bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rhythmic Bacteria as Biomarkers for Circadian-Related Diseases
Authors: Ubilla Pamela Karina , Ferrada Evandro , Marquet Pablo A. 
Published: January 2025

Abstract

Recent studies suggest that the human circadian clock influences periodic changes in the composition of the gut microbiota, which is essential for maintaining host health. This connection has led researchers to hypothesize that the disruption of the circadian clock may impact human health via the gut microbiota. Here, we hypothesize that rhythmic bacteria—those whose abundance fluctuates in a circadian pattern—are key drivers of the differences in gut microbiota composition between healthy individuals and those with circadian-related diseases. Even in the absence of a causal relation, identifying rhythmic bacteria associated with circadian-related diseases can reveal disease biomarkers as well as intervention strategies. To test this, we first conducted a systematic review to identify rhythmic bacteria reported in the literature. Then, we mapped these bacteria onto a reference gut microbiota dataset of nearly 4,800 healthy individuals from a previously curated metagenomic database. We use this data to assess the prevalence and abundance of bacteria. To examine significant bacteria in samples from individuals with circadian-related diseases, including type 2 diabetes, hypertension, atherosclerotic cardiovascular disease, colorectal cancer, metabolic syndrome, and inflammatory bowel disease, we compared disease datasets from several previous studies with their respective healthy controls. Of the eight rhythmic bacteria identified in previous studies, seven were among the top 100 most prevalent and abundant species in the gut. We found the rhythmic bacterium Roseburia faecis to be strongly and exclusively associated with circadian-related diseases, suggesting its use as a biomarker and possibly coadjuvant in the treatment of these diseases. Clinical trial number: not applicable.
Global research trends and priorities in the link between Toll-like receptors and rheumatoid arthritis: a bibliometric analysis from 2003 to 2023
Authors: Zong Yanping , Li Hui , Chang Yonglong , Zhang Xiaojun , Guo Jinchen 
Published: January 2025

Abstract

Background: Rheumatoid arthritis (RA) is a widespread chronic autoimmune disease, distinguished by inflammation in the synovial membrane. Research indicates that Toll-like receptors (TLRs), which engage with internal ligands generated by the body, serve a crucial function in triggering immune reactions. These receptors are also implicated in the onset of inflammatory conditions, injuries, tumors, and are pivotal to the development of RA. This research seeks to comprehensively examine the present status and evolving trends in the study of the relationship between rheumatoid arthritis and Toll-like receptors using bibliometric methods.
Methods: Research on rheumatoid arthritis and Toll-like receptors was conducted using the Web of Science Core Collection (WoSCC) database, covering the period from 2003 to 2023. Eligible articles were screened according to predefined criteria and analyzed bibliometrically using VOSviewer, CiteSpace and the R package “bibliometrix”.
Results: 440 papers from 56 countries or regions, 670 institutions, and 2264 authors in the disciplines of biochemistry and molecular biology, chemistry, engineering, immunology, and materials science were included. The United States, China and the Netherlands were the primary contributors. The institution that published the most papers in the field was Radboud Univ Nijmegen from the Netherlands. Prof. Van Den Berg Wim B from Radboud University Nijmegen Medical Center was the most prolific scholar. Research on TLRs and the immune-inflammatory response, interaction of TLRs with immune cells, regulation of TLRs signaling pathways, and TLRs and RA therapy in RA are hot topics in this field. The development trend is shifting from pathogenesis to targeted therapy.
Conclusion: The involvement of Toll-like receptor-mediated immune inflammation in the development of rheumatoid arthritis has become a research focus of multidisciplinary interest. This article summarizes the research institutions, authors, journals, hotspots and application trends of Toll-like receptors in rheumatoid arthritis, which will help researchers to conduct further studies.
Insights into hydrogen sulfide defense against black rot of cabbage at morphological, cellular and transcriptional metabolic levels
Authors: Yue Zhibin , Wang Jie , Wang Jue , Chen Tongyan , Li Jinbao , Dai Haojie , Yu Jihua , Liu Zeci 
Published: January 2025

