bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heavy Metal Contamination in Plants: Sources, Monitoring, and Data‐Driven Insights
Authors: Yadav ArvindKumar , Hasan Mohseena , Kour Simranjeet , Chandra Ratna , Singh VivekKumar , Noor I.M. , Yahya M.Z.A. , Singh Har Mohan , Tripathi Ashutosh 
Published: February 2025

AbstractThe present study explores the impact of heavy metals on plant physiology and development, emphasizing sources, tracking methods, and health effects. It provides a comprehensive understanding and proposes strategies to mitigate these negative impacts. Advanced data analytics are used to track metal movement and concentration in plant species and environmental conditions. Heavy metals like cadmium, lead, and mercury disrupt plant growth, photosynthesis, and nutrient uptake, thereby reducing plant vitality and productivity. Data tracking reveals specific accumulation hotspots and adaptive mechanisms plants use to mitigate toxic effects. Effective tracking and data analytics are essential for understanding the extent of metal pollution. The study highlights the need for integrated approaches, such as phytoremediation, soil amendments, and regulatory measures, to address heavy metal stress. Future research should focus on developing more efficient tracking technologies and exploring genetic engineering solutions.
A Novel Strategy for High‐Sensitivity Detection of Sulfadiazine Using Green Silicon Quantum Dots Based Fluorescent Molecularly Imprinted Sensors
Authors: Lu Hongjie , Chen Xiaoqiang , Xu Wanzhen , Yang Wenming , Huang Weihong 
Published: February 2025

ABSTRACTThe issue of pharmaceutical residues in the environment has become increasingly severe, with the detection of sulfonamide antibiotics emerging as a research hotspot in environmental monitoring. Herein, we present a method for detecting sulfadiazine based on a silicon quantum dots (SiQDs)‐based fluorescent molecularly imprinted sensor. SiQDs, synthesized using an aqueous phase method, exhibit remarkable fluorescent properties, such as a broad excitation spectrum, tunable emission wavelengths, and high fluorescence stability, offering significant advantages in pharmaceutical detection. By integrating amino‐functionalized silica nanospheres (NH2‐SiO2) and tetraethyl orthosilicate, SiQDs were surface‐functionalized to construct SiQDs@NH2‐SiO2@MIPs composite materials. The modified fluorescent molecularly imprinted polymers not only exhibited high selectivity and affinity for the target molecule SDZ, but also demonstrated excellent stability and resistance to interference in complex environments. Experimental results revealed that the sensor displayed a strong linear correlation within the concentration range of 40–100 μmol·L−1, with a detection limit of 0.036 ng·mL−1, demonstrating high sensitivity and excellent selectivity. In real sample applications, the recovery rate ranged from 97.88% to 100.74%, with a relative standard deviation of less than 5.37%. These findings emphasize the wide potential applications of this sensor, especially in water quality monitoring, environmental protection, and pharmaceutical detection.
Enhancing the mechanical, conductive, and chemical resistance properties of SEBS nanocomposites using graphene nanoplatelets
Authors: Li Shuangshan , Liu Xinyu , Yang Zeyu , Han Sensen , Gu Haicheng , Chu Liyang , Meng Qingshi 
Published: February 2025

AbstractStyrene‐Ethylene‐Butylene‐Styrene (SEBS) has garnered considerable attention for its excellent stability and aging resistance, yet its broader industrial applications require enhanced functionalities, including electrical and thermal conductivity, as well as chemical resistance. This study investigates the preparation of graphene nanoplatelet (GNP)‐reinforced SEBS/PP/oil (SPO) nanocomposites, with an emphasis on a novel ball‐milled variant (B‐SPO/GNP) engineered to improve mechanical strength and multifunctional performance. SPO/GNP and B‐SPO/GNP nanocomposites were prepared using twin‐screw extrusion and injection molding, with GNP loadings ranging from 0.5 to 30 wt%. Comprehensive characterization revealed significant improvements across multiple properties, primarily driven by the uniform dispersion of GNPs and enhanced interfacial bonding within the matrix. Notably, tensile strength increased by 38.89% in B‐SPO/GNP‐2 compared to unreinforced SPO, while B‐SPO/GNP‐20 achieved a thermal conductivity of 0.415 W/m·K and an electrical conductivity of 1.88 × 10−7 S/cm. In addition, an electrical percolation threshold was observed at 17.35 wt% for B‐SPO/GNP nanocomposites. Enhanced chemical resistance and long‐term salt spray corrosion performance were attributed to the formation of an effective GNP‐based protective barrier. These findings underscore the potential of B‐SPO/GNP nanocomposites as durable, high‐performance materials, offering a promising platform for advanced polymer nanocomposite development in demanding industrial applications.Highlights
Mechanical ball milling improved GNP dispersion and interface bonding.
B‐SPO/GNP showed a maximum increase of 38.89% in tensile strength over SPO.
Electrical percolation threshold in B‐SPO/GNP reduced to 17.35 wt%.
B‐SPO/GNP displayed improved thermal conductivity and stability.
B‐SPO/GNP exhibited superior chemical and corrosion resistance.
A Comprehensive Quality Evaluation Strategy of Wendan Decoction Based on Qualitative, Fingerprint, and Quantitative Analyses
Authors: Huang Chen , Chen Shibin , Zhang Yumeng , Xu Yanxue , Zhao Chunjie , Zhao Min 
Published: February 2025

