bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multimodality imaging analysis of the spectrum of endomyocardial fibrosis involvement in a clinical case series
Authors: Moscoso Josh , Velarde-Acosta Kevin , Viñas Adriana , Benites-Yshpilco Lindsay , Cachicatari-Beltran Angela , Cupe-Chacalcaje Kelly , Falcón-Quispe Luis , Baltodano-Arellano Roberto 
Published: January 2025

Abstract

Background
Endomyocardial fibrosis (EMF) is a rare restrictive heart disease of the tropics. Its aetiology is cryptogenic; however, some hypotheses have been described. The clinical course is characterized by the presence of three phases (acute, subacute, and chronic). Most of the typical features of the disease are identified in the chronic phase. Multimodality imaging allows a presumptive diagnosis and cardiac magnetic resonance imaging, through its tissue characterization, allows confirmation of the diagnosis.

Case summary
We present three clinical cases of patients with EMF, at different stages of the disease, which constituted a diagnostic challenge. However, it is due to multimodality imaging that a timely and accurate diagnosis is achieved.

Discussion
Endomyocardial fibrosis is a rare heart disease with a restrictive phenotype and a poor prognosis. Endomyocardial fibrosis is characterized by apical obliteration with fibrous tissue, of one or both ventricles, and is usually associated with thrombosis, calcification, and AV valve insufficiency. Transthoracic echocardiogram is the first-line imaging modality to assess for EMF. Cardiac magnetic resonance, through late gadolinium enhancement, allows tissue characterization and identifies the ‘double V sign’, which is pathognomonic of the disease, allowing confirmation of the diagnosis. Therefore, multimodality imaging is essential for the initial and definitive diagnosis of this disease.
Comparative analysis of purine release in ostrich meat under different food heating techniques
Authors: Hou Chuanli , Xiao Lu , Sha Wanqian , Liu Huilin , Wang Yanbo , Ren Jiaoyan 
Published: January 2025

Abstract
Ostrich meat has attracted significant attention as an appealing substitute for traditional red meat, particularly due to its abundant protein content, minimal fat content, and wide array of vital nutrients. However, concerns remain regarding the purine content of ostrich meat and its implications for human health, particularly in relation to conditions such as hyperuricemia and gout. This study focused on ostrich meat, an increasingly popular emerging ‘red meat’ ingredient, and investigated the effects of three types of single physical field processing (steam, microwave, and infrared) as well as their combinations in dual and triple physical field processing on purine content in ostrich meat. The results indicated that both dual and triple physical field combinations significantly reduced purine content in ostrich meat (p &lt; 0.001). Compared with fresh ostrich meat, dual physical field processing (steam + infrared) and triple physical field processing achieved the greatest reductions in purine content, by 43.34% and 45.12%, respectively. Furthermore, the impact of processing on purine content after simulated digestion was assessed. The results revealed significant variations in purine content among different processing methods, which have implications for the nutritional quality and safety of processed ostrich meat products. Understanding these effects is crucial for optimizing processing methods and promoting the development of healthier meat products with reduced purine content.
Study on heat-induced aggregation and gelation behaviours of myofibrillar protein/casein mixtures
Authors: Ma Mengke , Ding Yuxin , Shen Zhiwen , Xu Yanshun 
Published: January 2025

Abstract
In this study, the aggregation and gelation behaviours of heat-induced fish myofibrillar protein (MP)/casein mixtures prepared with different mixing ratios (MP: casein = 1:0, 5:1, 1:1, 0:1) were investigated. The rheological results showed that casein significantly affected the rheological behaviour of MP, and the storage modulus decreased as the mixing ratio changed from 1:0 to 0:1. Results in turbidity, particle size, SEM and SDS-PAGE indicated that MP and M:C = 5:1 groups exhibited higher cross-linking aggregation especially under high-temperature heating. From 40 °C to 90 °C, the mixed systems showed higher total sulfhydryl contents and bromophenol blue binding amounts (P &lt; 0.05) compared with individual systems, suggesting that hydrophobic interaction and disulfide bonds were probably the main forces for the formation of binary MP-casein complexes. Additionally, the M:C = 5:1 group presented obvious transition of α-helix to β-sheet with the α-helix decreasing from 15.58% to 9.00% and β-sheet increasing from 48.68% to 57.62%. Overall, when the mixing ratio of MP to casein was 5:1, it is more conducive to the formation a superior gel network. The present study helps to elucidate the correlation between protein aggregation behaviours in solution and the network structure in gel, providing a theoretical basis for the textural regulation of gel food based on binary protein system.
Digital transformation and pathways for promoting global value position: an empirical study in Chinese manufacturing industries
Authors: Yongzhang Li 
Published: January 2025

