bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the relationship among hikikomori tendencies, autistic traits, computer game use and eating disorder symptoms
Authors: Carpita Barbara , Nardi Benedetta , Giovannoni Federico , Parri Francesca , Cerofolini Gianluca , Bonelli Chiara , Amatori Giulia , Massimetti Gabriele , Cremone Ivan Mirko , Pini Stefano , Pellecchia Enza , Dell’Osso Liliana 
Published: December 2024

AbstractObjectiveThe hikikomori phenomenon has recently gained growing global interest, and evidences of its association with other psychopathological dimensions are slowly but steadily emerging. We aimed to evaluate the presence and correlates of hikikomori tendencies in an Italian University population, focusing on its relationships with autism spectrum, pathological computer gaming, and eating disorders. In particular, to our knowledge, no study has yet systematically evaluated the latter association, using psychometric instruments tailored to assess eating disorder symptoms.Methods2574 students were recruited via an online survey. All participants were assessed with the Hikikomori Questionnaire-25 (HQ-25), the Adult Autism Subthreshold Spectrum Questionnaire (AdAS Spectrum), the Eating Attitude test-26 (EAT-26), and the Assessment of Internet and Computer Game Addiction (AICA-S).ResultsThe results outlined how hikikomori risk was significantly correlated to autistic dimensions, altered eating behaviors, and videogame addiction. The closest relationship was detected with the autism spectrum. Interestingly, pathological computer gaming, most autistic dimensions, and EAT-26 oral control emerged as significant predictors of a greater risk for hikikomori, while the proneness to inflexibility and adherence to routine emerged as negative predictors.ConclusionsOur findings support the association among hikikomori, autism spectrum, pathological computer game use, and eating disorder symptoms.
How do mining booms impact the labor market for men and women? Evidence from Indonesia
Authors: Aqeel Fatima 
Published: December 2024

Abstract
We examine the effects of mining booms in Indonesia on labor market outcomes using exogenous price changes and 452 mines. We do this using labor force surveys between the years 1998 and 2011, and four waves of individual panel data between 1997 and 2014. Surprisingly, female incomes grow during mining booms, not because women work more, but because their work moves from the agricultural to the service sector where paid work is more common. Men experience mixed labor market changes. High average mining incomes attract male labor to mining districts, allowing for some adjustment of labor supply to demand. Suggestive evidence also shows that informal work increases marginally for men, potentially in auxiliary mining jobs. A male dominated industry that supports economic opportunities for women can unexpectedly benefit women as well.
Inhibitory control facilitates learning new knowledge based on existing knowledge in cross-linguistic word contexts
Authors: Zou Zilan , Chen Baoguo 
Published: December 2024

Abstract
In cross-linguistic word learning, learning new knowledge based on existing knowledge is a common and lifelong process. This study investigated whether inhibitory control would be conducive to this process. We asked Chinese-English bilinguals to learn new meanings for familiar English ambiguous words within two consecutive days, manipulating semantic relatedness and word frequency to create four categories: high-frequency-unrelated, high-frequency-related, low-frequency-unrelated and low-frequency-related ambiguous words. Participants completed translation recognition and production tests immediately after learning and again one week later, with flanker and stop-signal tasks interspersed to measure their interference inhibition and response inhibition. The results indicated that inhibitory control, particularly interference inhibition, significantly aided in learning new meanings when direct knowledge transfer from existing knowledge was unfeasible. This research enhances our comprehension of individual differences in word learning, offering valuable perspectives for broader theories of word learning and targeted educational interventions.
Selected health characteristics are associated with urban Canadians’ acceptability of policies promoting healthier restaurant food environments
Authors: Lambert-De Francesch Jessica , Saint-Onge Kadia , Muhajarine Nazeem , Gauvin Lise 
Published: December 2024

Abstract

Objective:
The adoption of policies promoting healthier restaurant food environments is contingent on their acceptability. Limited evidence exists regarding individual characteristics associated with restaurant food environment policy acceptability, especially health-related characteristics. This study examined associations between health characteristics and restaurant food environment policy acceptability among urban Canadians.