ABSTRACTIntroductionWendan decoction (WDD), a classic Chinese medicine formula, has been used for the treatment of insomnia for hundreds of years. However, the current research on the chemical composition and the material basis of the medicinal effect of WDD is not perfect, which limits further research on it.ObjectivesIn the present study, we aimed to propose a methodology for the quality control of WDD based on qualitative and quantitative analysis of its components.MethodsThe chemical composition of WDD was identified through UPLC‐Q‐Exactive Orbitrap MS technology. Then, high‐performance liquid chromatography was utilized to establish the fingerprint of 10 batches of WDD and determine the content of some common peaks. The quality evaluation and quality control of WDD were implemented from three aspects: chemical composition, fingerprint, and content determination.ResultsThe study initially identified 113 chemical components, including 51 flavonoids, 13 amino acids, seven nucleotides, five alkaloids, eight phenylpropanoids, eight terpenoids, 12 organic acids, and nine other compounds. In this study, the fingerprint of WDD was established by HPLC, and a total of 23 common peaks were found and seven common peaks were determined. The similarity (R) between 10 batches of WDD fingerprints and reference fingerprints was greater than 0.993. The results of methodological verification met the requirements.ConclusionBased on the three dimensions of qualitative analysis, fingerprint, and content determination, this study explored the quality control of WDD and selected seven flavonoids as quality evaluation indexes of WDD, thus laying a solid foundation for subsequent pharmacodynamic research.
Perspectives on Social Anxiety and Barriers to School‐Based Mental Health Services Among Black American Adolescents
Authors: Fox Jeremy K. , Martin Grace , Walls Taylor , Perrone Laura , Francois Marline , Saha Priya , Lekas Helen‐Maria , Warner Carrie Masia 
Published: February 2025

ABSTRACTFew studies have examined social anxiety in Black American adolescents, despite the role of unique sociocultural factors and lower rates of mental health service use in this population. The goal of this qualitative study was to examine the perceptions and experience of social anxiety, as well as attitudes toward help‐seeking and school‐based mental health services, in Black American adolescents. Focus groups and individual interviews were conducted with 15 Black American students from an urban, public high school in the northeast United States. Overall, students provided descriptions of social anxiety consistent with typical presentations and linked social anxiety to experiences that occur in the Black community, such as racial discrimination and stigma. In addition, students identified barriers to help‐seeking and school‐based mental health services, including a preference to handle things on their own, as well as concerns about treatment effectiveness, confidentiality, negative responses from parents, and appearing weak. Findings may inform efforts for developing culturally sensitive and accessible school‐based interventions for Black American adolescents with social anxiety.
In Vivo Efficacy of a Macrocyclic Peptoid‐Peptide Hybrid That Selectively Modulates the Beta‐Catenin/TCF Interaction to Inhibit Prostate Cancer
Authors: Habault Justine , Franco Jennifer L. , Ha Susan , Schneider Jeffry A. , Voisin Maud , Wise David R. , Wong Kwok‐Kin , Garabedian Michael J. , Kirshenbaum Kent , Logan Susan K. 
Published: February 2025