Abstract
Digital transformation offers new avenues for the photovoltaic manufacturing industry and his paper, grounded in value chain theory, collaborative management theory, and value chain cost control theory, examines digital transformation through three key dimensions: process optimization, platform ecosystem development, and data-driven strategies. The results show that digital transformation has effectively streamlined R&D, procurement, production, and sales costs. Notably, the R&D expenditure as a percentage of operating income decreased from around 4.2% to 3.1%. Furthermore, after digital transformation, significant improvements were seen in supplier delivery qualification rates, market share, and customer satisfaction.
Tropical climate prediction method combining random forest and feature fusion
Authors: Liu Guotao 
Published: January 2025

Abstract
Tropical cyclones pose significant threats to coastal populations, causing destruction and loss of life. Precisely forecasting the frequency and arrival dates is still a challenge. This research presents a technique for feature extraction and integration using a random forest (RF) model with a cascaded convolutional neural network. The approach combines different meteorological maps and uses a feature fusion technique to improve prediction accuracy. The RF model is optimized by a grid search algorithm. The results show that the proposed model outperforms conventional models to achieve a mean absolute error of 0.48 and a mean relative error of 14.14%.
Experimental validation of a simplified CFD model for a PCM-water finned heat exchanger
Authors: González Gallero Francisco Javier , González Siles Gabriel , Rodríguez Maestre Ismael , Foncubierta Blázquez Juan Luis , Bottarelli Michelle 
Published: January 2025

Abstract
The most widely used numerical models in the scientific literature for simulating heat exchangers with phase change materials (PCMs) and water as the heat transfer fluid, are based on computational fluid dynamics (CFD) techniques, with the modelling of phase change being the key issue. The consideration of phase change effect, as well as the resolution of the movement of the PCM in the liquid state, make CFD models computationally very expensive. However, various published experiments indicate that during the heat discharge process, the dominant heat transfer mechanism is conduction in the solidified PCM around the finned tube. For this reason, this article presents a simplified CFD model, where convective flow of the PCM is neglected during the discharge process. The model was validated experimentally, and to achieve this validation process, an experimental prototype of a one-meter-long axially finned heat exchanger with four fins was built. Inlet and outlet water temperatures were continuously recorded, along with temperatures at various points inside the PCM, under four different water flow rates. The proposed numerical model was able to predict the outlet water temperature with an error smaller than 1°C in all cases, and to capture the observed trend in temperature inside the PCM.
Nanoscale visualization of crack tips inside molten corium–concrete interaction debris using 3D-FIB-SEM with multiphase positional misalignment correction
Authors: Miyata Hotaka , Yoshida Kenta , Konashi Kenji , Du Yufeng , Kitagaki Toru , Shobu Takahisa , Shimada Yusuke 
Published: January 2025

Abstract
Characterizing molten corium–concrete interaction (MCCI) fuel debris in Fukushima reactors is essential to develop efficient methods for its removal. To enhance the accuracy of microscopic observation and focused ion beam microsampling of MCCI fuel debris, we developed a 3D focused ion beam scanning electron microscopy technique with a multiphase positional misalignment correction method. This system automatically aligns voxel positions, corrects contrast and removes artifacts from a series of over 500 scanning electron microscopy images. The multiphase positional misalignment correction method, which focuses on time-modulated contrast, considerably reduces charge-up artifacts in glass phases, enabling 3D morphological observation and analytical transmission electron microscopy of crack tips in two types of MCCI debris at the 3D/nanoscale for the first time. In the Fe–ZrSiO4-based debris, metallic balls composed of Fe, Cr2O3 and ZrO2 with dimples on the surface of about 2–58 µm in diameter were observed at the crack tips. In the (Zr, U)SiO4-based debris, a core–shell structure composed of a (U, Zr)O2 core with a diameter of about 1–5 μm and a (Zr, U)SiO4 shell with a diameter of about 2–9 μm in complex MCCI fuel debris at the crack tips.
Neuro-reproductive toxicity and carcinogenicity of 1-bromopropane: studies for evidence-based preventive medicine
Authors: Ichihara Gaku 
Published: January 2025

