bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Quality Evaluation of Tibetan Dracocephali tangutici Herba Based on DNA Barcode and HPLC Fingerprinting
Authors: Zhuoma Dawa , Tingyin Duan , Jun Lan , Pei Qun , Duoji Cidan , Feng Du , Fang Deng , Yan Zhou 
Published: January 2025

ABSTRACTObjectivesThe quality of 30 batches of the Tibetan Dracocephali tangutici Herba was evaluated using HPLC fingerprinting and DNA sequences.MethodsBotanical identification of 30 batches of D. tangutici herba was conducted using the DNA barcoding approach, specifically analyzing the ITS and rbcL sequences. HPLC fingerprints of Tibetan Dracocephali tangutici Herba were established. The quality of 30 batches of D. tangutici herba was comprehensively evaluated using principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS‐DA), and entropy weighting method (EWM) combined with grey relation analysis (GRA).ResultsThe botanical provenance of all 30 batches of herbs was proven to be Dracocephali tangutici Maxim. using DNA barcoding techniques, namely, ITS sequence and rbcL sequence testing. A total of 17 common peaks were chosen from the HPLC fingerprinting analysis. Among these, three peaks were recognized by comparing them with three reference standards: chlorogenic acid, cryptochlorogenic acid, and salvianolic acid B. The similarity scores of the 30 batches of D. tangutici herba varied between 0.846 and 0.991. The 30 batches of samples were categorized into two groups using PCA. The findings from OPLS‐DA indicated that chlorogenic acid and four flavonoids could be the crucial components for evaluating the quality of D. tangutici herba. Additionally, the combined evaluation results of EWM and GRA suggested that the quality of the 30 batches of samples varied significantly.ConclusionThe results of this study can provide a reference basis for the development of quality standards for D. tangutici herba in Tibet.
Exploring the Moderating Roles of Family‐Work Conflict in the Relationship Between Work‐Family Conflict and Teacher Well‐Being
Authors: Uslukaya Alper , Demirtaş Zülfü , Alanoglu Muslim , Zincirli Muhammed 
Published: January 2025

ABSTRACTTeachers well‐being has a significant influence on their quality of life, as well as on students' emotions, behaviors, and cognitions. Although there is evidence of a negative relationship between teachers' experience of work‐family conflict (WFC) and family‐work conflict (FWC) with their well‐being, we have no information on how the interaction of these two experiences relates to teacher well‐being. Therefore, this study aims to examine the relationships between the interaction of WFC and FWC and teacher burnout and job engagement. The participants included 529 teachers from the Elazığ provincial center in Türkiye. According to the results of the structural equation modeling using Bayesian estimation, the positive relationship between WFC and burnout, as well as the negative relationship with work engagement, is stronger under high FWC conditions but significantly weakens under low FWC conditions. Therefore, we conclude that WFC and FWC interact to affect teacher well‐being more negatively. The current study concludes with several theoretical and practical implications.
Basic Composition and Synthesis Process and Representative Molecule of the Branched Polyethyleneimines With Low Molecular Weight
Authors: Li Pandeng , Lu Gen , Liu Tingting , Shu Tong , Yu Tianyi , Fu Chunhua , Yu Longjiang 
Published: January 2025

ABSTRACTBranched polyethyleneimines (B‐PEIs) have been widely used in industries and researches, such as the papermaking, water treatment, and enzyme immobilization. However, they exhibit a complex composition, leading to ambiguity in understanding the B‐PEIs' synthetic process and relevant influencing factors. Additionally, no representative molecule of B‐PEIs has been identified, leading to subjective selections when studying structure–performance relationships. This study focused on three commercially low‐molecular‐weight B‐PEIs: 300, 600, and 1800. It identified that they primarily consisted of C, H, and N elements in the form of methylene and primary, secondary, and tertiary amine groups. The ratios of amine groups were also revealed, offering guidance for application. Moreover, the types of polymerization degrees and their proportions were determined, with the free ends identified as primary amino groups. Based on these, this study proposed synthetic processes and potential influencing factors. This provided valuable insights into the synthesis of B‐PEIs with varying compositions and properties. Furthermore, the stability of over 527 potential molecular structures was calculated. By weighing above features, the representative model molecules used to analyze B‐PEIs' structure–performance relationships was identified. These results had significant implications for the synthesis, application, and functional analysis of B‐PEIs.
Perfluoropolyether Segmented Polybutadiene Urethanes With Improved Dispersion of Silica Particles: A Surrogate Methodology for Additive Manufacturing of Composite Binders
Authors: Shin Tyler M. , Weeks Nathan J. , Budy Stephen M. , Iacono Scott T. 
Published: January 2025

