bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oxidation Behavior of a Novel Nickel-Based Alloy in Air and Steam at 1273 K for the Oxygen–Hydrogen Combustion Chamber
Authors: Latif Abdul , Ueda Mitsutoshi , Takeyama Masao 
Published: August 2024

AbstractAs part of advancing oxygen–hydrogen combustion power generation technology, a study was carried out to evaluate the oxidation behavior of a novel developed Ni–Cr–W alloy as the structural material candidate. Tungsten is utilized in the alloy as a solid solution-strengthened element and as an α2-W precipitate former. The examination involved exposing the developed alloy and commercial alloys, Hastelloy X and Nimonic 263, to air and steam environments at 1273 K. The results show a different oxidation behavior of the developed alloy. Considering the air oxidation kinetics, the performance of the developed alloy was on par with that of Hastelloy X and superior to Nimonic 263. A single outer chromia scale was established with an intergranular oxide. Whereas steam exposure resulted in the formation of outer and inner chromia scales with a deeper intergranular oxide penetration. Thicker chromia formation with a lower mass gain indicates the evaporation of chromia under a steam atmosphere.
Using protein–metabolite interactions to identify novel plant metabolite receptors
Authors: Fischer Hillary D. , Fernie Alisdair , Skirycz Aleksandra 
Published: August 2024

Abstract
An increasing interest in plant protein–metabolite interactions has occurred in the past decade due to advancements in technology and methodology. Metabolite receptors especially are of great importance in plant research due to their role in cell signaling for the regulation of growth and development and environmental sensing. Energy, carbon, and nitrogen signaling through AMPK/SNF1/SnRK1, TOR, and PII receptors are core components conserved across Kingdoms of Life and what is known in plants often came first from study in non-plant systems. In contrast, known phytohormone receptors are relatively distinct to plants and identified within a plant system. Therefore, this review will give an update on known plant receptors for energy, carbon, and nitrogen signaling as well as phytohormones, focusing on the detection methods used to provide our current understanding of their function in the plant. Finally, it will address emerging strategies for identifying protein–metabolite interactions to discover novel plant receptors.
Sleep conditions and sleep hygiene behaviors in early pregnancy are associated with gestational diabetes mellitus: A propensity-score matched study
Authors: Ma Guojun , Cai Yanqing , Zhang Yong , Fan Jianxia 
Published: August 2024

Abstract
Purpose
To explore the influence of sleep conditions and sleep hygiene behaviors in early pregnancy on gestational diabetes mellitus (GDM) development.

Methods
This 1:1 propensity-score matched study included 1,216 pregnant women divided into GDM and control groups based on diagnosis via the oral glucose tolerance test at 24–28 gestational weeks. Sleep conditions and hygiene behaviors were evaluated using structural questionnaires, including the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and Sleep Hygiene Practice Scale. Univariate and multivariate logistic regression analyses and Spearman’s correlation were conducted to identify the associations.

Results
After adjusting for baseline clinical characteristics, women with GDM were more likely to have poor sleep quality (adjusted odds ratio [AOR] = 1.585, 95% confidence interval [CI]: 1.261–1.992) and higher scores for subjective sleep quality, latency, duration, efficiency, and sleep disturbances (all P < 0.01). Mild sleepiness (AOR = 1.311, 95% CI: 1.012–1.699) and worrying about not being able to fall asleep (AOR = 1.123, 95% CI: 1.005–1.255) were more likely to occur in the GDM group. Sleep quality and hygiene behaviors such as sleep-irrelevant activities, staying in bed after waking up, weekend catch-up sleep, and overeating before bedtime were significantly correlated with gestational diabetes variables.

Conclusion
Poor sleep conditions and specific sleep hygiene behaviors in early pregnancy may be independent risk factors for GDM. This suggests that sleep assessment and behavior education can be used as new approaches for the early implementation of surveillance and prevention of GDM.
Oxygen-Based Autoregulation Indices Associated with Clinical Outcomes and Spreading Depolarization in Aneurysmal Subarachnoid Hemorrhage
Authors: Carlson Andrew P. , Jones Thomas , Zhu Yiliang , Desai Masoom , Alsarah Ali , Shuttleworth C. William 
Published: August 2024

Abstract
Background
Impairment in cerebral autoregulation has been proposed as a potentially targetable factor in patients with aneurysmal subarachnoid hemorrhage (aSAH); however, there are different continuous measures that can be used to calculate the state of autoregulation. In addition, it has previously been proposed that there may be an association of impaired autoregulation with the occurrence of spreading depolarization (SD) events.

