bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of symptom duration and mechanical circulatory support on prognosis in cardiogenic shock complicating acute myocardial infarction
Authors: Klein Florien , Crooijmans Caïa , Peters Elma J. , van ’t Veer Marcel , Timmermans Marijke J. C. , Henriques José P. S. , Verouden Niels J. W. , Kraaijeveld Adriaan O. , Bunge Jeroen J. H. , Lipsic Erik , Sjauw Krischan D. , van Geuns Robert-Jan M. , Dedic Admir , Dubois Eric A. , Meuwissen Martijn , Danse Peter , Bleeker Gabe , Montero-Cabezas José M. , Ferreira Irlando A. , Brouwer Jan , Teeuwen Koen , Otterspoor Luuk C. ,   PCI registration committee of the Netherlands Heart Registration
Published: July 2024

Abstract
Background
Mortality rates in patients with cardiogenic shock complicating acute myocardial infarction (AMICS) remain high despite advancements in AMI care. Our study aimed to investigate the impact of prehospital symptom duration on the prognosis of AMICS patients and those receiving mechanical circulatory support (MCS).

Methods and results
We conducted a retrospective cohort study with data registered in the Netherlands Heart Registration. A total of 1,363 patients with AMICS who underwent percutaneous coronary intervention between 2017 and 2021 were included. Patients presenting after out-of-hospital cardiac arrest were excluded. Most patients were male (68%), with a median age of 69 years (IQR 61–77), predominantly presenting with ST-elevation myocardial infarction (86%). The overall 30-day mortality was 32%. Longer prehospital symptom duration was associated with a higher 30-day mortality with the following rates: < 3 h, 26%; 3–6 h, 29%; 6–24 h, 36%; ≥ 24 h, 46%; p < 0.001. In a subpopulation of AMICS patients with MCS (n = 332, 24%), symptom duration of > 24 h was associated with significantly higher mortality compared to symptom duration of < 24 h (59% vs 45%, p = 0.029). Multivariate analysis identified > 24 h symptom duration, age and in-hospital cardiac arrest as predictors of 30-day mortality in MCS patients.

Conclusion
Prolonged prehospital symptom duration was associated with significantly increased 30-day mortality in patients presenting with AMICS. In AMICS patients treated with MCS, a symptom duration of > 24 h was an independent predictor of poor survival. These results emphasise the critical role of early recognition and intervention in the prognosis of AMICS patients.
Effect of Pre-Deformation on Precipitation in Al–Zn–Mg–Cu Alloy
Authors: Rhee Yujin , Thronsen Elisabeth , Ryggetangen Oskar , Marioara Calin D. , Holmestad Randi , Kobayashi Equo 
Published: July 2024

AbstractIn this work, strengthening effects and evolution of precipitates in a pre-deformed Al–Zn–Mg–Cu alloy during ageing were investigated using Vickers hardness measurements, tensile tests, and high angle annular dark field scanning transmission electron microscopy (HAADF-STEM). It was found that all cold rolled conditions had higher mechanical strength than the non-deformed condition for all ageing times and that this effect increases at higher deformation ratios. It was also found that the non-deformed condition has a higher age hardening response than that of the cold rolled conditions. A homogeneous precipitate distribution was observed in the non-deformed condition, while the cold rolled conditions contained non-uniformly distributed precipitates due to the introduced dislocations. This led to larger precipitate sizes and a reduction in the precipitate number densities in the pre-deformed conditions. HAADF-STEM analysis revealed differences in the fraction of different precipitate types between the non-deformed and the cold rolled conditions. η', η2, and disordered η phase were observed in the non-deformed condition, while η', η2 and the newly identified Y phase were observed in the cold rolled conditions. The disordered η phase contained structural units of the η1 phase and was associated with reducing the lattice misfit between this phase and the Al matrix. Formation of the Y phase was related to an accelerated nucleation rate in the regions of high dislocation density.
Graphical abstract
The first mydid fly (Diptera: Mydidae) from the Paleocene maar of Menat (France)
Authors: Nel André , Wedmann Sonja 
Published: July 2024

