bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selection of the Anti‐Osteoporosis Active Ingredients of Fructus Psoraleae—Eucommia—Drynariae Rhizoma Based on Solid‐Phase Bio‐Cell Chromatography and HPLC–MS Analysis
Authors: Zhu Liming , Wang Yeqing , Zhu Zhongxin , Yao Xiaocong , Zhang Ruijuan , Xia Yujie , Liu Minbo 
Published: January 2025

ABSTRACTOsteoporosis (OP) is a prevalent metabolic bone disease globally. Currently, the development of Traditional Chinese Medicine (TCM) resources to unblock joints, strengthen bones, and enhance muscle function to regulate anti‐osteogenic and anabolic metabolism and thus reshape intraosseous homeostasis was an effective way to alleviate OP. The F–E–D formula, comprising Fructus Psoraleae, Eucommia, and Drynariae Rhizoma, has shown efficacy in treating OP. However, its complex natural components necessitate the screening and simplification of bioactive compounds to further elucidate their therapeutic mechanisms and enhance therapeutic efficacy. In this study, we first used drug–target binding to produce different effects, which in turn exhibited different retention characteristics on the stationary phase. Using osteoblasts and osteoclasts as stationary phases, a chromatographic system (Solid‐phase Bio‐cell Chromatography, SBC) had been constructed to mimic the drug–target interaction, and the separation, analysis, and bioactivity screening of the chemical components of F–E–D had been performed. Then, the above collected eluates were analyzed by fine metabolomics, and 95 effective metabolites were initially screened and combined with database screening to finally select betaine, L‐fucose, and itaconic acid as potentially active candidate compound monomers for the interaction with osteoblast–osteoclast in F–E–D. In terms of cell validation experiments, we found that the screened active monomers significantly inhibited the formation of osteoclasts, and the itaconic acid–treated group played a significant inhibitory effect on the expression of inflammatory factors TNF‐α and IL‐6. The above experimental data showed that the monomeric active ingredients in TCM could be effectively screened by solid‐phase bio‐chromatography and HPLC–MS, and the in vitro cellular experiments verified that the active monomers of TCM slowed down the progression of OP by inhibiting osteoclast production and alleviating the expression of inflammation.
NRF2 Antioxidant Response and Interferon‐Stimulated Genes Are Differentially Expressed in SARS‐CoV‐2‐Positive Young Subjects
Authors: Toscanelli Walter , Fracella Matteo , De Angelis Marta , Scagnolari Carolina , Sorrentino Leonardo , Piselli Elena , Marcocci Maria Elena , Midulla Fabio , Mancino Enrica , Nenna Raffaella , Petrarca Laura , Palamara Anna Teresa , Antonelli Guido , Pierangeli Alessandra , Nencioni Lucia 
Published: January 2025

ABSTRACTBackgroundSeveral respiratory viruses, including Severe Acute Respiratory Syndrome‐Coronavirus‐2 (SARS‐CoV‐2), suppress nuclear factor‐E2‐related factor‐2 (NRF2) antioxidant response, generating oxidative stress conditions to its advantage. NRF2 has also been reported to regulate the innate immune response through the inhibition of the interferon (IFN) pathway. However, its modulation in younger individuals and its correlation with the IFN response remain to be elucidated.MethodsThe NRF2 and redox‐related genes expression was examined in nasopharyngeal swabs from children attending the pediatric hospital for SARS‐CoV‐2 molecular testing. Expression levels were analyzed by stratifying the population according to the SARS‐CoV‐2 positivity, age, or the presence of symptoms. The results were correlated with Types I and III IFN genes and IFN‐stimulated genes (ISGs).ResultsWe found that NRF2 expression was markedly diminished in positive patients compared to negative. Moreover, it correlated with higher expression of IFNα2 and IFNλ3, as well as ISG15 and ISG56. Interestingly, symptomatic patients with anosmia/ageusia showed pronounced expression of apurinic/apyrimidinic endonuclease1/redox factor 1 (APE1), together with Type I IFNs, ISG56, and the inflammasome component NLRP3.ConclusionThe results indicate an interdependence between NRF2 antioxidant pathway and IFN‐mediated response during SARS‐CoV‐2 infection in young subjects.
Opportunistic salpingectomy: A Delphi study among Brazilian experts
Authors: da Silva Filho Agnaldo Lopes , Carvalho Jesus Paula , Pinhati Matheus Eduardo Soares , Gomes Mariano Tamura Vieira , Lamaita Rivia Mara , Monteiro Ilza Maria Urbano , Neves Gabriel Lage , Castro Laura Guimarães , Romualdo Guilherme Reis , Candido Eduardo Batista 
Published: January 2025

