bluuebunny/crossref_metadata_2025_split huggingface dataset:
A data mining approach for analysing globalshipping patterns.
Authors: Spiliopoulos Giannis , Ducruet César , Millefiori Leonardo M. , Braca Paolo , Zissis Dimitris 
Published: November 2024

Abstract

Ships are often considered as the backbone of the global economy. A fundamental unresolved problem is how to best operate fleets, given a sudden increase in demand, such as that reported following the first months of the COVID19 pandemic. Advancing our knowledge of the supply chain's delicate equilibrium between demand and supply, requires analyzing huge amounts of ship-related positional data, thus revealing which areas should be avoided due to potential congestion buildup and where cargoes should be rerouted to. Herein, we analyze a large-scale high-resolution mobility data set of more than 7,000 container ships, collected over an extended period of 36 months, covering the entire globe, so as to measure quantitatively the effects of the pandemic post-hoc on the supply chain. To further understand these fine-grained mobility patterns, we introduce a mobility model for calculating ship presence times (or waiting times) at a global scale. We then reveal the congestion points, which strongly correlate with port waiting areas and anchorages. We analyse the data to reveal how times at port areas were affected by the rising number of ships waiting to load or unload cargo. Following this, we transform this data into a ‘port to port’ graph mapping the international flow of containerised trade. We apply methods of graph theory, complex networks, and multivariate statistics to unravel the hidden relationships between global maritime structure and ship time distribution. This analysis is novel in respect to the size of the data analyzed, the algorithmic approach and the impact of the results which reveal some affinities between pre-COVID and post-COVID shipping patterns.
Comparing Observed and Reanalysis Data for Trends in Heat and Cold Waves in Brazil (1996–2022)
Authors: Silva Alindomar Lacerda , Sheridan Scott , Ibebuchi Chibuike , Lee Cameron 
Published: November 2024

Abstract

This study provides a comparative analysis of the ERA5 reanalysis and Integrated Surface Database (ISD) datasets to evaluate their effectiveness in identifying extreme heat and cold events across Brazil from 1996 to 2022. With Brazil’s vast area and uneven distribution of weather stations, the research emphasizes the suitability of ERA5 in capturing extreme temperature events (ETEs) in data-sparse regions. Key metrics—Pearson correlation, Mean Absolute Error (MAE), Root Mean Square Error (RMSE), hit rates for extreme events, and matching days at the 5th and 95th percentiles—were used to compare datasets. Results revealed a high overall correlation (r = 0.89) between ERA5 and ISD, with notable regional variability, particularly in the North and Northeast. ERA5 data indicated a significant increase in heatwave frequency, especially in the North, where heatwave events rose from an average of 0.96 per year (1996–2004) to 3.10 per year (2014–2022). Conversely, ISD data showed declining heatwave trends in some regions, notably in the Northeast, where heatwave frequency decreased from 2.38 to 1.05 events per year over the same periods. Coldwave trends showed a general decline in both datasets, consistent with global warming. ERA5, for instance, recorded a decrease in coldwave events in the North from 2.38 per year to 0.53 per year. However, ISD data showed less consistency, with minimal declines in the North, Northeast, and Midwest. These discrepancies highlight challenges due to data sparsity and methodological differences but affirm ERA5's utility for ETE detection in regions lacking dense weather station coverage. This study provides critical insights into the strengths and limitations of reanalysis versus station-based data for climate monitoring in Brazil, with implications for future climate research and policy. Keywords: Extreme Heat, Extreme Cold, Reanalysis, Station Data, Brazil.
Mll4 in Skeletal Muscle Fiber Maintains Muscle Stem Cells by Regulating Notch Ligands
Authors: Kim Yea-Eun , Hann Sang-Hyeon , Jo Young-Woo , Yoo Kyusang , Kim Ji-Hoon , Lee Jae W. , Kong Young-Yun 
Published: November 2024