Abstract
Bromopropane was introduced commercially as an alternative to ozone-depleting and global-warming solvents. The identification of 1-bromopropane neurotoxicity in animal experiments was followed by reports of human cases of 1-bromopropane toxicity. In humans, the most common clinical features of 1-bromopropane neurotoxicity are decreased sensation, weakness in extremities, and walking difficulties. Moreover, decreased cognition, abnormal findings on brain magnetic resonance imaging, urinary incontinence, and numbness in the perineal area have also been described in workers exposed to 1-bromopropane. Murine histological studies showed that exposure to 1-bromopropane reduced the density of brain noradrenergic axons. Furthermore, proteome studies demonstrated 1-bromopropane-induced changes in the expression of proteins in the hippocampus of rats, similar to the changes seen in mice exposed to acrylamide, suggesting a common mechanism of electrophile-induced neurotoxicity. In addition to its neurotoxicity, 1-bromopropane also induces male reproductive toxicity in rats, although the targeted areas in the reproductive system differ from those affected by 2-bromopropane. However, exposure to high levels of 1-bromopropane was reported to induce spermatogenic cell degeneration, similar to that caused by 2-bromopropane, suggesting common mechanism(s) underlying 1- and 2-bromopropane-induced male reproductive toxicity. Plural approaches, including human, animal, and mechanistic studies, are useful for identification of 1-bromopropane neurotoxicity. The International Agency for Research on Cancer summarized that 1-bromopropane as well as 2-bromopropane share several key characteristics of carcinogens. Plural approaches can establish evidence-based preventive medicine by modification of the conventional evidence-based medicine (EBM), which has been developed for therapeutic medicine and is represented by the EBM pyramid.
Menthol Cigarette Use in US Pregnancies: Prevalence, Racial and Ethnic Disparities, and Associated Characteristics from the 2010–2019 National Survey on Drug Use and Health (NSDUH)
Authors: Stroud Laura R , Gautam Prem , Jao Nancy C , Sharma Eva 
Published: January 2025

Abstract

Introduction
Pregnant people who smoke constitute a uniquely vulnerable population likely to be impacted by a menthol cigarette (MC) ban. However, there are no published reports of the prevalence of prenatal MC use in a nationally representative US sample including racial and ethnic disparities and associated characteristics.

Aims and Methods
Participants were 1245 US pregnant people who smoked MC or non-MC (NMC) in the past 30 days from the 2010–2019 National Survey on Drug Use and Health. Prevalence of past 30-day MC use was determined; weighted sociodemographic characteristics, tobacco use, and substance co-use were compared across MC and NMC groups and in multivariable analyses.

Results
The prevalence of MC use among pregnant people who smoked was 52.29% (95% CI: 48.17, 56.41) overall and 92.23% (95% CI: 87.74 to 96.73) among non-Hispanic Black pregnant people who smoked. A greater proportion of pregnant people who used MCs (vs NMCs) were non-Hispanic Black or Hispanic, unmarried, sexual minorities, from a large metropolitan area, smoked fewer cigarettes per day and reported later age of initiation. In multivariable analyses, only non-Hispanic Black race remained a significant predictor of MC use; non-Hispanic Black (vs non-Hispanic White) pregnant people who smoked showed 13.88 times (95% CI: 6.30 to 30.58) greater odds of MC use (p &lt; .01).

Conclusions
This is the first study to determine the prevalence and correlates of prenatal MC use in a nationally representative US sample. Given the known causal impacts of prenatal smoking on maternal and infant morbidity, results suggest that the planned menthol ban offers opportunities for improving maternal and infant health.

