bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pulmonale Beteiligung bei systemischer Sklerose
Authors: Hermann Maria , Guettler Bastian , Zeder Katarina , Moazedi-Fürst Florentine , Talakic Emina , Kneidinger Nikolas , Flick Holger 
Published: December 2024

ZusammenfassungDie systemische Sklerose (SSc) ist eine schwerwiegende autoimmune Bindegewebserkrankung, die jedes Organ betreffen kann. Die Haupttodesursache der SSc ist jedoch bedingt durch pulmonale Komplikationen, die sich entweder als interstitielle (ILD) oder als vaskuläre Lungenerkrankung (pulmonale Hypertonie, PH) manifestieren können. Die Diagnostik ist mehrstufig und erfolgt in der Regel über funktionelle und bildmorphologische Diagnostik. Die definitive Abklärung sowie Behandlung beider Komplikationen sollten im Expertenzentrum erfolgen.
Automated generation of dispatching rules for the green unrelated machines scheduling problem
Authors: Frid Nikolina , Ɖurasević Marko , Gil-Gala Francisco Javier 
Published: December 2024

Abstract
The concept of green scheduling, which deals with the environmental impact of the scheduling process, is becoming increasingly important due to growing environmental concerns. Most green scheduling problem variants focus on modelling the energy consumption during the execution of the schedule. However, the dynamic unrelated machines environment is rarely considered, mainly because it is difficult to manually design simple heuristics, called dispatching rules (DRs), which are suitable for solving dynamic, non-standard scheduling problems. Using hyperheuristics, especially genetic programming (GP), alleviates the problem since it enables the automatic design of new DRs. In this study, we apply GP to automatically design DRs for solving the green scheduling problem in the unrelated machines environment under dynamic conditions. The total energy consumed during the system execution is optimised along with two standard scheduling criteria. The three most commonly investigated green scheduling problem variants from the literature are selected, and GP is adapted to generate appropriate DRs for each. The experiments show that GP-generated DRs efficiently solve the problem under dynamic conditions, providing a trade-off between optimising standard and energy-related criteria.
Spatio-Temporal Keyword Query Processing Based on Key-Value Stores
Authors: Li Ruiyuan , He Xiang , Sun Yingying , Jiang Jun , Shang You , Li Guanyao , Chen Chao 
Published: December 2024

AbstractWith the popularity of mobile devices and the development of location technology, there is an increasing amount of text data with spatial and temporal tags generated. Querying with spatial, temporal, and keyword constraints on such data, known as spatio-temporal keyword query (STK query), is of great significance. However, most existing STK query solutions rely on tree-based indexes designed for stand-alone architectures, which struggle to scale for big data. Key-value stores, with the keys as their indexes, are designed for big data scenarios. On one hand, key-value stores can only support one-dimensional indexes initially, which makes them unsuitable for multi-dimensional STK queries. On the other hand, key-value stores put their indexes out of the memory, making it inevitable to trigger many unnecessary disk I/Os and slow down the query efficiency. To this end, based on key-value stores, we provide the first attempt by combining the in-memory index with on-disk index to efficiently support STK queries. Specifically, we design two-layer filters as the in-memory index, which enormously prunes unqualified spatio-temporal keyword combinations. An eviction policy is employed for the in-memory index, allowing it to support an infinite amount of data with limited memory usage. We deploy our solution on both HBase and Redis, conducting extensive experiments with two real and one synthetic datasets. The experimental results demonstrate that our solution achieves approximately twice the query efficiency of the state-of-the-art key-value based solutions, and is much more scalable than the tree-based competitor.
Risk of Instagram Dieting Trends on Eating Behaviour and Body Satisfaction in Women of Different Age and Body Mass Index
Authors: Davey Caitlin , Newman Emily , Hare Joanna , Fluck David , Han Thang Sieu 
Published: December 2024