Abstract

Background
Muscle stem cells (MuSCs) undergo numerous state transitions throughout life, which are critical for supporting normal muscle growth and regeneration. Therefore, it is crucial to investigate the regulatory mechanisms governing the transition of MuSC states across different postnatal developmental stages.
Methods
To assess if myofiber-expressed Mll4 contributes to the maintenance of MuSCs, we crossed MCKCre/+ or HSAMerCreMer/+ mice to Mll4f/f mice to generate myofiber-specific Mll4-deleted mice. Investigations were conducted using 8-week-old and 4-week-old MCKCre/+;Mll4f/f mice Investigations were conducted using 8-week-old and 4-week-old HSACre/+;Mll4f/f mice were utilized.
Results
During postnatal myogenesis, Mll4 deleted muscles were observed with increased number of cycling MuSCs that proceeded to a differentiation state, leading to MuSC deprivation. This phenomenon occurred independently of gender. When Mll4 was ablated in adult muscles using the inducible method, adult MuSCs lost their quiescence and differentiated into myoblasts, also causing the depletion of MuSCs. Such roles of Mll4 in myofibers coincided with decreased expression levels of distinct Notch ligands: Jag1 and Dll1 in pubertal and Jag2 and Dll4 in adult muscles.
Conclusions
Our study suggests that Mll4 is crucial for maintaining MuSCs in both pubertal and adult muscles, which may be accomplished through the modulation of distinct Notch ligand expressions in myofibers. These findings offer new insights into the role of myofiber-expressed Mll4 as a master regulator of MuSCs, highlighting its significance not only in developmental myogenesis but also in adult muscle, irrespective of sex.
Genetic neurocognitive profile of autism unveiled with gene transcription
Authors: Hu Sheng , Zhang Yingxing , Li Fangfang , Wu Hongli , Du Wei , Shu Jianhua , Wang Anqing , Xu Chunsheng , Li Chuanfu , Wang Ya 
Published: November 2024

Abstract

The neurobiological basis for elaborating phenotypic heterogeneity within autism spectrum disorder (ASD) remains unknown. Applying the principal component analysis to the Neurosynth database, we established neurocognitive profiles to characterize the phenotypic heterogeneity of ASD, revealing a cortical hierarchical axis that separates the temporal cortex from other networks. By integrating neurocognitive profiles with transcriptomic data, we found that gene sets shaping the patterns of neurocognitive profiles are enriched in ASD-related biological processes and ASD pathogenic risk. Using a data-driven approach, we identified a topographic network for ASD, comprising the temporal, frontal, somatosensory, and visual cortices, with its transcriptomic signatures differentiating between regions over neurodevelopment. Additionally, functional reorganization in ASD within the topographic network has occurred with the temporal cortex as the central node. Collectively, our results reveal spatially covarying transcriptomic and neurocognitive profiles, emphasizing the influence of functional reorganization and its underlying genetic mechanism on phenotypic heterogeneity in ASD.
Polymer Connectivity Governs Electrophotocatalytic Activity in the Solid State
Authors: Milner Phillip , Ling Jianheng , Haar Amy Vonder , Colley Kiser , Kim Juno , Musser Andrew 
Published: November 2024

Abstract

The reductive functionalization of inert substrates like chloroarenes is a critical yet challenging transformation relevant to both environmental remediation and organic synthesis. Combining electricity and light is an emerging approach to access the deeply reducing potentials required for single electron transfer to chloroarenes, yet this approach is held back by the poor stability and mechanistic ambiguity of current homogeneous systems. Incorporating redox-active moieties into insoluble organic materials represents a promising strategy to unlock new heterogeneous catalytic activity while improving catalyst stability. Herein, we demonstrate the first example of heterogeneous electrophotocatalysis using redox-active rylene diimide polymers for the reduction of chloroarenes. In particular, we find that the electrophotocatalytic activity varies significantly not just as a function of the rylene diimide but also of the redox-inactive polymer backbone. In particular, PTCDA-en, a flexible, non-conjugated perylenediimide polymer, outperforms all other tested materials as an electrophotocatalyst. Using transient absorption spectroscopy, we reveal that precomplexation between the closed-shell PTCDA-en2− and the haloarene substrate is key to productive catalysis. Overall, our work represents the first example of heterogeneous electrophotocatalysis using an insoluble redox-active organic material and provides critical insights into how polymer structure dictates electrophotocatalytic activity in the solid state, guiding the development of next-generation heterogeneous (electro)photocatalysts for sustainable synthesis.
Potential of different biobed–biopurification systems in the treatment of domestic sewage
Authors: Singh Anubhuti , Singh Gurudatta , Singh Priyanka , Kumar Mishra Virendra 
Published: November 2024