Methods
Study participants with invasive multimodal monitoring and aSAH were enrolled in an observational study. Autoregulation indices were prospectively calculated from this database as a 10 s moving correlation coefficient between various cerebral blood flow (CBF) surrogates and mean arterial pressure (MAP). In study participants with subdural electrocorticography (ECoG) monitoring, SD was also scored. Associations between clinical outcomes using the modified Rankin scale and occurrence of either isolated or clustered SD were assessed.

Results
A total of 320 study participants were included, 47 of whom also had ECoG SD monitoring. As expected, baseline severity factors, such as modified Fisher scale score and World Federation of Neurosurgical Societies scale grade, were strongly associated with the clinical outcome. SD probability was related to blood pressure in a triphasic pattern, with a linear increase in probability below MAP of ~ 100 mm Hg. Multiple autoregulation indices were available for review based on moving correlations between mean arterial pressure (MAP) and various surrogates of cerebral blood flow (CBF). We calculated the pressure reactivity (PRx) using two different sources for intracranial pressure (ICP). We calculated the oxygen reactivity (ORx) using the partial pressure of brain tissue oxygen (PbtO2) from the Licox probe. We calculated the cerebral blood flow reactivity (CBFRx) using perfusion measurements from the Bowman perfusion probe. Finally, we calculated the cerebral oxygen saturation reactivity (OSRx) using regional cerebral oxygen saturation measured by near-infrared spectroscopy from the INVOS sensors. Only worse ORx and OSRx were associated with worse clinical outcomes. Both ORx and OSRx also were found to increase in the hour prior to SD for both sporadic and clustered SD.

Conclusions
Impairment in autoregulation in aSAH is associated with worse clinical outcomes and occurrence of SD when using ORx and OSRx. Impaired autoregulation precedes SD occurrence. Targeting the optimal MAP or cerebral perfusion pressure in patients with aSAH should use ORx and/or OSRx as the input function rather than intracranial pressure.
Dynamics Behaviours of Kink Solitons in Conformable Kolmogorov–Petrovskii–Piskunov Equation
Authors: Ullah Ikram , Shah Kamal , Abdeljawad Thabet , Alam Mohammad Mahtab , Hendy Ahmed S. , Barak Shoaib 
Published: August 2024

AbstractThe current study introduces the generalised New Extended Direct Algebraic Method (gNEDAM) for producing and examining propagation of kink soliton solutions within the framework of the Conformable Kolmogorov–Petrovskii–Piskunov Equation (CKPPE), which entails conformable fractional derivatives into account. The primary justification around employing conformable derivatives in this study is their special ability to comply with the chain rule, allowing for in the solution of aimed nonlinear model. The CKPPE is a crucial model for a number of disciplines, such as mathematical biology, reaction-diffusion mechanisms, and population increase. CKPPE is transformed into a Nonlinear Ordinary Differential Equation by the proposed gNEDAM, and many kink soliton solutions are found by applying the series form solution. These kink soliton solutions shed light on propagation mechanisms within the framework of the CKPPE model. Furthermore, our research offers multiple graphical depictions that facilitate the examination and analysis of the propagation patterns of the identified kink soliton solutions. Through the integration of mathematical biology and reaction-diffusion principles, our research broadens our comprehension of intricate occurrences in various academic domains.
The game management framework for sports refereeing: a structured perspective on officiating performance and its development
Authors: Hoffmann Theresa , MacMahon Clare , Brand Ralf 
Published: August 2024

