bluuebunny/crossref_metadata_2025_split huggingface dataset:
An artificial intelligence-assisted microfluidic colorimetric wearable sensor system for monitoring of key tear biomarkers
Authors: Wang Zihu , Dong Yan , Sui Xiaoxiao , Shao Xingyan , Li Kangshuai , Zhang Hao , Xu Zhenyuan , Zhang Dongzhi 
Published: June 2024

AbstractThe precise, simultaneous, and rapid detection of essential biomarkers in human tears is imperative for monitoring both ocular and systemic health. The utilization of a wearable colorimetric biochemical sensor exhibits potential in achieving swift and concurrent detection of pivotal biomarkers in tears. Nevertheless, challenges arise in the collection, interpretation, and sharing of data from the colorimetric sensor, thereby restricting the practical implementation of this technology. To overcome these challenges, this research introduces an artificial intelligence-assisted wearable microfluidic colorimetric sensor system (AI-WMCS) for rapid, non-invasive, and simultaneous detection of key biomarkers in human tears, including vitamin C, H+(pH), Ca2+, and proteins. The sensor consists of a flexible microfluidic epidermal patch that collects tears and facilitates the colorimetric reaction, and a deep-learning neural network-based cloud server data analysis system (CSDAS) embedded in a smartphone enabling color data acquisition, interpretation, auto-correction, and display. To enhance accuracy, a well-trained multichannel convolutional recurrent neural network (CNN-GRU) corrects errors in the interpreted concentration data caused by varying pH and color temperature in different measurements. The test set determination coefficients (R2) of 1D-CNN-GRU for predicting pH and 3D-CNN-GRU for predicting the other three biomarkers were as high as 0.998 and 0.994, respectively. This correction significantly improves the accuracy of the predicted concentration, enabling accurate, simultaneous, and quick detection of four critical tear biomarkers using only minute amounts of tears ( ~ 20 μL). This research demonstrates the powerful integration of a flexible microfluidic colorimetric biosensor and deep-learning algorithm, which holds immense potential to revolutionize the fields of health monitoring.
An AS-OCT image dataset for deep learning-enabled segmentation and 3D reconstruction for keratitis
Authors: Sun Yiming , Maimaiti Nuliqiman , Xu Peifang , Jin Peng , Cai Jingxuan , Qian Guiping , Chen Pengjie , Xu Mingyu , Jia Gangyong , Wu Qing , Ye Juan 
Published: June 2024

AbstractInfectious keratitis is among the major causes of global blindness. Anterior segment optical coherence tomography (AS-OCT) images allow the characterizing of cross-sectional structures in the cornea with keratitis thus revealing the severity of inflammation, and can also provide 360-degree information on anterior chambers. The development of image analysis methods for such cases, particularly deep learning methods, requires a large number of annotated images, but to date, there is no such open-access AS-OCT image repository. For this reason, this work provides a dataset containing a total of 1168 AS-OCT images of patients with keratitis, including 768 full-frame images (6 patients). Each image has associated segmentation labels for lesions and cornea, and also labels of iris for full-frame images. This study provides a great opportunity to advance the field of image analysis on AS-OCT images in both two-dimensional (2D) and three-dimensional (3D) and would aid in the development of artificial intelligence-based keratitis management.
Job-related exhaustion risk variant in UST is associated with dementia and DNA methylation
Authors: Sulkava Sonja , Haukka Jari , Kaivola Karri , Doagu Fatma , Lahtinen Alexandra , Kantojärvi Katri , Pärn Kalle , Palta Priit , Myllykangas Liisa , Sulkava Raimo , Laatikainen Tiina , Tienari Pentti J. , Paunio Tiina 
Published: June 2024

