bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing stock price prediction with CommentGCN and OPERA for stock comments from social media
Authors: Zhu Changsheng , Yang Chen , Feng Wenfang , Yuan Peiwen 
Published: August 2024

Abstract

Stock price prediction is an important research topic in the financial field. However, there are two challenges, modeling the graph-structured stock comments effectively and tackling the severe distribution shift of the stock price data. To exploit the structural characteristics of stock comments and address the issue of data distribution shift, this study proposes a novel model, CommentGCN-OPERA, for stock price prediction. In terms of the social media textual data, to effectively process the inherently graph-structured stock comments and their interrelationships, we propose the CommentGCN module for modeling the information contained in these comments. Regarding the stock price data, the OPERA (OPEning pRice normAlization) module alleviates the issue of data distribution shift by employing input normalization and output denormalization operations, thereby reducing the bias of the stock price data. Experimental results on 6 stocks demonstrate that CommentGCN-OPERA outperforms 5 baseline models in most cases. Additionally, the ablation study further validates the independent effectiveness of the CommentGCN and OPERA modules within the model.
Modelling Realistic Generator Circuits of Spontaneous Activity of the Mouse Spinal Cord
Authors: Garcia-Ortiz Juan Pedro , Lucas-Romero Javier , Rivera-Arconada Ivan , Lopez-Garcia J. A. 
Published: August 2024

Abstract

Collective spontaneous activity is a commonly reported phenomenon in electrophysiological studies of many areas of the central nervous system; however, the mechanisms underlying the emergence of such activity have received little attention. Recent studies in the spinal cord dorsal horn report collective events in which groups of neurons fire action potentials in a quasi-synchronic way producing population bursts. We proposed that this coordinated activity should originate at neurons with the intrinsic capacity of firing action potentials. Neurons of this kind are found in the dorsal horn, but they tend to produce action potential at regular intervals and high frequency whereas collective events occur at irregular intervals and lower frequencies. The goal of the present research was to test the hypothesis that irregular collective events could be generated by synaptic interactions between neurons with intrinsic firing properties. To this end, we used popular modeling tools to create in silico neurons with similar electrophysiological behavior to that reported in the dorsal horn. Then we formed circuits with these elements and tested the ability of such circuits to produce collective events. Results obtained show that only a few circuits can produce such events. Many of these circuits share common structural and functional elements. These circuits showed a robust behavior which was not affected by external inputs or by changing the number of neurons of the ensemble. The present work supports the hypothesis that collective events as those recorded in the dorsal horn, emerge from neuronal generators formed by neurons with intrinsic firing capacity.
System Usability Scale for Gamified E-learning Courses: Cross-cultural Adaptation and Measurement Properties of the Spanish Version
Authors: Roncal-Belzunce Victoria , Gutiérrez-Valencia Marta , Martínez-Velilla Nicolás , Ramírez-Vélez Robinson 
Published: August 2024

Abstract

Objective: This work aimed to translate and culturally adapt the system usability scale for gamified e-learning courses (SUS-G scale) for Spanish population and evaluate its factor structure.
Methods: A single-measure, cross-sectional study was conducted in two phases. In the first phase, the SUS-G scale was translated and culturally adapted. In the second phase, exploratory factor analysis (EFA) was conducted with a development sample of 103 participants, followed by confirmatory factor analysis (CFA) with a training sample of 201 participants to evaluate the scale's structure. Several goodness-of-fit indices were used to assess model fit.
Results: A total of 304 students from the University of Navarra School of Medicine (189 females and 115 males) participated. The EFA was performed because of the good results offered by the sampling adequacy indices (Bartlett’s test = 1846.22; df = 406.0; p < 0.001; and KMO test = 0.857). The factor solution comprised three correlated factors: User Experience (16 items), Educational Usability (9 items) and Usability (4 items). The 29-item factor structure demonstrated adequate-to-excellent goodness-of-fit indices and good internal consistency in the CFA.
Conclusion: The SUS-G scale-Sp version for adults, obtained through back-translation, was validated and found to be reliable through EFA and CFA analyses. The final instrument consists of the same 29 items, reorganized into three dimensions. This instrument can be used to assess the perception of usability for gamified e-learning courses among Spanish-speaking university adults.
Using high-fidelity discrete element simulation to calibrate an expeditious terramechanics model in a multibody dynamics framework
Authors: Zhang Yuemin , Dai Junpeng , Hu Wei , Negrut Dan 
Published: August 2024