SynopsisBrazilian experts evaluated the consensus on opportunistic salpingectomy as a preventive approach against ovarian cancer, highlighting adoption potential and key implementation barriers in clinical practice.
Establishing Decisional Cutoff Values of Neurofilament Light Chains in Cerebrospinal Fluid Measured by Fully Automated Chemiluminescent Enzyme Immunoassay
Authors: Agnello Luisa , Gambino Caterina Maria , Del Ben Fabio , Ciaccio Anna Maria , Scazzone Concetta , Ciaccio Marcello 
Published: January 2025

ABSTRACTIntroductionNeurofilament light chain (NfL) is one of the most important biomarkers in the field of clinical neurochemistry. Several analytical methods have been developed in the last decade. Recently, Fujirebio introduced a ready‐to‐use assay kit for measuring NfL levels in the cerebrospinal fluid (CSF) on the fully automated LUMIPULSE G System. In this study, we established the decisional cutoffs for CSF NfL.Materials and MethodsWe performed a retrospective observational study including patients with cognitive decline. CSF NfL levels were measured by two analytical methods: the NF‐light ELISA kit (UmanDiagnostics) and the Lumipulse G1200 fully automated system (Fujirebio). We calculated the cutoffs for the Lumipulse, starting from the consolidated cutoffs of the ELISA method for each age and using the equation obtained by the regression analysis.ResultsThe study population consisted of 100 patients with cognitive decline. The median levels of CSF NfL measured by Lumipulse and ELISA were 776.5 ± 772.6 pg/mL and 473.5 ± 443.5 pg/mL, respectively, significantly different (p < 0.001). The Spearman's rank correlation coefficient was 0.962, indicating a robust positive correlation between the two measurement methods. The equation derived from the Passing–Bablok regression analysis was CSF CLEIA = −61.16 + 1.83 × CSF ELISA. Based on this equation, we defined the decisional cutoff values.ConclusionsDecisional cutoffs are fundamental tools for guiding clinicians to use biomarkers' results and interpretation appropriately. This is the first study establishing the decisional cutoff value of NfL measured by Lumipulse, a fully automated platform widely used in clinical laboratories.
Estimating SARS‐CoV‐2 Omicron XBB.1.5 Spike‐Directed Functional Antibody Levels From an Anti‐Receptor Binding Domain Wuhan‐Hu‐1‐Based Commercial Immunoassay Results
Authors: Sánchez‐Simarro Ángela , Cuevas‐Ferrando Enric , Fernández‑Soto Daniel , Grau Brayan , Albert Eliseo , Giménez Estela , Avilés‑Alía Ana Isabel , Rusu Luciana , Geller Ron , Reyburn Hugh T. , Navarro David 
Published: January 2025

ABSTRACTWe investigated whether antibody concentrations measured in plasma using the Roche Elecsys® Anti‐SARS‐CoV‐2 S assay (targeting the receptor binding domain, RBD) could estimate levels of Wuhan‐Hu‐1 and Omicron XBB.1.5 spike‐directed antibodies with neutralizing ability (NtAb) or those mediating NK‐cell activity. We analyzed 135 plasma samples from 39 vaccinated elderly nursing home residents. A strong correlation was found for NtAb against both Wuhan‐Hu‐1 (Rho = 0.73, p < 0.001) and Omicron XBB.1.5 (sub)variants (Rho = 0.73, p < 0.001). Moderate positive correlations were observed for NK‐cell activity, based on lysosome‐associated membrane protein 1 (LAMP1)‐producing NK cells stimulated with Wuhan‐Hu‐1 (Rho = 0.43, p < 0.001) and Omicron XBB.1.5 spike proteins (Rho = 0.50, p < 0.001). Similarly, interferon‐gamma (IFN‐γ)‐producing NK‐cell frequencies showed moderate correlations (Wuhan‐Hu‐1: Rho = 0.43, p < 0.001; Omicron XBB.1.5: Rho = 0.50, p < 0.001). Random Forest models accurately predicted NtAb levels against Wuhan‐Hu‐1 (R2 = 0.72), though models for Omicron XBB.1.5 were less robust. Anti‐RBD antibody concentrations of 4.73 and 5.02 log10 BAU/mL predicted high NtAb levels for Wuhan‐Hu‐1 and Omicron XBB.1.5, respectively. Antibody thresholds for predicting functional NK cell‐mediated responses were 4.73 log10 and 4.54 log10 BAU/mL for Wuhan‐Hu‐1 and Omicron XBB.1.5, respectively. For LAMP1‐producing NK cells, the thresholds were 4.94 and 4.75 log10 BAU/mL for Wuhan‐Hu‐1 and Omicron XBB.1.5, respectively. In summary, total anti‐RBD antibody levels measured by the Roche assay may allow inference of NtAb levels and, to a lesser extent, Fc‐mediated NK‐cell responses against Omicron XBB.1.5.
Localised Therapies Using 3D‐Printed Collagen‐Based Micro‐Implant for Ocular Indications
Authors: Kashkooli Hamid Heidari , Farokh Arian , Mohammadi Sajad , Marcotulli Martina , Franco Silvia , Angelini Roberta , Ruocco Giancarlo , Khalili Hanieh , Cidonio Gianluca 
Published: January 2025