Abstract The social media platform Instagram popularises a “healthy eating” movement, but some of its trends may be harmful. We assessed the risk of viewing #cleaneating and #whatieatinaday content on eating behaviours using adapted items from a short version of the Eating Disorder Examination Questionnaire (EDE-Q) and body satisfaction using the Body Image States Scale (BISS). A total of 403 women aged 18–78 years recruited through snowball and opportunity sampling were randomised into three study groups: #cleaneating (n = 140), #whatieatinaday (n = 141) and #nature (n = 122) as control. Participants completed online EDE-Q (lower score indicated more disordered eating behaviour) and BISS scales before and after viewing the content of their assigned hashtag. Post-exposure EDE-Q or BISS scores below pre-exposure (baseline) scores were defined as deficit scores. Logistic regression, adjusted for age and BMI, and presented as odds ratios (OR) and 95% confidence intervals (CI), was used to compare deficit scores between study groups. The overall baseline mean (SD) age was 26.7 years (11.7), BMI 23.3 kg/m2 (3.6), EDE-Q 2.7 (1.0) and BISS scores 5.6 (0.8), which were similar between study groups. Compared to control (#nature), EDE-Q scores were reduced after exposure to #cleaneating and #whatieatinaday (ANOVA: P < 0.001), and there was an increased risk for having deficit EDE-Q scores after exposure to #cleaneating: OR = 2.86 (95% CI = 1.68–4.90), and to #whatieatinaday: OR = 2.58 (95% CI = 1.52–4.39). The corresponding ORs were higher in younger age (18–21 years) but similar in different BMI categories. Exposure to #cleaneating or #whatieatinaday did not change BISS scores. A single exposure to #cleaneating and #whatieatinaday content on Instagram may encourage disordered eating behaviours, especially in younger women. Future research should examine the effects of this type of diet advice media on all genders, race, ethnicity, socioeconomic, educational and marital status, as well as LGBTQ + identity, over the longer term and after exposure to video-based content.
Application of microscopic image processing and artificial intelligence detecting and classifying the spores of three novel species of Trichoderma
Authors: Soltani Nezhad Fatemeh , Rahnama Kamran , Javidan Seyed Mohamad , Asefpour Vakilian Keyvan 
Published: December 2024

AbstractTrichoderma is a type of fungus genus usually used in agriculture to prevent and control various plant diseases. One of the ways Trichoderma helps control plant diseases is by producing secondary metabolites that prevent the growth of pathogens. The ability to identify Trichoderma spores is important to detect the presence of this fungus in plants and soil. However, traditional microscopic techniques used for spore detection are time-consuming and tedious, and require the intervention of highly skilled technicians, leading to delayed diagnosis and ineffective control measures. Microscopic image processing techniques have been developed to make the spore detection process intelligent, resulting in a faster and more accurate output. In this study, a microscopic image dataset has been developed, followed by identifying and classifying the spores of three Trichoderma species including T. harzianum, T. atroviride, and T. virens using microscopic image processing techniques. The genetic algorithm was used to identify the most effective visual features for spore classification, including color, texture, and shape. Then, using the identified effective features, the random forest was capable of classifying the spores with an accuracy of 95.38%. Also, the classification precision results for T. harzianum, T. atroviride, and T. virens were obtained as 100, 90.48, and 95.24% respectively. This study showed that texture is the most important visual feature for spore classification. Besides, the findings reveal that instead of deep learning-based methods which require big data for training, traditional feature extraction methods still provide promising results with low computational complexities. The use of such new techniques can help control plant diseases more effectively by providing faster and more accurate detection of Trichoderma spores in crop plants.
Biogenic carbonate samples: Preliminary tests on chemical protocols for radiocarbon analysis
Authors: Oliveira M I , Carvalho C , Tremmel D , Silveira C , Brito A A , Oliveira F M , Moreira V N , Macario K , Bastos L , Moreira M , Lopes R T 
Published: December 2024

AbstractMost of the carbonate samples have a basic well-defined pretreatment protocol for 14C-AMS dating, but particularities of specific organisms have to be treated with care. This is the case of stromatolite samples, in which carbonate is formed by biogenesis and also has a porous structure that could contain recent organic material as a contaminant. In this work, we analyzed the differences in the radiocarbon content by using organic matter removals before chemical treatment with HCl: sodium hypochlorite (NaOCl) a 0.7M solution with pH ∼11, and hydrogen peroxide (H2O2) an 8.8M solution with pH ∼5. These treatments were chosen because they are the most used in stromatolite samples for geochemical analysis. To compare the impact of the organic matter removal treatments in stromatolite samples we also processed them as regular carbonate samples for radiocarbon analysis, with no organic matter removal (control samples). X-ray diffraction and X-ray fluorescence have been used to obtain mineral and elemental characterization, respectively. H2O2 could not influence the results of Mg-calcite concentrate samples. The use of NaOCl appears to have been effective in preserving more material than H2O2 independent of the mineralogical composition of the stromatolite layers. The F14C results after HCl etching for Mg-calcite concentrated samples were similar to those without etching suggesting that the HCl etching does not impact the results in this case. The organic matter removal is more important than the etching procedure for stromatolite samples. NaOCl is more indicated to be used as chemical pretreatment for radiocarbon analysis purposes independent of the mineral matrix of samples.
A power structure over the Grothendieck ring of geometric dg categories
Authors: Gyenge Adam 
Published: December 2024

AbstractWe prove the existence of a power structure over the Grothendieck ring of geometric dg categories. We show that a conjecture by Galkin and Shinder (proved recently by Bergh, Gorchinskiy, Larsen and Lunts) relating the motivic and categorical zeta functions of varieties can be reformulated as a compatibility between the motivic and categorical power structures. Using our power structure, we show that the categorical zeta function of a geometric dg category can be expressed as a power with exponent the category itself. We give applications of our results for the generating series associated with Hilbert schemes of points, categorical Adams operations and series with exponent a linear algebraic group.
Impact of climate and traditional practice on quality of homemade dahi
Authors: Chandran Archana , Beena Athrayil Kalathil 
Published: December 2024

