bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigating the Convertibility and Barrier Performance of a Novel Suberin Dispersion Coating During the Paperboard Creasing Process
Authors: Lev Roman , Lyytikäinen Johanna , Matthews Sami , Koppolu Rajesh , Tanninen Panu , Leminen Ville 
Published: August 2024

ABSTRACTPackaging plastics are being substituted by more sustainable materials to satisfy modern‐life requirements. For example, utilisation of biocoated paperboards for packaging is one of the options; however, certain challenges exist in maintaining the integrity of the coated surface. In this study, the barrier formation and convertibility properties of a novel suberin dispersion coating were examined and compared with those of six commercial coatings by measuring their oil and grease resistance and using scanning electron microscopy (SEM) before and after creasing. Even before creasing, SEM revealed deep cavities on the coated surfaces, with the potential to impair the material barrier properties. Furthermore, finite element modelling provided evidence that creasing stresses emerged under the rules and in nearby areas. These outer stresses with internal fibre structure realignment caused the formation of surface defects such as grazes, microcracks and coating ruptures. The deepest defects, which critically reduce the barrier properties, were oriented parallel to the machine direction of the materials. In contrast, the cross‐machine direction‐oriented defects were bridged by the substrate fibres and did not penetrate that deeply into the coating thickness. The amount and severity of the surface damage revealed by SEM were correlated with the actual oil resistance measured for each material. The results indicate that the suberin dispersion exhibits promising barrier performance as a paperboard coating but requires further development to enhance its resistance to the conversion stresses.
Nonlinearity‐Induced Enhancement of Entanglement in Quantum Walk
Authors: Ye Biao‐Liang , Fei Shao‐Ming 
Published: August 2024

AbstractThe quantum entanglement between the coin state and the position in nonlinear quantum walks is investigated. This study reveals that the nonlinearity of the quantum walk has a significant impact on the enhancement of quantum entanglement in an initially separable bipartite system. It is demonstrated that by selecting appropriate nonlinear parameters the initial separable states may turn to be entangled, and even approach to maximal entangled states.
Critical Sensing with a Single Bosonic Mode Without Boson–Boson Interactions
Authors: Chen Ken , Lü Jia‐Hao , Zhu Xin , Zhang Hao‐Long , Ning Wen , Yang Zhen‐Biao , Zheng Shi‐Biao 
Published: August 2024

AbstractCritical phenomena of quantum systems are useful for enhancement of quantum sensing. However, experimental realizations of criticality enhancement are confined to very few systems, owing to the stringent requirements, including the thermodynamical or scaling limit, and fine control of interacting quantum subsystems or particles. Here, a simple critical quantum sensing scheme is proposed that requires neither of these conditions. The critical system is realized with a single parametrically‐driven bosonic mode involving many non‐interacting bosons. The quantum Fisher information is calculated, which confirms the criticality‐enabled enhancement. The response of one of the quadratures to the variation of the control parameter is further detailed. The numerical results reveal that its inverted variance exhibits a diverging behavior at the critical point. Based on the presently available control techniques of parametric driving, it is expected that scheme can be realized in different systems, e.g., ion traps and superconducting circuits.
Formal institutions, informal institutions, and firms' environmental innovation: An application of the fuzzy set qualitative comparative analysis method
Authors: Liao Zhongju , Wu Yuhan 
Published: August 2024

AbstractThe institutional environment is an important component of the business environment, and it has a significant impact on firms' strategic decision‐making. Based on institutional theory, this study explores the specific paths by which four types of formal institutions, and two types of informal institutions, jointly affect firms' environmental innovation. Thirty provinces in China were selected as the research sample, and the fuzzy set qualitative comparative analysis method was used to analyze the data. The results indicate four paths of high‐level environmental innovation and two paths of non‐high‐level environmental innovation in institutional combinations. Based on the core conditions of each path, the results can be divided into five types of institutional combinations; formal institutions are found to play an irreplaceable role in the overall institutional environment. The study findings provide a reference for the government to optimize formal and informal institutions to promote firms' environmental innovation.
Disentangling audiences' reactions to creative content and creative packaging
Authors: Orazi Davide C. , Mannucci Pier Vittorio 
Published: August 2024