AbstractCurrent limitations in treating retinal diseases like age‐related macular degeneration (AMD) and diabetic retinopathy (DR) are due to the short ocular residence time of biologics and the difficulty of precise drug delivery. In turn, frequent injections are required, hindering patient compliance, and increasing healthcare costs. This study explores the development of a collagen‐based implant using 3D bioprinting platform to address these challenges. The implant offers dual functionalities: i) sustained and localized drug delivery using in situ polymerization collagen (IPC) to act as reservoirs for prolonged release of biologics to the target tissue and ii) scaffold stability through the incorporation of methacrylated hyaluronic acid (HAMA) to enhance the mechanical properties of the IPC implant, making it suitable for 3D printing of targeted drug delivery systems. This data demonstrates that IPC‐HAMA implants exhibit slow drug release and scaffold stability for over 80 days. Additionally, 3D bioprinting enables precise targeting and volumetric control within the simulated vitreous humor, overcoming challenges associated with traditional injection methods. This innovative approach has the potential to revolutionize drug delivery and localized tissue therapy for retinal diseases.
Dynamic Covalent Sulfur‐Selenium Rich Polymers via Inverse Vulcanization for High Refractive Index, High Transmittance, and UV Shielding Materials
Authors: Jia Jinhong , Chai Yao , Xun Xingwei , Gao Yan , Qiao Tongsen , Wang Xiong , Wang Xi‐Cun , Hasell Tom , Wu Xiaofeng , Quan Zheng‐Jun 
Published: January 2025

AbstractRecent advancements in inverse vulcanization have led to the development of sulfur‐rich polymers with diverse applications. However, progress is constrained by the harsh high‐temperature reaction conditions, limited applicability, and the generation of hazardous H2S gas. This study presents an induced IV method utilizing selenium octanoic acid, yielding sulfur‐selenium rich polymers with full atom economy, even at a low‐temperatures of 100–120 °C. The resultant sulfur‐selenium rich polymers exhibit exceptional optical properties: 1) A high refractive index, reaching 1.89 when the total sulfur‐selenium content is 65%; 2) Excellent UV shielding capabilities, blocking ultraviolet rays while permitting 95.1–98.6% transmission of visible light; 3) Notable transparency, with polymer films of 0.94 mm thickness exhibiting good transparency under natural light. The materials also demonstrate environmental stability under prolonged exposure to hot or cold conditions. Additionally, the polymers display adhesive strength as evidenced by two adhered glass slides with the material lifting weights of up to 20 kg without any displacement in their glued area. These properties provide a new avenue for sulfur‐selenium rich materials to be implemented in high‐precision optical instruments with unique characteristics.
Deflection responses of damaged hybrid (carbon nanotubes – luffa) composite structure: An experimental verification
Authors: Patel B. , Guru K. , Bohidar S. K. 
Published: January 2025

AbstractThe deflection responses of intact and damaged hybrid curved shell structures are investigated numerically and experimentally under mechanical loading conditions. The damaged hybrid composite is numerically modelled in MATLAB using higher‐order mid‐plane polynomials and finite element technique. The consistent characteristics and model accuracy have been established by comparing the consequences to those accessible in the existing article. Additionally, the study examined experimentally and computationally obtained elastic properties from the DIGIMAT tool, substantially boosting the extent and reliability of the analysis. Finally, numerous examples are provided to illustrate the impact of damage, considering various parametric input constraints, on the deflection characteristics of the hybrid composite.
A Logistic Regression Model for the Prediction of Vegetation Recruitment in the Kinu River, Japan
Authors: Maeda Naoya , Miyamoto Hitoshi 
Published: January 2025