Abstract

Black rot caused by Xanthomonas campestris pv. campestris (Xcc) has resulted in severe damage to cabbage yields worldwide. Hydrogen sulfide (H2S), an important gaseous signaling molecule, is involved in mediating plant defense responses to various adversity stresses. However, few studies have investigated how H2S enhances resistance mechanisms in plants under biotic stress. Therefore, in this experiment, we investigated the effects of exogenous H2S on the extent of plant-pathogen interactions, antioxidant mechanisms, plant pathogenesis, cellular integrity and accumulation of secondary metabolite under Xcc infested cabbage. Our study showed that Xcc inhibited the antioxidant properties and secondary metabolites synthesis of cabbage, led to significant disruption of cell wall and cell membrane integrity, which triggered severe plant diseases. The use of H2S effectively mitigated this inhibitory effect and the extent of damage, up-regulated the expression levels of genes involved in plant-pathogen interactions, stabilized the osmoregulatory system, improved the antioxidant capacity, promoted the GSH-ASA cycle, protected cellular integrity, mitigated the extent of morbidity and enhanced the rate of substance synthesis. Thus, H2S could improve the disease resistance of cabbage seedlings and relieved the negative effects of Xcc.
Gradient-Weighted Class Activation Mapping Based Deep Transfer Learning For Glaucoma Disease Prediction
Authors: Basith Z. Abdul , Ibrahim M. Sulthan 
Published: January 2025

Abstract

Glaucoma is a progressive eye disease characterized by damage to optic nerve. Early detection and management are crucial to preserving vision, making prediction of glaucoma risk. To improve accurate prediction, Gradient-weighted Class Activation Mapped Deep Transfer Learning (GWCAMDTL) model is developed. The main aim of the model is to enhance the accuracy of glaucoma prediction while minimizing time consumption. Retinal fundus images are collected from the dataset for accurate prediction in image acquisition phase. Deep transfer learning involves adapting a pre-trained deep learning model for performing glaucoma prediction. In proposed Deep transfer learning model, the Multilayer Perceptron classifier is used as pre-trained model for analyzing the given large number of training images. Then, new model is constructed along with its pre-trained model for disease prediction. Initially, layers in pre-trained model are usually frozen to preserve the learned features from the infected regions. Transferring information from previously learned results by the pre-trained mode to new tasks has the potential to significantly improve feature learning efficiency by applying the congruence correlation coefficient. Gradient-weighted Class Activation Mapping generates visual explanations for the predictions made by model. Fine-tuning layers is crucial part of transfer learning. During fine-tuning for glaucoma prediction, the model weights of certain layers are updated to better fit the specific characteristics of the new glaucoma dataset, leading to a reduction in both training and validation error. This approach improves the accuracy of glaucoma prediction by applying the strengths of the pre-trained model and adapting it to the clinical features of retinal fundus images. This process helps to make accurate predictions and extensively improves the F1-score. Experimental are conducted using various evaluation metrics. Results of GWCAMDTL achieve higher accuracy with reduced time as well as error compared to existing methods.
Comparison of the effect of acupoint injection and tramadol for the treatment of catheter-related bladder discomfort: a randomized controlled trial
Authors: Guo Li , Li Ping , Li Shuying , Song Jianying , Wang Qiaoli , Tian Wanli 
Published: January 2025

