bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insights Into the Complexities of Antithrombotic Interactions: A Core–Shell Particle‐Based UHPLC–MS/MS Method to Investigate Dexamethasone's Influence on Apixaban and Rivaroxaban Pharmacokinetics
Authors: Sayed Rawda M. , Mahmoud Sally Tarek , Mostafa Eman A. , El‐Ashrey Mohamed K. , Moffid Marwa A. 
Published: February 2025

ABSTRACTThe implementation of core–shell particles in HPLC has many advantages in analytical methodologies, including enhancement of sensitivity and resolution. Moreover, high flow rates and short analysis times could be used to achieve efficient separations. A sensitive and specific UHPLC–MS/MS method was developed and validated for the simultaneous quantification of apixaban (APX) and rivaroxaban (RVX) in rat plasma. This validated method was designed to investigate the potential pharmacokinetic (PK) interactions between dexamethasone (DEX) and both cited drugs in rat model. Separation and validation were performed utilizing a C18 Poroshell 120EC (50 mm × 4.6 mm, 2.7 µm) column with a mobile phase of methanol:water with 0.1% formic acid (95:5, v/v) eluted in an isocratic mode at 0.3 mL/min flow rate. Liquid–liquid extraction method was employed to extract the cited drugs from rat plasma using diethyl ether:dichloromethane (70:30, v/v). The procedure was carried out utilizing positive ionization and multiple reaction monitoring mode (MRM) for the detection of the drugs and the internal standard, moxifloxacin. The bioanalytical method was validated using US‐Food and Drug Administration and European Medicines Agency guidelines in terms of selectivity, linearity, accuracy, precision, recovery, dilution integrity, matrix effect, stability, and carryover. On the basis of the findings of the PK study in rat model, a potential drug–drug interaction was observed between DDI and the cited antithrombotic medications that may lead to a decrease in their plasma concentrations. As a result, these findings can be utilized for further clinical investigation.
Efficient pretreatment method for analyzing microplastics in urban road dust containing composite materials
Authors: Yamamoto Kanako , Lee Soyoung , Tobino Tomohiro , Nakajima Fumiyuki 
Published: February 2025

AbstractTire wear particles (TWPs) and road marking paint (RMP) fragments are main sources of composite microplastics (MPs) in urban road dust and contribute significantly to the load of MPs in water environments. However, few studies have investigated the influence of organic decomposition such as cellulolytic enzyme decomposition (EZM) and Fenton (FT), on the abundance and characteristics of composite MPs in the environment. This study aimed to evaluate an organic matter decomposition method suitable for MP analysis using urban road dust containing composite materials, focusing on EZM and FT methods. The EZM has 1.1–4.5 times as high recovery of synthetic polymers as FT based on particle number. The difference in the number of orange particles was thought to be one of the factors behind this. Sodium citrate buffer used in EZM might degrade any components in the RMP‐suspected orange particles and reduce the particle density to float in the NaI solution. For black tire‐suspected particles, which were detected in large numbers, no significant difference was confirmed between EZM and FT in the number of these particles, but FT methods might affect the proportion of tire material in tire‐suspected materials. The EZM method may be useful for quantification of composite MPs and is more suitable for analyzing samples in which there may be many RMP‐suspected particles due to the characteristics of the surrounding environment or catchment area.Practitioner Points
Tires and road marking paint (RMP) are main sources of composite microplastics (MPs) washed into stormwater from road dust.
The cellulolytic enzyme decomposition is useful for analysis of composite MPs and comprehensive understanding of materials in the environment.
It is necessary to select an organic matter decomposition method that suits the sample characteristics and research purpose.
Investigating drug-liposome interactions using liposomal electrokinetic chromatography
Authors: Šimonová Alice , Balouch Martin , Štěpánek František , Křížek Tomáš 
Published: February 2025

Abstract
This study explores the potential of using liposomal electrokinetic chromatography as a ranking method for the rapid and simultaneous evaluation of drug-membrane interactions of a larger group of substances and assessing their sensitivity to tissue-specific parameters, namely pH, temperature, and lipid composition. We used a group of nine model drug substances to manifest how molecules could be classified for the relative sensitivity of drug-membrane interactions to pH and temperature. We observed that increasing the amount of liposomes in the background electrolyte significantly affected the separation kinetics of various active pharmaceutical ingredients, altering their mobility and/or peak shapes. Experiments with liposomes from bovine liver and heart tissue extracts revealed different interactions based on the lipid composition. Canagliflozin, which initially showed no electrophoretic mobility, migrated toward the anode in the presence of negatively charged liposomes. Mobility of positively charged substances, ambroxol and maraviroc, was suppressed by the interactions with liposomes. Their peaks also exhibited significant tailing. The effect on the separation of negatively charged compounds was significantly weaker. A small change in mobility was observed only in the case of deferasirox. We also examined the effect of temperature during separation, and we observed that increased temperature generally enhanced effective mobility due to lower electrolyte viscosity and increased lipid bilayer fluidity. Lastly, we tested the effect of sodium phosphate buffer pH (ranging from 6.0 to 8.0) with 4% liposomes on drug-liposome interactions. However, the effects were complex due to changes in API ionization and liposome surface charge, complicating the distinction between pH effects and liposome presence on API behavior. Our findings emphasize the significance of liposome composition, temperature, and pH in studying the interactions of liposomes with drugs, which is crucial for optimizing liposome-based drug delivery systems.
Evaluation of pomological traits and fatty acid profile of almond (Prunus dulcis L. [Mill.] D.A. Webb) genotypes grown in Yozgat province
Authors: Genç Büşra , Güney Murat 
Published: February 2025