AbstractPrevious genome-wide association and replication study for job-related exhaustion indicated a risk variant, rs13219957 in the UST gene. Epidemiological studies suggest connection of stress-related conditions and dementia risk. Therefore, we first studied association of rs13219957 and register-based incident dementia using survival models in the Finnish National FINRISK study surveys (N = 26,693). The AA genotype of rs13219957 was significantly associated with 40% increased risk of all-cause dementia. Then we analysed the UST locus association with brain pathology in the Vantaa 85+ cohort and found association with tau pathology (Braak stage) but not with amyloid pathology. Finally, in the functional analyses, rs13219957 showed a highly significant association with two DNA methylation sites of UST, and UST expression. Thus, the results suggest a common risk variant for a stress-related condition and dementia. Mechanisms to mediate the connection may include differential DNA methylation and transcriptional regulation of UST.
Determinants of financial inclusion gaps in Pakistan and implications for achieving SDGs
Authors: Razzaq Amar , Qin Shengze , Zhou Yewang , Mahmood Irfan , Alnafissa Mohamad 
Published: June 2024

AbstractThis study investigates the determinants of gender disparities in financial inclusion in Pakistan using Global Findex 2021 survey data. We aim to quantify gender gaps in financial access and use, and to analyze the socio-economic factors influencing these disparities. Grounded in Sen’s capability approach and behavioral economics, we employ logistic regression to examine how gender influences the ownership and usage of financial products. Our results reveal significant gender gaps: only 13% of Pakistani women have financial accounts compared to 34% of men, with similar disparities in digital finance. Socio-economic variables like education, income, and employment are found to influence financial inclusion differently for men and women. While generally supportive of financial inclusion, these factors have a weaker effect for women, suggesting deeper societal barriers. This study adds to the global financial inclusion discourse by providing a comprehensive analysis of gender disparities in Pakistan. Our findings highlight the need for gender-sensitive policies that address these disparities to achieve Sustainable Development Goals related to gender equality and economic empowerment.
Effect of nanosilica on the hydrological properties of loess and the microscopic mechanism
Authors: Wang Li , Liu Qian , Li Xi-An , Qin Biao , Hong Bo , Shi Jianfeng 
Published: June 2024

AbstractLoess areas, such as the Loess Plateau, are characterized by a fragile ecological environment, high soil erosion, and frequent geological disasters due to the unique hydrological properties of loess (e.g., collapsibility and permeability). Therefore, the loess must be stabilized for use in engineering construction. Traditional stabilizers (lime, cement, and fly ash) cause environmental problems, such as soil salinization and greenhouse gas emissions. Therefore, this study investigated the effect of nanosilica on the hydrological properties of loess and the microscopic mechanism. Different nanosilica contents (0.2%, 0.4%, 0.8%, 1%, and 3%) were added to loess sample, and the particle size distribution, Atterberg limits, collapsibility, and soil water characteristics were analyzed. The results revealed the following. The addition of nanosilica changed the particle size distribution, liquid limit, plastic limit, and plasticity index of loess. After the addition of nanosilica with different contents, the loess collapsibility coefficient curve shifted downward, the soil water retention curve shifted upward, and the unsaturated permeability coefficient curve shifted downward. The pores between particles were filled, and the number of large and medium pores and the pore connectivity were lower after the nanosilica addition. The surface of the coarse particles adsorbed more fine particles, and a large number of micro-aggregates or clay aggregates were present in the pores between particles. In conclusion, the environmentally friendly material nanosilica can be used to improve the hydrological properties of loess, which is applicable to alleviating soil erosion and preventing geological disasters on the Loess Plateau.
Neuroforensomics: metabolites as valuable biomarkers in cerebrospinal fluid of lethal traumatic brain injuries
Authors: Bohnert Simone , Reinert Christoph , Trella Stefanie , Cattaneo Andrea , Preiß Ulrich , Bohnert Michael , Zwirner Johann , Büttner Andreas , Schmitz Werner , Ondruschka Benjamin 
Published: June 2024