Implications
Using a nationally representative US sample, this study highlights that more than half of pregnant people who smoke and nearly all of Black pregnant people who smoke in the US use menthol cigarettes. Given high rates of menthol cigarette use and causal links between prenatal cigarette use and maternal and infant morbidity, the menthol cigarette ban proposed by the Food and Drug Administration (FDA) offers a potential opportunity to develop tailored education and intervention strategies to improve perinatal and infant health.
The metabolite transporters of C4 photosynthesis.
Authors: Mattinson Oliver , Kelly Steven 
Published: January 2025

Abstract
C4 photosynthesis is a highly efficient form of photosynthesis that utilises a biochemical pump to concentrate CO2 around rubisco. Although variation in the implementation of this biochemical pump exists between species, each variant of the C4 pathway is critically dependent on metabolite transport between organelles and between cells. Here we review our understanding of metabolite transport in C4 photosynthesis. We discuss how the majority of our knowledge of the metabolite transporters co-opted for use in C4 photosynthesis has been obtained from studying C3 plants, and how there is a pressing need for in planta validation of transporter function in C4 species. We further explore the diversity of transport pathways present in disparate C4 lineages and highlight the important gaps in our understanding of metabolite transport in C4 plants. Finally, through integration of functional and transcriptional data from multiple C3 and C4 plants we propose a molecular blueprint for metabolite transport for NAD-ME photosynthesis.
ELONGATED HYPOCOTYL 5 promotes root growth by maintaining redox homeostasis and repressing oxidative stress response
Authors: Zhu Xinxing , Liu Lin , Yang Liyun , Ma Fei , Yang Ting , Fu Jing , Cui Hongchang 
Published: January 2025

Abstract
Oxidative stress is a major threat to plant growth and survival. To understand how plants cope with oxidative stress, we carried out a genetic screen for Arabidopsis (Arabidopsis thaliana) mutants with altered response to hydrogen peroxide (H2O2) in root growth. Herein, we report the characterization of one of the hypersensitive mutants obtained. This mutant had slightly shorter roots in normal growth medium, and this phenotype became more pronounced in H2O2-containing medium. Through genome-wide resequencing and complementation experiments, we identified the gene with the causal mutation as ELONGATED HYPOCOTYL 5 (HY5). Histochemical staining revealed that the apical meristem of hy5 roots had an elevated level of H2O2 but a lower level of superoxide. In further experiments, we showed that genes involved in redox homeostasis and oxidative response were altered in hy5 roots and that MYB DOMAIN PROTEIN 30 (MYB30), GLUTATHIONE S-TRANSFERASE PHI 2 (GSTF2), and GLUTATHIONE S-TRANSFERASE TAU 19 (GSTU19) are directly repressed by HY5. Interestingly, overexpression of MYB30, a master regulator of the oxidative stress response, exacerbated the root growth defect in hy5, whereas knocking it down by RNAi largely rescued the mutant's hypersensitivity to H2O2 without affecting the content of reactive oxygen species (ROS). Intriguingly, knocking down GSTF2 also rescued the H2O2 hypersensitivity and ROS homeostasis defects in hy5 roots. In addition to H2O2, we showed that hy5 was also hypersensitive to high salinity, Cd, and salicylic acid. Based on these results, we conclude that HY5 plays a positive role in root growth mainly under abiotic stress by modulating both redox homeostasis and oxidative stress response.
Integrating biophysical modeling, quantum computing, and AI to discover plastic-binding peptides that combat microplastic pollution
Authors: Dhoriyani Jeet , Bergman Michael T , Hall Carol K , You Fengqi 
Published: January 2025