Design:
Links between health characteristics and complete agreement levels with selected policies were examined using data in the cross-sectional Targeting Healthy Eating and Physical Activity survey study, that is, a large pan-Canadian study on policy acceptability. For each policy, several logistic multilevel regression analyses were conducted.

Setting:
Canada’s seventeen most populated census metropolitan areas.

Participants:
Urban Canadian adults responded to the survey (n 27 162).

Results:
Body mass index was not associated with acceptability after adjustments for other health and sociodemographic characteristics were made. Across all policies and analyses, those reporting excellent or very good health statuses were more likely to be in complete agreement with targeted policies than those with good health statuses. For selected policies and analyses, those reporting poor health statuses were also more likely to be in complete agreement than those describing their health status as good. For all policies and analyses, both those consuming restaurant-prepared foods daily and those never consuming these foods were more likely to be in complete agreement than those consuming these foods once per week.

Conclusions:
More research is needed to explain discrepancies in acceptability according to health characteristics. Bringing this study’s findings to the attention of policymakers may help build momentum for policy enactment.
Effects of Carolina geranium (Geranium carolinianum) competition on strawberry growth and yield
Authors: Buzanini Ana C. , Boyd Nathan S. 
Published: December 2024

AbstractCarolina geranium (Geranium carolinianum L.) growth in planting holes in commercial strawberry [Fragaria × ananassa (Weston) Duchesne ex Rozier (pro sp.) [chiloensis × virginiana]] fields is a serious problem in Florida. This study aimed to evaluate the effects of different G. carolinianum densities on strawberry growth and yield in plasticulture production systems. Geranium carolinianum densities were 0, 0.4, 0.8, 1.9, 2.7, and 3.8 plants m−2 equally distributed on the plastic-mulched bed top within the planting holes. Geranium carolinianum density did not affect plant height; however, seed production and season-end biomass were negatively correlated with density in Season I. There was a negative, linear correlation between weed density and berry yields. With each increase in G. carolinianum per square meter, the total annual yield was lowered by 554 and 935 kg ha−1, in Seasons I and II, respectively. Our data clearly indicate that G. carolinianum emerging in the transplant holes of strawberry and competing throughout the season has a significantly negative effect on total berry yield.
Classifying the Magnetosheath Using Local Measurements From MMS
Authors: Svenningsson I. , Yordanova E. , Khotyaintsev Y. V. , André M. , Cozzani G. 
Published: December 2024

AbstractThe Earth's magnetosheath is a dynamic region of shocked solar wind plasma downstream of the bow shock. Depending on the upstream magnetic field orientation, the magnetosheath usually has one of two distinct configurations: a more variable magnetosheath with strong fluctuations and structures propagating from upstream to downstream, or a more stationary magnetosheath characterized by compression and high ion temperature anisotropy. The more variable magnetosheath is usually observed for quasi‐parallel shocks (the angle between the shock normal and the upstream magnetic field ), but the limit can vary for . These differences facilitate studies of how different plasma environments affect various processes such as turbulence and heating, and these require an accurate magnetosheath classification. Since can rarely be determined correctly in the absence of upstream monitors, local measurements have been suggested to classify the magnetosheath. However, this has not yet been verified for Magnetospheric Multiscale (MMS) data. We investigate this approach with MMS using locally measured magnetic field variability, ion temperature anisotropy, and suprathermal ion flux. We find the more variable magnetosheath at normalized magnetic fluctuations above 0.29 and ion temperature anisotropy below 0.18. We also find that the suprathermal ion flux can complement the classification given that MMS burst‐mode data is used. Our findings provide a method to determine the magnetic connectivity of the magnetosheath with the upstream solar wind in the case of MMS and classify the downstream region into different configurations.
The Characteristics and Simulation of Sporadic E Layers in Ascending and Descending Phases of the Solar Cycle at Mid‐Latitude Stations
Authors: Zhang Yabin , Peng Huaiyun , Jin Ruimin , Li Haiying , Hu Yanli , Ban Panpan , Xu Bin , Xu Tong , Zhao Haisheng , Wu Jiajing , Tian Yaoyu , Xie Shouzhi , Wu Jian 
Published: December 2024

