bluuebunny/crossref_metadata_2025_split huggingface dataset:
CMCS: contrastive-metric learning via vector-level sampling and augmentation for code search
Authors: Song Qihong , Hu Haize , Dai Tebo 
Published: June 2024

AbstractCode search aims to search for code snippets from large codebase that are semantically related to natural query statements. Deep learning is a valuable method for solving code search tasks in which the quality of training data directly impacts the performance of deep-learning models. However, most existing deep-learning models for code search research have overlooked the critical role of training data within batches, particularly hard negative samples, in optimizing model parameters. In this paper, we propose contrastive-metric learning CMCS for code search based on vector-level sampling and augmentation. Specifically, we propose a sampling method to obtain hard negative samples based on the K-means algorithm and a hardness-controllable sample augmentation method to obtain positive and hard negative samples based on vector-level augmentation techniques. We then design an optimization objective composed of metric learning and multimodal contrastive learning using obtained positive and hard negative samples. Extensive experiments were conducted on the large-scale dataset CodeSearchNet using seven advanced code search models. The results show that our proposed method significantly enhances the training efficiency and search performance of code search models, which is conducive to promoting software engineering development.
A data-driven short video international communication model based on indicator system communication network and attention BiLSTM neural network
Authors: Song Jinbao , Liu Jing 
Published: June 2024

AbstractAs one of the most popular ways to disseminate Internet content in the current era of media convergence, short videos have increasingly become part of people’s daily lives. This paper takes TikTok as the research object, focusing on the study of short video communication process. The research objective of this paper is to improve the international communication effect of short videos through data-driven analysis and strategy research on the law of international communication of short videos. Firstly, the key objective indicator system about international communication of short videos is constructed, the definition, selection and design logic of key objective indicators are introduced, the construction idea of the corresponding indicator system is proposed, and then the key objective indicator system about international communication of short videos and related data set are constructed. Secondly, an international communication network model for short videos is built. The construction of this network model is divided into three steps, the construction of the short video communication network KOIS-PN based on the key objective indicators system, the construction of AT-BiLSTM neural network model to adapt to the research scenario of short video international communication, the construction of an international communication network model of short videos combining KOIS-PN and AT-BiLSTM. The international short video communication network is constructed according to the key objective index system of international short video, and the key objective index system is used as nodes in the communication network, and the short video communication network is constructed by hierarchical relationship. Thirdly, the performance of the core theoretical model proposed in this paper is verified. The experimental results show that, the KOISPN-ATBiLSTM international communication network model of short videos has certain validity and advancement.
Unlocking the genomic potential of Red Sea coral probiotics
Authors: Raimundo Inês , Rosado Phillipe M. , Barno Adam R. , Antony Chakkiath P. , Peixoto Raquel S. 
Published: June 2024

AbstractThe application of beneficial microorganisms for corals (BMC) decreases the bleaching susceptibility and mortality rate of corals. BMC selection is typically performed via molecular and biochemical assays, followed by genomic screening for BMC traits. Herein, we present a comprehensive in silico framework to explore a set of six putative BMC strains. We extracted high-quality DNA from coral samples collected from the Red Sea and performed PacBio sequencing. We identified BMC traits and mechanisms associated with each strain as well as proposed new traits and mechanisms, such as chemotaxis and the presence of phages and bioactive secondary metabolites. The presence of prophages in two of the six studied BMC strains suggests their possible distribution within beneficial bacteria. We also detected various secondary metabolites, such as terpenes, ectoines, lanthipeptides, and lasso peptides. These metabolites possess antimicrobial, antifungal, antiviral, anti-inflammatory, and antioxidant activities and play key roles in coral health by reducing the effects of heat stress, high salinity, reactive oxygen species, and radiation. Corals are currently facing unprecedented challenges, and our revised framework can help select more efficient BMC for use in studies on coral microbiome rehabilitation, coral resilience, and coral restoration.
Analysis of sports records evolution and limits based on integrated features
Authors: Tang Lu , Yang Mingliang , Li Bo , Chen Yumin , Zhang Yeting , Guo Xubin 
Published: June 2024

