bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scientific Library in a Common Space of Scientific Knowledge
Authors: Kuular M. Ch. , Podkorytova N. I. 
Published: December 2024

The study of the conditions for the development of a modern scientific library, which enters into an active dialogue with other subjects of the spatio-temporal environment, seems today to be actual. The purpose of the article is to examine the place and system of interaction of scientific libraries with the components of such complex phenomena as the infosphere and the formation of the common space of scientific knowledge in the modern mental field. An attempt has been made to describe these phenomena in a certain totality and integrity, to consider the features of the development of functions and practices of scientific libraries during the period of active introduction of computer technologies into library activities, their connection with the scientific and educational space. The material of the article bases on the systematic approach and analysis of publications devoted to the development of information infrastructure and a set of concepts reflecting the dynamics of definitions of such phenomena as the infosphere, its connections with the sociosphere and technosphere, and a common space of scientific knowledge.Scientific libraries evolution is largely related to the technology of reproducing texts, data and methods of their organization, therefore monitoring the document-producing environment and analyzing the completeness and availability of open and licensed sources of scientific information is one of new library communication functions in the changing information structure. The modern library is intensifying its activities, focusing on communications between individual and group needs, which are changing depending on the transformation of research and value priorities of users.
CONSTRUCTION OF EARTH CRUST SECTIONS DOWN TO THE MOHO BOUNDARY BASED ON LOW AMPLITUDE REFLECTED WAVES OF RIVER SEISMIC SURVEY USING CPD-2D METHOD (Vitim River, junction zone of the Angara-Lena monocline of the Siberian platform and the Bodaibo-Patom folded system)
Authors: Liseikin V. , Seleznev V.S. , Soloviev V.M. , Zamozhnyaya N.G. , Kashirsky A.Yu. , Kungurtsev L.V. 
Published: December 2024

In 2019, employees of the Research and Production Enterprise Luch jointly with specialists of the Seismological Branch of the Geophysical Survey of the Russian Academy of Sciences (GS RAS) carried out river seismic exploration works using the common depth point method (CDP-2D) along a 170 km long profile in the lower reaches of the Vitim River. The research was carried out according to the original methodology developed in the Siberian branches of the GS RAS, using the Baikal instruments recording seismic signals continuously (in contrast to traditional cable bottom or ground-based systems with time-limited recording). In this case, patented Malysh air guns were used in the water for the excitation of elastic waves, which have been recorded by ground registration method on the riverbank. To this day, the archives store primary materials from each receiving point (about 7000, with a distance of 25 m between them) in the form of a continuous hours-long digital recording of seismic signals and noise. These materials make it possible to generate seismograms of significant duration – up to 23 s, equal to the time interval between wave generations, in contrast to 6–10 second seismograms traditionally used to construct sections of the upper part of the Earth’s crust. In addition, the 24-bit Baikal recorder makes it possible to record signals with an amplitude two orders of magnitude lower than the amplitude of seismic noise. On the seismic sections constructed by the processor at arrival times of up to 13–14 sec, due to an increase in the stack fold of signals up to 1000–2000, we can select low-amplitude waves, reflected from boundaries in the middle and lower parts of the Earth’s crust to the Moho boundary. High fold is achieved by increasing the size of the stacking site (bin) by several times. By processing seismograms, generated from archival materials, for the first time, we have a complete vertical section of the Earth’s crust along a 170 km long profile, using low-amplitude signals. The profile passes through the junction zone of the Angara-Lena monocline and the Bodaibo-Patom folded system. The proposed approach can be used to obtain preliminary (and relatively cheap) information about the deep structure of the Earth’s crust along profiles performed using the CDP-2D river seismic exploration method.
Mapping the global distribution and predicting the potential expansion of Ceratium (Dinophyceae): development of an interactive platform
Authors: Accattatis Victoria , Milano Micaela , Silva Ruan Dutra da , Huber Paula , Metz Sebastián , Calado António , Craveiro Sandra , Forastier Marina , Piccini Claudia , Cardoso Luciana de Souza , Devercelli Melina 
Published: December 2024