ABSTRACTFluorinated hydroxy‐terminated polybutadiene (F‐HTPB) urethane binders were prepared by the incorporation of a perfluoropolyether (PFPE) diol (Fluorolink E10H (FL)) as a terpolymer system. Rheology measurements at 25°C showed a steady decrease in viscosity with increased cure rates at the gelation time with increasing molar loadings of FL. The optimized F‐HTPB urethane binder was then formulated with fluorinated silica particles (F‐SP) that were successfully modified with a monolayer of perfluoropolyether bound carboxylic acids using Krytox 157 FSH. Loadings up to 20 wt% F‐SPs were prepared with no phase separation demonstrating the interfacial compatibility of the fluorine‐rich PFPE domains of the binder and the silica particle surface while lowering the viscosity at full cure. These rheology measurements suggest the fluorinated binder composite formulations would advance their application as practical drop‐in feed stocks for reactive in situ additive manufacturing techniques at room temperature. This work also includes comprehensive analysis of the particles and composite formulations to include infrared spectroscopy, surface wettability measurements, calorimetry, and thermal gravimetric decomposition analysis.
Chemical Insights Into Nitrogen Oxidation Via Surface Dielectric Barrier Discharge Plasma Driven By Different Power Supplies
Authors: Li Tianyu , Gao Yuting , Fan Jieping , Wang Xiangyu , Feng Yue , Qu Zhongping , Gan Dingwei , Sun Jing , Liu Dingxin , Tu Xin , Zhou Renwu 
Published: January 2025

ABSTRACTDischarge modes of surface dielectric barrier discharge are influenced by various factors, with its underlying mechanisms still unclear. This study explores the effects of power input and N2/O2 ratios on NOx yield and selectivity using Fourier Transform Infrared Spectroscopy and analyzes the spatiotemporal evolution of discharges under alternating current (AC) and pulsed power sources. Results show that NO2 selectivity is higher under pulsed power compared to AC, with a peak of 56.2% at 30% N2 content. Increased power enhances NO2 selectivity to 49.6% in the pulsed‐driven system, while no significant change is observed with AC. The lower rotational temperature in pulsed power systems facilitates the O generation for further NO oxidation. These findings may provide new chemical insights into plasma‐enabled nitrogen oxidation.
Clinical Sensitivity and Specificity of the PROSTest in an American Cohort
Authors: Rahbar Kambiz , Kidd Mark , Prasad Vikas , David Rosin R. , Drozdov Ignat , Halim Abdel 
Published: January 2025

ABSTRACTIntroductionProstate cancer (PCa) is the most commonly diagnosed cancer in men in the United States, following skin cancer, with an incidence rate of 112.7 per 100,000 men per year. The need for a reliable, non‐invasive diagnostic tool for early PCa detection (screening, biochemical residual disease) remains unmet due to the limitations of PSA testing, which often leads to overdiagnosis and overtreatment. The PROSTest is a novel, blood‐based qPCR assay that assesses gene expression to diagnose PCa and predict patient outcomes to different treatments. This study aimed to validate the sensitivity and specificity of the PROSTest in a diverse cohort of US‐based PCa patients compared to healthy controls.Materials and MethodsThis prospective study included 143 PCa patients and 92 healthy controls. Blood samples were collected, and the PROSTest was conducted following RNA isolation and cDNA production, using a predefined 27‐gene algorithm to provide a binary output. The assay's sensitivity and specificity were evaluated using receiver operating characteristic (ROC) analysis, with a 50% score cut‐off distinguishing PCa from non‐PCa patients. Analytical reproducibility was assessed with intra‐ and inter‐assay comparisons of Ct values and PROSTest scores.ResultsThe PROSTest demonstrated a sensitivity of 94% (95% CI 89–98%) and a specificity of 88% (95% CI 80–94%) in distinguishing PCa patients from controls, with an area under the ROC curve (AUROC) of 0.97. The false positive rate among controls was 12%. Intra‐ and inter‐assay reproducibility was confirmed with no significant differences in Ct values or PROSTest scores between operators or assays. PROSTest scores were significantly higher in PCa patients compared to controls and in those undergoing treatment versus untreated patients.ConclusionThis validation study confirms the high sensitivity and specificity of the PROSTest in detecting PCa in a diverse USA cohort. The assay's robustness and reproducibility support its potential as a reliable diagnostic tool for PCa detection and monitoring. Further studies are warranted to evaluate its utility across broader populations and treatment settings.
Vera: A stochastic, polydisperse scheme for diagnosing fog and visibility
Authors: Claxton Bernard 
Published: January 2025