ABSTRACTBackgroundProstate cancer is the most common form of male cancer and can initially be treated as a localized disease. Although the 5‐year survival rate at diagnosis approaches 100 percent, a subset of patients will subsequently develop resistance to treatment. This may ultimately lead to metastatic castration resistant prostate cancer (mCRPC), for which the prognosis is much less favorable. The importance of the Wnt/β‐catenin pathway in treatment‐resistant prostate cancer has inspired efforts to exploit the interaction of β‐catenin with its transcription binding partners as a therapeutic strategy for prostate cancer.MethodsPeptoid‐peptide macrocycles are attractive design scaffolds for disrupting protein‐protein interactions. In this study, we evaluate a library of these macrocycles and demonstrate their selectivity for the β‐catenin/TCF (T Cell Factor) interaction.ResultsImportantly, we show that the macrocycles do not significantly alter the binding of β‐catenin to cell surface protein, E‐cadherin. Our lead sequence, Macrocycle 13, (MC13) was also tolerant of modifications aimed to improve aqueous solubility while retaining activity. Herein, we demonstrate in vivo proof of principle for using peptidomimetic macrocycles to target the β‐catenin/TCF interaction. Treated prostate cancer mouse xenografts show markedly diminished tumor growth and decreased levels of myc protein. MC13 also inhibits growth in an organoid model with genetic alterations frequently found in prostate cancer. Transcriptome analysis of prostate cancer cells treated with MC13 reveals downregulation of key pathways, including Wnt/β‐catenin and c‐myc. Furthermore, chromatin immunoprecipitation (ChIP) analysis shows reduced β‐catenin at its target genes, axin2 and c‐myc.ConclusionOur findings underscore the therapeutic potential of peptoid‐peptide macrocycle inhibition of β‐catenin in prostate cancer.
Bio‐based two‐dimensional amphiphile with hierarchical self‐assembly for enhancing pesticide utilization and reducing environmental risks
Authors: Wu Yanling , Zhang Songhao , Bao Zhenping , Liu Rui , Sun Fengzhe , Wang Yue , Huang Haiqi , Gao Yuxia , Ma Yongqiang , Zhang Chenhui , Du Fengpei 
Published: February 2025

AbstractBACKGROUNDBiotic and abiotic stresses threaten crop growth and yield. Agrochemicals are an important way to mitigate biotic stress, while frequent low utilization and potential environmental risk affect their sustainable use. In order to improve pesticide utilization, it is common practice to add tank‐mix adjuvants by reducing surface tension or forming spherical self‐assembly. However, there is a lack of quantitative indicators to screen suitable molecules for sustainable application. In this work, critical factors based on physicochemical properties, and kinetic and thermodynamic parameters are applied to analyze regulatory mechanisms in dynamic processes, and ultimately to establish an integrated strategy for the management of stresses.RESULTSCompared with traditional one‐dimensional linear amphiphilic molecules, two‐dimensional bio‐based amphiphilic molecules, especially sodium deoxycholate (NaDC), form self‐assembly and could significantly promote the deposition of agrochemical droplets due to maximum energy dissipation. Meanwhile, NaDC increased the inhibition rate of pyraclostrobin against Rhizoctonia solani from 24.4% to about 100.0%, which was beneficial for pesticide resistance to biotic stress. In addition, NaDC could significantly mitigate the harmful effects of salt stress on Oryza sativa by increasing the germination rate of salt‐stressed seeds by about 30%, and reducing the environmental risk of pesticides to soil microbial communities for eco‐friendly crop protection.CONCLUSIONHerein, this work demonstrates a sustainable strategy for crop management that enhances the effects of agrochemicals on biotic stresses, mitigates abiotic stresses, and significantly reduces environmental risks. © 2025 Society of Chemical Industry.
New Household Projections for Australia: Geographical Variations, Decomposition of Growth, and Implications for Policy
Authors: Wilson Tom , Temple Jeromey , Charles‐Edwards Elin 
Published: February 2025

ABSTRACTIn common with many other advanced economies, Australia is experiencing a crisis of worsening housing affordability. While some of the causes are longstanding, the crisis comes at a time of very high population growth driven by record high net immigration. This paper considers what the underlying demographic demand for housing, as expressed by the number of households, is likely to be over the next few years and then further ahead out to 2041. Particular attention is paid to the 2024–29 period because the Australian Government has announced a policy to build an additional 1.2 million new dwellings during this time. Using an updated version of the sequential propensity household projection model, household projections for 15 major regions of Australia were prepared for the period 2021–2041. Projected growth in the number of households was decomposed to reveal the contributions of various demographic and living arrangement drivers of growth. Alternative futures were considered using scenarios which take into account possible variations in both population and household variables. The projection results demonstrate the dominance of population growth in increasing household numbers, with additional growth contributed by population age structure change, while likely living arrangement trends will operate to dampen growth. Even considering alternative high growth futures, household growth over the 2024–29 period at the national scale is likely to be lower than 1.2 million. However, growth will vary considerably across the 15 regions, underscoring the need for housing supply to match geographical variations in household growth.
Verification of Entangled States Under Noisy Measurements
Authors: Zhang Lan , Li Yinfei , Liu Ye‐Chao , Shang Jiangwei 
Published: February 2025