AbstractSports records play a crucial role in understanding the limits of human achievement in sports. However, a thorough exploration of a comprehensive analysis of various sports records utilizing the existing statistical model has been lacking. This study introduces a framework for analyzing the integrated features and evolutionary trends of 23 sports records for men and women. It includes world records and intercontinental records from six continents, covering 6440 athletes from 2001 to 2020. Our findings indicate that human beings have not yet reached sports limits in athletic performance, suggesting a continuous improvement over time. Furthermore, we have investigated the contributions of our model’s parameters to the integrated features, emphasizing their robustness and convergence in handling data flow and information entropy. Additionally, our model underscores the significance of integrating various sports for ongoing advancement, in line with the Olympic motto “Together,” thereby promoting coordinated development.
A nomogram for predicting the risk of cancer-related cognitive impairment in breast cancer patients based on a scientific symptom model
Authors: Zhou Zhongtao , Ren Jiajia , Liu Qiankun , Li Shuoshuo , Xu Jiahui , Wu Xiaoyan , Xiao Yuanxiang , Zhang Zipu , Jia Wanchen , Bai Huaiyu , Zhang Jing 
Published: June 2024

AbstractCancer-related cognitive impairment is a significant clinical challenge observed in patients with breast cancer, manifesting during or after treatment. This impairment leads to deteriorations in memory, processing speed, attention, and executive functioning, which profoundly impact patients' occupational performance, daily living activities, and overall quality of life. Grounded in the Symptom Science Model 2.0, this study investigates the contributing factors to Cancer-related cognitive impairment in breast cancer patients and develops a predictive nomogram for this demographic. Employing both univariate and multivariate logistic regression analyses, this investigation delineates the predictive factors influencing outcomes in breast cancer patients. A nomogram was constructed leveraging these identified predictive factors, accompanied by internal validation through bootstrap resampling methodology (1000 bootstrap samples). The efficacy of the predictive model was assessed by employing the Hosmer–Lemeshow goodness-of-fit test and calibration curves. The prevalence of cognitive impairment in breast cancer patients was identified to be 45.83%.Multivariate logistic regression analysis identified the independent predictors of Cancer-related cognitive impairment in breast cancer patients as place of residence, educational level, chemotherapy, benefit finding, post-traumatic growth, anxiety, fear of cancer progression, and fasting blood glucose levels. these factors were integrated into the nomogram. The Hosmer–Lemeshow goodness-of-fit test demonstrated that the prediction model was appropriately calibrated (χ2 = 11.520, P = 0.174). Furthermore, the model exhibited an area under the curve of 0.955 (95% CI 0.939 to 0.971) and a sensitivity of 0.906, evidencing its robust discriminative capacity and accuracy. Utilizing the Symptom Science Model 2.0 as a framework, this study comprehensively examines the multifaceted factors influencing Cancer-related cognitive impairment in breast cancer patients, spanning five critical domains: complex symptoms, phenotypic characterization, biobehavioral factors, social determinants of health, and patient-centered experiences. A predictive nomogram model was established, demonstrating satisfactory predictive accuracy and capability. This model is capable of identifying breast cancer patients with cognitive impairments with high precision. The findings furnish empirical evidence in support of the early detection, diagnosis, and intervention strategies for high-risk breast cancer patients afflicted with Cancer-related cognitive impairment.
Introducing the Intra-Individual Variability Hypothesis in Explaining Individual Differences in Language Development
Authors: Kautto Anna , Railo Henry , Mainela-Arnold Elina 
Published: June 2024

Purpose:
Response times (RTs) are commonly used in studying language acquisition. However, previous research utilizing RT in the context of language has largely overlooked the intra-individual variability (IIV) of RTs, which could hold significant information about the processes underlying language acquisition.

Method:

We explored the association between language abilities and RT variability in visuomotor tasks using two data sets from previously published studies. The participants were 7- to 10-year-old children (
n
= 77).