AbstractThe Game Management Framework for Sports Refereeing (GMFSR) provides a comprehensive and novel approach to understanding the performance of on-field interactor referees in competitive sports. It highlights key performance factors and focuses on the holistic integration of essential elements. According to the GMFSR, officiating performance is based on a referee’s embodied concepts: rules, laws and regulations and game knowledge; contextual judgment; physical fitness, positioning, and signaling; and dynamic communication and arbitration. These elements underpin the four skills of administering the game, decision-making, creating presence, and guiding the game, which together make up a referee’s game management competency. In addition, the framework emphasizes the importance of a referee mindset, stressing the influence of personal attributes and adaptive strategies on overall performance. Developed by integrating empirical evidence, different conceptual and theoretical perspectives, and expert knowledge from academia and practice, the GMFSR aims to provide a comprehensive foundation on which to stimulate ideas for the education and training of referees. It is hoped that by considering all elements of the GMFSR at the novice level and developing them throughout a referee’s career, it will provide holistic yet focused training, and serve as a valuable resource for future research.
Normen beim Argumentieren mit Darstellungen – Analyse orientierender Referenzkontexte
Authors: Söbbeke Elke 
Published: August 2024

Zusammenfassung
Normen spielen beim Argumentieren mit Darstellungen eine zentrale Rolle. Ein Anliegen der interpretativen mathematikdidaktischen Forschung ist es, die interaktive Aushandlung fachspezifischer Normen aus Sicht der Lernenden zu rekonstruieren. Um diese komplexen Aushandlungsprozesse zwischen verschiedenen Beteiligten untersuchen zu können, bedarf es zunächst eines besseren Verstehens auf der Mikroebene. Der vorliegende Artikel adressiert dieses Forschungsdesiderat exemplarisch für das Argumentieren von Grundschulkindern mit Punktdarstellungen im Kontext von Parität. Zur theoretischen und empirisch basierten Klärung verknüpft der Beitrag zwei verschiedenen Perspektiven des Forschungsfeldes: Eine fachspezifisch-theoretische Perspektive und eine fachspezifisch-empirisch-interaktionistische Perspektive auf Normen. Die Analyse der empirischen Fallstudien zeichnet die situativ orientierenden Bezugnahmen in den Argumentationen der Kinder nach und reflektiert Bezüge zu grundlegenden fachspezifisch-theoretischen Normen.
The Impact of Hesperidin on Cognitive Deficit and Neurobehavioural Disorders: A Systematic Review and Meta-Analysis of Preclinical Individual Studies
Authors: Olasehinde Tosin A. , Ekundayo Temitope C. , Ijabadeniyi Oluwatosin A. , Olaniran Ademola O. 
Published: August 2024

AbstractPurpose of Review Experimental evidence suggests that flavonoids prevent neurodegeneration and improves cognitive function. In this study, we systematically reviewed the effect of hesperidin on cognitive deficits and neurobehavioural outcomes in in vivo studies.Recent Findings: A systematic search of PubMed, EBSCOhost, Web of Science, Scopus and ProQuest was conducted. Meta-analysis was performed on the effect of hesperidin on cognitive and neurobehavioural parameters (Morris Water Maze, Y-Maze, elevated plus maze, rotarod test, locomotion activity, passive avoidance test, open field test and forced swimming test). The mixed effect model was used to compute the standard mean difference (SMD). A total of 1069 documents were retrieved. However, 46 studies were included in the systematic review and meta-analysis. Our findings revealed that hesperidin did not significantly affect cognitive performance in normal rats compared with placebo. Moreover, hesperidin improved memory and learning, sensorimotor function and locomotion activity in cognitive impaired rats. Hesperidin did not show any significant effect on anxiety-related outcomes in the diseased model.Summary: Hesperidin improved cognitive function and neurocognitive effects could be associated with its neuroprotective effects against neuroinflammation, oxidative stress-induced neuronal damage, inhibition of cholinergic deficit and mitochondrial dysfunction. These results correlate with available scientific evidence on the effect of hesperidin on cognitive dysfunction and neurobehavioural deficits in cognitive-impaired rats.
Highly Sensitive Ammonia Gas Sensors at Room Temperature Based on the Catalytic Mechanism of N, C Coordinated Ni Single-Atom Active Center
Authors: Quan Wenjing , Shi Jia , Zeng Min , Lv Wen , Chen Xiyu , Fan Chao , Zhang Yongwei , Liu Zhou , Huang Xiaolu , Yang Jianhua , Hu Nantao , Wang Tao , Yang Zhi 
Published: August 2024