AbstractEntanglement plays an indispensable role in numerous quantum information and quantum computation tasks, underscoring the need for efficiently verifying entangled states. In recent years, quantum state verification has received increasing attention, yet the challenge of addressing noise effects in implementing this approach remains unsolved. In this work, a systematic assessment of the performance of quantum state verification protocols is provided in the presence of measurement noise. Based on the analysis, a necessary and sufficient condition is provided to uniquely identify the target state under noisy measurements. Moreover, this work proposes a symmetric hypothesis testing verification algorithm with noisy measurements. Then, relying on states, a semidefinite program is demonstrated to calculate the infidelity threshold for arbitrary measurement noise. Subsequently, using a noisy nonadaptive verification strategy of Greenberger–Horne–Zeilinger and stabilizer states, the noise effects on the verification efficiency are analytically illustrated. From both analytical and numerical perspectives, this work demonstrates that the noisy verification protocol exhibits a negative quadratic relationship between the sample complexity and the infidelity. The method can be easily applied to real experimental settings, thereby demonstrating its promising prospects.
Characterization of Interaction Between Low‐Density Lipoprotein (LDL) and Alkaloid N‐Methyl Cytisine: The Potential Protective Effect on Lipid Oxidation
Authors: Bucci Antonella M. , Bustos Ana Y. , Frias María de los A. , Ledesma Ana E. 
Published: February 2025

AbstractElevated levels of low‐density lipoprotein (LDL) in the blood are one of the main risk factors for atherosclerosis and coronary heart disease. Oxidized LDL (ox‐LDL) plays an important role in the pathogenesis of atherogenesis. The interaction of LDL with natural alkaloids may exert a protective effect on the oxidation of lipoproteins. In this study, the binding of N‐methylcytisine (NMC) to LDL is examined at the molecular level, and its role in LDL oxidation is investigated. LDL was isolated by ultracentrifugation and quantitatively characterized, by the Bradford technique, using the SDS‐PAGE technique with a resolution of 8% and size was measured by dynamic light scattering (DLS). The characteristic bands attributed to the functional groups of the lipoproteins in the isolated fraction, were analyzed by Fourier transform infrared spectroscopy (FTIR‐ATR). Using UV–visible, Raman, FTIR and fluorescence spectroscopies, we found that LDL interacts with the alkaloid NMC and has a protective effect against LDL oxidation. Protein‐protein and ligand‐protein docking methods were used to construct a molecular model for the complex between the I domain of apoprotein B100 and NMC. Our results indicate that the binding of NMC to LDL lipoprotein occurs in the I‐domain of apoB‐100 and involves polar and hydrophobic residues.
A Review on Fluorescent Molecular Probes for Hg2+ Ion Detection: Mechanisms, Strategies, and Future Directions
Authors: Pramanik Rajib 
Published: February 2025

AbstractFluorescent molecular probes have gained significant attention due to their exceptional attributes, such as enhanced specificity, sensitivity, and reversibility. This review explores how organic probe molecules' fluorescence properties change when metal ions like Hg2+ bind to the probe receptors. The alteration in fluorescence properties results from distinct photophysical mechanisms such as photoinduced electron transfer, proton transfer, energy transfer, charge transfer, excimer formation, aggregation‐induced emission, and C═N isomerization etc. Besides, Hg2+ ions induce chemical reactions resulting in changes in structural conformation and fluorescence properties. As a result, this effect specifically affects the fluorescence signal of probe molecules, which is beneficial for advancing the fluorescence sensor technology developed to detect Hg2+ contamination. Focusing on environmental pollution and biological sample analysis, this study highlights applying fluorescent techniques using organic chromophores to detect heavy metal ions, particularly Hg2+ ions. Thus, fluorescent organic dyes with modifiable functional groups ensure precise detection and analysis, offering a robust platform for environmental monitoring and public health safety. We examine their detection capacities, sensing mechanisms, detection limits, strategies, and methodologies utilized. This review article provides significant insights into the efficacy and progress in the domain of fluorescent sensors for detecting Hg2+ ions.
(+)‐Dehydroabietylamine Based Phase Selective Organogelator: Sustainable Solution for Textile Dyes Removal and Oil Spill Remediation
Authors: Afsar Afsheen , Riaz Kashif , Muhammad Shoaib , Hashmi Imran Ali , Javed Muhammad Naveed , Bari Ahmad , Ali Firdous Imran 
Published: February 2025