AbstractMost of the attention was paid to the correlation between Sporadic E (Es) layers and solar activity, and conflicting conclusions were obtained in previous research. For the first time, we analyze the influence of solar activity on the number of Es layer traces (Es layers with a certain duration and intensity), the lifetime and descent velocity of the descending Es layer traces, and the results have been explained using simulation based on windshear theory and Lomb‐Scargle (LS) spectral analysis. A statistical analysis of Es layers observed in ascending (2010–2012) and descending (2016–2018) phases of the solar cycle is presented at three different mid‐latitude stations of Kuming (25.5°N, 103.8°E), Lanzhou (36.1°N, 103.9°E) and Urumqi (43.8°N, 87.6°E) in China region. The observation results indicate that the occurrence rate, height distribution and the number of the Es layer traces are all influenced by solar activity, indicating that they are negatively correlated with solar activity. The simulation, spectral analysis, and observations reveal that the lifetime and descent velocity of the descending Es layer traces are mainly modulated by semidiurnal and diurnal tides, but are less affected by solar activity. The predominant oscillations of the Es layer are identified using LS spectral analysis. The spectral analysis reveals that the modulation of diurnal tide waves on Es layers dominates at lower mid‐latitudes, and that of semidiurnal tide waves dominates at higher latitudes. The results also confirm the modulation of planetary waves on Es layers at different mid‐latitudes.
Modeling the Two‐Dimensional Propagation of Whistler‐Mode Chorus Waves in the Magnetic Peaks
Authors: Feng Bopu , Yu Xiongdong , Li Haimeng , Zhou Meng , Tang Rongxin , Ouyang Zhihai , Xiong Ying , Yuan An , Zou Wenqian , Cheng Yingqiao 
Published: December 2024

AbstractRecent studies have shown that chorus waves can be guided by magnetic peaks based on one‐dimensional theories and simulations. Despite these findings, such ducting propagation within the inner magnetosphere remains unconfirmed. In this research, we conduct detailed ray tracing simulations to explore the two‐dimensional behavior of chorus waves in regions characterized by magnetic peaks. Our findings demonstrate that chorus waves can indeed be guided by magnetic peaks, undergoing repeated reflections on both sides of the peak. Additionally, we discuss the physical mechanisms responsible for these repetitive reflections, offering deeper insights into the process. To further enrich our analysis, we performed a parameter analysis to study how different wave frequencies and initial locations influence the propagation characteristics of chorus waves. The results provide a more comprehensive understanding of how whistler‐mode waves propagate within the magnetosphere, enhancing our knowledge of wave‐particle interactions and the dynamics of space plasma environments.
Stabilized Unfitted Finite Element Method for Poroelasticity With Weak Discontinuity
Authors: Liu Zhijun , Tong Yuxin , Zhang Yimin , Zheng Hong , Zhang Fanyu 
Published: December 2024

AbstractPoromechanics problems in geotechnical and geological contexts often involve complex formations with numerous boundaries and material interfaces, which significantly complicate numerical analysis and simulation. The traditional finite element method (FEM) encounters substantial challenges in these scenarios because it requires the mesh to conform precisely to each boundary and interface. This requirement complicates preprocessing and necessitates meticulous manual control to achieve a high‐quality mesh. In contrast, unfitted FEMs are well‐suited for these problems as they do not require the mesh to align with the model geometry. We propose a stabilized unfitted FEM that incorporates Nitsche's method and ghost penalty stabilization techniques to address complex poroelasticity problems. This approach treats material interfaces as weak discontinuities and ensures that compatibility conditions are satisfied. The proposed method allows the mesh to be independent of both boundaries and material interfaces. Nitsche's method is used to weakly enforce both Dirichlet boundary conditions and interface compatibility conditions, resulting in a symmetric weak form. Additionally, three types of ghost penalty terms are introduced for elements intersected by boundaries or interfaces, effectively eliminating cut‐induced ill‐conditioning. The proposed methodology has been validated through benchmark and practical problems, demonstrating optimal convergence and exceptional stability. This approach significantly enhances the stability and efficiency of hydro‐mechanical analyses for complex geotechnical and geological problems.
Regimes of Cloud Vertical Structure From Active Observations
Authors: Lee Dongmin , Oreopoulos Lazaros , Cho Nayeong 
Published: December 2024