ABSTRACTVegetation overgrowth in rivers worldwide is a considerable problem because it can potentially reduce the flood‐flowing capacity and cause biodiversity loss. In this study, we developed a model to predict vegetation recruitment during the initial stages of secondary succession, which leads to vegetation overgrowth. This study chose a logistic regression model to predict vegetation recruitment because of its simplicity and lower computational load than machine learning. The model was designed for the Kinu River in Japan which is associated with extensive vegetation overgrowth. Data for the model development were obtained from unmanned aerial vehicle (UAV) aerial surveys and public databases. To ensure the model's applicability beyond the training rivers, we trained the logistic regression model across different river flows and geomorphic characteristics, including normal and flood times and gravel and sand beds. The results indicated that the logistic regression model with three explanatory variables, namely distance from the river stream, relative height, and vegetation existence history, was optimal for all rivers, with F‐measures in the range of 0.79‐0.85. In addition, using UAV imagery allows for high‐spatial resolution in predicting vegetation recruitment. The best model prediction map of vegetation recruitment demonstrated that it could accurately predict the vegetation distribution along the main river channel for gravel and sand beds. The simplicity of the present model would be advantageous when applied to other rivers with similar topographic and biological characteristics within the same river segment without hydrodynamic calculations.
Modification of Melamine and Polyurethane Sponges with Vinyl Triethoxysilane‐Graphene Nanocomposite as Superhydrophobic Absorbents for Oil‐Water Separation
Authors: Yazdi Fatemeh , Anbia Mansoor , Babamir Satehi Alborz , Sepehrian Mohammad , Moaf Armita 
Published: January 2025

AbstractOil‐water separation is essential for various industrial and environmental applications. This study explores the potential of commercially available melamine and polyurethane sponges modified with a vinyl triethoxysilane‐graphene nanocomposite as highly efficient oil‐absorbent materials. The textural properties of the modified commercial sponges were studied using various characterization techniques. After modification, the hydrophilicity of raw polyurethane and melamine foam becomes hydrophobic and superhydrophobic with contact angles of 146.93° and 153.63°, respectively. The maximum oil/organic solvent absorption capacity of modified melamine foam was 100 times more than its weight, and that of modified polyurethane foam was 95 g/g. The synthesized foams' physical stability was evaluated by subjecting it to ultrasonic waves for 5 h. They also showed good physical and chemical stability and recycling ability after 15 times, repeating the absorption–squeezing process.
Language Teachers' Developmental Trajectories as Materials Developers
Authors: Li Jiao , Gao Xuesong (Andy) 
Published: January 2025

AbstractLanguage teachers are increasingly expected to develop teaching materials in many contexts. This trend necessitates greater understanding of how language teachers develop their professional practices as materials developers. Applying an ecological perspective in combination with Wenger's theory of Communities of Practice, the present study examines the developmental trajectories of language teachers participating in a materials development community. Adopting a narrative case study approach, this study collected interview data, policy documents, meeting minutes, and personal materials that four language teachers used for developing materials. The findings show that these language teachers' developmental trajectories as materials developers were not linear and were mediated by individual beliefs and policy requirements upon entering the community; their knowledge and skills and the power relations they experienced during the materials development process; and their beliefs and power relations at the end of the project. These findings suggest that language teachers need individualized support and resources at various points throughout their participation in a materials development community to develop their professional practices throughout the process.
Zoonotic Disease: Knowledge, Attitude and Practice of Dairy Farm Owner in Wolaita Sodo District, Ethiopia
Authors: Belay Getachew Derbew , Asfaw Amare Bihon , Tadesse Hagazi Fantay , Seid Asma 
Published: January 2025

ABSTRACTBackgroundLack of knowledge regarding zoonotic transmission, prevention and control measures is a potential high risk for the occurrence of zoonotic diseases.ObjectiveThe study aimed to assess knowledge, attitude and practices of dairy farm participants concerning zoonoses.AnimalsA cross‐sectional study was conducted from March to August 2022 in and around Sodo town, using a questionnaire among dairy farm participants (n = 123). The structured questionnaire consisted of 48 items to evaluate knowledge (12), attitude (10) and practices (6) related to zoonotic disease–risks from livestock products and birth products was administered to the systematically and randomly selected respondents. Linear regression analyses were used to assess relations between the explanatory variables and the three indexes.ResultsThe overall positive response for knowledge, attitude and practice subscores were 65%, 74% and 59% respectively. 93% of participants know that disease can transmit from animal to human. Besides, eating uncooked meat (92%), drinking raw milk (85%) and collecting aborted foetuses and placenta with bare hand (80%) are known sources of infection. Participants who thought zoonotic diseases can be treated, controlled and prevented were 78%, 80% and 81%, respectively. Among participants, 74% showed positive attitude towards risk of acquiring disease through the consumption of raw meat and milk. The participants who believed that apparently healthy animals can be a source of infection were 42%. Education level was positively associated with better knowledge, attitude and practice towards zoonoses. Furthermore, farm type, size and respondent's residence were also associated with better practice of zoonotic disease prevention (p < 0.05).ConclusionDespite good knowledge, attitude and practice about zoonotic diseases' control and prevention, there are some serious knowledge and practice shortcomings. Awareness creation and training programs for the members of the dairy producers on zoonotic diseases and their transmission mechanism might help the effort in public health significance of zoonotic disease prevention.
Natural sequestration of carbon dioxide is in decline: climate change will accelerate
Authors: Curran James C. , Curran Samuel A. 
Published: January 2025