AbstractPaleomydas menatensis gen. et sp. nov., the third known fossil mydid fly, is described from the Paleocene of Menat (France). The fossil fly is remarkable in its very broad hind femur, a rather infrequent character in this family, which is mainly present in the Neotropical genera Mapinguari and Ceriomydas, and to a less pronounced degree, in the Nearctic genus Phyllomydas. But the lack of information on the antenna and genitalia structures forbids us to specify its relationships within the Mydidae more precisely. Thus we propose to attribute it to a new genus. The systematic affiliation of the late Eocene Mydas miocenicus from Florissant is discussed. Because of the rarity of Diptera in the insect assemblage of the Menat outcrop, the present discovery could suggest that this nowadays rather rare family was more frequent during the Paleocene than today.
Optical dromions with fractional temporal evolution by enhanced modified tanh expansion approach
Authors: Murad Muhammad Amin S. , Iqbal Mujahid , Arnous Ahmed H. , Biswas Anjan , Yildirim Yakup , Alshomrani Ali Saleh 
Published: July 2024

AbstractThe current work studies optical dromions that are governed by the nonlinear Schrödinger’s equation. The fractional temporal evolution is considered to suppress the Internet bottleneck that is a growing problem in the rising demand for Internet connectivity across the globe. The model is addressed by the enhanced modified tanh expansion approach. This reveals optical dromions that would emerge with slow evolution and thus introduce traffic signaling effect with optical dromion transmission.
A transformer-based Urdu image caption generation
Authors: Hadi Muhammad , Safder Iqra , Waheed Hajra , Zaman Farooq , Aljohani Naif Radi , Nawaz Raheel , Hassan Saeed Ul , Sarwar Raheem 
Published: July 2024

AbstractImage caption generation has emerged as a remarkable development that bridges the gap between Natural Language Processing (NLP) and Computer Vision (CV). It lies at the intersection of these fields and presents unique challenges, particularly when dealing with low-resource languages such as Urdu. Limited research on basic Urdu language understanding necessitates further exploration in this domain. In this study, we propose three Seq2Seq-based architectures specifically tailored for Urdu image caption generation. Our approach involves leveraging transformer models to generate captions in Urdu, a significantly more challenging task than English. To facilitate the training and evaluation of our models, we created an Urdu-translated subset of the flickr8k dataset, which contains images featuring dogs in action accompanied by corresponding Urdu captions. Our designed models encompassed a deep learning-based approach, utilizing three different architectures: Convolutional Neural Network (CNN) + Long Short-term Memory (LSTM) with Soft attention employing word2Vec embeddings, CNN+Transformer, and Vit+Roberta models. Experimental results demonstrate that our proposed model outperforms existing state-of-the-art approaches, achieving 86 BLEU-1 and 90 BERT-F1 scores. The generated Urdu image captions exhibit syntactic, contextual, and semantic correctness. Our study highlights the inherent challenges associated with retraining models on low-resource languages. Our findings highlight the potential of pre-trained models for facilitating the development of NLP and CV applications in low-resource language settings.
Hierarchical Bayesian Integrated Modeling of Age- and Sex-Structured Wildlife Population Dynamics
Authors: Mukhopadhyay Sabyasachi , Piepho Hans-Peter , Bhattacharya Sourabh , Dublin Holly T. , Ogutu Joseph O. 
Published: July 2024

AbstractBiodiversity of large wild mammals is declining at alarming rates worldwide. It is therefore imperative to develop effective population conservation and recovery strategies. Population dynamics models can provide insights into processes driving declines of particular populations of a species and their relative importance. But there are insufficient tools, namely population dynamics models for wild herbivores, for characterizing their decline and for guiding conservation and management actions. Therefore, we have developed a model which can serve as a tool to fill that void. Specifically, we develop an integrated Bayesian state-space population dynamics model for wildlife populations and illustrate it using a topi population inhabiting the Greater Mara-Serengeti Ecosystem in Kenya and Tanzania. The model integrates ground demographic survey with aerial survey monitoring data. It incorporates population age and sex structure and life history traits and strategies and relates birth rates, age-specific survival rates and sex ratios with meteorological covariates, prior population density, environmental seasonality and predation risk. It runs on a monthly time step, enabling accurate characterization of reproductive seasonality, phenology, synchrony and prolificacy of births, juvenile and adult recruitments. Model performance is evaluated using balanced bootstrap sampling and by comparing model predictions with empirical aerial population size estimates. The hierarchical Bayesian model is implemented using MCMC methods for parameter estimation, prediction and inference and reproduces several well-known features of the Mara topi population, including striking and persistent population decline, seasonality of births, juvenile and adult recruitments. It is general and can be readily adapted for other wildlife species and extended to incorporate several additional useful features. Supplementary materials accompanying this paper appear on-line.
Kinetics of dengue viremia and its association with disease severity: an ambispective study
Authors: Bhatt Puneet , Jayaram Anup , Varma Muralidhar , Mukhopadhyay Chiranjay 
Published: July 2024

