bluuebunny/crossref_metadata_2025_split huggingface dataset:
Macroscopic trends of linear tearing stability in cylindrical current profiles
Authors: Benjamin S , Clauser C , Rea C , Sweeney R , Kumar A , Marmar E 
Published: May 2024

AbstractThe likelihood of realising tokamak power-plants will be greatly improved by the discovery of high-gain equilibria that resist the formation of small islands and hence avoid the disruptive neoclassical tearing mode. We propose a series of studies to understand how simple tokamak design can leverage aspects of tearing onset physics to maximise passive resistance to island formation. Here we investigate the variation that current profiles can bring about in preventing tearing onset through the cylindrical linear tearing stability parameterΔ′. A database of 159148 realistic pilot-plant current profiles was generated with Monte Carlo sampling, and the distribution ofΔ′values was linked with interpretable profile characteristics. In agreement with prior theoretical and experimental studies,Δ′was found to be strongly correlated with the existence and steepness of a local toroidal current well or hill, with the former destabilising and the latter stabilising. In the absence of these two cases, the remainingΔ′values were linearly bounded by the toroidal current gradient at the rational surface.
Spontaneous and tunable valley polarization in two-dimensional single-layer LaCl2
Authors: Liu Hengbo , Li Jia , Tian Jianke , Li Yan , Shi Junjie 
Published: May 2024

Abstract
Applying the valley contrasting properties of valleytronic materials to logical operations is the foundation of valleytronic device manufacturing. It is predicted that single-layer (SL) LaCl2 is an ferrovalley material with intrinsic and tunable valley polarization through first-principles calculations. It is a ferromagnetic semiconductor (bandgap 0.767 eV) with roughly 1.0 μ
B per unit cell as well as out of plane magnetization, and the Curie temperature is about 149 K. The tight-binding model considering five orbitals as well as next nearest neighboring hopping get a consistent band structure with the first-principles calculation. The valley polarization changes from 40.49 to 98.51 meV under the biaxial strain of 5% ∼ −5%. Therefore, the biaxial strain can be a means to tune the valley polarization. In addition, the valley polarization of the double-layer (DL) structure (∼80 meV) is much greater than that of the SL structure (∼59 meV) due to the increased magnetic moment of the DL structure, indicating the potential tunable character by stacking few layers. We believe that SL LaCl2 has great potential for device manufacturing and application in the field of valley electronics.
Design on thermal-mechanism coordination for binding reinforcing mesh based on shape memory polymer
Authors: Gu Xilong , Yin Haibin , Liu Bei , Chen Xi , Chen Weiping , Zhang Haiquan 
Published: May 2024

Abstract
The traditional rebar binding devices require complex drive and transmission mechanisms, which leads to large volume and complex structure. In this paper, a cylindrical thermoplastic shape memory polymer (SMP) fixture is proposed to verify the rebar binding method of thermal-mechanism coordination. The SMP fixture is manufactured by the injection molding technology through selecting suitable-ratio Polylactic acid and Polycaprolactone (PCL) blend materials. Besides, an additional auxiliary device is presented to overcome the incomplete recovery disadvantage existing in the thermoplastic SMP and completely achieve binding the rebar. On this base, two different binding methods are proposed to compare the mechanical performance after fixing the rebar, and the external force/thermal contributions are tested and discussed in detail. The tested results show that the binding contribution of heat could reach 70% while the binding contribution of external force could reach 30% above the transition temperature (Tg
). The maximum tensile force that the binding rebar can withstand under the thermal-mechanism coordination action could reach up to 657.7 N, which is higher than the maximum tensile force of the wire binding. In addition, the maximum friction force between rebar and notches of fixture could reach up to 94.1 N, which further verifies the feasibility of thermal-mechanism coordination for binding reinforcing mesh based on SMP fixture.
Estimation of magnetic levitation and lateral forces in MgB2 superconducting bulks with various dimensional sizes using artificial intelligence techniques
Authors: Alipour Bonab Shahin , Xing Yiteng , Russo Giacomo , Fabbri Massimo , Morandi Antonio , Bernstein Pierre , Noudem Jacques , Yazdani-Asrami Mohammad 
Published: May 2024