AbstractResearch SummaryThis research addresses the tension of audiences often rejecting creative products despite creativity being foundational to organizational success. To better understand this issue, we take an abductive approach to disentangle the effects of creative content (how creative the core concept is) and creative packaging (how creatively the core concept is presented and visualized) while accounting for audiences' different expertise levels. Across two archival studies and a pre‐registered experiment, we find that both experts and general audiences react positively to creative content. However, reactions to creative packaging display greater variability: on average, experts react positively whereas general audiences react negatively. We find no interaction between the two variables. We discuss the theoretical implications of these findings for the literature.Managerial SummaryWhile creativity is foundational to organizational success, audiences often reject creative products. Across two archival studies and an experiment, we show how the effect of creativity on different audience's reception can be better understood when disentangling creative content (how creative the core concept is) from creative packaging (how creatively the core concept is presented and visualized). Our results suggest that companies should (a) invest more resources in developing products high in creative content—products that break current norms and are different from others—and (b) acknowledge that heavy investments into novel and visually groundbreaking packaging lend diminishing returns, particularly for general audiences: for the same level of quality a traditional (vs. creative) packaging yields more advantages.
Investigation of H∞$$ {\mathcal{H}}_{\infty } $$‐Tuned Individual Pitch Control for Wind Turbines
Authors: Henry Aoife , Pusch Manuel , Pao Lucy 
Published: August 2024

ABSTRACTLarge wind turbines experience amplified asymmetrical loads at particular harmonics of the rotational frequency. Individual pitch control (IPC) has emerged as a potential controls solution to this problem.
control, which facilitates robust, multivariable controller synthesis in the frequency domain, is a candidate approach to IPC design for several reasons. First, the objectives of asymmetrical load attenuation can be readily described in the frequency domain. Second, the IPC signals and loads in orthogonal directions are known to be coupled, which necessitates a multivariable controller approach. Third,
synthesis is a method that can explicitly impose constraints on the robustness of the closed‐loop system. A downside of IPC is the significant increase in blade‐pitch travel incurred, which introduces additional loading on the blade‐pitch bearings over time. We investigate strategies to constrain the blade‐pitch travel in the controller tuning procedure. A comprehensive study is thus presented for a range of
‐synthesized IPCs to attenuate asymmetrical loads on large rotors at harmonics of the rotational frequency while reducing blade‐pitch travel. All developed controllers are validated and compared using a 25‐MW fixed‐bottom offshore wind turbine model via (a) linear analysis of the response of the closed‐loop system to input and output disturbances, (b) nonlinear analysis in terms of structural load power spectra and damage‐equivalent loads (DELs), and (c) the actuator duty cycle (ADC) of the blade‐pitch actuator.
Maneuver-Level Cooperation of Automated Vehicles
Authors: Nichting Matthias , Heß Daniel , Köster Frank 
Published: August 2024

AbstractCooperative behavior of automated vehicles at the maneuver level is of utmost importance for the efficient and safe use of traffic space. This chapter discusses a vehicle-to-vehicle communication-based negotiation and cooperation method for maneuver cooperation. The method is based on the negotiation about explicitly defined reservation areas on the road for the exclusive use of a particular traffic participant. It covers all standard traffic situations occurring on regular streets and thus achieves universal applicability. The evaluation of simulations and driving tests shows the suitability of the method for effective maneuver cooperation in various traffic situations. Furthermore, based on this method, the planning and execution of cooperative maneuvers in emergency situations are investigated. Simulations show that collisions can be avoided in relevant cases by this method. Moreover, further simulations and driving tests show that joint maneuvers can avoid sharp braking maneuvers in many situations. In addition, research on a methodology for implicit maneuver cooperation is presented. Based on reinforcement learning methods, partially cooperative decision-making functions are studied in a setting that benefits from cooperative behavior. The evaluation shows that cooperative behaviors of road participants can be achieved using this technique.
Hierarchical Motion Planning for Consistent and Safe Decisions in Cooperative Autonomous Driving
Authors: Eilbrecht Jan , Stursberg Olaf 
Published: August 2024

AbstractThe immersion of autonomous cars in continuously changing environments of on-road traffic requires procedures for decision-making with fast adaptation as well as guarantees on safe motion and collision-avoidance. This contribution proposes a three-layer hierarchic decomposition of the task of automatically steering the autonomous car along a designated route in cooperation with neighbored vehicles. The upper layer of the hierarchy identifies cooperative groups of those vehicles which are involved in a joint scenario for a phase of the planning horizon. The medium layer employs set-based computations of the free space for any vehicle of a joint scenario together with constrained optimal control to determine optimized motion plans. These plans are used on the lower layer as reference signals for tracking control in order to realize motion trajectories. The architecture ensures consistency of the vehicle motion with respect to safety for given assumptions, as well as relatively small computation times by combining offline with online computation.
AutoKnigge—Modeling, Evaluation and Verification of Cooperative Interacting Automobiles
Authors: Kehl Christian , Kloock Maximilian , Kusmenko Evgeny , Eckstein Lutz , Alrifaee Bassam , Kowalewski Stefan , Rumpe Bernhard 
Published: August 2024