Results:
Our results suggest that increased variability in RTs is associated with weaker language abilities. Specifically, this within-participant variability in visuomotor RTs, especially the proportion of unusually slow responses, predicted language abilities better than mean RTs, a factor often linked to language skills in past research.

Conclusions:
Based on our findings, we introduce the IIV hypothesis in explaining individual differences in language development. According to our hypothesis, inconsistency in the timing of cognitive processes, reflected by increased IIV in RTs, degrades learning different aspects of language, and results in individual differences in language abilities. Future studies should further examine the relationship between IIV and language abilities, and test the extent to which the possible relationship is causal.
Relationship between the shape of cross‐inductive loop coils and the induced voltage for position detection system
Authors: Jo Jeong‐Min , Lee Chang‐Young , Kim Jae Hee 
Published: June 2024

AbstractMaglev trains require precise position data to control their propulsion systems. Specifically, sensing accurate phase based on position is necessary, for which cross‐inductive loop coils are used. To minimize phase errors, the envelope of the received voltage must be a sinusoidal wave depending on the position. This letter proposes the shapes of transmitting and receiving coils and presents, through simulation and experimentation, that the shapes of the transmitting and receiving coils and the induced voltage are in a convolution.
A novel field plate with arcuate end for improving GaN HEMTs
Authors: Cheng Junji , Liu Jiaping , Luo Yuanjie , He Gongtao , Meng Fanxin , He Zhaofeng , Yi Bo , Huang Haimeng , Yang Hongqiang , Wang Zhiming 
Published: June 2024

AbstractA new field plate (FP) is proposed for gallium nitride high‐electron‐mobility transistors (HEMTs). It features an innovative arcuate end (AE), which allows the induced charges that originally gathered at the FP end to diffuse over a wider area. Hence, not only is the electric field in the channel at the gate edge alleviated due to the induced charges, but also that concentrated at the FP end is reduced by means of AE. The simulation results indicate that by upgrading a source FP with AE, HEMT gains a 99% increase in breakdown voltage while remaining unaltered in specific on‐resistance. It also gets a 43.41% decrease in power loss during one cycle while maintaining the same breakdown voltage, which greatly contributes to enhance the efficiency of power electronic circuits.
Frequency selective surface with a bistable auxetic geometry
Authors: Vardaxoglou Yiannis , Alexandridis Antonis A. 
Published: June 2024

AbstractTwo bistable auxetic array geometries have been considered as FSS arrays of conducting elements. A square base form auxetic array with a combination of vertical and horizontal IT‐poles and a triangular one with three legged elements. Both of these have exhibited FSS reflection and transmission band characteristics with close band ratios.
Analysis of electromagnetic vibration of IPM motor based on vector control for electric propulsion ships
Authors: Yang Zhanlu , Sun Shuo , Wu Mengmeng , Yang Lihua , Wang Zongliang 
Published: June 2024

AbstractAn overall investigation of the electromagnetic force, vibration, and average torque of the Interior Permanent Magnet Synchronous Motors (IPMSM) in the dq model for electric propulsion ships is carried out, and the electromagnetic vibration characteristics of the PMSM under the vector control strategy is explored. Firstly, the space and frequency characteristics of the electromagnetic force of the dq model motor are derived using the Maxwell stress tensor method, and the influence of the dq‐axes magnetic field on the electromagnetic force under different loads is discussed in detail. Secondly, the finite element method is used to verify the influence of dq‐axes currents on motor electromagnetic force, vibration, and average torque. Finally, the experiments are conducted on an 8‐pole 48‐slot IPMSM, and the results are consistent with the theoretical analysis and simulation results. The results indicate that the electromagnetic vibration of the PMSM for electric propulsion ships increases with the increase of the current iq and decreases with the increase of the current id. The electromagnetic vibration of the motor can be reduced by selecting the appropriate dq‐axes current under the output torque constraint.
The IACOB project
Authors: de Burgos A. , Simón-Díaz S. , Urbaneja M. A. , Puls J. 
Published: June 2024