Abstract
The advent of superconducting bulks, due to their compactness and performance, offers new perspectives and opportunities in many applications and sectors, such as magnetic field shielding, motors/generators, NMR/MRI, magnetic bearings, flywheel energy storage, Maglev trains, among others. The investigation and characterization of bulks typically relies on time-consuming and expensive experimental campaigns; hence the development of effective surrogate models would considerably speed up the research progress around them. In this study, we first produced an experimental dataset containing the levitation and lateral forces between different MgB2 bulks and one permanent magnet under different operating conditions. Next, we have exploited the dataset to develop surrogate models based on Artificial Intelligence (AI) techniques, namely Extremely Gradient Boosting, Support Vector Regressor (SVR), and Kernel Ridge Regression. After the tuning of the hyperparameters of the AI models, the results demonstrated that SVR is the superior technique and can predict levitation and lateral forces with a worst-case accuracy scenario 99.86% in terms of goodness of fit to experimental data. Moreover, the response time of these models for the estimation of new datapoints is ultra-fast.
Anomalous diffusion, prethermalization, and particle binding in an interacting flat band system
Authors: Daumann Mirko , Dahm Thomas 
Published: May 2024

Abstract
We study the broadening of initially localized wave packets in a quasi one-dimensional diamond ladder with interacting, spinless fermions. The lattice possesses a flat band causing localization. We place special focus on the transition away from the flat band many-body localized case by adding very weak dispersion. By doing so, we allow propagation of the wave packet on significantly different timescales which causes anomalous diffusion. Due to the temporal separation of dynamic processes, an interaction-induced, prethermal equilibrium becomes apparent. A physical picture of light and heavy modes for this prethermal behavior can be obtained within Born–Oppenheimer approximation via basis transformation of the original Hamiltonian. This reveals a detachment between light, symmetric and heavy, anti-symmetric particle species. We show that the prethermal state is characterized by heavy particles binding together mediated by the light particles.
Inferring to cooperate: Evolutionary games with Bayesian inferential strategies
Authors: Patra Arunava , Sengupta Supratim , Paul Ayan , Chakraborty Sagar 
Published: May 2024

Abstract
Strategies for sustaining cooperation and preventing exploitation by selfish agents in repeated games have mostly been restricted to Markovian strategies where the response of an agent depends on the actions in the previous round. Such strategies are characterized by lack of learning. However, learning from accumulated evidence over time and using the evidence to dynamically update our response is a key feature of living organisms. Bayesian inference provides a framework for such evidence-based learning mechanisms. It is therefore imperative to understand how strategies based on Bayesian learning fare in repeated games with Markovian strategies. Here, we consider a scenario where the Bayesian player uses the accumulated evidence of the opponent’s actions over several rounds to continuously update her belief about the reactive opponent’s strategy. The Bayesian player can then act on her inferred belief in different ways. By studying repeated Prisoner’s dilemma games with such Bayesian inferential strategies, both in infinite and finite populations, we identify the conditions under which such strategies can be evolutionarily stable. We find that a Bayesian strategy that is less altruistic than the inferred belief about the opponent’s strategy can outperform a larger set of reactive strategies, whereas one that is more generous than the inferred belief is more successful when the benefit-to-cost ratio of mutual cooperation is high. Our analysis reveals how learning the opponent’s strategy through Bayesian inference, as opposed to utility maximization, can be beneficial in the long run, in preventing exploitation and eventual invasion by reactive strategies.
Effect of Baculovirus oryctes concentration on mortality of Oryctes rhinoceros L.
Authors: Fauzana H , Rahman A 
Published: May 2024