Abstract
Background
Dengue virus (DENV) infection is an important public health problem and causes significant morbidity and mortality. DENV typically causes a febrile illness that ranges from mild asymptomatic infection to fatal dengue hemorrhagic fever (DHF) and/or dengue shock syndrome (DSS). Early prediction of severe dengue disease is of utmost importance for providing prompt monitoring and treatment. The search for an ideal biomarker (host or viral factors) for early prediction of severe dengue remains elusive.

Aim
To standardize a real time qRT-PCR for quantifying dengue viremia in serum samples and evaluate the kinetics of dengue viremia and its significance in disease severity.

Results
In this ambispective study of 126 laboratory confirmed dengue patients, 72 were primary infections and 54 were secondary infections. The most common serotype was serotype 1 (n = 37) followed by serotype 2 (n = 34). According to WHO 1997 dengue case classification, 111 patients were cases of dengue fever (DF), 13 from DHF and 02 from DSS. Day 3 viremia levels were significantly elevated in severe dengue patients (DHF/DSS) as compared to that of DF (p < 0.05). However, no such association was found between viremia levels and serotype or immune status.

Conclusion
Dengue viremia has a significant association with disease severity and day 3 viremia levels may be used as a predictor for dengue disease severity.
Method of Average Vertical Earth Pressure for HFCCTs Based on Differential Settlement
Authors: Li Sheng , He Yongze , Ho I.-Hsuan , Ma Li , Yang Wenbo , Wang Changdan 
Published: July 2024

AbstractThis paper presents a modified and simplified calculation method, taking into account the differential settlement between the soil columns surrounding the cut-and-cover. High-filled cut-and-cover tunnels (HFCCT) are usually subjected to high earth pressures above the top of the CCT due to an ultra-high backfill. However, the estimation methods for earth pressure above the top of CCT are ambiguous. Through the theoretical analysis of the average vertical earth pressure (AEP) at the top of the CCT, it is found that an additional earth pressure above the top of the overburden pressure is induced, and the magnitude is related to the differential settlement between interior and exterior soil columns. Thus, through a combined theoretical derivation and numerical analysis, a modified formula is proposed. The results show that the vertical earth pressure increment above the top of CCT can be linearly correlated to the differential settlement. In addition, the correlation needs to be calibrated by considering several effects on sites, such as slope angle, groove-width ratios, cross-sectional shape, and the type of backfill. The change in influencing factors has no effect on the function type of the p−δ fitting curve, but it will affect the coefficient k.
Vitrification as a Key Solution for Immobilisation Within Nuclear Waste Management
Authors: Ojovan Michael I. 
Published: July 2024

AbstractVitreous materials in the form of both relatively homogeneous glasses and composite glass crystalline materials (GCM) incorporating disperse crystalline phases are currently the most reliable wasteforms effectively used on industrial scale for nuclear waste immobilisation. Glasses are stable solid-state materials with a topologically disordered atomic structure in the form of solid solutions, i.e. solutions frozen via vitrification to a solid state without forming regular crystalline phases. Nuclear waste vitrification is attractive because of technological and compositional flexibility enabling hazardous elements to be safely immobilised and providing a glassy material characterised by high corrosion resistance, mechanical and radiation durability, as well as effectively reducing the volume of the resulting wasteform.
Gender stereotypes in eating disorder recognition
Authors: Sala Margaret , Coll Sofia , Flamer Rachel 
Published: July 2024

Abstract
Purpose
Eating disorder (ED) awareness is low. We assessed if ED symptom recognition, perceived need for treatment, perceived distress, perceived acceptability, and perceived prevalence differed depending on the gender of the individual with the ED.

