bluuebunny/crossref_metadata_2025_split huggingface dataset:
Challenges in diagnosing pediatric pericarditis and the etiology in remote areas during the COVID-19 pandemic: a socio-clinical dilemma
Authors: Liwan Armand Setiady , Yantie Ni Putu Veny Kartika , Gunawijaya Eka 
Published: May 2024

Inflammation of the visceral and parietal surfaces of the pericardium is defined as pericarditis. It can evolve to excessive production of pericardial effusion if the speed of fluid accumulation is faster than the absorption. Acute pericarditis is rare in children but it can lead to circulatory collapse and death. It accounts for <0.2% of the emergency visits of children without prior heart diseases in tertiary pediatric emergency settings. The etiology of acute pericarditis varies depending on geography, and the most common etiology in children are bacterial infection, viral pericarditis, inflammatory or connective tissue diseases, malignancies, metabolic diseases, and post-cardiac surgery. Idiopathic pericarditis is presumed to have viral or post-viral etiology. It accounts for 37-68% of admissions in children with pericardial effusions or acute pericarditis.
Excess Weight, Polygenic Risk Score, and Findings of Colorectal Neoplasms at Screening Colonoscopy
Authors: Fu Ruojin , Chen Xuechen , Niedermaier Tobias , Seum Teresa , Hoffmeister Michael , Brenner Hermann 
Published: May 2024

INTRODUCTION:
Excess weight is an established risk factor of colorectal cancer (CRC). However, evidence is lacking on how its impact varies by polygenic risk at different stages of colorectal carcinogenesis.

METHODS:
We assessed the individual and joint associations of body mass index (BMI) and polygenic risk scores (PRSs) with findings of colorectal neoplasms among 4,784 participants of screening colonoscopy. Adjusted odds ratios (aORs) for excess weight derived by multiple logistic regression were converted to genetic risk equivalents (GREs) to quantify the impact of excess weight compared with genetic predisposition.

RESULTS:
Overweight and obesity (BMI 25–<30 and ≥30 kg/m2) were associated with increased risk of any colorectal neoplasm (aOR [95% confidence interval, CI] 1.26 [1.09–1.45] and 1.47 [1.24–1.75]). Obesity was associated with increased risk of advanced colorectal neoplasm (aOR [95% CI] 1.46 [1.16–1.84]). Dose-response relationships were seen for the PRS (stronger for advanced neoplasms than any neoplasms), with no interaction with BMI, suggesting multiplicative effects of both factors. Obese participants with a PRS in the highest tertile had a 2.3-fold (95% CI 1.7–3.1) and 2.9-fold (95% CI 1.9–4.3) increased risk of any colorectal neoplasm and advanced colorectal neoplasm, respectively. The aOR of obesity translated into a GRE of 38, meaning that its impact was estimated to be equivalent to the risk caused by 38 percentiles higher PRS for colorectal neoplasm.

DISCUSSION:
Excess weight and polygenic risk are associated with increased risk of colorectal neoplasms in a multiplicative manner. Maintaining normal weight is estimated to have an equivalent effect as having 38 percentiles lower PRS.
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
Authors: Park Jeongmin Brian , Mailthody Vikram Sharma , Qureshi Zaid , Hwu Wen-mei 
Published: May 2024

Graph Neural Networks (GNNs) are emerging as a powerful tool for learning from graph-structured data and performing sophisticated inference tasks in various application domains. Although GNNs have been shown to be effective on modest-sized graphs, training them on large-scale graphs remains a significant challenge due to the lack of efficient storage access and caching methods for graph data. Existing frameworks for training GNNs use CPUs for graph sampling and feature aggregation, while the training and updating of model weights are executed on GPUs. However, our in-depth profiling shows CPUs cannot achieve the graph sampling and feature aggregation throughput required to keep up with GPUs. Furthermore, when the graph and its embeddings do not fit in the CPU memory, the overhead introduced by the operating system, say for handling page-faults, causes gross under-utilization of hardware and prolonged end-to-end execution time.
To address these issues, we propose the GPU Initiated Direct Storage Access (GIDS) dataloader, to enable GPU-oriented GNN training for large-scale graphs while efficiently utilizing all hardware resources, such as CPU memory, storage, and GPU memory. The GIDS dataloader first addresses memory capacity constraints by enabling GPU threads to directly fetch feature vectors from storage. Then, we introduce a set of innovative solutions, including the dynamic storage access accumulator, constant CPU buffer, and GPU software cache with window buffering, to balance resource utilization across the entire system for improved end-to-end training throughput. Our evaluation using a single GPU on terabyte-scale GNN datasets shows that the GIDS dataloader accelerates the overall DGL GNN training pipeline by up to 582× when compared to the current, state-of-the-art DGL dataloader.
Disruption of the c‐terminal serine protease domain of Fam111a does not alter calcium homeostasis in mice
Authors: Tan Rebecca Siu Ga , Lee Christy Hui Lin , Pan Wanling , Wohlgemuth Serene , Doschak Michael R. , Alexander R. Todd 
Published: May 2024