Abstract

Ceratium is a genus of freshwater dinoflagellates distributed worldwide and considered invasive in several aquatic systems around the world. This study introduces a global database documenting Ceratium species that includes 677 records published from 1881 to 2023, and 42 new ones. These encompass a large part of the vast bibliography surrounding the genus described in 1793, or under its basionym Bursaria in 1773. To visualize these records along with the associated environmental information, we developed an interactive and updatable web platform named "Ceratium Tracker" (https://hjqcwk-mica-milano.shinyapps.io/CeratiumTracker/). As South America had the highest number of recent records, we calculated the expansion rate and modeled the potential distribution in this region, focusing on the most frequent species: C. furcoides and C. hirundinella. We found that C. hirundinella had a lesser expansion magnitude compared to C. furcoides, but its invasion in South America started earlier. Within just a decade, from 2002 to 2012, C. furcoides rapidly expanded its range, invading approximately 70% of South America. Our analysis showed that minimum temperature and soil moisture were the variables most influencing the potential distribution of C. furcoides in South America, while actual evapotranspiration was key for C. hirundinella. Consequently, areas most susceptible to C. furcoides were primarily located along Brazil’s coastal region and neighboring countries. In contrast, susceptibility areas for C. hirundinella were concentrated in western Argentina and Chile, consistent with the environmental preferences obtained from our analyses.
Do endocrine and lipid responses to an ice bath depend on the time of day?
Authors: Braunsperger Alexander , Bauer Maximilian , Brahim Chaima Ben , Seep Lea , Tischer Dominik , Peitzsch Mirko , Hasenauer Jan , Figuera Sieglinde Hechenbichler , Worthmann Anna , Heeren Joerg , Dyar Kenneth A. , Koehler Karsten , Soriano-Arroquia Ana , Schönfelder Martin , Wackerhage Henning 
Published: December 2024

Abstract

While the effect of time-of-day (morning versus evening) has been studied in relation to meals and exercise, there are no studies that investigate the effects of time-of-day on an ice bath. In this crossover-designed study, we recruited a homogenous group of six women and six men for an ice bath (8–12°C for 5 min) in the morning and evening. Venous blood samples were collected before and after the ice baths. Both ice baths increased plasma noradrenaline levels similarly between women and men. Adrenaline and cortisol were not affected by any of the ice baths. Plasma lipid class composition differs in the morning versus the evening and only in the morning, ice bathing is accompanied by a significantly higher fatty acid composition. The increase of noradrenaline in response to the ice bath in the morning is consistent with higher plasma concentrations of fatty acids. This relationship suggests that the time-of-day affects noradrenaline-associated lipolysis induced by an ice bath. This time-of-day effect can be further attributed to interindividual plasma fatty acid responses to a morning ice bath. Apparently, morning ice baths increase plasma fatty acids via noradrenaline-associated lipolysis more than in the evening.
Bi-fidelity adaptive sparse reconstruction of polynomial chaos using Bayesiancompressive sensing
Authors: Karimi Mohamad Sadeq , Mohammadi Ramin , Raisee Mehrdad 
Published: December 2024

Abstract

In recent years, non-intrusive polynomial chaos expansion (NIPCE) has been known as a practical method for uncertainty quantification (UQ) of stochastic problems. However, this method suffers from the curse of dimensionality, such that the computational cost of constructing the expansion rises dramatically with an increase in the dimension of the stochastic space. Due to this issue, the application of classical NIPCE in real-world industrial problems with a large number of uncertainty sources is unaffordable. To manage the computational cost of UQ in high-dimensional stochastic problems, this paper introduces a novel efficient method for multi-fidelity sparse reconstruction of NIPCE. The developed framework is established by incorporating a multi-task adaptive Bayesian compressive sensing (MTABCS) method into the regression-based NIPCE. Firstly, a set of inexpensive deterministic computations is used to compress the chaos expansion by recovering the bases strongly affecting the response. Subsequently, the sparsely constructed expansion is refined according to a limited number of high-fidelity computations. Two challenging CFD test cases, namely, the transonic RAE2822 airfoil and the NASA rotor 37, are considered to assess the performance of the developed method in realistic large-sized engineering problems. The investigations indicated that, in addition to a considerable reduction in computational cost, the present method is able to accurately reproduce the results of the classic NIPCE. It is observed that the MTABCS approach reduces the computation workload of UQ analysis in the test cases by one order of magnitude compared to the standard chaos expansion method.
Prediction of urinary tract infection using machine learning methods-A study for finding the most-informative variables
Authors: Farashi Sajjad , Momtaz Hossein Emad 
Published: December 2024