ABSTRACT

In total, four biobed-biopurification systems (BBPS) were made for treating the wastewater: BBPS1, BBPS2, BBPS3 and BBPS4, and the substrates used in biobeds were rice husk, soil, vermicompost, gravel and sand as an adsorbent in different proportion according to the design and treatment needs. Five litres of primary treated effluent were provided to every setup and the effluents were analysed after different retention intervals, i.e., 0 h, 24 h, 48 h and 72 h for different physio-chemical properties. The findings of the experiment showed that the BBPS1, BBPS2, BBPS3 and BBPS4 was highly efficient to remove organic impurities but much less efficient to eliminate physical impurity. Much faster removal of the pollutants was achieved in the BBPS1 and BBPS2 in comparison to BBPS3 and BBPS4. Both the beds BBPS1 and BBPS2 created favourable circumstances for organic contaminants to biodegrade as for biological oxygen demands (BOD) removal efficiency was 55.35% and 56.44% and chemical oxygen demands (COD) removal efficiency was 85.15% and 70.90%, respectively. Both the setups, i.e., BBPS1 and BBPS 2 are also much more efficient for the removal of biogenic contaminants, i.e., 85.71% and 73.20% for nitrate and 65.12% and 76.99% for phosphate, respectively. Overall, the performance of BBPS2 proved excellent in comparison to other setups by calculation of its removal efficiency percent for different parameters.
Artificial intelligence in water quality monitoring: A review of water quality assessment applications
Authors: Frincu Rodica Mihaela 
Published: November 2024

ABSTRACT

Artificial intelligence (AI) has become a useful tool in numerous domains, including environmental science. This review explores the application of machine learning and deep learning, as AI technologies, applied in calculating and modelling water quality indexes (WQIs) and water quality classification. WQIs are used to assess the overall status of water bodies and compliance with environmental regulations. Given a large amount of monitoring data, traditional methods for calculating WQIs can be labour-intensive and subject to human error. AI offers a compelling alternative, with the potential to enhance accuracy, reduce time, and provide insights into complex environmental data. This paper examines recent progress in applying AI to water quality assessment through WQIs, including the creation of predictive models that incorporate diverse water quality parameters and the implementation of AI in real-time monitoring systems. The challenges of deploying AI, such as data availability, model transparency, and system integration, are also discussed. Through a detailed analysis of recent studies and practical implementations, this review analyses the potential of AI to contribute to water quality management and suggests directions for future research.
Analysis of the Relationship between ALBI Score and APRI Score on Severity, Length of Treatment and Mortality in COVID-19 Patients at Dr. Saiful Anwar Hospital, Malang
Authors: Wibowo Bogi , Mahendra Aditya , Ibad Ahmad , Santoso Dimas , Eldatarina Helsa 
Published: November 2024