AbstractTraumatic brain injury (TBI) is a ubiquitous, common sequela of accidents with an annual prevalence of several million cases worldwide. In forensic pathology, structural proteins of the cellular compartments of the CNS in serum and cerebrospinal fluid (CSF) have been predominantly used so far as markers of an acute trauma reaction for the biochemical assessment of neuropathological changes after TBI. The analysis of endogenous metabolites offers an innovative approach that has not yet been considered widely in the assessment of causes and circumstances of death, for example after TBI. The present study, therefore, addresses the question whether the detection of metabolites by liquid-chromatography-mass spectrometry (LC/MS) analysis in post mortem CSF is suitable to identify TBI and to distinguish it from acute cardiovascular control fatalities (CVF). Metabolite analysis of 60 CSF samples collected during autopsies was performed using high resolution (HR)-LC/MS. Subsequent statistical and graphical evaluation as well as the calculation of a TBI/CVF quotient yielded promising results: numerous metabolites were identified that showed significant concentration differences in the post mortem CSF for lethal acute TBI (survival times up to 90 min) compared to CVF. For the first time, this forensic study provides an evaluation of a new generation of biomarkers for diagnosing TBI in the differentiation to other causes of death, here CVF, as surrogate markers for the post mortem assessment of complex neuropathological processes in the CNS (“neuroforensomics”).
The physiological levels of epigallocatechin gallate (EGCG) enhance the Cd-induced oxidative stress and apoptosis in CHO-K1 cells
Authors: Wnuk Ewa , Zwolak Iwona , Kochanowicz Elzbieta 
Published: June 2024

AbstractCurrently, the increasing pollution of the environment by heavy metals is observed, caused both by natural factors and those related to human activity. They pose a significant threat to human health and life. It is therefore important to find an effective way of protecting organisms from their adverse effects. One potential product showing a protective effect is green tea. It has been shown that EGCG, which is found in large amounts in green tea, has strong antioxidant properties and can therefore protect cells from the adverse effects of heavy metals. Therefore, the aim of the study was to investigate the effect of EGCG on cells exposed to Cd. In the study, CHO-K1 cells (Chinese hamster ovary cell line) were treated for 24 h with Cd (5 and 10 µM) and EGCG (0.5 and 1 µM) together or separately. Cell viability, ATP content, total ROS activity, mitochondrial membrane potential and apoptosis potential were determined. The results showed that, in tested concentrations, EGCG enhanced the negative effect of Cd. Further analyses are needed to determine the exact mechanism of action of EGCG due to the small number of publications on the subject and the differences in the results obtained in the research.
The effect of expertise on the creation and evaluation of visual compositions in terms of creativity and beauty
Authors: Mutter Yejeong , Hübner Ronald 
Published: June 2024

AbstractThe identification of artistically creative individuals is an important matter in the fields of art, design, and psychology. One promising approach involves assessing a person's products rather than his or her personality or cognitive processes. However, the necessity of expert involvement in such evaluations is still debated. To investigate this issue, two experiments were conducted, each consisting of a production phase and an evaluation phase. In Experiment 1, participants were asked to compose a most beautiful picture, which was subsequently assessed in terms of beauty. Experiment 2 was analogous, but participants were asked to compose a most creative picture, which was then assessed in terms of creativity and beauty. The results revealed that expertise did not play a crucial role in the creation or evaluation of beauty. Both experts and non-experts largely agreed on what constitutes beauty. However, when it came to the production and assessment of creative pictures, experts had an advantage. They were the only group that was able to predict a person's creativity based on the evaluation of his or her product.
Diffuse microglial responses and persistent EEG changes correlate with poor neurological outcome in a model of subarachnoid hemorrhage
Authors: Geraghty Joseph R. , Butler Mitchell , Maharathi Biswajit , Tate Alexander J. , Lung Tyler J. , Balasubramanian Giri , Testai Fernando D. , Loeb Jeffrey A. 
Published: June 2024

AbstractThe mechanism by which subarachnoid hemorrhage (SAH) leads to chronic neurologic deficits is unclear. One possibility is that blood activates microglia to drive inflammation that leads to synaptic loss and impaired brain function. Using the endovascular perforation model of SAH in rats, we investigated short-term effects on microglia together with long-term effects on EEG and neurologic function for up to 3 months. Within the first week, microglia were increased both at the site of injury and diffusely across the cortex (2.5-fold increase in SAH compared to controls, p = 0.012). Concomitantly, EEGs from SAH animals showed focal increases in slow wave activity and diffuse reduction in fast activity. When expressed as a fast-slow spectral ratio, there were significant interactions between group and time (p < 0.001) with less ipsilateral recovery over time. EEG changes were most pronounced during the first week and correlated with neurobehavioral impairment. In vitro, the blood product hemin was sufficient to increase microglia phagocytosis nearly six-fold (p = 0.032). Immunomodulatory treatment with fingolimod after SAH reduced microglia, improved neurological function, and increased survival. These findings, which parallel many of the EEG changes seen in patients, suggest that targeting neuroinflammation could reduce long-term neurologic dysfunction following SAH.
Analysis of post-market adverse events of tafamidis base on the FDA adverse event reporting system
Authors: Wu Fan , Zhu He , Zhang Yue 
Published: June 2024