Abstract

Background
Postoperative catheter-related bladder discomfort (CRBD) is a common complication of intraoperative urinary catheterization. We conducted this study to compare the effects of acupoint injection and tramadol for the treatment of postoperative CRBD.
Methods
Ninety patients who underwent elective gynecological surgery with intraoperative urinary catheterization and spontaneously complained of CRBD during recovery in the post-anaesthesia care unit (PACU) were randomized into three groups of 30 each. Group A received acupoint injections (Zusanli (ST 36), Sanyinjiao (SP 6), Zhongji (CV 3), and Guanyuan (CV 4)), Group B received 1.5 mg/kg tramadol, while Group C received normal saline. The severity of CRBD was measured as none, mild, moderate, or severe; or recorded using visual analog scale (VAS) score ranging from 0 (no discomfort) to 10 (most severe discomfort). These measurements were reported at 0 (immediate treatment time), 0.5, 1, 2 and 6 h after treatment.
Results
The severity of CRBD was reduced in groups A and B compared to that in group C at 0.5, 1 and 2 h after treatment. The VAS score for CRBD was also lower in groups A and B compared to that in group C after treatment. Additionally, Groups A and B had a higher rate of effective therapy than group C at 0.5, 1 and 2 h after treatment. Group A had a higher rate of effective therapy than groups B and C at immediate treatment time. Group B had a higher incidence of nausea compared to Groups A and C; however, there were no differences observed regarding vomiting, dizziness, drowsiness, or headache.
Conclusions
Acupoint injection was found to be equally effective as tramadol for treating postoperative CRBD following gynecological surgery. Acupoint injection could even take effect at immediate treatment time. Moreover, tramadol increased the incidence of nausea compared with acupoint injection.
Trial registration:
ChiCTR2400090605. Registered on 9 October 2024.
Nanoscale characterization of chrysocolla, black chrysocolla and pseudomalachite from supergene copper deposits of Atacama Desert of northern Chile
Authors: Kahou Zia Steven , Seydoux-Guillaume Anne-Magali , Zanetta Pierre-Marie , Duchêne Stéphanie , Brichau Stéphanie , Campos Eduardo 
Published: January 2025

Abstract
We present the first textural and chemical characterization at nanometer scale of chrysocolla [(Cu2-xAlx)H2-xSi2O5(OH)4.nH2O], black chrysocolla (a Mn-rich variety of chrysocolla) and pseudomalachite [Cu5(PO4)2(OH)4] from two distinct supergene copper deposits from Atacama Desert of northern Chile. These minerals are the most common copper minerals found in the supergene deposits associated with copper porphyries from Atacama Desert. However, the lack of nanoscale morphological information prevents a deeper understanding of their formation process. Nanoscale characterization using Transmission Electron Microscope (TEM) imaging allows to address new founding on the structural states of chrysocolla, black chrysocolla and pseudomalachite offering valuable insights into their genesis. Chrysocolla and black chrysocolla are not single crystals but assemblages of Cu nanoparticles embedded in an Si-rich amorphous matrix. Scanning TEM (STEM) images reveal that chrysocolla consists of rounded Cu-rich nanoparticles embedded in an amorphous matrix while black chrysocolla consists of rounded Cu-rich nanoparticles with few needle-shaped Mn-rich particles, all embedded in an amorphous matrix. The richness in nanoparticles defines a layering that mimics the colloform texture observed in optical microscopy. In contrast, pseudomalachite is a massive polycrystalline mineral consisting of juxtaposition of large nanocrystal grains of ∼500 nm. The STEM-EELS (Electron Energy Loss Spectrometry) spectra show that copper in chrysocolla and black chrysocolla is in a reduced state. This suggest that chrysocolla and black chrysocolla forms under reducing conditions, probably just below the water table or, an alternative hypothesis, that water table oscillation allows cyclical precipitation of Cu0-rich nanoparticles and oxidized copper-rich silicate. Conversely, pseudomalachite crystallization requires oxidative conditions. The oxidation state variations from chrysocolla (Cu0) to pseudomalachite (Cu2+ 40 ), certainly happens during episodic switch of the water table linked to tectonic event or climatic changes. The findings have also implications for the U-Pb dating of supergene copper deposits since black chrysocolla and pseudomalachite can incorporate important U-content. The different structural states of the three minerals may explain their different behavior regarding U and Pb mobility and therefore the preservation of the U-Pb chronometric signal.
Discriminating ionic mobility between diffusivity and electrical conductivity experiments on Earth’s silicate materials
Authors: Yang Xiaozhi 
Published: January 2025