AbstractThis research communication aimed at assessing the microbial quality and preparation practices of dahi/thayir, a popular traditional fermented milk product, in households from two distinct agroecological zones in Kerala, India, namely the high-range and central midland, We highlighted the significant variations and potential food safety concerns associated with regional differences in production methods. The local climate significantly influenced the incubation temperature of dahi/thayir, thereby influencing the types of microflora involved in the fermentation process. Data on preparation practices and sensory preferences were collected from producers during the sampling process, covering 200 households. There were significant variations in preparation practices between the two regions, particularly concerning the type of container used, inoculation rate and incubation period. Samples from the high-range region exhibited significantly higher acidity and coliform count as well as yeast and mold count than the central midland region. The household fermentation of milk is often uncontrolled, causing increased acidity levels. This uncontrolled fermentation favored the growth of contaminants such as coliforms and yeast, posing a potential threat to food safety. This study underscores the importance of understanding microbial quality variations and preparation practices in dahi/thayir production, emphasizing the need for proper fermentation techniques and hygienic practices to ensure the safety and quality of this traditional fermented milk product.
Non‐Migrating Thermospheric Tides Shift and Deform the Solar Quiet Current Vortex Over Asia
Authors: Zhang Pengyu , Sun Yang‐Yi , Chen Chieh‐Hung , Yisimayili Aisa , Mao Zhiqiang 
Published: December 2024

AbstractVariations in the Solar quiet (Sq) current are typically attributed to the changes in atmospheric tides. In this study, we analyzed the ground‐based observations of the geomagnetic field to investigate the morphology of the Sq current over Asia (from 130° to 70°E). The analysis shows that the Sq current vortex deforms into a tilted ellipse over East Asia as it moves northwestward, which is more complex than previously thought. We also estimated the current generated by the polarized electric field (JEp) in the E‐region from the non‐migrating tidal winds of TIMED/TIDI (TIMED Doppler Interferometer on board the Thermosphere Ionosphere Mesosphere Energetics Dynamics satellite). The estimation is a qualitative approximation based on the fundamental polarization concept. We used the Observing Procedure Experiment (OPE) to reconstruct the Sq current and to evaluate its deformation and movement deviating from the geomagnetic equator. The results show that JEp can contribute to the shift and deformation of the Sq current. The observation and estimation indicate that the ionospheric current system modulated by winds blowing nonuniformly causes complex variations in the E‐region dynamo over Asia. This study additionally attempts to simulate the Sq vortex from the Thermosphere Ionosphere Electrodynamics General Circulation Model. Similarities and differences between the simulation and the observation are also discussed.
Pre‐Existing Off‐Fault Damage Can Impede Coseismic On‐Fault Slip
Authors: Wu C. H. , Cui P. , Klinger Y. , Tan X. B. , Yi S. J. , Li Y. S. 
Published: December 2024

AbstractPrimarily due to the scarce direct field evidence along a same fault, understanding the relationship between the pre‐existing off‐fault damage and coseismic slip distribution remains challenging. This study offers the first field‐based quantitative assessments of fault damage zones along the surface rupture generated by the 2008 Mw 7.9 Wenchuan earthquake in China over eight profiles with 254 outcrops. The width and mean tectonic fracture intensity of the damage zones exhibit pronounced variations along the fault strike. We introduce the damage index as a proxy to quantify the extent of pre‐existing damage. We find a statistically significant anti‐correlation between the damage index and coseismic on‐fault slip. We thus infer that pre‐existing off‐fault damage plays a significant role in dissipating rupture energy, thereby reducing coseismic on‐fault slip. This study provides a natural case for linking the long‐term fault zone evolution and the short‐term earthquake rupture dynamics.
Probing the Ionospheric Effects of the 2020 Aegean Sea Earthquake: Leveraging GNSS Observations for Tsunami Early Warning in the Mediterranean
Authors: Fuso F. , Ravanelli M. 
Published: December 2024