AbstractThe rate of natural sequestration of CO2 from the atmosphere by the terrestrial biosphere peaked in 2008. Atmospheric concentrations will rise more rapidly than previously, in proportion to annual CO2 emissions, as natural sequestration is now declining by 0.25% per year. The current atmospheric increment of +2.5ppm CO2 per year would have been +1.9ppm CO2, if the biosphere had maintained its 1960s growth rate. This effect will accelerate climate change and emphasises the close connection between the climate and nature emergencies. Effort is urgently required to rebuild global biodiversity and to recover its ecosystem services, including natural sequestration.
3-D Discrete Eddy and Convection for the Turing Model
Authors: Kawamoto Shunji 
Published: January 2025

Abstract
The Turing model is well known as a three-dimensional (3-D) reaction–diffusion system of chemical substances and is considered in this work from the viewpoint of discrete chaos functions. Firstly, the 3-D generalized Turing map with system parameters is presented, and the bifurcation diagrams are calculated to find discrete limit cycles. Then, 3-D stable orbit solutions with initial points of cells in the 3-D space are shown to have 2-D limit cycles with active dynamics on the x–y plane. Finally, the 3-D discrete eddies with distortion are illustrated, depending on the system parameters and initial conditions of cells. In particular, the 3-D eddies with distortion and convection correspond to the 2-D limit cycles, which are briefly discussed on absorption, embryo, cell division, transport function and on 3-D cell membrane for the Turing model in the field of biology, life science and medical science, as nonlinear dynamics of 3-D nonequilibrium open systems.
Toxicological problems of tattoo removal: characterization of femtosecond laser-induced fragments of Pigment Green 7 and Green Concentrate tattoo ink
Authors: Bauer Elvira Maria , Ricci Cosimo , Cecchetti Daniele , Ciufolini Giorgia , Cicero Daniel Oscar , Rossi Marco , Guerriero Ettore , Orlando Stefano , Carbone Marilena 
Published: January 2025

Abstract
Femtosecond lasers represent a novel tool for tattoo removal as sources that can be operated at high power, potentially leading to different removal pathways and products. Consequently, the potential toxicity of its application also needs to be evaluated. In this framework, we present a comparative study of Ti:Sapphire femtosecond laser irradiation, as a function of laser power and exposure time, on water dispersions of Pigment Green 7 (PG7) and the green tattoo ink Green Concentrate (GC), which contains PG7 as its coloring agent. The treated samples were subsequently analyzed via UV‒Vis spectroscopy, gas chromatography‒mass spectrometry (GC‒MS), SEM imaging and associated statistical analysis. We found that, on average, the discoloration efficacy of femtosecond laser treatment was comparable to that of nanosecond lasers as were the decomposition products. In fact, two primary types of fragments are produced, both of which are potentially harmful, resulting either from the decomposition of chlorinated phthalocyanine (i.e., PG7) or from the active chlorination of naphthalene impurities. However, the outcomes for the PG7 and GC treatments differed significantly from each other from several points of view. The spectral intensity patterns of GC and PG7 were distinct, depending on the treatment conditions, and showed linearity with power only in the case of GC. Additionally, the relative ratios of the fragment products differed significantly, with the production rate showing a linear dependence on power only in the case of GC and no discernible trend for PG7. Shape and size distribution of the generated particles were highly dependent on the type of sample. Femtosecond laser irradiation of GCs primarily produces nanoparticles with a homogeneous size distribution, which are typically considered nontoxic. Large aggregates also formed, exhibiting a regular shape. In contrast, PG7 yielded rods and needles with aspect ratios similar to those of toxic fibers.