Abstract
Ionic diffusivity and electrical conductivity are two important transport properties of Earth’s silicate materials (melts and minerals), and are widely used to constrain many chemical and physical aspects of Earth’s interior. The two transport properties are both related to the mobility of ionic species, and a genetic link between them has long been assumed that implies similarity or comparability between their relevant transport nature and parameters. We examine the activation energy, anisotropy behaviors and diffusivity and conductivity values of three well-documented ionic species (Na, F and H) in a series of Earth’s typical silicate materials, and demonstrate that there are profound differences between the two transport properties. We evaluate the theory that is commonly used to link the two transport properties of relatively simple and ideal materials in physics and material sciences. It turns out that the theoretical model may not always be applicable to silicate materials in the Earth’s interior, because their compositions and the bonding and interactions between their constitutive species are both much more complicated. A further assessment of the experimental studies on the diffusivity and conductivity of silicate materials reveals critical differences in the samples and analytical methods. In diffusion experiments, the sample is heterogeneous in composition (for producing the measurable diffusion profile): chemical or isotopic potential gradients are exclusively present, and during the runs, there is net transfer of the charged species. In conduction experiments, the sample is usually homogeneous in composition: no potential gradients are involved, and there is no net transfer of the charged species (e.g., for analyses using impedance spectroscopy that is necessary to Earth’s silicate materials). The contrasting patterns of the transport behaviors and parameters between the diffusivity and electrical conductivity of Earth’s silicate materials, as experimentally observed, are caused more likely by the discrepancies involved with the theoretical basis and laboratory work. The ionic mobility of a charged species between diffusion and conduction experiments on a silicate sample is in fact strikingly different. We suggest that the experimentally yielded diffusivity and conductivity of Earth’s silicate materials cannot be simply compared or correlated with each other. The possible circumstances where a link between the two transport properties might be established are also briefly discussed.
Formation of nano-CdS solid solution: A mechanism for Cd enrichment in sphalerite
Authors: Yan Lei , Fan Yu , Huang Jun , Zuo Tong , Wang Fangyue , Zhou Taofa 
Published: January 2025

Abstract
The occurrence state and supernormal enrichment mechanism of dispersed elements in sphalerite are still controversial topics. Here, we combined laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) and scanning transmission electron microscopy (STEM) to investigate the occurrence state and enrichment mechanism of cadmium (Cd) in Cd-rich sphalerite in the Jinding deposit. In the relatively Cd-poor areas (Cd content approximately 4000 ppm to 10,000 ppm), Cd was found to occur in the form of lattice substitution for Zn. In the Cd-rich areas (Cd content greater than 30,000 ppm), a new nano-scale occurrence state of Cd, nano-CdS solid solution, was discovered. This provides new nanoscale mineralogical evidences to refine the supernormal enrichment process of Cd in sphalerite. Reactivation and dynamic recrystallization induced by plastic deformation of sphalerite, and solid solution precipitation caused by cooling are important mechanisms for Cd enrichment. The coherent interface relationship between CdS and ZnS is crucial for the formation and stable existence of nano-CdS solid solution. The formation process of nano solid solution may be a potential mechanism for the supernormal enrichment of dispersed elements, which may provide new insights for explaining the complex distribution characteristics of dispersed elements at the micrometer scale.
Time Below Range and Its Influence on Hypoglycemia Awareness and Severe Hypoglycemia: Insights From the Association of British Clinical Diabetologists Study
Authors: Deshmukh Harshal , Wilmot Emma G. , Choudhary Pratik , Ssemmondo Emmanuel , Barnes Dennis , Walker Neil , Walton Chris , Ryder Robert E.J. , Sathyapalan Thozhukat 
Published: January 2025

OBJECTIVE
This study aimed to explore the relationship between time below range (TBR), impaired awareness of hypoglycemia (IAH), and severe hypoglycemia (SH).

RESEARCH DESIGN AND METHODS
This cross-sectional study analyzed data from individuals with diabetes using continuous glucose monitors (CGMs) in the Association of British Clinical Diabetologists audit. Hypoglycemia awareness was assessed via the Gold score (≥4 denoting IAH), and SH was defined as hypoglycemia requiring third-party assistance. Logistic regression was used to determine the association between TBR percentage (&lt;70 mg/dL; 3.9 mmol/L) at first follow-up and follow-up Gold score and SH incidence. The Youden J index identified optimal TBR percentage cutoffs for detecting IAH and SH.

