances firms’ export resilience. The results remain robust across various modifications, including adjustments to the sample period, exclusion of extreme values, utilization of alternative measures for critical variables, addressing endogeneity concerns by adding fixed effects and employing the sex ratio at birth as an instrumental variable. Mechanism tests reveal that enhancing the quality of export products, expanding export diversity, and improving corporate reputation are crucial pathways through which board gender diversity can bolster firms’ export resilience. Finally, heterogeneity analysis shows that the positive effect is more pronounced in older firms and those with higher board educational backgrounds. This effect is also more prominent in firms located in provinces with higher levels of non-state economic and product market development.
Navigating the digital divide: unraveling the impact of ICT usage and supply on SO2 emissions in China’s Yangtze River Delta
Authors: Kashif Umair , Shi Junguo , Li Sihan , Wu Qinqin , Song Qiuya , Dou Shanshan , Wei Mengjie , Naseem Snovia 
Published: June 2024

AbstractThe relationship between information and communication technology (ICT) and environmental pollution is widely recognized and complex. To better understand the environmental impact of ICT, we divide it into two facets: the supply side and the usage side. This study investigates the impact of ICT usage and ICT supply on sulfur dioxide (SO2) emissions using random effect and spatial Durbin model in China Yangtze River Delta from 2011 to 2019. The findings reveal an inverted U-shape relationship between ICT usage and SO2 emission, while the supply of ICT has a significant negative impact on SO2 emissions. Furthermore, the spillover effect of ICT usage shows insignificant outcomes, but the supply of ICT has a significant and negative impact on SO2 emissions. Collectively, these findings provide fresh insights and empirical evidence into the effects of ICT usage and ICT supply on SO2 emissions, bearing significant policy implications for promoting ICT to attain sustainable development goals.
Highly efficient lead zirconate titanate ring modulator
Authors: Liu Guolei , Yu Hongyan , Ban Dasai , Li Bin , Wei Guoqiang , Yang Chen , Wang Jungan , Sohn Young-Ik , Han Yu , Qiu Feng 
Published: June 2024

Advanced photonic integrated circuits require large-scale integration of high-speed electro-optic (EO) functional components on a chip. Low power consumption and high operation speed are thus key metrics for almost all integrated EO devices. Here, we demonstrated a ring resonator modulator based on lead zirconate titanate (PZT) on a SiO2/Si substrate. The ridge waveguides were employed to keep a large spatial overlap between the optical field and the electric field within the PZT layer. The device exhibits a data rate of 56 Gbit/s and significant tuning efficiency, reaching up to 35.8 pm/V, corresponding to 1.17 V·cm. The demonstration of energy efficient and high-speed EO modulation paves the way for realizing dense PZT photonics integrated circuits.
Quadruple bonds in MoC: Accurate calculations and precise measurement of the dissociation energy of low-lying states of MoC
Authors: Androutsopoulos Alexandros , Tzeli Demeter , Tomchak Kimberly H. , Morse Michael D. 
Published: June 2024

In the present work, the electronic structure and chemical bonding of the MoC X3Σ− ground state and the six lowest excited states, A3Δ, a1Γ, b5Σ−, c1Δ, d1Σ+, and e5Π, have been investigated in detail using multireference configuration interaction methods and basis sets, including relativistic effective core potentials. In addition, scalar relativistic effects have been considered in the second order Douglas–Kroll–Hess approximation, while spin–orbit coupling has also been calculated. Five of the investigated states, X3Σ−, A3Δ, a1Γ, c1Δ, and d1Σ+, present quadruple σ2σ2π2π2 bonds. Experimentally, the predissociation threshold of MoC was measured using resonant two-photon ionization spectroscopy, allowing for a precise measurement of the dissociation energy of the ground state. Theoretically, the complete basis set limit of the calculated dissociation energy with respect to the atomic ground state products, including corrections for scalar relativistic effects, De(D0), is computed as 5.13(5.06) eV, in excellent agreement with our measured value of D0(MoC) of 5.136(5) eV. Furthermore, the calculated dissociation energies of the states having quadruple bonds with respect to their adiabatic atomic products range from 6.22 to 7.23 eV. The excited electronic states A3Δ2 and c1Δ2 are calculated to lie at 3899 and 8057 cm−1, also in excellent agreement with the experimental values of DaBell et al., 4002.5 and 7834 cm−1, respectively.
Varietie of Lute-Lessons and A Musicall Banquet
Authors: Grapes K Dawn 
Published: June 2024

Abstract
John Dowland’s son Robert produced two musical books through the London press in 1610: the lute treatise and anthology Varietie of Lute-Lessons and the songbook A Musicall Banquet. These international collections were surely inspired, and perhaps directly aided in production, by his father. As the only print in which the older Dowland addresses technique related to the instrument he mastered, Varietie of Lute-Lessons takes on special significance. This chapter examines the contents of the two Robert Dowland anthologies, with close attention given to the John Dowland works that are included. It also considers the dedicatees of each volume, Thomas Monson and Robert Sidney, and posits the two books as the continuation of Dowland’s efforts to secure a post in the Jacobean court.
Freedom of Speech and the Return of the Invisible Gorilla
Authors: Hasnas John 
Published: June 2024

Abstract
The realm of speech protected by the First Amendment is perennially contentious. This contention arises from the mistaken view that speech must either be unregulated or regulated by the state. This overlooks the regulation of speech that comes from common law civil liability. In a liberal society, the desideratum is not free speech, but free and responsible speech. The common law links freedom to responsibility. This chapter demonstrates how, in the absence of the political regulation of speech, common law regulation—defamation, negligence, misrepresentation, tortious interference, etc.—provides all that is necessary to maintain the proper balance between free and responsible speech.
The Obviousness of Anarchy
Authors: Hasnas John 
Published: June 2024

Abstract
This chapter contains a synthesis of the preceding chapters designed to present an argument for anarchy. Unlike many such arguments, it does not rely on abstract theorizing about the functioning of an idealized market. It proceeds by examining the fundamental services supplied by government one by one to demonstrate how they can be provided nonpolitically. It begins by showing how the common law can provide all the rules of law necessary for a peaceful and prosperous society. It then demonstrates how adjudicative and police services can be provided in a manner similar to the way they evolved historically under the common law. The argument presented is an entirely practical one in the sense that it shows what is possible by showing that it already exists.