AbstractSignificant challenges are posed by the limitations of gas sensing mechanisms for trace-level detection of ammonia (NH3). In this study, we propose to exploit single-atom catalytic activation and targeted adsorption properties to achieve highly sensitive and selective NH3 gas detection. Specifically, Ni single-atom active sites based on N, C coordination (Ni–N–C) were interfacially confined on the surface of two-dimensional (2D) MXene nanosheets (Ni–N–C/Ti3C2Tx), and a fully flexible gas sensor (MNPE–Ni–N–C/Ti3C2Tx) was integrated. The sensor demonstrates a remarkable response value to 5 ppm NH3 (27.3%), excellent selectivity for NH3, and a low theoretical detection limit of 12.1 ppb. Simulation analysis by density functional calculation reveals that the Ni single-atom center with N, C coordination exhibits specific targeted adsorption properties for NH3. Additionally, its catalytic activation effect effectively reduces the Gibbs free energy of the sensing elemental reaction, while its electronic structure promotes the spill-over effect of reactive oxygen species at the gas–solid interface. The sensor has a dual-channel sensing mechanism of both chemical and electronic sensitization, which facilitates efficient electron transfer to the 2D MXene conductive network, resulting in the formation of the NH3 gas molecule sensing signal. Furthermore, the passivation of MXene edge defects by a conjugated hydrogen bond network enhances the long-term stability of MXene-based electrodes under high humidity conditions. This work achieves highly sensitive room-temperature NH3 gas detection based on the catalytic mechanism of Ni single-atom active center with N, C coordination, which provides a novel gas sensing mechanism for room-temperature trace gas detection research.
Traffic Noise Affects Brazilian Mundo Novo Treefrog Calling Behavior
Authors: Antunes Rógger L. T. , Borges-Martins Márcio , Guagliumi Giorgia , Zaffaroni-Caorsi Valentina 
Published: August 2024

AbstractAnthropogenic disturbance, including noise, is a major cause of biodiversity decline worldwide. Especially in anurans, the effect of noise pollution is known to have major consequences on their reproduction since acoustic communication is an essential part of this process. In this study, we tested the effect of three levels of traffic noise (55 dB, 65 dB, and 75 dB) corresponding to three different distances from the road (200, 100, and 50 m, respectively) on the Brazilian Mundo Novo treefrog (Boana marginata). The results of the playback experiments showed an effect on call type B. More specifically, there was a decrease in the advertisement call rate, a reduction in the number of pulses, and a lengthening of the interval between pulses, particularly at 65 dB. These findings suggest that at distances of up to 100 m, the masking effect significantly influences acoustic communication on the species. However, a 55 dB stimulus—equal to 200 m from the road edge—did not change the call in this species, suggesting a minimal distance to implement noise-inflicting infrastructures. We recommend that new studies adopt sampling methods from this distance to refine the threshold of the traffic noise effect.
Surface roughness reduction in electron beam powder bed fusion additive manufacturing of super duplex stainless steel 2507: investigating optimisation techniques and face orientation-dependent irregularities
Authors: Roos Stefan , Rännar Lars-Erik 
Published: August 2024

AbstractThe use of additive manufacturing in metals by powder bed fusion via electron beam (PBF-EB) is increasing for fabricating high-quality parts meeting industrial standards. However, high surface roughness poses a consistent challenge in PBF-EB. This study investigates two novel approaches to optimise surface roughness for a given machine and powder combination. Using machine control software’s recently introduced research mode functionality, we develop customised beam control code to effectively explore a vast parameter space. Additionally, we explored the impact of beam travel direction and spot morphology on surface roughness. Line-melt-based contours were explored by specimen manufacturing with layer-wise parameter change, whilst spot-melting-based samples were built using a full factorial design of experiments with four factors at three levels. Initial sample characterisation was done using a stylus-based contact profilometer, followed by detailed evaluation using focus variation microscopy. Results reveal that increasing beam power and spot energy exacerbate surface roughness. We also find that a well-defined energy distribution at the spot's edge contributes to smoother surfaces. Whilst the influence of beam travel direction on surface roughness remains uncertain, our findings underscore the importance of parameter selection in achieving optimal results. By adjusting contouring parameters, we achieve a vertical roughness of Ra17.7 ± 0.9 (Sa 21.6), significantly lower than in the current literature. These findings advance our understanding of surface roughness optimisation in PBF-EB and offer practical insights for improving part quality in industrial applications. By harnessing tailored beam control strategies, manufacturers can enhance the capabilities of additive manufacturing technologies in producing metal components.
Blind Game: An Interactive Installation About How We Can Exorcise Memories of a Visual Disability
Authors: Gouveia Patrícia , Lima Luciana 
Published: August 2024