AbstractFAM111A gene mutations cause Kenney–Caffey syndrome (KCS) and Osteocraniostenosis (OCS), conditions characterized by short stature, low serum ionized calcium (Ca2+), low parathyroid hormone (PTH), and bony abnormalities. The molecular mechanism mediating this phenotype is unknown. The c‐terminal domain of FAM111A harbors all the known disease‐causing variations and encodes a domain with high homology to serine proteases. However, whether this serine protease domain contributes to the maintenance of Ca2+ homeostasis is not known. We hypothesized the disruption of the serine protease domain of FAM111A would disrupt Ca2+ homeostasis. To test this hypothesis, we generated with CRISPR/Cas9, mice with a frameshift insertion (c.1450insA) or large deletion (c.1253‐1464del) mutation in the Fam111a serine protease domain. Serum‐ionized Ca2+ and PTH levels were not significantly different between wild type, heterozygous, or homozygous Fam111a mutant mice. Additionally, there were no significant differences in fecal or urine Ca2+ excretion, intestinal Ca2+ absorption or overall Ca2+ balance. Only female homozygous (c.1450insA), but not heterozygous mice displayed differences in bone microarchitecture and mineral density compared to wild‐type animals. We conclude that frameshift mutations that disrupt the c‐terminal serine protease domain do not induce a KCS or OCS phenotype in mice nor alter Ca2+ homeostasis.
Association between arterial health and cognition in adolescents: The PANIC study
Authors: Jalanko Petri , Bond Bert , Laukkanen Jari A. , Brage Soren , Ekelund Ulf , Laitinen Tomi , Määttä Sara , Kähönen Mika , Haapala Eero A. , Lakka Timo A. 
Published: May 2024

AbstractWe investigated the associations of the measures of arterial health with cognition in adolescents and whether physical activity (PA) or sedentary time (ST) confounds these associations. One hundred sixteen adolescents (71 boys) aged 15.9 ± 0.4 participated in the study. PA and ST were assessed using a combined accelerometer/heart rate monitor. Overall cognition was computed from the results of psychomotor function, attention, working memory, and paired‐associate learning tests. Pulse wave velocity was measured by impedance cardiography, carotid intima‐media thickness, and carotid artery distensibility by carotid ultrasonography. Systolic and diastolic blood pressure (SBP and DBP) were measured using an aneroid sphygmomanometer. SBP was inversely associated with overall cognition (standardized regression coefficient [β] = −0.216, 95% confidence interval (CI) −0.406 to −0.027, p = 0.025). Pulse wave velocity (β = −0.199, 95% CI −0.382 to −0.017, p = 0.033) was inversely associated with working memory task accuracy. SBP was directly associated with reaction time in the attention (β = 0.256, 95% CI 0.069 to 0.443, p = 0.008) and errors in the paired‐associate learning tasks (β = 0.308, 95% CI 0.126 to 0.489, p = 0.001). Blood pressure was inversely associated with overall cognition. PA or ST did not confound the associations. Results suggest that preventing high blood pressure is important for promoting cognition in adolescents.
The First Croatian to Arrive in China, Jesuit Ivan Vreman (1583–1620)
Authors: Peng Yuchao 
Published: May 2024

Abstract
The Croatian Jesuit Ivan Vreman is recorded in historical literature as the first Croatian to arrive in China. He was born in Split, Dalmatia in 1583, joined the Jesuit Order in 1600, set sail from Portugal for Asia in 1615, arrived first in Macao of China in 1616, and then traveled northward into the mainland of China. He died of illness in Nanchang in 1620 at the age of 37. This article, with the help of historical materials in Croatian, Latin, English, Chinese, and other languages, reconstructs the life of Ivan Vreman and the history of cultural exchange between the East and the West in the late Ming dynasty from several aspects, including his educational background, scientific achievements, missionary journey to the East, and experiences in China.
Exploring the evolving landscape of human-centred crisis informatics: current challenges and future trends
Authors: Kaufhold Marc-André 
Published: May 2024