Context. Blue supergiants (BSGs) are key objects for understanding the evolution of massive stars, which play a crucial role in the evolution of galaxies. However, discrepancies between theoretical predictions and empirical observations have opened up important questions yet to be answered. Studying statistically significant and unbiased samples of these objects can help to improve the situation.
Aims. We perform a homogeneous and comprehensive quantitative spectroscopic analysis of a large sample of Galactic luminous blue stars (a majority of which are BSGs) from the IACOB spectroscopic database, providing crucial parameters to refine and improve theoretical evolutionary models.
Methods. We derived the projected rotational velocity (υ sin i) and macroturbulent broadening (υmac) using IACOB-BROAD, which combines Fourier transform and line-profile fitting techniques. We compared high-quality optical spectra with state-of-the-art simulations of massive star atmospheres computed with the FASTWIND code. This comparison allowed us to derive effective temperatures (Teff), surface gravities (log 𝑔), microturbulences (ξ), surface abundances of silicon and helium, and to assess the relevance of stellar winds through a wind-strength parameter (log Q).
Results. We provide estimates and associated uncertainties of the above-mentioned quantities for the largest sample of Galactic luminous O9 to B5 stars spectroscopically analyzed to date, comprising 527 targets. We find a clear drop in the relative number of stars at Teff ≈ 21 kK, coinciding with a scarcity of fast rotating stars below that temperature. We speculate that this feature (roughly corresponding to B2 spectral type) might be roughly delineating the location of the empirical terminal-age main sequence in the mass range between 15 and 85 M⊙. By investigating the main characteristics of the υ sin i distribution of O stars and BSGs as a function of Teff, we propose that an efficient mechanism transporting angular momentum from the stellar core to the surface might be operating along the main sequence in the high-mass domain. We find correlations between ξ,υmac and the spectroscopic luminosity 𝓛 (defined as Teff4 / g). We also find that no more than 20% of the stars in our sample have atmospheres clearly enriched in helium, and suggest that the origin of this specific subsample might be in binary evolution. We do not find clear empirical evidence of an increase in the wind strength over the wind bi-stability region toward lower Teff.
H-atom-assisted formation of key radical intermediates in interstellar sugar synthesis
Authors: Keresztes Barbara , Aazaad Basheer , Schneiker Anita , Góbi Sándor , Ragupathy Gopi , Szalay Péter G. , Tarczay György 
Published: June 2024

Context. Despite the identification of the smallest sugar molecule, glycolaldehyde (GA), in the interstellar medium (ISM), its mechanism of formation in the ISM is still not fully understood. A more profound understanding of the interstellar chemistry of GA and related molecules could provide insights into whether larger sugar molecules can also form and survive under such conditions.
Aims. The primary objectives of this research are to delve into the sugar formation mechanism in the ISM, especially in dark molecular clouds; unravel intricate details of H-atom-mediated reactions involving glyoxal (GO), GA, and ethylene glycol (EG); and identify intermediates playing potential roles in the formation of larger sugars or serving as intermediates in the destruction reaction paths of sugar molecules.
Methods. The study utilizes the para-H2 matrix isolation method with infrared (IR) spectroscopic detection and quantum chemical computations to investigate H-atom reactions of GO, GA, and EG at a low temperature.
Results. Several radical products were spectroscopically identified that might be key active species in the interstellar formation of larger sugar molecules.
The possible origin of three Apollo asteroids
Authors: Knežević N. , Todorović N. 
Published: June 2024