Abstract

The wheel-soil interaction has great impact on the dynamics of off-road vehicles in terramechanics applications. The Soil Contact Model (SCM), which anchors an empirical method to characterize the frictional contact between a wheel and soil, has been widely used in off-road vehicle dynamics simulations because it quickly produces adequate results for many terramechanics applications. The SCM approach calls for a set of model parameters that are obtained via a bevameter test. This test is expensive and time consuming to carry out, and in some cases difficult to set up, e.g., in extraterrestrial applications. We propose an approach to address these concerns by conducting the bevameter test in simulation, using a model that captures the physics of the actual experiment with high fidelity. To that end, we model the bevameter test rig as a multibody system, while the dynamics of the soil is captured using a discrete element model (DEM). The multibody dynamics--soil dynamics co-simulation is used to replicate the bevameter test, producing high-fidelity ground truth test data that is subsequently used to calibrate the SCM parameters within a Bayesian inference framework. To test the accuracy of the resulting SCM terramechanics, we run single wheel and full rover simulations using both DEM and SCM terrains. The SCM results match well with those produced by the DEM solution, and the simulation time for SCM is two to three orders of magnitude lower than that of DEM. All simulations in this work are performed using Chrono, an open-source, publicly available simulator. The scripts and models used are available in a public repository for reproducibility studies and further research.
Artificial Light at Night Accompanied by Noise Leads to Poor Educational Achievements of Schoolchildren
Authors: shama hassan , Portnov Boris 
Published: August 2024

Abstract

If schoolchildren are exposed to artificial light at night and noise, they do not sleep well and wake up tired in the morning, which can adversely affect their school grades. In this study, we verify this hypothesis by measuring nighttime light and noise in schoolchildren’s bedrooms and comparing these measurements with their educational achievements in various subjects. During the six-week study, the schoolchildren used the AndroSensor smartphone app to monitor illumination and noise and the ZeppLife app to monitor sleep. The measurements were compared to the grades the schoolchildren obtained during the corresponding school quarter. Grades in Arabic, Hebrew, English, mathematics, humanities, and sciences were analysed separately. The analysis reveals that exposure to artificial light before sleep was significantly associated with low grades in all subjects, but particularly with grades in mathematics and sciences (p<0.01). Although the same effect was found for noise, the combined effect of nighttime light and noise was stronger if the two types of exposure occurred simultaneously. As we conclude, exposure to light and noise tends to interfere with educational achievements of schoolchildren and should therefore be a public policy concern.
Magnon-Cherenkov effect in superconductor-ferromagnet heterostructures
Authors: Knauer Sebastian , Dobrovolskiy Oleksandr , Wang Qi , Vodolazov Denis , Sachser Roland , Huth Michael , Buzdin Alexander 
Published: August 2024