AbstractWe introduce a new type of cloud class, which we call “active cloud regime” (ACR), owing to its provenance from active (lidar and cloud radar) spaceborne cloud observations. ACRs intend to provide a climatological description based on cloud vertical structure (CVS) of the most prevalent monthly CVS mixtures encountered at large spatial scales of ∼400 km. ACRs are thus a way to create a gridded data set of a vertically resolved cloud mask that can facilitate joint analysis with other gridded data sets. The detailed 2D cloud mask comes from the 2B‐CLDCLASS‐LIDAR CloudSat data set fusing CALIPSO (lidar) and CloudSat (cloud radar) cloud detections. We show that the global classification of cloudiness under the ACR framework provides valuable insights on how the world's dominant cloud systems regulate the two major components of atmospheric energetics, precipitation and radiative cooling. NASA's GEOS model allows us to demonstrate the feasibility of applying the ACR concept in Earth System Models that have the capability to produce subgrid cloudiness obeying pre‐specified vertical overlap rules. Comparison of observed and simulated ACRs provides thus another means to assess the realism of modeled clouds.
Regular red-green-blue InGaN quantum wells with In content up to 40% grown on InGaN nanopyramids
Authors: Dussaigne Amélie , Paillet Colin , Rochat Névine , Cooper David , Grenier Adeline , Vézian Stéphane , Damilano Benjamin , Michon Adrien , Hyot Bérangère 
Published: December 2024

AbstractFull color micro-displays with a pixel pitch of below 10 µm are needed for augmented and virtual reality applications. In the native emission approach, high efficiency Red-Green-Blue (RGB) pixels could be achieved using monolithically integrated InGaN based micro-LEDs. Here, we report the growth of high optical quality RGB InGaN/InGaN quantum wells grown on InGaN nanopyramids of diameter less than 1 µm by metal organic vapor phase epitaxy. We synthesized the nanopyramids by nanoselective area growth using an in situ patterned epitaxial graphene on SiC as an embedded mask. The RGB emission properties at different locations on the sample are dependent on the size of the InGaN nanopyramids. Advanced correlative analysis conducted on the same transmission electron microscopy lamella reveal a fully or at least nearly relaxed In0.13Ga0.87N core and very regular quantum wells emitting in the red range (620 nm) along the pyramid sidewalls with an In content up to 40%.
Reducing noble metal dependence: oxygen evolution reaction with a Ru-minimized Bi2Ru2O7@MOF-801 composite
Authors: Sujita P , Gupta Keshav , Gopal V. , Sarmila S. , Vadivel Sethumathavan 
Published: December 2024

A noble metal-minimized Bi2Ru2O7@MOF-801 composite delivers high catalytic OER activity and improved durability with the synergy of high conductive Bi2Ru2O7 and high surface area MOF-801.
Desertion of anomalous magnetic transition and emergence of metallic state in Cu doped Eu2Ru2O7 pyrochlore
Authors: Chatterjee Soma , Das I. 
Published: December 2024

In this paper, we present a detailed investigation of the structural, magnetic, and electrical transport properties of Eu2−xCuxRu2O7 (x = 0, 0.2, 0.4) pyrochlores. X-ray diffraction measurements confirm the single-phase nature of all samples and also manifest the reduction of lattice parameters with the increase in copper doping concentration. The experimental results of the magnetic measurements indicate that an anomalous magnetic transition around 23 K arises due to the contribution of non-magnetic Eu3+ ions. The strength of this unnatural magnetic transition reduces with decreasing Eu concentration [i.e., with increasing copper doping (x)] and finally disappears for x = 0.4. Moreover, electrical transport measurements reveal a considerable decrease in resistivity for Cu doped samples compared to undoped samples, which indicates the increase in charge carrier concentration with increasing Cu content.
Fast axial resolution enhancement microscopy with structured illumination
Authors: Luo Shihang , Gong Ran , Zhang Mingcong , Xu Tao , Ji Wei , Gu Lusheng 
Published: December 2024