AbstractTafamidis is the world's first and only oral drug approved to treat the rare disease transthyretin amyloid cardiomyopathy (ATTR-CM). Medicines are known to have different adverse reactions during the course of treatment. However, the current limited clinical studies did not identify significant adverse drug reactions to tafamidis. Tafamidis has been on the market for 5 years now, a large number of adverse drug event (ADE) reports with tafamidis as the primary suspected drug have been reported in the United Food and Drug Administration's adverse event reporting system (FAERS). We retrieved 8170 adverse event reports in FAERS with tafamidis as the first suspected drug, and mined these reports for positive signals to perform risk warnings for potentially possible adverse events with tafamidis. We found that a large number of adverse events associated with the primary disease were reported due to insufficient awareness of ATTR among the reporters, leading to a large number of positive signals reported in the cardiac disorders system. We also found that tafamidis has the potential to cause an adverse event risks of ear and labyrinth disorders system and urinary tract infection bacterial, which deserve continued clinical attention.
SHAMe-SF: Predicting the clustering of star-forming galaxies with an enhanced abundance matching model
Authors: Ortega-Martinez S. , Contreras S. , Angulo R. 
Published: June 2024

Context. With the advent of several galaxy surveys targeting star-forming galaxies, it is important to have models capable of interpreting their spatial distribution in terms of astrophysical and cosmological parameters.
Aims. We introduce SHAMe-SF, an extension of the subhalo abundance matching (SHAM) technique designed specifically for analysing the redshift-space clustering of star-forming galaxies.
Methods. Our model directly links a galaxy’s star-formation rate to the properties of its host dark matter subhalo, with further modulations based on effective models of feedback and gas stripping. To quantify the accuracy of our model, we show that it simultaneously reproduces key clustering statistics such as the projected correlation function, monopole, and quadrupole of star-forming galaxy samples at various redshifts and number densities. These tests were conducted over a wide range of scales [0.6, 30] h−1 Mpc using samples from both the TNG300 magneto-hydrodynamic simulation and a semi-analytical model.
Results. SHAMe-SF can reproduce the clustering of simulated galaxies selected by star-formation rate as well as galaxies that fall within the colour selection criteria employed by DESI for emission line galaxies.
Conclusions. Our model exhibits several potential applications, including the generation of covariance matrices, exploration of galaxy formation processes, and even placing constraints on the cosmological parameters of the Universe.
The cosmic timeline implied by the JWST reionization crisis
Authors: Melia F. 
Published: June 2024

Context. JWST’s discovery of well-formed galaxies and supermassive black holes only a few hundred million years after the big bang, and the identification of polycyclic aromatic hydrocarbons (PAHs) at z = 6.71, seriously challenge the timeline predicted by ΛCDM. Moreover, the implied bright UV-irradiation of the early Universe suggests a reionization history much too short to comply with the observed evolution of the hydrogen ionization fraction, xHII(z).
Aims. A recent analysis of reionization after JWST concludes that the ΛCDM timeline simply cannot accommodate the combined JWST-Planck observations even if exotic fixes are introduced to modify the standard reionization model. In this paper, we argue that this so-called ‘photon budget crisis’ is more likely due to flaws in the cosmological model itself. We aim to reanalyze the data in the context of established astrophysics with Rh = ct as the background cosmology, an approach that has already been shown to mitigate the tension created by the too-early appearance of galaxies, quasars and PAHs.
Methods. We employ the standard reionization model using the JWST-measured UV luminosity function in the early Universe and the timeline and physical conditions in both ΛCDM and Rh = ct. The former has already been fully probed and discussed elsewhere, and we here merely redo the calculation to ensure consistency with their pioneering work. We then contrast the predicted reionization histories in these two scenarios and compare them with the data.
Results. We confirm that the reionization history predicted by ΛCDM is in significant tension with the observations, and demonstrate that the latter are instead in excellent agreement with the Rh = ct timeline.
Conclusions. Together, the four anomalies uncovered by JWST, including the newly discovered reionization crisis discussed in this paper, provide strong evidence against the timeline predicted by ΛCDM and in favor of the evolutionary history in Rh = ct.
Laughter, humor, and signifying chains in replacing names with nicknames by adolescents in two Latin American cities
Authors: Bolaños Diego Fernando , Pereira Marcelo Ricardo 
Published: June 2024