AbstractVera is a diagnostic visibility parametrisation designed to produce probabilistic output from an operational forecast model to provide guidance as to the likelihood of fog formation. The scheme is an extension of an existing visibility diagnostic, utilising very similar physics to hydrate a dry aerosol population. The three major improvements implemented by Vera are the expansion from monodisperse aerosol to polydisperse aerosol, the use of stochastic, synthethic noise to estimate the uncertainty in the computed visibility, and upgrading from geometric to Mie scattering to diagnose the aerosol scattering coefficient. Vera has been implemented in the Met Office's Unified Model.
Statistical Inference for Generalized Half‐Normal Model Under Step‐Stress Accelerated Life Test in the Presence of Hybrid Censoring
Authors: Yadav Priya , Kumar Devendra , Singh Sukhdev 
Published: January 2025

ABSTRACTIn this paper, we consider the problem of estimating the unknown parameters of a generalized half‐normal (GHN) distribution when lifetime data are observed from accelerated life test (ALT) experiments in the presence of hybrid censoring. To relate the lifetime of products under different stress levels, we make use of a cumulative exposure model (CEM), and obtain maximum likelihood estimates using a numerical approach and stochastic expectation–maximization (SEM) algorithm. We further obtain the expected Fisher information matrix, and use it to compute associated confidence interval estimates for the unknown parameters of the distribution. The expected Fisher information matrix is also used to select the optimal time to conduct an experiment based on three considered optimality criteria. Next, we consider independent and conditional gamma priors and obtain the associated posterior distributions for the unknown parameters. We then make use of samples generated from the posterior distributions using importance sampling and the MH algorithm to compute the Bayesian estimates under the squared error loss function. Furthermore, the highest associated posterior density interval estimates are also computed. Finally, we conduct a simulation study to evaluate the efficiency of the suggested approaches in various situations and analyze a real data set for illustration purposes.
Effective and Robust Generation of Deterministic Magnon Schrödinger Cat States in the Hybrid System
Authors: Wang Yu , Xia Yan , Kang Yi‐Hao 
Published: January 2025

AbstractA scheme is proposed for effective and robust generation of magnon Schrödinger cat states in the hybrid optomagnonical system. The Schrödinger cat states can be generated from the vacuum states and the physical model is easy to be implemented. It is worth noting that the effective normalized coupling strength of the optomagnonical system is able to reach strong coupling regime, which leads to a fast evolution process. Thus, the high fidelity and fast preparation of Schrödinger cat states can be achieved. Besides, the numerical simulations show that the scheme is robust against the decay caused by environment and the additive white Gaussian noise (AWGN). It is the hope that the scheme may open a new path to the fast generation of Schrödinger cat states in the hybrid system.
Immune cell alterations in a pristane‐induced lupus model in C57BL/6J mice
Authors: Zhou Yali , Yang Binbin , Long Haojun , Zhu Qinghuan , Wu Yongzhuo , Liu Yingying , Yuan Limei , Cao Wenting , Huang Xinwei , Deng Danqi 
Published: January 2025