Methods
276 community participants were randomly assigned to one of three gender conditions (female, male, and non-binary), read three vignettes describing three different individuals with ED symptoms [anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED)], and then answered a series of questions related to participants ED symptom recognition, perceived need for treatment, perceived distress associated with having ED symptoms, perceived acceptability (e.g., the extent to which it may not be too bad to have an ED), and perceived prevalence. Mixed ANOVAs and chi-square analyses were conducted to examine differences between groups.

Results
There were no significant main effects of gender condition across the outcome variables. There were main effects of ED type for problem recognition, perceived need for treatment, perceived level of distress, and perceived prevalence, with participants being more likely to recognize a problem in the AN and BN vignettes than the BED vignettes, refer for treatment and rate a higher perceived level of distress in then AN vignette than the BN and BED vignettes, and perceive a higher prevalence rate in the BN vignette than the AN vignette. There was a significant gender by condition interaction for perceived prevalence, with participants rating a higher prevalence of AN in women and non-binary individuals than men and a higher prevalence of BN in women than non-binary individuals and men.

Conclusion
These results highlight the importance of education on EDs and awareness that EDs can occur in any individual, regardless of their gender identification.

Level of evidence
Level I, experimental study with randomization.
A processable high thermal conductivity epoxy composites with multi-scale particles for high-frequency electrical insulation
Authors: Song Yan-Hui , Yin Li-Juan , Zhong Shao-Long , Feng Qi-Kun , Wang Haidong , Zhang Pinjia , Xu Hai-Ping , Liang Tong , Dang Zhi-Min 
Published: July 2024

AbstractThe solid-state transformer (SST) in the renewable energy grid is developing in the way of high voltage and high frequency, which often results in a sharp increase in heat production of the equipment and accelerates the failure of the insulating materials. Epoxy resin (EPR) is commonly used as an insulation material for SST due to its excellent electrical insulating properties, processing performance (viscosity), and low price. However, the thermal conductivity of EPR is only about 0.2 W/(m·K), which leads to poor insulating performance under high frequency and temperature. To enhance thermal conductivity, a substantial quantity of highly thermally conductive particles is incorporated into the EPR, accompanied by a severe increase in electrical insulation defects and viscosity. This study utilized a multi-scale particle-filled approach to investigate the thermal conductivity, processing characteristics, and high-frequency electrical insulation performance of composites. The composite, filled with 25 µm BN and 5 µm SiO2 particles, enhances thermal conductivity to 0.732 W/(m·K) and demonstrates superior electrical insulating properties at both 10 kHz and 20 kHz bipolar square waves (with an increase of 131.76% and 163.97% in relative EPR, respectively), as well as good processability. Meanwhile, it is found that the dielectric loss, thermal conductivity, and electric field distribution of the composite are the main factors affecting the electrical insulating properties from 10 to 20 kHz under high voltage.
Graphical Abstract
Environmental Behaviour of Synthesized and Commercial Agricultural Zinc Products: Leaching, Migration, and Availability in Soils
Authors: de Francisco Marina , Romeiro Andreia , Durães Luisa , Álvarez-Torrellas Silvia , Ibañez Miguel Angel , Almendros Patricia 
Published: July 2024

AbstractThe aim of this paper is to examine the environmental effect of different chemical characteristics of Zinc (Zn) sources, assessing the transport, leaching and accumulation in the environment in sand, acidic (AS) and calcareous (CS) soils. Comparative short- and long-term studies applying ZnO sources [bulk, laboratory-synthesized and commercial nanoparticles (NP)], ZnSO4, complexed Zn (Zn-lignosulfonate) and chelated Zn (Zn-diethylenetriamine-pentaacetate, Zn-hydroxy-ethylenediamine-tetraacetate and Zn-ethylenediamine-tetraacetate) were carried out. For all treatments and media, the medium- and long-term dissolution kinetic model was fitted to a logistic function. The applied Zn in the form of ZnO was mainly retained at the upper half (0–7.5 cm) of the columns and in very available form (ranging 40–61% of added Zn in AS and 29–31% in CS). Leached Zn reached values below 6% in AS and 3% in CS. The use of chelated Zn in both soils and complexed Zn, and ZnSO4 in AS resulted in excessive leaching of Zn (around 70%). The amount of Zn available at the upper half of the column was less than 5%. In the CS, these fertilizers showed a higher aging than ZnO sources, negatively affecting its availability as a nutrient for crops. ZnO NP showed short- and medium-term dissolution kinetics that allow gradual nutrient release and high availability at the medium-term. These products provide an effective solution for plant nutrition while mitigating the environmental problems observed with more traditional sources related to leaching.
Graphical Abstract
Many-Objective Whale Optimization Algorithm for Engineering Design and Large-Scale Many-Objective Optimization Problems
Authors: Kalita Kanak , Ramesh Janjhyam Venkata Naga , Čep Robert , Jangir Pradeep , Pandya Sundaram B. , Ghadai Ranjan Kumar , Abualigah Laith 
Published: July 2024