Abstract
One of the key plantation crops in Indonesia, particularly in the expanding Riau region, is oil palm (Elaeis guineensis Jacq.). The frequent attacks by Rhinoceros beetles (Oryctes rhinoceros), are the greatest barrier to oil palm development in Riau region. Integrated Pest Management (IPM), which puts an emphasis on ecologically friendly controls one of which uses the entomopathogen Baculovirus oryctes, is the preferred control strategy. This study sought to determine the optimal suspension concentration of Baculovirus oryctes infected larvae on the mortality of the Oryctes rhinoceros beetle. The treatment given was concentration of Baculovirus oryctes suspension of, 0 ml.500 ml−1 water (0 x 106 PIBs.ml−1), 40 ml.500 ml−1 water (6 x 106 PIBs.ml−1), 50 ml.500 ml−1 water (7.6 x 106 PIBs.ml−1), 60 ml.500 ml−1 water (9.3 x 106 PIBs.ml−1) and 70 ml.500 ml−1 water (9.6 x 106 PIBs.ml−1). The results showed that the suspension concentration of 70 ml.500 ml−1 water (9.6 x 106 PIBs/ml) is the best trend concentration because it generates the fastest initial time of death which is 180 hours, lethal time 50 for 288 hours after application and total mortality of 70.83%. The conclusion is that Baculovirus oryctes can be used to kill rhinoceros beetle Oryctes rhinoceros best at a concentration of 70 ml.500 ml−1 water (9.6 x 106 PIBs ml−1).
Development and Validation of a Composite Skin Quality Scale
Authors: Gold Michael , Lorenc Z Paul , Bass Lawrence S , Bank David , Downie Jeanine , Bellia Gilberto , Giori Andrea , Grimolizzi Franco 
Published: May 2024

Abstract

Background
The increasing demand for skin quality interventions in aesthetic medicine underscores the necessity for objective, evidence-based assessment tools that may be used to evaluate novel interventions or devices.

Objectives
To develop and validate a 5-point photonumeric rating scale for assessing overall skin quality, including radiance, color evenness, and smoothness.

Methods
The IBSA (Institut Biochimique SA) Composite Skin Quality Scale was developed and underwent live validation with 88 real-world patients, chosen to encompass a broad spectrum of skin qualities and Fitzpatrick skin types. Scale validation was performed by board-certified plastic surgeons and dermatologists over 2 rounds, 2 weeks apart. Reliability was assessed through intrarater and interrater agreements, utilizing weighted kappa statistics and intraclass correlation coefficient (ICC). The scale’s ability to discern a clinically relevant 1-grade difference was evaluated with 72 photo pairs.

Results
Combined intrarater reliability results showed weighted kappa values of 0.812 (right side) and 0.815 (left side) and an ICC of 0.903 for both sides, indicating an almost perfect agreement. Interrater reliability ranged from substantial to almost perfect, with kappa coefficients between 0.654 and 0.853 and ICCs between 0.657 and 0.855 across all rater pairs in both rounds. The ability to detect a clinically relevant 1-point difference using the scale was established.

Conclusions
Integrating various key aspects of skin quality, the IBSA Composite Skin Quality Scale is a clinically relevant and highly reliable tool, suitable for skin assessment in clinical studies of new aesthetic technologies and products.

Level of Evidence: 3
Tracing conflict-induced cognitive-control adjustments over time using aperiodic EEG activity
Authors: Jia Shiwei , Liu Dandan , Song Wenqi , Beste Christian , Colzato Lorenza , Hommel Bernhard 
Published: May 2024

Abstract
Cognitive-control theories assume that the experience of response conflict can trigger control adjustments. However, while some approaches focus on adjustments that impact the selection of the present response (in trial N), other approaches focus on adjustments in the next upcoming trial  (N + 1). We aimed to trace control adjustments over time by quantifying cortical noise by means of the fitting oscillations and one over f algorithm, a measure of aperiodic activity. As predicted, conflict trials increased the aperiodic exponent in a large sample of 171 healthy adults, thus indicating noise reduction. While this adjustment was visible in trial N already, it did not affect response selection before the next trial. This suggests that control adjustments do not affect ongoing response-selection processes but prepare the system for tighter control in the next trial. We interpret the findings in terms of a conflict-induced switch from metacontrol flexibility to metacontrol persistence, accompanied or even implemented by a reduction of cortical noise.
Stimulating prefrontal cortex facilitates training transfer by increasing representational overlap
Authors: Wards Yohan , Ehrhardt Shane E , Garner Kelly G , Mattingley Jason B , Filmer Hannah L , Dux Paul E 
Published: May 2024