AbstractThe development of cooperative driving functions to optimize traffic systems shows high potential to improve individual autonomous driving systems with respect to topics like traffic flow, vehicle safety and user comfort. The core concept of the presented solutions is the Local Traffic System (LTS). Following the messages defined in European Telecommunications Standards Institute (ETSI) Intelligent Transport Systems (ITS) G5 for Vehicle-to-everything (V2X) cooperation we introduce concepts and implementations to intelligently group vehicles based on the exchanged V2X data with respect to the individual vehicle capability for cooperation. Based on the determined grouping, we present algorithms for cooperative trajectory planning. We develop a verification method for the cooperatively planned trajectories within a LTS. The verification guarantees collision avoidance and deadlock-freeness in real-time. Finally we introduce a model language based on MontiArc to enable a systematic representation and description of the presented concepts for grouping, cooperation and interaction.
Robust Local and Cooperative Perception Under Varying Environmental Conditions
Authors: Gamerdinger Jörg , Volk Georg , Teufel Sven , von Bernuth Alexander , Müller Stefan , Hospach Dennis , Bringmann Oliver 
Published: August 2024

AbstractRobust perception of the environment under a variety of ambient conditions is crucial for autonomous driving. Convolutional Neural Networks (CNNs) achieve high accuracy for vision-based object detection, but are strongly affected by adverse weather conditions such as rain, snow, and fog, as well as soiled sensors. We propose physically correct simulations of these conditions for vision-based systems, since publicly available data sets lack scenarios with different environmental conditions. In addition, we provide a data set of real images containing adverse weather for evaluation. By training CNNs with augmented data, we achieve a significant improvement in robustness for object detection. Furthermore, we present the advantages of cooperative perception to compensate for limited sensor ranges of local perception. A key aspect of autonomous driving is safety; therefore, a robustness evaluation of the perception system is necessary, which requires an appropriate safety metric. In contrast to existing approaches, our safety metric focuses on scene semantics and the relevance of surrounding objects. The performance of our approaches is evaluated using real-world data as well as augmented and virtual reality scenarios.
Prioritized Trajectory Planning for Networked Vehicles Using Motion Primitives
Authors: Scheffe Patrick , Pedrosa Matheus V. A. , Flaßkamp Kathrin , Alrifaee Bassam 
Published: August 2024

AbstractThe computation time required to solve nonconvex, nonlinear optimization problems increases rapidly with their size. This poses a challenge in trajectory planning for multiple networked vehicles with collision avoidance. In the centralized formulation, the optimization problem size increases with the number of vehicles in the networked control system (NCS), rendering the formulation unusable for experiments. We investigate two methods to decrease the complexity of networked trajectory planning. First, we approximate the optimization problem by discretizing the vehicle dynamics with an automaton, which turns it into a graph-search problem. Our search-based trajectory planning algorithm has a limited horizon to further decrease computation complexity. We achieve recursive feasibility by design of the automaton which models the vehicle dynamics. Second, we distribute the optimization problem to the vehicles with prioritized distributed model predictive control (P-DMPC), which reduces the problem size. To counter the incompleteness of P-DMPC, we propose a framework for time-variant priority assignment. The framework expands recursive feasibility to every vehicle in the NCS. We present two time-variant priority assignment algorithms for road vehicles, one to improve vehicle progress and one to improve computation time of the NCS. We evaluate our approach for online trajectory planning of multiple networked vehicles in simulations and experiments.
Clinical Cognitive Sciences
Authors: Pluck Graham , Ariyabuddhiphongs Kris 
Published: August 2024

AbstractClinical sciences involved with the mind and brain, including neurology, psychiatry, endocrinology and clinical psychology all frequently deal with cognitive symptoms, side effects, and risk factors. Consequently, there has long been some interaction between those clinical fields and traditional cognitive sciences, focused on computationalist and embodied approaches to understanding natural and machine cognition. Examples include the advances made in understanding the normal cognitive architecture made by studying its breakdown in disease, as well as the enhanced methods of defining and measuring cognitive disorders stemming from understanding the healthy state. Nevertheless, the fields currently fail to fully exploit the potential for mutual advancement. Here we explore the interactions between traditional clinical and cognitive sciences and highlighted strengths of the relationship, and areas that could benefit from greater multidisciplinary emphasis. We argue that original fields of cognitive science (philosophy, linguistics, computer science, anthropology, psychology and neuroscience) remain the core of the multidisciplinary cognitive sciences, but that they can all be applied fruitfully to clinical issues. We explore this in one sample disorder—voice hearing in schizophrenia, showing the potential for clinically applied cognitive sciences. It is our contention that greater achievement is possible, in both academic and applied fields dealing with cognition, if we can foster a mutually symbiotic relationship between the clinical and cognitive sciences.
Stressful life events and tinnitus
Authors: McKenna Laurence , Vogt Florian 
Published: August 2024