Abstract
Modern Information and Communication Technology (ICT) has been used in safety-critical situations for over twenty years. Rooted in Human-Computer Interaction (HCI) and related disciplines, the field of crisis informatics made considerable efforts to investigate social media use and role patterns in crises, facilitate the collection, processing and refinement of social media data, design and evaluate supportive ICT, and provide cumulative and longitudinal research. This narrative review examines contemporary challenges of human-centred crisis informatics and envision trends for the following decade, including (I) a broadening scope of crisis informatics, (II) the professionalisation of cross-platform collaboration of citizen communities and emergency services, (III) expert interfaces for explainable and multimodal artificial intelligence for user-generated content assessment, (IV) internet of things and mobile apps for bidirectional communication and warnings in disruption-tolerant networks, as well as (V) digital twins and virtual reality for the effective training of multi-agency collaboration in hybrid hazards.
Cu(II) complexes using acylhydrazones or cyclen for biocidal antifouling coatings
Authors: Robinson Hannah , Daines Alison M. , Brackovic Amira , Williams D. Bradley G. , Sims Ian M. , Hinkley Simon F.R. 
Published: May 2024

Abstract
Copper and copper-based compounds have broad spectrum antimicrobial activity, but concerns about leaching into the environment and toxicity on non-target organisms is leading the use of copper-based coatings being restricted. Our objective was to develop coatings that used the biocidal activity of copper, but with low negative impacts by reducing its leaching into the environment. This study reports the synthesis and characterisation of copper coordinating ligands, their formulation into coatings and testing of their antibacterial activity. A polyacylhydrazone and a series of simple acylhydrazones were synthesised and coordinated to Cu(II), but were considered unsuitable due to either their poor water-solubility or high levels of copper leaching. In an alternative approach, copper was successfully chelated to the tetraazamacrocycle, cyclen, and used to synthesise Cu(II)-cyclen functionalised silica particles, which were successfully combined with commercial paint formulations. These functionalised products showed poor antibacterial activity when incorporated into epoxy coatings, probably due to the low copper content of the formulations. However, these ligands may have other applications, such as removal of heavy metals from contaminated effluent steams.
Mechanisms of Centralisation towards a Post-Yugoslav Dominant Class: The Case of Slovenia
Authors: González-Villa Carlos 
Published: May 2024

Abstract
This article analyses Slovenia’s independent statehood as the result of interactions between three relatively autonomous societal groups which had coexisted, albeit not harmoniously, since the liberal reforms of 1960s socialist Yugoslavia: the political bureaucracy, the ideological–cultural bureaucracy, and the technocracy. The transformation of these three groups into the dominant class in the newly independent Slovenia materialised through mechanisms of mediation of state power, as identified by Göran Therborn. Specifically, these mechanisms of centralising the three groups consisted of coercion, ideology, and extraction. Over the course of the 1980s, the three groups coordinated and began to project themselves as one class. They presented themselves to the working class through the emerging state institutions, and completed the transition to capitalism in Slovenia by dismantling the Yugoslav federation. Ultimately, the configuration of this dominant class through the process leading towards sovereignty created the conditions for its subsequent reproduction.
Wenn Natur technisierte Gesellschaft stabilisieren soll: Zur Relevanz soziogeologischer Relationen in der Entsorgung radioaktiver Abfälle
Authors: Schürkmann Christiane 
Published: May 2024

Zusammenfassung
Am Fall der Entsorgung radioaktiver Abfälle analysiert der Beitrag, wie Gesellschaften Wissen über ihre Tiefengründe produzieren, um langfristig stabile Entsorgungsszenarien zu entwickeln. Hierzu wird untersucht, wie geologische Formationen in ein solches Entsorgungsvorhaben eingebunden bzw. gar als handlungstragend adressiert werden. Im Zentrum der Untersuchung stehen soziogeologische Relationen im Feld der naturwissenschaftlichen Endlagerforschung. Aus einer soziomateriell orientierten ethnografischen Perspektive wird gezeigt, wie Wirtsgesteinen stabilisierende Fähigkeiten aber auch Anfälligkeiten mit Blick auf Endlagervorhaben zugeschrieben werden. Zudem wird das Experimentieren mit ‚endlagerrelevanten‘ Materialien in Laboratorien fokussiert. Ziel des Beitrags ist die Formulierung einer Soziologie der Entsorgung im Gefüge von Natur, Technik und Gesellschaft.
Donauwasserflockung mit Aluminiumsulfat?
Authors: Schneck Alexander , Lucke Thomas 
Published: May 2024