AbstractBackgroundSystemic lupus erythematosus (SLE) is an autoimmune disease characterized by immune‐mediated inflammation affecting multiple organs and systems. The aim of this study was to establish and validate a pristane‐induced SLE model in C57BL/6J mice and analyze immune cell alterations.MethodsSix‐week‐old female C57BL/6J mice were randomly assigned to two groups (n = 6 per group). The pristane group received a single 0.5 mL intraperitoneal injection of pristane, whereas the control group received a single intraperitoneal injection of 0.5 mL saline. Urine samples were collected before injection and at 2, 4, and 6 months after injection to monitor urinary protein levels. Six months postinjection, the mice were euthanized, and serum, kidney, and spleen tissues were collected. Serum antinuclear antibody (ANA), double‐stranded DNA(dsDNA), and inflammatory cytokine levels (interleukin [IL]‐1β, IL‐6, tumor necrosis factor‐α) were quantified by enzyme‐linked immunosorbent assay. Histological alterations in kidney tissues were assessed using hematoxylin and eosin, periodic acid‐Schiff, Masson, and silver staining, in addition to direct immunofluorescence for immunoglobulin G and complement component 3. Flow cytometry was used to assess immune cell alterations in the spleen.ResultsFollowing the intraperitoneal injection of pristane, the mice exhibited a gradual increase in spleen size, body weight, and urinary protein levels. Serum levels of ANA, dsDNA, and inflammatory cytokines were elevated to varying degrees (p < 0.05). Histological analysis of the kidney sections revealed characteristic nephritic alterations, including glomerular swelling and lymphocyte infiltration. In the spleen, T cell numbers decreased, whereas the proportion of myeloid cells significantly increased, particularly monocytes, neutrophils, and macrophages (p < 0.05).ConclusionPristane successfully induced a SLE model in C57BL/6J mice, characterized by nephritic injury and significant alterations in immune cell populations.
Emerging Business Model Archetypes in the Circular Economy: A Systematic Literature Review
Authors: Woldeyes Tirufat Dejene , Muffatto Moreno , Ferrati Francesco 
Published: January 2025

ABSTRACTIn the circular economy, companies design their business models to align with circular principles and explore pathways for sustainable value creation. However, research on the circular economy business model (CEBM) is in its infancy, and existing business models remain incomplete and lack comprehensiveness, failing to encompass all emerging business models, and lack explicit criteria and scientific procedures. Additionally, terminological inconsistencies persist, leading to ambiguity in defining circular strategies and their interconnections. In response to this challenge, our study conducted a rigorous review of 106 scholarly articles on circular business models. Our primary objective was to enhance the understanding of CEBMs with an in‐depth review of these models from literature and employ an integrated framework to craft our unique categorization of CEBMs by thoroughly exploring the research purposes, categorization models, and CEBM archetypes outlined in the existing body of literature. Our findings show that research within this field remains to be theoretical. First, the primary aim of studies focuses on developing conceptual frameworks and models, creating supporting tools and methods, and analyzing drivers, enablers, and challenges. Second, among the most referenced frameworks in literature are those developed by the Ellen MacArthur Foundation and Accenture, which serve as foundational tools for practitioners. Third, studies of CEBM concentrate on closing the resource loop of a product life cycle. Future research should prioritize overlooked circular strategies, propose robust classification models, and address gaps in product‐centric and resource‐efficient business practice.
‘Crown‐Roots’ Structure Formed by Lignin‐Containing Cellulose Nanofibers for All‐Natural, Biorenewable Barrier Material
Authors: Gu Xunhong , Wang Wanhua , Kang Jinyu , Dong Xinrui , Guan Peilin , Li Bo 
Published: January 2025

AbstractDegradable and cost‐effective cellulose fiber‐based materials are ideal substitutes for traditional plastics. However, organic additives used to enhance water and oil resistance often contain toxic substances that may migrate into food, posing health risks. In this study, inspired by tree structures, lignin‐containing cellulose nanofibers (LCNFs) are used to form a “crown‐roots” structure to enhance the water, oil, and gas resistance, as well as mechanical performance of composites. Mechanically fibrillated LCNFs (M‐LCNFs), representing the tree roots, are blended with bamboo pulp and bagasse pulp to prepare cellulose fiber substrate. LCNFs films, representing the crown, are produced via a sol–gel method to improve the substrate's barrier properties. The LCNFs gel, representing the trunk, bonds the films to the substrate via hydrogen bond. The resulting material shows exceptional behaviors including 1) excellent water and oil resistance (Cobb value and WVTR decreased by 75.27% and 16.43% compared to the substrate, with a maximum kit value of 12), 2) outstanding mechanical performance (tensile index is 103.19 N·m g−1), and 3) good natural degradability. This material holds significant potential for industries with high safety standards, such as food, cosmetics, and medicine.
High‐Performance Ultraviolet Photodetector Based on the Vertical GaSe/GaN Heterojunction
Authors: Wang Yujing , Chen Jiawei , Hu Tiangui , Huang Yuqing , Zhu Wenkai , Li Weihao , Hu Yin , Wei Zhongming , Fan Zhongchao , Zhao Lixia , Wang Kaiyou 
Published: January 2025