Aims. We study the possible dynamical background of three Apollo asteroids: 3200 Phaethon, 2005 UD, and 1999 YC. The source regions under consideration are the asteroid families (2) Pallas, in the outer belt, and two inner-belt families (329) Svea and (142) Polana. We also aim to explain some of the contradictions in the literature in regards to the origin of Phaethon.
Methods. Our methodology relies on the precise dynamical mapping of several mean motion resonances (MMRs), which are considered the main transport channels. This approach allows the clear detection of chaotic structures in an MMR and efficent selection of test asteroids for diffusion. We tracked the orbital evolution of the selected particles over 5 million years and registered all their eventual entries into the orbital neighborhood of the asteroids 3200 Phaethon, 2005 UD and 1999 YC. We performed massive calculations for different orbital and integration parameters using Orbit9 and Rebound software packages.
Results. We observed possible connections between three targeted Apollo asteroids and asteroid families we considered as their sources. The (2) Pallas family has the highest chance of being the origin of targeted asteroids, and (142) Polana has the lowest. The amount of transported material largely depends on the integrator, the integration step, and even the choice of the initial epoch, though to a lesser extent. There is a systematic discrepancy between the results obtained with Orbit9 and Rebound regarding the efficiency of the transport, but they show good agreement over delivery times and dynamical maps. A non-negligible number of objects approached all three target asteroids, which could indicate that the breakup of the precursor body occurred during its dynamical evolution.
Subcutaneous Washout Procedure (SWOP) zur Behandlung schwerwiegender
Komplikationen einer ästhetischen Glutealaugmentation durch
Copolyamid-Filler
Authors: Oster Katharina , Ring Andrej , Dellmann Niklas , Thomas Rosmaria , Zilakov Dimitrij , Witt Mathias 
Published: June 2024

Zusammenfassung
Hintergrund Neben operativen Verfahren zur Brust- und Gesäßaugmentation
besteht die Möglichkeit, mittels einer Injektion von Copolyamidfillern eine
Volumenzunahme des gewünschten Areals zu erreichen. Dieses Verfahren erfreut
sich insbesondere im asiatischen Raum großer Beliebtheit.
Patientin Eine 39-jährige Patientin hatte eine Gesäßaugmentation mit einem
Copolyamidfiller (Aquafilling) erhalten. Mit einer Zeitverzögerung von sechs
Jahren zeigten sich multiple Abszedierungen und eine Migration des Fillers, mit
furchsbauartiger Fistelgangbildung bis in die Oberschenkelmuskulatur. Es bestand
die Notwendigkeit einer wiederholten operativen Therapie.
Ergebnisse In dem demonstrierten Fall zeigen sich bei diesem Produkt
vorbekannte Komplikationen wie eine Fillermigration, eine Abszedierung und eine
chronische Infektion. Diese traten erst mit einer deutlichen Zeitverzögerung
auf. Eine vollstände Entfernung des Fillers ist nur mit dem umliegenden Gewebe
möglich. Eine operative Therapie mittels wiederholten Débridements und Gabe
eines intravenösen Breitspektrumantibiotikums sind aktueller Therapiestandard.
Die hier vorgestellte SWOP-Technik erscheint demgegenüber weniger invasiv und
weniger lokalrezidivträchtig.
Schlussfolgerung Die Gesäß- oder Brustaugmentation mit Copolyamidfillern
ist mit dem erheblichen Risiko einer chronischen Eiterung und Fistelbildung
verbunden, das bis zu einer Entstellung des Patienten führen kann.
Research on Digital Health Literacy In Germany: A Scoping
Review
Authors: Ulbrich Julia , Matusiewicz David 
Published: June 2024

Abstract
Objective Digital health literacy (dHL) is a main future competence in a
digital healthcare system. As there are hardly any empirical findings on dHL in
Germany, the objective of this scoping review is to assess the current extent of
research on dHL in Germany and further research approaches.
Methods A Scoping review based on the widely used methodological framework
of Arksey and O'Malley was conducted. The databases of PubMed, MEDLINE,
CINAHL, APAPsychArticles, SprinerLink and Livivo were searched. A search syntax
based on the topic was developed and adapted to the individual databases. The
full text of 27 enclosed citations was assessed in detail.
Results Research objectives on dHL in Germany mainly focus on studies to
measure dHL in (sub-)population(s), on the influence of dHL on certain
parameters as well as on the conceptual understanding of dHL in the German
context. The definition and measurement of dHL differs and reveals that no
common conceptual understanding exists. Recommendations for the promotion of dHL
are unconcrete but imply a conceptual further development, target-oriented
promotion measures and the integration of further actors of the healthcare
system.
Conclusions Findings imply further research especially on a common
understanding, effective measures, and a holistic approach to successfully
promote dHL in Germany.