Abstract
The role of life events has not been extensively studied in the context of tinnitus. There is, however, evidence about the psychological impact of tinnitus and about the influence of psychological processes as mediators of the tinnitus experience. On the basis of this evidence, the possibility that stressful life events can act as a trigger for tinnitus is discussed; although the evidence is fragmentary and indirect, the possibility cannot be discounted. It is argued that the onset of tinnitus and the associated clinical encounters can constitute an acute stressful life event, and the ongoing experience of tinnitus can be regarded as a chronic stressful life event. Interactions between ongoing tinnitus and other life events are discussed. Possible mechanisms in terms of stress influencing predictive processing and signal detection judgments are considered.
A novel pharmacological strategy using nanoparticles with glutathione and virgin coconut oil to treat gentamicin-induced acute renal failure in rats
Authors: Sabra Mahmoud S. , Allam Essmat A. H. , El-Aal Mohamed Abd , Hassan Nessma H. , Mostafa Al-Hassan Mohammed , Ahmed Ahmed A. N. 
Published: August 2024

Abstract
In acute renal failure (ARF), the glomerular filtration rate is reduced, and nitrogenous waste products accumulate persistently, which can last anywhere from a few hours to several days. There is hope for a reversal of the rapid loss of renal function caused by this condition. This study, with gentamicin-induced acute ARF as a prospective setting, sets out to examine the reno-protective benefits of virgin coconut oil (VCO) and GSH. Furthermore, the study evaluated the effect of medication nanoparticle compositions on several kidney function markers. The induction of ARF is achieved with the intraperitoneal injection of gentamicin. To assess renal function, rats underwent 24 h of dehydration and hunger before their deaths. The study examined various aspects, including kidney function tests, markers of oxidative stress, histology of kidney tissue, inflammatory cytokines, immunohistochemistry expression of nuclear factor-kappa B (NF-κB), and specific biomarkers for kidney tissue damage, such as kidney injury molecule-1 (KIM-1) and neutrophil gelatinase–associated lipocalin (NGAL). The results of our study indicated that the combination of VCO and GSH, using both regular and nanoparticle formulations, had a better protective impact on the kidneys compared to using either drug alone. The recovery of renal tissue and serum markers, which are symptomatic of organ damage, indicates improvement. This was also demonstrated by the reduction in tubular expression of TNF-α, IL-1β, KIM-1, and NGAL. The immunohistochemical studies showed that the combination therapy, especially with the nanoforms, greatly improved the damaged cellular changes in the kidneys, as shown by higher levels of NF-κB. The study shows that VCO and GSH, when administered individually or combined, significantly improve ARF in a gentamicin-induced rat model, highlighting potential therapeutic implications. Notably, the combined nanoparticulate formulations exhibit substantial effectiveness.
Monopolar versus bipolar transurethral resection of bladder Tumour: post-hoc analysis of a prospective trial
Authors: Wong Chris Ho-Ming , Lim Joycelyn Yung-Yung , Ko Ivan Ching-Ho , Leung David Ka-Wai , Yuen Steffi Kar-Kei , Yip Siu-Ying , Ng Chi-Fai , Teoh Jeremy Yuen-Chun , Chan Eddie Shu-Yin 
Published: August 2024

Abstract
Introduction
Previously, in a randomised trial we demonstrated bipolar transurethral resection of bladder tumor (TURBT) could achieve a higher detrusor sampling rate than monopolar TURBT. We hereby report the long-term oncological outcomes following study intervention.

Methods
This is a post-hoc analysis of a randomized phase III trial comparing monopolar and bipolar TURBT. Only patients with pathology of non-muscle invasive bladder cancer (NMIBC) were included in the analysis. Per-patient analysis was performed. Primary outcome was recurrence-free survival (RFS). Secondary outcomes included progression-free survival (PFS), cancer-specific survival (CSS) and overall survival (OS).

Results
From the initial trial, 160 cases were randomised to receive monopolar or bipolar TURBT. 24 cases of non-urothelial carcinoma, 22 cases of muscle-invasive bladder cancer, and 9 cases of recurrences were excluded. A total of 97 patients were included in the analysis, with 46 in the monopolar and 51 in the bipolar group. The median follow-up was 97.1 months. Loss-to-follow-up rate was 7.2%. Regarding the primary outcome of RFS, there was no significant difference (HR = 0.731; 95%CI = 0.433–1.236; P = 0.242) between the two groups. PFS (HR = 1.014; 95%CI = 0.511–2.012; P = 0.969), CSS (HR = 0.718; 95%CI = 0.219–2.352; P = 0.584) and OS (HR = 1.135; 95%CI = 0.564–2.283; P = 0.722) were also similar between the two groups. Multifocal tumours were the only factor that was associated with worse RFS.

Conclusion
Despite the superiority in detrusor sampling rate, bipolar TURBT was unable to confer long-term oncological benefits over monopolar TURBT.