AbstractUltraviolet light detection is essential for environmental monitoring, hazard alerting, and optical communication. Here, a vertical UV photodetector is proposed and demonstrated by stacking the freestanding GaN‐film on the 2D GaSe flake. Benefits from the vertical heterostructure and built‐in electric field, the photodetector exhibits excellent photoresponse properties, including a high responsivity of 1.38 × 105 A/W and a high specific detectivity of 1.40 × 1016 Jones under 362 nm wavelength illumination. Additionally, the device demonstrates fast rise and decay time of 18.0 and 21.8 µs, respectively. This work paves the way for design and realization of the high‐performance GaN‐based photodetectors.
Stimuli‐Responsive Nano Drug Delivery Systems for the Treatment of Neurological Diseases
Authors: Dai Xi‐jian , Li Wen‐Jia , Xie Dong‐Dong , Liu Bi‐xia , Gong Lianggeng , Han Hai‐Hao 
Published: January 2025

AbstractNanomaterials with unparalleled physical and chemical attributes have become a cornerstone in the field of nanomedicine delivery. These materials can be engineered into various functionalized nanocarriers, which have become the focus of research. Stimulus‐responsive nanodrug delivery systems (SRDDS) stand out as a sophisticated class of nanocarriers that can release drugs in response to environmental cues. Due to the complex pathogenesis and the multifaceted pathological environment of the nervous system, developing accurate and effective drug therapy with low side‐effects is a formidable task. In recent years, SRDDS have been widely used in the treatment of neurological diseases. By customizing SRDDS to align with the specific microenvironment of the nervous system tissues or external stimulation, the efficacy of drug delivery can be enhanced. This review provides an in‐depth look at the characteristics of the microenvironment of neurological diseases and highlights case studies of SRDDS tailored to treat these disorders based on the unique stimulation criteria of nervous system tissues or external triggers. Additionally, this review provides a comprehensive overview of the progress and future prospects of SRDDS technology in the treatment of neurological diseases, providing valuable guidance for its transition from fundamental research to clinical application.
Advances on Defect Engineering of Niobium Pentoxide for Electrochemical Energy Storage
Authors: She Liaona , Liu Dongye , Zhao Yin , Dong Linyao , Wu Zhijun , Xue Xu , Tian Ye , Du Wubin , Zheng Chao , He Shengnan , Zhang Mingchang , Liu Yanxia , Gan Jiantuo , Li Chenchen , Gao Yong , Qi Fulai , Ren Xiangrong , Jiang Yinzhu , Yang Yaxiong , Gao Mingxia , Pan Hongge 
Published: January 2025

AbstractThe reasonable design of advanced anode materials for electrochemical energy storage (EES) devices is crucial in expediting the progress of renewable energy technologies. Nb2O5 has attracted increasing research attention as an anode candidate. Defect engineering is regarded as a feasible approach to modulate the local atomic configurations within Nb2O5. Therefore, introducing defects into Nb2O5 is considered to be a promising way to enhance electrochemical performance. However, there is no systematic review on the defect engineering of Nb2O5 for the energy storage process. This review systematically analyzes first the crystal structures and energy storage mechanisms of Nb2O5. Subsequently, a systematical summary of the latest advances in defect engineering of Nb2O5 for EES devices is presented, mainly focusing on vacancy modulation, ion doping, planar defects, introducing porosity, and amorphization. Of particular note is the effects of defect engineering on Nb2O5: improving electronic conductivity, accelerating ion diffusion, maintaining structural stability, increasing active storage sites. The review further summarizes diverse methodologies for inducing defects and the commonly used techniques for the defect characterization within Nb2O5. In conclusion, the article proposes current challenges and outlines future development prospects for defect engineering in Nb2O5 to achieve high‐performance EES devices with both high energy and power densities.