AbstractIn this paper, a novel Many-Objective Whale Optimization Algorithm (MaOWOA) is proposed to overcome the challenges of large-scale many-objective optimization problems (LSMOPs) encountered in diverse fields such as engineering. Existing algorithms suffer from curse of dimensionality i.e., they are unable to balance convergence with diversity in extensive decision-making scenarios. MaOWOA introduces strategies to accelerate convergence, balance convergence and diversity in solutions and enhance diversity in high-dimensional spaces. The prime contributions of this paper are—development of MaOWOA, incorporation an Information Feedback Mechanism (IFM) for rapid convergence, a Reference Point-based Selection (RPS) to balance convergence and diversity and a Niche Preservation Strategy (NPS) to improve diversity and prevent overcrowding. A comprehensive evaluation demonstrates MaOWOA superior performance over existing algorithms (MaOPSO, MOEA/DD, MaOABC, NSGA-III) across LSMOP1-LSMOP9 benchmarks and RWMaOP1-RWMaOP5 problems. Results validated using Wilcoxon rank sum tests, highlight MaOWOA excellence in key metrics such as generational distance, spread, spacing, runtime, inverse generational distance and hypervolume, outperforming in 71.8% of tested scenarios. Thus, MaOWOA represents a significant advancement in many-objective optimization, offering new avenues for addressing LSMOPs and RWMaOPs’ inherent challenges. This paper details MaOWOA development, theoretical basis and effectiveness, marking a promising direction for future research in optimization strategies amidst growing problem complexity.
Urban land use, land cover change and urban microclimate dynamics in Addis Ababa, Ethiopia
Authors: Negesse Mulugeta Demisse , Hishe Solomon , Getahun Kefelegn 
Published: July 2024

AbstractLand surface temperature (LST) increases and urban heat island (UHI) variability are the major urban climatology problems arising in urban development. This study attempts to assess the effects of urban land use and land cover change on microclimate dynamics in Addis Ababa city. Three different sets of remotely sensed data from Landsat 5 TM (1990), Landsat 7 ETM+ (2005) and Landsat 8 OLI/TIRS (2021) were used for the study. LSTs were retrieved from Landsat5 TM and Landsat7 ETM+ using a mono window,and the thermal infrared band (TR-10) of Landsat–8 was used to retrieve LST. Regression and correlation analyses of the LST, normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) were performed in SPSS V23. The study also examined the different residential urban morphology types (UMTs) of the LST and NDVI. The selected built-up blocks of UMTs included apartments, villas and mud houses. These UMTs are extracted by digitizing them from the Google Earth explorer. The results from this study showed that the proportion of urban green space (UGS) to other LULC types decreased from 120.4 km2 in 1990 to 76.26 km2 in 2021. However, the built-up area increased at a rate of 216.5 km2 (39.03%) from 1990 to 2021. The rapid expansion of built-up land in the study area was the main factor influencing the increase in LST. The residential UMTs exhibited significant differences in mean LSTs and NDVIs. The results indicate that UMT inhibited by Villia had the highest mean NDVI value and that the highest mean LST was observed in Apartment. The results of multiple linear regression analysis clearly indicate that built-up and green vegetation contributed 92.2% of the LST variations with R2 = 0.92 and VIF ≤ 10 in Addis Ababa city. The results of the study indicate that strengthening public participation in urban greening and optimizing the NDVI and NDBI are important strategies for mitigating the effects of microclimate change and that sustaining urban development and providing better quality of life for the urban population are important.