Abstract

When a particle moves through a medium at a speed greater than the speed of light in that medium, it emits photons. This phenomenon, known as the Cherenkov effect, theoretically allows for the generation of excitations by moving sources in relativistic and non-relativistic systems. Magnons, the quasi-particles of spin waves, are collective excitations in magnetically ordered media used for wave-based computing and vow to be a building block for hybrid quantum systems. So far, while attractive for nanoscale magnonic circuits, short-wavelength magnons have not been accessible due to the lack of fast-moving sources. Here, we demonstrate the generation of magnons in a Co-Fe magnonic conduit by fast-moving (>1 km/s) magnetic flux quanta (Abrikosov vortices) in an adjacent Nb-C superconducting strip. Our findings demonstrate the generation of sub-40nm wavelength magnons, their unidirectional excitation, and self-locked magnon-fluxon dynamics at the Cherenkov resonance condition. Beyond these initial demonstrations, the magnon-Cherenkov effect sustains superconductivity and enables on-chip magnon generation at high speeds. Our illustration of the magnon-Cherenkov effect could be expanded to encompass other wave types, such as surface acoustic waves.
Synergistic effects of E×B drifts and neutral recycling on core-edge integration for next-step fusion development
Authors: Du Hailong , Du Hailong , Guo Houyang , Wu Na , Wang Huiqian , Bonnin Xavier , Yang Zengchen , Chen Bin , Yan Ze , Fan Dongmei , Zhou Yulin , Xue Lei , Li Jiaxian , Wang Shuo , Xue Miao , Zheng Guoyao , Huang Zhi , Yan Longwen , Gao Jinming , Ji Xiaoquan , chen wei , Zhong Wulu , Xu Min , Wang Dezhen 
Published: August 2024

Abstract

It is increasingly urgent to address core-edge integration issues for the design and construction of next-step fusion devices. Evidence of density shelf has appeared, for the first time, in the HL-2A tokamak with a closed, long-leg divertor configuration for the ion drift toward the magnetic X-point. The density shelf is manifested as local flattening of the radial gradient of plasma density at the core-edge interface, hence reducing neutral penetration into the core plasma and potentially improving edge stability and confinement. We find that the formation of density shelf results from the synergistic effects of divertor closure and drifts: (i) the improved divertor closure to sufficiently reduce and even reverse the parallel plasma flow along B from the upstream plasma due to strong particle recycling inside the closed divertor; (ii) the drifts to redistribute particle fluxes at the divertor target with spontaneous generation of a double-peak profile, leading to the reversal of the poloidal flow near the separatrix. Such a density shelf is enhanced with increased power density and decreased power decay length.
Misinformation or Collaborative Cognition? Examining the Role of Bots in Manipulating Political Thought in Twitter Discourse
Authors: Ricciardone Sophia Melanson 
Published: August 2024

Abstract

Artificial intelligence (AI) enhances human communication but also complicates information sharing in online political discourse. This paper empirically investigates AI-generated tweets’ impact on political discourse on Twitter. It analyzed 4,582 tweets on a contentious Canadian political topic in 2019, segmented into bot and human sub-corpora. Using WMatrix5, each corpus underwent semantic tagging across 21 discourse fields and 232 sub-classifications for statistical analysis. Spearman’s rank correlation coefficient showed strong positive correlations between bot-generated and human-generated tweets on March 14, 2019 (r(8) = 0.87, p = .001), March 28–29, 2019 (r(8) = 0.87, p = .001), and April 8–9, 2019 (r(8) = 0.91, p < .001). A linear regression model demonstrated that the bot-generated corpus significantly predicted variance in the semantic content of human-generated tweets, suggesting predictive influence of bot posts on human discourse.
A plasma proteomic signature links secretome of senescent monocytes to aging- and obesity-related clinical outcomes in humans
Authors: Basisty Nathan , Olinger Bradley , Banarjee Reema , Dey Amit , Tsitsipatis Dimitrios , Tanaka Toshiko , Ram Anjana , Nyunt Thedoe , Daya Gulzar , Peng Zhongsheng , Cui Linna , Candia Julián , Simonsick Eleanor , Gorospe Myriam , Walker Keenan , Ferrucci Luigi 
Published: August 2024

Abstract

Cellular senescence increases with age and contributes to age-related declines and pathologies. We identified circulating biomarkers of senescence associated with diverse clinical traits in humans to facilitate future non-invasive assessment of individual senescence burden and efficacy testing of novel senotherapeutics. Using a novel nanoparticle-based proteomic workflow, we profiled the senescence-associated secretory phenotype (SASP) in monocytes and examined these proteins in plasma samples (N = 1060) from the Baltimore Longitudinal Study of Aging (BLSA). Machine learning models trained on monocyte SASP associated with several age-related phenotypes in a test cohort, including body fat composition, blood lipids, inflammation, and mobility-related traits, among others. Notably, a subset of SASP-based predictions, including a ‘high impact’ SASP panel that predicts age- and obesity-related clinical traits, were validated in InCHIANTI, an independent aging cohort. These results demonstrate the clinical relevance of the circulating SASP and identify relevant biomarkers of senescence that could inform future clinical studies.
Destinos da catarse coletiva: Do Transe à Vertigem, de Rodrigo Nunes
Authors: Coelho Caíque 
Published: August 2024