In this study, we introduce Fast Axial Resolution Enhancement (FARE) microscopy, which employs tilted strip illumination to achieve a near-isotropic three-dimensional resolution with three images per plane. FARE provides an imaging rate of up to 1.5 Hz for 55 × 55 × 3 μm3 with an axial resolution of ∼270 nm. Using this technique, we observed the movement of the endoplasmic reticulum in three dimensions and discovered novel patterns of mitochondrial morphological transitions and their interactions with other organelles under oxidative stress. These findings highlight the significant potential of FARE microscopy for biomedical applications.
Machine learning-based estimator for electron impact ionization fragmentation patterns
Authors: Lemishko Kateryna M , Armstrong Gregory S J , Mohr Sebastian , Nelson Anna , Tennyson Jonathan , Knowles Peter J 
Published: December 2024

Abstract
Numerous measurements and calculations exist for total electron impact ionization cross sections. However, knowing electron impact ionization fragmentation patterns is important in various scientific fields such as plasma physics, astrochemistry, and environmental sciences. Partial ionization cross sections can be calculated by multiplying total ionization cross sections with branching ratios for different fragments, which can be deduced from ionization mass spectra. However, the required mass spectrometry data is frequently unavailable. A machine learning-based method to predict mass spectra is presented. This method is used to estimate partial electron impact ionization cross sections using the predicted mass spectra and the appearance thresholds for the ionic fragments. As examples, ammonia and the C2F5 radical are considered: branching ratios derived from the predicted mass spectra and Binary-Encounter Bethe (BEB) total ionization cross sections are used to predict the fragmentation pattern for each species. The machine learning algorithm can also be used to predict mass spectroscopy fragmentation patterns. While effective, the method has key limitations: it does not account for light fragments such as H+, whose peaks are absent in the training data, and its validity is restricted to electron impact energies below 100 eV to minimize the contribution of double ionization, which is not accounted for by the BEB model. Although BEB cross sections are used in this work, the method is not reliant on BEB and can be applied to any set of total ionization cross sections, including experimental measurements.
DEG-SLAM: a dynamic visual RGB-D SLAM based on object detection and geometric constraints for degenerate motion
Authors: Pan Guangen , Cao Songyin , Lv Shuang , Yi Yang 
Published: December 2024

Abstract
Current visual simultaneous localization and mapping (SLAM) systems have demonstrated commendable efficacy in static environments. However, the presence of dynamic objects in real-world settings frequently leads to system discrepancies, significantly impairing the accuracy and robustness of SLAM systems. Conventional visual SLAM approaches typically utilize epipolar constraints to mitigate the impact of outliers; nevertheless, they encounter limitations when confronted with a substantial number of dynamic or planar moving objects. To tackle these issues, this paper introduces a novel dynamic visual SLAM system, termed DEG-SLAM. Initially, the system employs the YOLOv5 object detection network to identify dynamic objects, subsequently relaying the semantic information to the tracking module. During the tracking phase, both semantic information and epipolar constraints are leveraged to filter out dynamic feature points. To address the challenges posed by the malfunctioning of epipolar constraints in degenerate scenes, DEG-SLAM incorporates a degenerate constraint mechanism aimed at further eliminating dynamic feature points. Furthermore, a reprojection constraint has been introduced to enhance the filtering of absent dynamic feature points that lie outside the detection boxes. Experimental findings reveal that DEG-SLAM significantly improves accuracy and robustness when compared to traditional ORB-SLAM3 in dynamic environments. The performance benefits of DEG-SLAM are particularly evident in degenerate scenarios, thereby affirming its practicality and reliability in complex settings.