Background: Covid-19 is an infectious disease caused by the SARS-CoV-2 virus and has resulted in more than 3.8 million deaths worldwide. Covid-19 can cause multiorgan complications, including hepatobiliary organs. Many assessments have been used to determine the severity and prognosis of hepatobiliary disorders, such as the Albumin Bilirubin (ALBI) score and the AST-platelet ratio index (APRI) score.
Aim: This study aims to determine the relationship between the ALBI score and APRI score with severity, length of treatment, and mortality in COVID-19 infection.
Methods: We conducted a case-control study in a population of adult patients with confirmed COVID-19 who were hospitalized at RSSA in the period January-December 2022. Patients with hepatobiliary and autoimmune disorders were excluded from the sample population for further analysis. Albumin, bilirubin, SGOT, and platelet levels were measured at the beginning of the patient's hospitalization. The correlation between variables was analyzed using the Rank-Spearman test with SPSS 27.
Results: The study subjects' characteristics showed that most patients were more than 60 years old (66.67%). Based on the severity of the disease, five patients (16.67%) were mild, ten patients (33.33%) were moderate, and 15 patients (50%) were severe. Of the 30 patients, 16 recovered (53.33%) and 14 died (46.67%). The majority of subjects did not require treatment in the ICU (66.67%). The results of the Rank-Spearman Test showed that the ALBI score [R=0.372; p=0.043 (p<0.05)] and APRI score [R=0.409; p=0.025 (p<0.05)] were significantly correlated with the mortality of Covid-19 patients but not with the severity and length of treatment.
Conclusion: The conclusion of this study shows that ALBI score and APRI score have a significant relationship with mortality in COVID-19 patients and have the potential to be further studied as predictive factors in assessing the prognosis of COVID-19 patients.
Role of Surveillance Colonoscopy With Mortality Event due to Colorectal Cancer and Cancer Stage Findings in Inflammatory Bowel Disease Patients
Authors: Akbar Muhamad , Bhaskara Rezdy , Wibowo Bogi , Mubarak Husni , Tama Yhang , Faridah Amirah 
Published: November 2024

Background: Patients with Inflammatory bowel disease (IBD), both due to ulcerative colitis (UC) and Crohn’s disease (CD), are at higher risks of having colorectal cancer (CRC). Various guidelines have recommended surveillance using a colonoscopy. However, evidence of its usefulness for prognosis remains a subject of discussion.
Aim: To determined the difference in mortality rate due to CRC and cancer stage between patients IBD who undergo routine surveillance and whoes do not.
Methods: Studies performed searches on database of Science Direct, PUBMED, EBSCO, and Cochrane for research types of randomized controlled trials (RCTs), cohort, or case-controls that evaluate the role of surveillance on patients with IBD regarding to mortalities due to CRC and cancer stage findings. Data were then analyzed using the fixed/random effect model based on heterogeneity to evaluate the odds ratio (ORs) with a 95% confidence interval, calculated using the Mantel-Haenszel method.
Results: Based on five observational studies that evaluated 3,215 patients with Inflammatory Bowel Disease by surveillance, compared with 4,465 control patients, it was found that patients undergoing surveillance have significantly lower mortality due to CRC (15.1%) than the control patients (23.8%) (OR 0.36 (95% CI: 0.24–0.52), p < 0.00001). There are more patients with end-stage colorectal cancer without surveillance (37%) than those with surveillance (20%) (OR 0.28 (95% CI: 0.20–0.41), p < 0.00001).
Conclusion: Patients with inflammatory bowel disease who undergo routine colonoscopy surveillance will have a lower mortality rate and be found with earlier-stage cancer than patients who do not undergo routine colonoscopy examination.
A practical component in the development of the discipline «Food Culture of the Peoples of the World»
Authors: Smirnova M. A. , Solovyanova M. V. 
Published: November 2024

The relevance of the study is due to the need for students to develop practical skills as part of the development of the training course «Food culture of the peoples of the world» for students of the training direction 43.03.03 «Hotel business», profile «Restaurant activity».The purpose of the article is to analyze the practical component in the development of the discipline «Food culture of the peoples of the world» and determine its importance for the formation of professional competencies of future specialists in the field of tourism and hospitality.The tasks follow from the research topic and consist in revealing the essence of the discipline «Food culture of the peoples of the world»; to consider its practical component; to conduct a study of the intercultural level of the clientele of Kursk catering enterprises used for practical training by students of the training direction 43.03.03 «Hospitality», the profile «Restaurant activity»; to develop recommendations for improving the training course.The research methodology includes analysis, synthesis, comparison, generalization, which were supplemented by methods of observation, conversation, and questioning.The result of the study was the development of recommendations for improving the practical component of the discipline «Food culture of the peoples of the world» for students of the training direction 43.03.03 «Hotel business», profile «Restaurant activity».
Development of an experimental oculographic test battery as part of a software and hardware complex for diagnosing the tendency to computer gaming addiction
Authors: Kaydalova D. A. , Kuznetsova A. A. 
Published: November 2024