AbstractWe have explored the replacement of proper names with nicknames—the renaming process—from a psychoanalytic perspective. This clinical research was conducted with adolescents in two Latin-American countries. By analyzing participants’ talk during their interactions in gathering places for artistic performance, along with individualized interviews, we approach the symbolic universe surrounding proper names and nicknames. Our work sheds light on how the meanings and signifiers of nicknames impact youth identities, expanding on the “funny” emergence of the social bond and these youngsters’ subjectivity, hereinafter referred to as “par-ceros” (pals; or literally “pair-zero”).
Planning and design for long-term neighborhood adaptability: an investigation of the formation and evolution of Kreuzviertel in Dortmund, Germany
Authors: Cozzolino Stefano 
Published: June 2024

AbstractThis article addresses the question of how to develop planning and design frameworks capable of accommodating long-term neighborhood adaptability. Despite recent studies offering normative ideas to tackle this challenge, there is a noticeable shortage of investigations examining the effective role of planning in the genesis and evolution of successful existing urban areas. In helping to bridge this research gap, the article undertakes a comprehensive study of planning and design measures which has guaranteed the formation and evolution of Kreuzviertel, in Dortmund, Germany. It analyses the neighborhood’s genesis, contemporary urban planning characteristics, factors contributing to its appeal, and the effective contributions of planning and design interventions to its success. The article reflects on this case study and more general implications on the topic.
Multi-century times-since-fire and prior fire interval determine biomass carbon stocks in obligate-seeder eucalypt woodlands
Authors: Gosper Carl R. , Yates Colin J. , Wiehl Georg , O’Donnell Alison , Prober Suzanne M. 
Published: June 2024

Background Understanding the influence of fires on terrestrial carbon stocks is important for informing global climate models and underpinning land management-based carbon markets. Aims To quantify biomass carbon in south-western Australia’s Great Western Woodlands – the world’s largest extant Mediterranean-climate woodland – with time-since-fire and prior fire interval. Methods Plot-based measurement of live and dead tree and shrub size, woody debris volume and litter mass across a ~400-year chronosequence to calculate biomass carbon. Key results Biomass carbon increased with time-since-fire, reaching >65 Mg C ha−1, although the rate of increase declined in mature woodlands. Biomass carbon decreased after fire in these obligate-seeder woodlands, while a longer prior fire interval buffered carbon fluxes through retained large standing dead trees and fallen woody debris. Conclusions The current age class distribution of the ~95,000 km2 of eucalypt woodlands in the region may support ~0.453 Pg C. Further refinement of carbon estimates explicitly considering variation in woodland type and climate, a continuous woodland age distribution and soil carbon are required to underpin a carbon methodology. Implications Biomass carbon would be maximised by reducing the extent of bushfires impacting woodlands, focussing on existing mature stands that support the greatest carbon stocks.
Complete analysis of differential cross section in 7
Li +

γ

→

→

6
Li + n at astrophysical energies
Authors: V Aswathi , Shastri Venkataramana , S P Shilpashree 
Published: June 2024

Abstract
We have carried out complete analysis of differential cross section in 7
Li + γ → 6
Li + n using model-independent theoretical formalism. A complete analysis of the reaction involves measurements of not only one state of linear polarization of the photon but also another state of linear polarization inclined to the first at 45◦ and two states of circular polarization of the photon. An analytical study of the differential cross section including all the photon polarization states is carried out at near-threshold energies of interest to Big Bang Nucleosynthesis.