O livro de Rodrigo Nunes, Do Transe à Vertigem: Ensaios sobre bolsonarismo e um mundo em transição, publicado pela Ubu Editora em 2022, se insere como uma ocorrência bibliográfica contemporânea ao fenômeno sobre o qual versa. A obra apresenta uma contribuição importante a respeito daquilo que se pode apreender filosoficamente sobre a entidade que se convencionou chamar de bolsonarismo a partir de uma perspectiva ao mesmo tempo sincrônica e diacrônica. Trata-se do esboço de uma ontologia política do bolsonarismo, apresentando a concretização desse movimento a partir da própria exterioridade de relações das quais ele é um resultado precário. Além disso, a obra também propõe repensar a maneira de compreender a significação de eventos políticos importantes da última década, como Junho de 2013, desenvolvendo uma concepção nuançada de realismo político.
Different VH3-binding Protein A Resins Show Comparable VH3-binding Mediated Byproduct Separation Capabilities Despite Having Varied Dynamic Binding Capacities Towards A VH3 Fab
Authors: Hu Lixia , Wang Rongrong , Wu Qinxue , Wan Yan , Li Yifeng 
Published: August 2024

Background:
Protein A resins have been widely used for product capture during mAb,
bispecific antibody (bsAb), and Fc-fusion protein purification. While Protein A ligands mainly
bind the Fc region, many of them can also bind the VH3 domain. During mAb/bsAb purification,
certain truncated byproducts may contain the same Fc region as the product but fewer numbers of
the VH3 domain. In such a scenario, VH3-binding Protein A resins provide a potential means for
byproduct separation based on the difference in VH3-binding valency. As the ligands of different
VH3-binding Protein A resins are derived from distinct domains of the native Protein A, it would
be interesting to know whether they possess comparable capabilities for separating species with
the same Fc region but different numbers of VH3 domain.

Objective:
This study aims to explore the potential of different VH3-binding Protein A resins for
separating antibody species with the same Fc region but different numbers of VH3 domain.

Methods:
The VH3 Fab was released from a VH3-containing mAb by papain digestion. Post digestion,
the released VH3 Fab was purified sequentially using CaptureSelect CH1-XL and MabSelect
SuRe affinity chromatography. The purified VH3 Fab was used as the load material to assess
the dynamic binding capacity (DBC) of five VH3-binding Protein A resins (i.e., Amshpere A3,
Jetted A50, MabCaptureC, MabSelect and MabSelect PrismA). The potential of VH3-binding Protein
A resins for separating species having the same Fc region but different numbers of VH3 domain
was evaluated using an artificial mixture composed of the product and a truncated byproduct,
which contained one and zero VH3 domain, respectively (both species contained the same Fc
region). Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) was used to
monitor Fab purification and separation of species containing the same Fc region but different
numbers of VH3 domain.

Results:
When loaded with an isolated VH3 Fab, different VH3-binding Protein A resins showed
varied DBCs. Nevertheless, when these Protein A resins were used to separate a truncated byproduct,
which contained the Fc region only without any VH3 domain, from the product, which included
one VH3 domain in addition to the Fc region, they showed comparable capabilities for separating
these two species.