RESULTS
The study included 15,777 participants, with follow-up TBR and SH data available for 5,029. The median TBR percentage was 4% (interquartile range 2–6.6%), with 42% meeting the recommended TBR of ≤4%. Adjusted for age, sex, and BMI, TBR was significantly associated with SH (P &lt; 0.001) and IAH (P = 0.005). Optimal TBR cutoffs for identifying IAH and SH were 3.35% and 3.95%, yielding negative predictive value (NPV) values of 85% and 97%, respectively.

CONCLUSIONS
Our findings support the international consensus recommending a TBR of &lt;4% in type 1 diabetes, with high NPV values suggesting the utility of TBR in screening for SH.
Multi-Regional Input-Output Analysis (MRIO): Exploring Trends and Gaining Key Insights Through Bibliometric Analysis
Authors: Tennakoon Subhasinghe Manchanayake Appuhamilage Vishwanath Sandeepa 
Published: January 2025

Abstract
Understanding the interaction of economies with the environment is very important in today’s globalized world. Traditional economic models, which focus on single regions, are often inadequate for capturing the complexity of these global interactions. To overcome this, Multi-Regional Input-Output (MRIO) matrices expand conventional Input Output (IO) models by incorporating multiple regions, providing a comprehensive view of economic relationships within the global economy. The purpose of this study is to present a comprehensive bibliometric review of scientific articles published on the topic of “Multi-Regional Input-Output” analysis in an attempt to understand the research trends, key themes, and future research directions in this field. The methodology undertaken in this paper is a bibliometric analysis of 1,247 research publications from 2003 to 2024. This has been performed by extracting bibliometric data with the Biblioshiny function of the Bibliometrix package in R-studio and mapping it to identify crucial trends and contributors to MRIO research. The findings of these analyses can be summarised into five key points. First, research in the MRIO field is significantly increasing, especially since 2014 and peaking in 2022. Second, the Journal of Cleaner Production is by far the most prolific source for MRIO research. The thematic analysis finds that “carbon pricing,” “environmental policy,” and “embodied energy” are among the dominant and popular themes within MRIO research. The study highlights the importance of collaboration networks and key contributors within the field, identifying influential authors, sources, and trending keywords. Furthermore, the study underlines that important authors, sources and trending keywords in MRIO research agree with the pattern of collaboration extrapolated considering works cited. Finally, great value is put into future research to investigate new themes and work further on integrating and consolidating them into a wider MRIO framework. This is one of the first attempts at a bibliometric analysis of MRIO research. Hence, this bibliometric review provides valuable insights for future research by pinpointing areas for further investigation, such as integrating MRIO methodologies into broader sustainability assessment frameworks and improving their applicability for policy decision-making.
Slovenian Journal of Public Health: The Journey so Far and the Road Ahead
Authors: FARKAŠ LAINŠČAK Jerneja , ŠVAB Igor 
Published: January 2025

ABSTRACT
The Slovenian Journal of Public Health, established 63 years ago as the official publication of the National Institute of Public Health in Slovenia, was initially aimed at tracking the development of public health in Slovenia and disseminating scientific advancements to professionals in the field. In 2000, a new editorial board took over and shifted the journal’s focus towards enhancing scientific rigour and achieving international recognition. This strategic transformation led to the journal being indexed in the Social Sciences Citation Index (SSCI) in 2009, specifically within the category of Public, Environmental & Occupational Health. The indexing enabled the journal to acquire its first impact factor in 2011, which has demonstrated a consistent upward trajectory, currently standing at 1.6 (IF2023). The journal has recently ascended to the third quartile of its field and is now recognised as the second highest-ranked medical journal in Slovenia. Following over two decades of successful leadership, the journal is poised to enter a new phase under an incoming editor-in-chief. It is imperative for the journal to sustain its contributions to public health by promoting high-quality scientific publications and facilitating critical discourse among researchers.