Abstract

Background-Urinary tract infection (UTI) is a frequent health-threatening condition. Early reliable diagnosis of UTI helps to prevent misuse or overuse of antibiotics and hence prevent antibiotic resistance. The gold standard for UTI diagnosis is urinalysis which is a time-consuming and also an error prone method. In this regard, complementary methods are demanded. In the recent decade, machine learning strategies that employ mathematical models on a dataset to extract the most-informative hidden information are the center of interest for prediction and diagnosis purposes.
Method-In this study, machine learning approaches were used for finding the important variables for a reliable prediction of UTI. Several types of intelligent machines including classical and deep learning tools were used for this purpose.
Results- Eighteen selected features from urine test, blood test and demographic data were selected as the most-informative. Factors extracted from urine such as WBC, nitrite, leukocyte, clarity, color, blood, bilirubin, urobilinogen, and factors extracted from blood test like mean platelet volume, lymphocyte, glucose, red blood cell distribution width, and potassium, demographic data such as age, gender and previous use of antibiotics are the determinative factors for UTI prediction. An ensemble combination of XGBoost, decision tree, and light gradient boosting machines with a voting scheme obtained the highest accuracy for UTI prediction (AUC: 88.53 (0.25), accuracy: 85.64 (0.20)%), according to the selected feature. Furthermore, the results showed the importance of gender and age for UTI prediction.
Conclusion-This study highlighted the potential of machine learning for UTI prediction.
It is not only about green: uncovering the factors that determine streetscapes aesthetic in megacities
Authors: Cirino Douglas , Mouquet Nicolas , Metzger Jean Paul 
Published: December 2024

Abstract

Urban streetscapes serve as essential public domains shaping community well-being and identity. Our study searches into the nuanced factors influencing the provision of urban aesthetic service. Employing online surveys, deep learning analyses, and spatial modeling, we explore the intricate interplay between ground level and landscape level features of green and built areas in shaping aesthetic preferences in São Paulo's streets, the largest megacity in the Southern Hemisphere. We found that the perceived beauty of streets is positively affected by heterogeneous arrangement of vegetation and built-up areas and by the three-dimensionality of trees, and not solely by the quantity of greenery. Surprisingly, socioeconomic profiles of respondents exhibit no discernible impact on aesthetic evaluations, suggesting consensus across people with diverse social characteristics. Using convolutional neural networks trained on our survey, we could predict aesthetic scores for over 350,000 street images, yielding for the first time a map of the scenic beauty ecosystem service of an entire city with a resolution of 50 m. This aesthetic map uncovers significant mismatches between supply and demand for aesthetic services, exposing urban inequalities. By revealing these patterns, our framework provides actionable insights for policymakers, offering a pathway to cultivate more socially equitable and aesthetically pleasing urban environments globally.
Wavelength-Dependent DNA Damage Induced by Single Wavelengths of UVC Light (215 to 255 nm) in a Human Cornea Model
Authors: Buonanno Manuela , Hashmi Raabia , Petersen Camryn E , Tang Zheng , Welch David , Shuryak Igor , Brenner David J 
Published: December 2024

Abstract

Scientific bodies overseeing UV radiation protection recommend safety limits for exposure to ultraviolet light in the workplace based on published peer-reviewed data. To support this goal, a 3D model of the human cornea was used to assess the wavelength dependence of corneal damage induced by UVC light. In the first set of experiments the models were exposed with or without simulated tears; at each wavelength (215–255 nm) cells with DNA dimers and their distribution within the epithelium were measured. Simulated tears reduced the fraction of damaged cells to an extent dependent on the wavelength and tissue layer. Another set of models were exposed without tears; yields of DNA-damaged cells and their distribution within the corneal epithelium were evaluated at each wavelength, together with other markers of cell and tissue integrity. Unlike relatively longer wavelengths, the range commonly referred to as far-UVC (215–235 nm) only induced dimers in the uppermost layers of the epithelium and did not result in lasting damage or halt proliferation of the germinative cells. These results provide evidence for the recommended exposure limits for far-UVC wavelengths, which have been proposed as a practical technology to reduce the risk of transmission of airborne diseases in occupied locations.
Risks of microplastics in different land-use types of soil in a typical petrochemical city in China
Authors: Guo Yuting , Wu Rongshan , Guo Changsheng , Wu Linlin , Xu Jian 
Published: December 2024