Die europaweite Knappheit an eisenhaltigen Flockungsmitteln hat zu Problemen in der Wasseraufbereitung geführt. Die Landeswasserversorgung in Langenau war gezwungen, Aluminiumsulfat als Alternative zu Eisenchloridsulfat zu untersuchen. Laborversuche wurden durchgeführt, um für die bestehende Flockungssedimentationsanlage optimale Betriebsparameter auszuloten. Eine Dosis von 5 bis 6 mg/L Al3+ mit resultierenden pH-Werten von 7,3 bis 7,4 lieferte gute Ergebnisse. Im großtechnischen Versuch verlief der Wechsel auf Aluminiumsulfat erfolgreich, ein „Plan B“ für die Zukunft liegt nun vor.
Seismic Tomography 2024
Authors: Fichtner Andreas , Kennett Brian L. N. , Tsai Victor C. , Thurber Clifford H. , Rodgers Arthur J. , Tape Carl , Rawlinson Nicholas , Borcherdt Roger D. , Lebedev Sergei , Priestley Keith , Morency Christina , Bozdağ Ebru , Tromp Jeroen , Ritsema Jeroen , Romanowicz Barbara , Liu Qinya , Golos Eva , Lin Fan-Chi 
Published: May 2024

ABSTRACT
Seismic tomography is the most abundant source of information about the internal structure of the Earth at scales ranging from a few meters to thousands of kilometers. It constrains the properties of active volcanoes, earthquake fault zones, deep reservoirs and storage sites, glaciers and ice sheets, or the entire globe. It contributes to outstanding societal problems related to natural hazards, resource exploration, underground storage, and many more. The recent advances in seismic tomography are being translated to nondestructive testing, medical ultrasound, and helioseismology. Nearly 50 yr after its first successful applications, this article offers a snapshot of modern seismic tomography. Focused on major challenges and particularly promising research directions, it is intended to guide both Earth science professionals and early-career scientists. The individual contributions by the coauthors provide diverse perspectives on topics that may at first seem disconnected but are closely tied together by a few coherent threads: multiparameter inversion for properties related to dynamic processes, data quality, and geographic coverage, uncertainty quantification that is useful for geologic interpretation, new formulations of tomographic inverse problems that address concrete geologic questions more directly, and the presentation and quantitative comparison of tomographic models. It remains to be seen which of these problems will be considered solved, solved to some extent, or practically unsolvable over the next decade.
Joint Inversion of Surface-Wave Dispersions and Receiver Functions Based on Deep Learning
Authors: Wang Feiyi , Song Xiaodong , Li Jiangtao 
Published: May 2024

Abstract
We proposed a deep learning (DL) method to derive VS models from joint inversion of Rayleigh-wave dispersions and receiver functions, which is based on multilabel convolutional neural network and recurrent neural network. We used a spline-based approach to generate synthetic models instead of directly using existing models to build the training data set, which improves the generalization of the method. Unlike the traditional methods, which usually set a fixed VP/VS ratio, our method makes full use of the powerful data mining ability of DL to invert the VS models assuming different VP/VS ratios. A loss function is specially designed that focuses on key features of the model space, for example, the shape and depth of Moho. Synthetic tests demonstrate that the proposed method is accurate and fast. Application to the southeast margin of the Tibetan Plateau shows results consistent with the previous joint inversion with P constraints, indicating the proposed method is reliable and robust.
The Development of Soviet Higher Education in the Context of Science and Technology Policy
Authors: Karateev Artem 
Published: May 2024

The article discusses the influence of the Soviet science and technology policy on the structure of the higher education system, activities of the universities, the content of the educational process in the 1920s — 1930s. Particular attention is paid to the process of reorientation of higher education from the training of generalists to the training of narrowly specialized specialists and an increase in their output, due to the needs of the economy of the USSR during the period of accelerated industrialization.
Potencial y desafíos del análisis de discurso en la investigación, formación y docencia interdisciplinarias.
Authors: Salgado Andrade Eva 
Published: May 2024