Abstract
A recent hypothesis characterizes difficulties in multitasking as being the price humans pay for our ability to generalize learning across tasks. The mitigation of these costs through training has been associated with reduced overlap of constituent task representations within frontal, parietal, and subcortical regions. Transcranial direct current stimulation, which can modulate functional brain activity, has shown promise in generalizing performance gains when combined with multitasking training. However, the relationship between combined transcranial direct current stimulation and training protocols with task-associated representational overlap in the brain remains unexplored. Here, we paired prefrontal cortex transcranial direct current stimulation with multitasking training in 178 individuals and collected functional magnetic resonance imaging data pre- and post-training. We found that 1 mA transcranial direct current stimulation applied to the prefrontal cortex paired with multitasking training enhanced training transfer to spatial attention, as assessed via a visual search task. Using machine learning to assess the overlap of neural activity related to the training task in task-relevant brain regions, we found that visual search gains were predicted by changes in classification accuracy in frontal, parietal, and cerebellar regions for participants that received left prefrontal cortex stimulation. These findings demonstrate that prefrontal cortex transcranial direct current stimulation may interact with training-related changes to task representations, facilitating the generalization of learning.
Test–retest reliability and time-of-day variations of perfusion imaging at rest and during a vigilance task
Authors: Guo Bowen , Mao Tianxin , Tao Ruiwen , Fu Shanna , Deng Yao , Liu Zhihui , Wang Mengmeng , Wang Ruosi , Zhao Weiwei , Chai Ya , Jiang Caihong , Rao Hengyi 
Published: May 2024

Abstract
Arterial spin-labeled perfusion and blood oxygenation level–dependent functional MRI are indispensable tools for noninvasive human brain imaging in clinical and cognitive neuroscience, yet concerns persist regarding the reliability and reproducibility of functional MRI findings. The circadian rhythm is known to play a significant role in physiological and psychological responses, leading to variability in brain function at different times of the day. Despite this, test–retest reliability of brain function across different times of the day remains poorly understood. This study examined the test–retest reliability of six repeated cerebral blood flow measurements using arterial spin-labeled perfusion imaging both at resting-state and during the psychomotor vigilance test, as well as task-induced cerebral blood flow changes in a cohort of 38 healthy participants over a full day. The results demonstrated excellent test–retest reliability for absolute cerebral blood flow measurements at rest and during the psychomotor vigilance test throughout the day. However, task-induced cerebral blood flow changes exhibited poor reliability across various brain regions and networks. Furthermore, reliability declined over longer time intervals within the day, particularly during nighttime scans compared to daytime scans. These findings highlight the superior reliability of absolute cerebral blood flow compared to task-induced cerebral blood flow changes and emphasize the importance of controlling time-of-day effects to enhance the reliability and reproducibility of future brain imaging studies.
Risk of heart failure in inflammatory bowel disease: a Swedish population-based study
Authors: Sun Jiangwei , Yao Jialu , Olén Ola , Halfvarson Jonas , Bergman David , Ebrahimi Fahim , Rosengren Annika , Sundström Johan , Ludvigsson Jonas F 
Published: May 2024

Abstract

Background and Aims
Dysregulation of inflammatory and immune responses has been implicated in the pathogenesis of heart failure (HF). But even if inflammation is a prerequisite for inflammatory bowel disease (IBD), little is known about HF risk in IBD.

Methods
In this Swedish nationwide cohort, patients with biopsy-confirmed IBD were identified between 1969 and 2017 [n = 81 749, Crohn’s disease (CD, n = 24 303), ulcerative colitis (UC, n = 45 709), and IBD-unclassified (IBD-U, n = 11 737)]. Each patient was matched with up to five general population reference individuals (n = 382 190) and IBD-free full siblings (n = 95 239) and followed until 31 December 2019. Flexible parametric survival models estimated the adjusted hazard ratio (aHR) and standardized cumulative incidence for HF, with 95% confidence intervals (CI).