Abstract

Although microplastic pollution is a global concern, information on the distribution of microplastics in petroleum and petrochemical urban soils is limited. In this study, we investigated the occurrence, ecological risk, and human exposure risk of microplastics in different land-use types of soil in Daqing Administrative region, a prominent petroleum and petrochemical industrial base in China. Stereoscopic microscopy and Fourier transform infrared spectroscopy (µ-FTIR) were used to study the chemical composition and distribution characteristics of microplastics. We found that the abundance of microplastics in Daqing soil ranged from 714.29 to 11122.45 items/kg, with the highest value in educational land and the lowest in parks and green land. The dominant particle size of microplastics was < 1 mm (65.7%), and the shape was mainly fiber (55.1%), with white and black as the predominant colors. The most common polymer types were rayon (RY), polypropylene (PP), and polyethylene (PE). Using the potential ecological risk index (RI) and polymeric risk index (H), we found that all land-use types, except woodland (Level I), were classified into Level V of ecological risk, with the highest risk in industrial land (RI = 14959.85, H = 588.31). The daily exposure of infants to microplastics was much higher than that of adults, with a decreasing trend with age. The average estimated daily intake (EDI) of microplastics in different land-use types followed the decreasing trend of educational land > farmland > industrial land > woodland > residential land > riparian land > parks and green lands. These findings provide valuable data for the pollution and potential risk assessment of microplastics in urban and rural environments, suggesting the importance of taking action to minimize its harmful effects on ecological and human health.
Relationship Between Cyberbullying Victimization and Depression in Middle School Students: The Mediating Role of Coping Strategies and the Moderating Role of Face Consciousness
Authors: song han , Zhao Lingbo 
Published: December 2024

Abstract

Background
The more rapid adoption of the Internet in education settings has raised concerns about its impact on adolescents who may suffer from cyberbullying victimization. As a negative life experience, cyberbullying victimization can adversely affect adolescents’ mental health. Particularly, it can lead to more adolescents developing depression. Based on this, we developed and tested a moderated mediation model to examine whether coping strategies mediate the relationship between cyberbullying victimization and depression, and whether this mediating process was moderated by face consciousness.
Method
This study used a cross-sectional survey design with a sample of 1,586 middle school students from northwestern China, including 782 females (mean age 13.76 ± 1.03 years; age range 12–16). Participants completed an anonymous paper-and-pencil survey that assessed their experiences with cyberbullying victimization, coping strategies, face consciousness, and depressive symptoms.
Result
The findings revealed that cyberbullying victimization (Beta = 0.36, t = 16.17, p < 0.001) significantly predicted level of depression in adolescents. Coping strategies (Effect = 0.19, p < 0.001) partially mediated this relationship. Additionally, face consciousness (Beta = -0.09, t = -4.61, p < 0.001) moderated the mediation: as face consciousness increased, the impact of coping strategies on depression became stronger.
Conclusion
These findings provide valuable insights into how and when cyberbullying affects adolescent depression, offering potential guidance for prevention and intervention strategies aimed at reducing the impact of cyberbullying on depressive symptoms in this vulnerable population.
Atypical Neural Responses to Native and Non-Native Language in Infants at High Likelihood for Developing Autism
Authors: Wagner Lauren , Banchik Megan , Tsang Tawny , Okada Nana J. , Altshuler Rebecca , McDonald Nicole , Bookheimer Susan Y. , Jeste Shafali S. , Green Shulamite A. , Dapretto Mirella 
Published: December 2024

Abstract

Background
Language difficulties are common in autism spectrum disorder (ASD), a neurodevelopmental condition characterized by impairments in social communication as well as restricted and repetitive behaviors. Amongst infant siblings of children with an ASD diagnosis – who are at higher likelihood for developing ASD – a high proportion also show difficulties and delays in language acquisition.
Methods
In this study, we used functional magnetic resonance imaging (fMRI) to examine atypicalities associated with language processing in 9-month-old infants at high (HL) and typical (TL) familial likelihood for ASD. Infants were presented with native (English) and novel (Japanese) speech while sleeping naturally in the scanner. Whole-brain and a priori region-of-interest analyses were conducted to evaluate neural differences in language processing based on likelihood group and language condition.
Results
HL infants showed attenuated responses to speech in general, particularly in left temporal language areas, as well as a lack of neural discrimination between the native and novel languages compared to the TL group. Importantly, we also demonstrate that HL infants show distinctly atypical patterns of greater rightward lateralization for speech processing. Limitations: The sample size, particularly for the TL group, is relatively modest due to the challenges inherent to collecting auditory stimulus-evoked data from sleeping participants, as well as retention and follow-up difficulties posed by the COVID-19 pandemic. Additionally, the groups were not matched on some demographic variables; however, the present findings held even after accounting for these differences.
Conclusions
To our knowledge, this is the first fMRI study to directly measure autism-associated atypicalities in native language uptake during infancy. These findings provide a better understanding of the neurodevelopmental underpinnings of language delay in ASD, which is a prerequisite step for developing earlier and more effective interventions for autistic children and HL siblings who experience language impairments.