AbstractOn 30 October 2020, a Mw 7.0 earthquake occurred in the eastern Aegean Sea area north of Samos island (Greece), causing tsunami waves up to 3 m. In this work, we analyze Global Navigation Satellite System (GNSS) observations to investigate the induced ionospheric perturbation in total electron content (TEC) estimates. We observe TEC variations (up to 0.3 TECU), linked to the propagation of the internal gravity waves (IGWs) caused by the small tsunami. Comparison between IGWs arrival times in the ionosphere and the tsunami wave arrival at tide gauges reveals that the optimal observation geometries of ionospheric TEC detected the tsunami's arrival before it reached Kos and Hraklreio coastlines. We show that TEC variations, though slight, can be used to complement existing tsunami early warning systems, particularly in the Mediterranean region where such phenomena are not deeply investigated. Integrating TEC data alongside traditional seismic sensors and sea level measurements can assure a more robust early warning system capable of detecting and mitigating the effects of also small but impactful tsunamis.
Possibility of Fluid Flow Characterization via a Geophysical Signal: Experimental Study on the Krauklis Wave Under Fluid Flow
Authors: Ray Sananda , Cao Haitao , Waite Gregory P. , Askari Roohollah 
Published: December 2024

AbstractKrauklis waves are generated by pressure disturbances in fluid‐filled cavities and travel along the solid‐fluid interface. Their far‐field radiation, observed in seismic data from volcanoes or hydraulic fracturing, is known as long‐period events. Characterized by low velocity and resonance, Krauklis waves help estimate fracture size and discern fluids in saturated fractures. Despite numerous theoretical models analyzing Krauklis waves, the existing paradigms are founded on static flow conditions. However, in geological contexts, the assumption of static flow may not be valid. We developed an experimental apparatus using a tri‐layer model consisting of a pair of aluminum plates to examine the effect of fluid flow on Krauklis waves. We employed an infusion syringe pump to inject fluids into the fracture under different flow rates. We used water, oil, and an aqueous solution of Polyethylene glycol as fracture fluids. We calculated resonant frequency, phase velocity, and quality factor to characterize the Krauklis waves. Our findings reveal that an increase in flow rate leads to a higher phase velocity, higher quality factor, and a shift to higher resonant frequency when the flow is in the direction of initial wave propagation while decreasing amplitude. Additionally, when the flow is in the opposite direction of initial wave propagation, we note higher wave absorption and distortion of the Krauklis waves. Our observations unequivocally affirm that fluid flow leaves strong signatures on the Krauklis waves, providing a robust basis for characterizing fluid dynamics within geological settings through the analysis of Krauklis wave.
Blood pressure measurement technique in clinical practice in the NHS Greater Glasgow and Clyde
Authors: Setjiadi Dellaneira , Geddes Colin , Delles Christian 
Published: December 2024

AbstractBlood pressure (BP) measurement is a common procedure conducted in various disciplines and is widely available on clinical reports. The diagnosis and management of hypertension require reliable measurement of BP in outpatient clinics. Published studies suggest the standardised method for BP measurement is difficult to apply in routine clinical practice. This study aimed to assess the current practice of BP measurement in outpatient clinics in relevant secondary care clinical specialties across the 15 separate hospital sites of the NHS Greater Glasgow and Clyde region (population 1.2 million) compared to the recommended standardised method. An online questionnaire was developed and disseminated to the supervising clinician of each of 268 regular outpatient clinics. The questionnaire focused on the standardised BP method (patient preparation, environment, and BP measurement technique). The questionnaire was returned for 110 clinics. 73 (66.4%) of the participating clinics measure BP routinely and these formed the basis for further analysis. 3 clinics (4.1%) apply all components of the standardised BP method. 5 (6.9%) clinics deliver advice to patients prior to clinic attendance on how to prepare for BP measurement. 61 (83.6%) of participating clinics have a dedicated quiet environment for BP measurement. 50 (68.5%) clinics always place the cuff on bare upper arm and 63.0% use a cuff size appropriate to upper arm circumference. In a wide range of secondary care out-patient clinic settings, we found that BP measurement rarely adheres to the recommended standards. This has important implications for the quality of treatment decisions that are based on BP measurement.
Acute kidney injury associated with increased costs in the neonatal intensive care unit: analysis of Pediatric Health Information System database
Authors: Steflik Heidi J. , Selewski David T. , Corrigan Corinne , Brinton Daniel L. 
Published: December 2024

Abstract
Objective
Compare neonatal intensive care unit hospitalization costs between neonates with and without AKI; identify predictors of AKI-associated costs. We hypothesized neonates with AKI would amass more costs than those without AKI.

Study design
Retrospective, multicenter cohort study of surviving neonates cared for 2015–2021 in Pediatric Health Information System database. The primary outcome was estimated hospitalization costs.

Results
Data from 304,725 neonates were evaluated, 8774 (3%) with AKI and 295,951 (97%) without AKI. Neonates with AKI had $58,807 greater adjusted costs than those without AKI. AKI-associated costs were most strongly driven by Feudtner Pediatric Complex Chronic Conditions Classifications (cardiovascaular, congenital/genetic, gastrointestinal, medical technology) and gestational age. Adjusted costs decreased with increasing gestational age, regardless of AKI status.

Conclusions
AKI is independently associated with increased hospital costs. Knowledge of these drivers can help in identifying high-value practices for cost mitigation strategies.