Abstract
Methods are needed to mitigate microplastic (MP) pollution to minimize their harm to the environment and human health. Given the ability of polypeptides to adsorb strongly to materials of micro- or nanometer size, plastic-binding peptides (PBPs) could help create bio-based tools for detecting, filtering, or degrading MNP pollution. However, the development of such tools is prevented by the lack of PBPs. In this work, we discover and evaluate PBPs for several common plastics by combining biophysical modeling, molecular dynamics (MD), quantum computing, and reinforcement learning. We frame peptide affinity for a given plastic through a Potts model that is a function of the amino acid sequence and then search for the amino acid sequences with the greatest predicted affinity using quantum annealing. We also use proximal policy optimization to find PBPs with a broader range of physicochemical properties, such as isoelectric point or solubility. Evaluation of the discovered PBPs in MD simulations demonstrates that the peptides have high affinity for two of the plastics: polyethylene and polypropylene. We conclude by describing how our computational approach could be paired with experimental approaches to create a nexus for designing and optimizing peptide-based tools that aid the detection, capture, or biodegradation of MPs. We thus hope that this study will aid in the fight against MP pollution.
Mindful self-compassion for lung cancer (MSC-LC): Incorporating perspectives of lung cancer patients, clinicians, and researchers to create an adapted intervention to reduce lung cancer stigma
Authors: Williamson Timothy J , Brymwitt Whitney M , Gilliland Jaime , Carter-Bawa Lisa , Mao Jun J , Lynch Kathleen A , Emard Nicholas , Omachi Sarah , Jacobs Rocky L , Tefera Metasebiya Y , Reese McKenzie T , Ostroff Jamie S 
Published: January 2025

Abstract

Background
Stigma is a pervasive and distressing problem experienced frequently by lung cancer patients, and there is a lack of psychosocial interventions that target the reduction of lung cancer stigma. Mindful self-compassion (MSC) is an empirically supported intervention demonstrated to increase self-compassion and reduce feelings of shame and distress in non-cancer populations. However, there are several anticipated challenges for delivering MSC to lung cancer patients, and modifications may be needed to improve acceptability, appropriateness, and feasibility.

Purpose
To gather feedback from lung cancer patients, psycho-oncology researchers, expert MSC teachers, and oncology clinicians to identify themes supporting the adaptation of MSC to reduce lung cancer stigma.

Methods
We conducted a two-phase process of stakeholder focus groups with researchers and clinicians (n=12) and semi-structured interviews with lung cancer patients (n=14) with elevated stigma. Transcripts were analyzed using thematic content analysis.

Results
Five themes were identified: (i) Patients expressed a desire for an intervention that bolstered self-compassion and addressed stigma; (ii) Intervention instructions were acceptable and understood clearly; (iii) Patients preferred intervention content to directly address lung cancer and stigma yet mentioned that doing so should be done with sensitivity; (iv) Ambivalence about delivering the intervention in person or remotely; (v) Acceptance for an intervention of 8-weeks (or longer) with 90-minute sessions and a group size of ≤ 15.

Conclusions
Findings informed the development of an adapted clinical protocol for MSC for lung cancer (MSC-LC), which can be pilot tested to determine implementation outcomes (e.g. acceptability, feasibility, efficacy).
Strigolactones regulate Bambusa multiplex sheath senescence by promoting chlorophyll degradation
Authors: Que Feng , Zhu Yaqi , Liu Qingnan , Wei Qiang 
Published: January 2025

Abstract
Culm sheaths are capable of photosynthesis and are an important class of non-leaf organs in bamboo plants. The source-sink interaction mechanism has been found to play an important role in the interaction between culm sheaths and internodes in Bambusa multiplex. Research on the regulatory mechanisms of culm sheath senescence is important for the study of internode growth, but reports in this regard are limited. In this study, a weighted gene co-expression network analysis was performed on transcriptome data of B. multiplex culm sheaths at different developmental stages and identified some gene modules significantly related to the typical senescence stages (SS3 and SS4). Among these modules, one module significantly associated with both SS3 and SS4 was identified, and its hub gene (BmCCD8) was a key gene of the strigolactones (SLs) synthesis pathway. To verify the relationship between SLs and culm sheath senescence, we performed experiments such as detection of endogenous hormone, treatment with exogenous hormones, transmission electron microscopic observation and detection of gene expression levels. A positive relationship was found between the SL content and the degree of sheath senescence. Treatment with the artificial SL analog GR24 resulted in a significant decrease in chlorophyll content in the sheath, while treatment with the SL synthesis inhibitor Tis108 led to a significant increase in chlorophyll content. A different response pattern to exogenous GR24 and Tis108 was also observed in genes related to the chlorophyll degradation pathway. Chloroplasts were also found to begin degradation one day after the end of exogenous GR24 treatment. Thus, we concluded that SLs may regulate culm sheath senescence by promoting chlorophyll degradation.