Results
There were 5582 incident HF identified in IBD patients (incidence rate [IR]: 50.3/10 000 person-years) and 20 343 in reference individuals (IR: 37.9) during a median follow-up of 12.4 years. IBD patients had a higher risk of HF than reference individuals (aHR 1.19, 95% CI 1.15–1.23). This increased risk remained significant ≥20 years after IBD diagnosis, leading to one extra HF case per 130 IBD patients until then. The increased risk was also observed across IBD subtypes: CD (IR: 46.9 vs. 34.4; aHR 1.28 [1.20–1.36]), UC (IR: 50.1 vs. 39.7; aHR 1.14 [1.09–1.19]), and IBD-U (IR: 60.9 vs. 39.0; aHR 1.28 [1.16–1.42]). Sibling-controlled analyses showed slightly attenuated association (IBD: aHR 1.10 [1.03–1.19]).

Conclusions
Patients with IBD had a moderately higher risk of developing HF for ≥20 years after IBD diagnosis than the general population.
Evolutionary mechanism for diversity dynamics in technology using a phylogenetic tree approach: directional suggestions for photovoltaic technology
Authors: Park Hayoung , Jeong Dawoon , Lee Jeong-Dong 
Published: May 2024

Abstract
This study investigates the dynamics of diversity within photovoltaic technology by considering the spatial information of technological change. We introduce a phylogenetic tree methodology using an evolutionary perspective for validation at the level of technology genes and functional modules. Our findings show that the photovoltaic technology phylogenetic tree fully describes the technological and industrial histories of photovoltaics. Furthermore, the results imply that diversity is necessary for the evolutionary mechanism to operate and technology integration is the correct direction to pursue.
A non-stressful vision-based method for weighing live lambs
Authors: Riego del Castillo Virginia , Sánchez-González Lidia , Fernández Laura , Rebollar Ruben , Samperio Enrique 
Published: May 2024

Abstract
Accurate measurement of livestock weight is a primary indicator in the meat industry to increase the economic gain. In lambs, the weight of a live animal is still usually estimated manually using traditional scales, resulting in a tedious process for the experienced assessor and stressful for the animal. In this paper, we propose a solution to this problem using computer vision techniques; thus, the proposed procedure estimates the weight of a lamb by analysing its zenithal image without interacting with the animal, which speeds up the process and reduces weighing costs. It is based on a data-driven decision support system that uses RGB-D machine vision techniques and regression models. Unlike existing methods, it does not require walk-over-weighing platforms or special and expensive infrastructures. The proposed method includes a decision support system that automatically rejects those images that are not appropriate to estimate the lamb weight. After determining the body contour of the lamb, we compute several features that feed different regression models. Best results were achieved with Extra Tree Regression ($R^{2}$=91.94%), outperforming the existing techniques. Using only an image, the proposed approach can identify with a minimum error the optimal weight of a lamb to be slaughtered, so as to maximise the economic profit.
Varying primordial state fractions in exo- and endothermic SIDM simulations of Milky Way-mass haloes
Authors: Leonard Aidan , O’Neil Stephanie , Shen Xuejian , Vogelsberger Mark , Rosenstein Olivia , Shangguan Haotian , Teng Yuanhong , Hu Jiayi 
Published: May 2024

ABSTRACT
Self-interacting dark matter (SIDM) is increasingly studied as a potential solution to small-scale discrepancies between simulations of cold dark matter (CDM) and observations. We examine a physically motivated two-state SIDM model with both elastic and inelastic scatterings. In particular, endothermic, exothermic, and elastic scattering have equal transfer cross-sections at high relative velocities ($v_{\rm rel}\gtrsim 400~{\rm km\, s}^{-1})$. In a suite of cosmological zoom-in simulation of Milky Way-size haloes, we vary the primordial state fractions to understand the impact of inelastic dark matter self-interactions on halo structure and evolution. In particular, we test how the initial conditions impact the present-day properties of dark matter haloes. Depending on the primordial state fraction, scattering reactions will be dominated by either exothermic or endothermic effects for high and low initial excited state fractions, respectively. We find that increasing the initial excited fraction reduces the mass of the main halo, as well as the number of subhaloes on all mass scales. The main haloes are cored, with lower inner densities and higher outer densities compared with CDM. Additionally, we find that the shape of the main halo becomes more spherical the higher the initial excited state fraction is. Finally, we show that the number of satellites steadily decreases with initial excited state fraction across all satellite masses.