Currently, the problem of determining the state of the individual in the «norm-pathology» continuum for non-chemical addictions remains relevant. Our analysis of diagnostic materials allows us to conclude that the vast majority of methods for diagnosing computer gaming addiction are foreign clinical scales translated into Russian, built on the basis of the clinical criteria of the American Psychiatric Association. In connection with this fact, as well as the rapid development of society and the digitalization the practical psychology are needed to modern and effective psychodiagnostic techniques.The research was carried out with the financial support of the Federal State Budgetary Institution «Fund for Assistance to the Development of Small Innovative Enterprises in the Scientific and Technical Sphere» (Innovation Promotion Fund) within the framework of the implementation of innovation project.Purpose of the study - to develop an experimental oculographic test battery for diagnosing computer gaming addiction.Methods. In the empirical research of the first stage of work we used the following methods: clinical conversation; psychodiagnostic methods: method of multilateral personality research by S. Hathaway, J. McKinley (adapted by F.B. Berezina, M.P. Miroshnikova), style of self-regulation of behavior by V.I. Morosanova, questionnaire of volitional self-control by A.G. Zverkova, E.V. Eidman, Distress, Depression, Anxiety and Somatization Questionnaire by B. Terluin (adapted by A.B. Smulevich). To assess oculomotor reactions (fixation duration, number of fixations), we used the GP3 Gazepoint remote software and hardware system for assessing oculomotor reactions.We used the Spearman rank correlation coefficient (p ≤ 0.05) for study the relationships between the structural-dynamic parameters of oculomotor reactions and the personal characteristics of respondents.Results. During the first stage of the work, we obtained the following scientific results: requirements for digital images that make up visual stimuli, and for the visual stimuli themselves have been formulated; stimulus images have been developed to assess the tendency to computer gaming addiction; we was carried out a comparative analysis and studied the relationship between the structural and dynamic parameters of oculomotor reactions and the personal characteristics of respondents; we has been developed the experimental oculographic test battery to diagnose computer gaming addiction.Conclusion. Requirements for visual stimuluses will become part of the guidelines to the oculographic test battery, which will be developed in the second stage of work. Comparative analysis made it possible to identify the most effective visual stimulus that we included in the experimental oculographic test battery.
Image Advertising: Realising Metaphorical Potential of Polycode Text of Image Advertising
Authors: Annenkova A. V. 
Published: November 2024

The article is devoted to the problem of metaphorical potential of polycode texts of image advertising in modern mass media.The relevance is determined by the increased interest in advertising as well as the change in the functional orientation of advertising by implicit knowledge usage.The purpose of the research is to study some peculiarities of multimodal conceptual metaphor in polycode text of image advertising, in particular the implementation of the cognitive mechanism of metaphorical transfer when perceiving metaphorical images encoded in the advertising, and the subsequent formation of an internal image of an advertising object in an individual lexicon.The objectives of the study are to consider the notion of image advertising and its structural and compositional features, use of metaphor in the advertising along with the analysis of the cognitive-psychological impact of images created by multimodal conceptual metaphors on an individual.The object of the study is a polycode image advertising text of verbal and nonverbal architectonics.The subject of the study is the functional potential of metaphor and metaphorical constructs in terms of their contextual interrelation. The following research methods are used: theoretical analysis of scientific literature on the problem under study, descriptive method, discursive analysis.Interest in the study of the functional potential of image advertising is due to its impact on the consciousness of the target audience. The pragmatic orientation of advertising determines its logical and emotional content, the specificity of verbal and non-verbal components and their structural and compositional organisation. Use of multimodal metaphors is an effective technique for creating a memorable image of advertising as it triggers complex psychological mechanisms that directly influence associative thinking and individual lexicon of a respondent connecting an external image created in an advertisement and an internal image formed by an individual in their individual lexicon. Thus the imagery of metaphor not only shows the phenomena of reality but due to the manipulating techniques influence the respondent transforming their attitude to the reality shown in advertising.