AbstractIn this paper, we recover an interactive artwork developed by one of the authors to provide possible ways of inserting the playful and artistic perspective into augmented human studies. In this way, a perspective based on play and interactive digital fiction can inspire us to look at other ways of using digital technologies that focus on improving human capabilities. The interactive installation Blind Game brings us a personal, visual, and playful perspective of a person who, at the age of three years, was diagnosed with amblyopia, revealing the subjective world of the character P.. Created in 2001, this installation was an interactive conceptual artwork developed by a young artist who wanted to exorcise the memories of her diagnosis of amblyopia and the tensions caused by the political instability in her home country. Through interaction and playful strategies, the artist sought to abstract herself from the reality around her, reorganizing her subjective relationship with visual impairment and the political tensions of a transition period between a dictatorial government and a democratic one.
On the Impact of Input Models on the Fault Detection Capabilities of Combinatorial Testing
Authors: Baumann Carmen , Koroglu Yavuz , Wotawa Franz 
Published: August 2024

AbstractTesting is an important activity to detect faults before software deployment. We focus on black-box combinatorial testing, where fault detection is one of the main objectives. In this paper, we argue that input model abstraction notably impacts the fault detection capability of a combinatorial test suite. First, we present experiments from previous work that support this argument. We then perform new experiments on a more diverse set of programs. These experiments use mutation testing to estimate fault detection capability, but we also include structural coverage measures in the new experiments. Finally, we elaborate on two possible improvements to obtain an optimal input abstraction strategy for not just continuous but all input domains. Both experiments suggest that input abstraction affects the fault detection capability. We claim that the improvements will produce a better input abstraction with which we can achieve better fault detection capability without increasing the test suite size.
Modeling the Progression of Haematocrit Level over Time
Authors: Teklezgi Mehari Gebre , Asres Abebech Abera , Matope Agnes , Dabale Gutu Adugna 
Published: August 2024

AbstractHaematocrit Levels is defined as the proportion, by volume, of the blood that consists of red blood cells. This study was conducted to model the progress of haematocrit levels over time in kidney patients after their transplant and to determine how the progress depends on the age and gender of the patient and other factors. This is a longitudinal study, and haematocrit level was considered as a response while the covariates were time, gender, age, cardio-vascular problem during the years preceding the transplantation, and rejection symptoms during the first three months after the transplantation took place of the patients. Different statistical methods such as, multivariate regression model, two stage analysis and linear mixed effects model were employed to explore the progress of haematocrit over time. Models revealed that haematocrit levels in kidney transplant patients evolve over time. Gender and Age of the patient have significant effect on the evolution of haematocrit levels. Males tend to have a high increase in haematocrit levels over time than females. With regards to age, haematocrit levels tend to increase with increasing age. Moreover, it was observed that experience of cardio-vascular problems before trandplant and rejection symptoms did not have a significant effect on the progress of haematicrit levels. The growth of Haematocrit levels evolve over time follows a quartic time effect. Change in haematocrit levels varies according to gender and age of the patient. Patients starting with low haematocrit levels tend to have a larger increase over time.
Superconductivity and topological quantum states in two-dimensional moiré superlattices
Authors: Zheng Chuanqi , Liu Xiaoxue 
Published: August 2024

AbstractMoiré superlattices have emerged as an excellent platform for investigating a plethora of exotic quantum states in condensed matter physics. Recent advancements have unveiled abundant discoveries in two-dimensional moiré superlattices. In this paper, we will present a review of the recent progresses in superconductivity and topological physics within graphene and transition metal dichalcogenides-based moiré superlattices. Additionally, we outline future potential challenges and desirable efforts for discovering, understanding, and controlling these novel states in two-dimensional moiré superlattices.