Conclusion:
Although different VH3-binding Protein A resins showed varied DBCs towards a
VH3 Fab, they exhibited comparable capabilities for separating species with the same Fc region
but different numbers of VH3 domain.
The Anticancer Journey of Liquiritin: Insights into Its Mechanisms and Therapeutic Prospects
Authors: Bhat Asif Ahmad , Moglad Ehssan , Afzal Muhammad , Agrawal Neetu , Thapa Riya , almalki Waleed Hassan , Kazmi Imran , Alzarea Sami I. , Ali Haider , Sharma Sanjay , Singh Sachin Kumar , Dua Kamal , Gupta Gaurav 
Published: August 2024

Abstract:
Liquiritin (LIQ), a bioactive flavonoid from Glycyrrhiza species, has shown
significant potential in cancer therapy. LIQ exhibits potent inhibitory effects on various
cancer cell types, including breast, lung, liver, and colon cancers, while demonstrating
low toxicity towards healthy cells. Its anticancer mechanisms include inducing cell cycle
arrest, promoting apoptosis, and modulating inflammation-related pathways. Additionally,
LIQ impedes angiogenesis and enhances the efficacy of conventional chemotherapies
through sensitization and synergistic effects with other natural compounds and targeted
therapies. These multifaceted actions highlight LIQ as a promising candidate for
further development as an anticancer agent. This abstract provides an overview of LIQ's
chemistry, biological effects, and underlying mechanisms.
Unveiling the Protective Role of Metformin against Chemotherapyinduced Cardiotoxicity: A Comprehensive Scoping Review on Nonclinical Studies
Authors: Rahimifard Mahban , Baeeri Maryam , Haghi-Aminjan Hamed , Abdollahi Mohammad 
Published: August 2024

Introduction:
Chemotherapy therapies are effective in treating cancer, but
they can have harmful effects on the cardiovascular system. This study explores the possible
role of metformin in reducing the cardiac damage caused by chemotherapy.

Methods:
In this scoping review, we conducted a comprehensive literature search on
electronic databases (PubMed, Scopus, and Web of Science (ISI)) until November 2023.
The manuscript was screened regarding the role of metformin in chemotherapy-induced
cardiotoxicity. Finally, 26 papers were selected after double screening.

Result:
Chemotherapy has the potential to damage and cause cell death in the heart, resulting
in molecular, biochemical, and histological changes compared to an untreated
group. However, co-treatment with metformin may offer protection by preventing or reversing
these harmful effects on cardiac cells. Metformin's cardioprotective properties are
thought to be due to its ability to modulate oxidative stress, inflammation, autophagy,
and the apoptotic pathway.

Conclusion:
The present study strongly suggests that metformin is an effective solution
to chemotherapy-induced cardiotoxicity. Metformin can alleviate the harmful effects of
chemotherapy on the heart by affecting oxidative stress, inflammation, autophagy, and
apoptosis pathways. However, it is essential to note that the use of metformin may have
some drawbacks, as it is a non-targeted therapy and could potentially reduce the effectiveness
of targeted cancer drugs. Despite this, the potential benefits of using metformin
in clinical settings cannot be ignored. Further studies are necessary to determine the specifics
of this interaction. Still, the promising results of this review suggest that metformin
may be an essential tool in the fight against chemotherapy-induced cardiotoxicity.
Study on the Enhancement of Energy Storage Mechanism for Phase Change Materials by High Porosity Metal Foams: Numerical Simulation
Authors: Liu Ming , Wang Zilong , Zhang Hua , Zhu Liucan , Zhu Hua , Lv Nan 
Published: August 2024

Introduction:
The findings of the study elucidated that as the porosity of copper foam diminished,
the internal average temperature of the composite phase change material increased, concurrent
with a reduction in the maximum average temperature differential and an enhancement in temperature
homogeneity between the heating interface and the copper composite phase change material.

Methods:
Under the filling rate of this experiment, the heat transfer mechanism of copper composite
phase change materials (CPCMs) was mainly heat conduction.

Results:
With the increase of porosity, the melting time of phase change materials shortened, and the
change of natural convection ratio was more obvious. At the same melting time, the porosity decreased,
and the pressure drop increased.

Conclusion:
When the porosity was 94 % and 96 %, the pressure drop was 1425.34 Pa/m and 1222.65
Pa/m, respectively, which was 37.01 % and 17.53 % higher than that when the porosity was 98 %.