Objetivo: Reflexionar sobre el potencial y los desafíos de la propuesta teórico metodológica del análisis de discurso, para tareas interdisciplinarias de investigación y docencia en ciencias sociales y humanidades.
Originalidad/aporte: El análisis de discurso permite aproximarse cualitativamente a una gama ilimitada de fenómenos sociales. Sin embargo, no siempre resultan claros los procedimientos para llevarlo a cabo, o se les considera exclusivos de disciplinas como la lingüística o la semiótica
Método: Reflexiones basadas en experiencias directas de investigación, docencia y formación.
Estrategias de recolección de información: El punto de partida es definir el concepto de discurso y su trascendencia para la vida social, así como reflexionar cómo puede ser analizado desde diversas disciplinas y los puntos de convergencia entre discurso y otros conceptos que se materializan en lenguaje, por ejemplo, ideología, poder o identidad. A continuación se plantean las condiciones inexorables para analizar discursos: perspectivas interdisciplinarias, complejas, multiescalares y siempre enmarcadas en el contexto. Por último, se exploran posibles aplicaciones del análisis de discurso en ciencias sociales y humanidades. Una mirada interdisciplinaria y compleja al análisis cualitativo de los discursos.
Conclusión: Explotar el potencial del análisis del discurso para aproximarse a diversos fenómenos sociales, requiere borrar fronteras disciplinarias y construir objetos de estudio complejos, que consideren el contexto y la dimensión histórica, desde perspectivas multiescalares e interdisciplinarias.
THE EFFECT OF JOB SATISFACTION TOWARD HEALTH WORKER’S SERVICE QUALITY OF VILLAGE HEALTH COTTAGE IN SITUBONDO DISTRICT
Authors: Andayani Kartika Sari , Sugiyanta  , Iqbal Muhammad 
Published: May 2024

Introduction: The quality of health worker services is an important parameter to increase the pace of health development. The decline in the quality of health worker services was caused by a decrease in the job satisfaction of health workers. Based on the report on standardization of the quality of Ponkesdes services at the Situbondo District Health Office (2020), the number of Ponkesdes that received the title of "fulfilling" in 2020 has decreased from the previous year by 8%. Aims: To determine the effect of job satisfaction on the quality of service for health workers. Methods: This type of research uses explanatory research. The sample of this study was 268 nurses and midwives at village health cottage in Situbondo Regency. Data collection techniques were compiled on the Google Form platform and distributed in the form of links through social media groups. Data analysis used path analysis through multiple linear regression. Results: The results of the path analysis study show that the work motivation and competence of health workers in Pondok Sehat Desa in Situbondo Regency substantially influence job satisfaction. Employee satisfaction at Pondok Sehat Desa greatly influences the quality of health services. Conclusion: The government can provide health worker development programs and remuneration restructuring that can stimulate the intrinsic and extrinsic motivational elements for health workers at Village Health Cottage in Situbondo Regency. It is vital to create a health service management roadmap.
THE ROLE OF MENTAL WORKLOAD IN INVESTING QUALITY OF LIFE AMONG WORKERS IN THE PHOSPHORIC ACID INDUSTRY
Authors: Syaiful Dayinta Annisa , Martiana Tri , Paskarini Indriati , Ankhofiya Deanida 
Published: May 2024

Introduction: Every workplace has potential hazards, one of which is psychological hazards, namely work stress. The stress felt by workers can interfere with their work activities if not controlled immediately. In Indonesia, 11.6–17.3% of the 150 million adult population suffers from stress at work. Moreover, job stress can be caused by various factors. Aims: To assess workers’ quality of work life by analyzing the relationship between mental workload and work stress. Moreover, this research investigates the individual characteristics, mental workload level, and stress level between workers. Methods: This research is a quantitative study using an observational design and a cross-sectional technique. The participants in this study were all 35 maintenance personnel. Mental workload and work stress are assessed using NASA-TLX and DASS-21 questionnaire, respectively. Results: The collected data are statistically analyzed using the Spearman correlation test and the Cramer contingency coefficient correlation test. The results showed that mental workload has a strong relationship with work stress which is in the strong category (r= 0,679) and the direction of the relationship is unidirectional. Conclusion: The conclusion of this study is that the higher the mental workload possessed by workers, the higher the level of perceived work stress. Therefore, the company can reduce work stress by conducting both individual and organizational strategies