AbstractIn this study, we report an ecofriendly, inexpensive and sustainable method for successful and effective dye removal from aqueous media up to 90% at room temperature. Three disperse dyes were examined in this study including, Red RD‐RBLS, Foron Blue SE‐2R and Foron Black S‐2B2S. The removal is carried out using a thiourea based low molecular weight organogelator (LMWOG) prepared from (+)‐dehydroabietylamine, a tricyclic diterpene, through adsorption. LMWOGs form self‐assemblies through non‐covalent interactions (H‐bonding, π−π stacking, electrostatic interactions and hydrophobic interactions). The dye adsorption also occurs due to non‐covalent interactions among gelator moleculaes and dye molecules. gelator is recovered and reused. Additionally, the synthesized thiourea gelator (T‐1) shows potential as an oil spill remedy. The gelator (T‐1) is applied in powder form to gelate hexane, ethylacetate, crudeoil, petrol, diesel and kerosine oil effectively from oil‐water mixture.
Synthesis of Oligomeric 4H‐1,2,6‐Thiadiazines
Authors: Kalogirou Andreas S. , Kourtellaris Andreas , Koutentis Panayiotis A. 
Published: February 2025

AbstractThe synthesis of oligomeric amino‐4H‐1,2,6‐thiadiazines, with terminal phenyl groups, containing up to four thiadiazine units is reported. The synthesis started from 3,5‐dichloro‐4H‐1,2,6‐thiadiazin‐4‐one and a key intermediate was 5,5′‐azanediylbis(3‐chloro‐4H‐1,2,6‐thiadiazin‐4‐one) which was coupled with phenyltributyl‐stannane in a Stille coupling to provide a bisthiadiazine oligomer. A stepwise C─N coupling reaction of 3,5‐dichloro‐4H‐1,2,6‐thiadiazin‐4‐one with 3‐amino‐5‐phenyl‐4H‐1,2,6‐thiadiazin‐4‐one provided a trithiadiazine oligomer, while similar reaction of 5,5′‐azanediylbis(3‐chloro‐4H‐1,2,6‐thiadiazin‐4‐one) with an excess of 3‐amino‐5‐phenyl‐4H‐1,2,6‐thiadiazin‐4‐one yielded a tetrathiadiazine oligomer. Two amino‐substituted bisthiadiazine oligomers with terminal anilino or alkylamino groups were also prepared. The anilino derivative was accessed by a C─N coupling of 5,5′‐azanediylbis(3‐chloro‐4H‐1,2,6‐thiadiazin‐4‐one) with aniline, while reaction with 2‐ethylhexane‐1‐amine occurred under thermal conditions in the absence of Pd to give a bisthiadiazine with terminal alkylamino groups. The optical and electronic properties of all oligomers were also studied by UV‐vis spectroscopy, cyclic voltammetry and DFT computations.
Bayesian Analysis for a Threshold Double Autoregressive Model With Explanatory Variables
Authors: Li Han , Fang Yinfang , Wang Haoyu 
Published: February 2025

ABSTRACTIn order to characterize the asymmetric effects of stock market and capture the impact of the explanatory variables on financial observations, this paper introduces explanatory variables into the threshold double autoregressive (TDAR) model and proposes a class of TDAR model with explanatory variables. Under the framework of Bayesian inference, the parameter estimation and model specification problems are well addressed. Specifically, the model parameters are estimated with the help of Markov chain Monte Carlo techniques. The problem of testing the existence of explanatory variables is also solved by means of Bayes factor. The accuracy of the estimation and the effectiveness of the hypothesis test are verified through numerical simulations. Finally, the proposed model is applied to empirical analysis of the S&P500 index, Shanghai Securities Composite Index (SSCI) and Hang Seng Index (HSI). The empirical analysis results show that the S&P500 index has typical asymmetry and is significantly affected by the SSCI and HSI indexes.