Abstract
This study evaluated the pomological traits, oil content, and fatty acid profile of ten almond (Prunus dulcis L. [Mill.] D.A. Webb) genotypes naturally growing in the Yozgat region (Türkiye). Significant phenotypic variability at the 1% probability level was observed among the genotypes. Nut weights ranged from 0.70 to 5.10 g, while kernel weights varied between 0.15 and 0.83 g. The kernel-to-shell ratio ranged from 23.14 to 39.21%, with Genotype 4 exhibiting the highest kernel oil content (49.04%) and oleic acid levels (64.06%). Fatty acid analysis revealed oleic acid as the dominant component, followed by linoleic acid (23.32–38.90%) and palmitic acid (6.11–7.92%). Multivariate and principal component analyses (PCA) emphasized genetic variability, grouping genotypes based on key traits such as oil content, fatty acid composition, and kernel characteristics. For instance, Genotype 4 was closely associated with high monounsaturated fatty acid (MUFA) content, while Genotype 3 exhibited elevated polyunsaturated fatty acid (PUFA) levels. This study highlights the genetic potential of local almond genotypes, such as G4 and G3, for breeding programs targeting high-oil quality. The results underscore the importance of preserving almond genetic diversity in the Yozgat region for sustainable cultivation and future breeding initiatives.
Biodegradation of low sulfur fuel oil HDME 50 in seawater at sub-arctic temperatures with and without dispersants
Authors: Dang Nga Phuong , Reunamo Anna , Petrich Chris , Järvistö Johanna , Jørgensen Kirsten S. , Torske Lisa 
Published: February 2025

Abstract
Dispersant has been used effectively to enhance biodegradation rate of spilled oil in marine environment even at low temperature. However, the introduction of new ultra-low sulfur fuel oils (LSFO) to meet the new regulation for sulfur emission from ships, poses new challenges for oil spill response. There is limited knowledge regarding the dispersibility of the new oil type when applying dispersant, how toxic are the dispersed oils and how fast are the biodegradation of the oil components. Our current study tested biodegradation potential of chemically dispersed new LSFO, Hybrid Wide Range Gas Oil (HDME 50) and the un-dispersed oil film in seawater at 13 and 5 °C. Our study demonstrated that both dispersed HDME 50 and un-dispersed oil were biodegraded by bacterial communities in the seawater which was collected from Lofoten, Norway during September and March. The depletions of total hydrocarbon content after 64 days were 44, 38 and 23% for the dispersed oil and oil film microcosms at 13 °C, and oil film microcosms at 5 °C, respectively. The half-lives of n-alkanes and naphthalenes were shortest for the dispersed oil at 13 °C, followed by the oil film at the same temperature, and longest for oil film at 5 °C. Bacteria genera Polaribacter, Colwellia, Comamonas, Glaciecola and the unclassified Methylophilaceae became dominant in both dispersed oil and oil film microcosms tested at 13 °C. There was a delay of the temporal succession for genera Polaribacter and Colwellia at 5 °C compared to 13 °C. Genus Colwellia presented with higher abundance at 5 than 13 °C. Beside the common bacterial taxa for both temperatures, there were other bacterial taxa that only increased in oil treated winter seawater such as unclassified Flavobacteriaceae and unclassified Nitrincolaceae (formerly Oceanospirillaceae).
Discussion on the validity of commonly used reliability indices in sports medicine and exercise science: a critical review with data simulations
Authors: Warneke Konstantin , Gronwald Thomas , Wallot Sebastian , Magno Alessia , Hillebrecht Martin , Wirth Klaus 
Published: February 2025

Abstract
Apart from objectivity and validity, reliability is considered a precondition for testing within scientific works, as unreliable testing protocols limit conclusions, especially for practical application. Classification guidelines commonly refer to relative reliability, focusing on Pearson correlation coefficients (r
p) and intraclass correlation coefficients (ICC). On those, the standard error of measurement (SEM) and the minimal detectable change (MDC) are often calculated in addition to the variability coefficient (CV). These, however, do not account for systematic or random errors (e.g., standardization problems). To illustrate, we applied common reliability statistics in sports science on simulated data which extended the sample size of two original counter-movement-jump sessions from (youth) elite basketball players. These show that excellent r
p and ICC (≥ 0.9) without a systematic bias were accompanied by a mean absolute percentage error of over 20%. Furthermore, we showed that the ICC does not account for systematic errors and has only limited value for accuracy, which can cause misleading conclusions of data. While a simple re-organization of data caused an improvement in relative reliability and reduced limits of agreement meaningfully, systematic errors occurred. This example underlines the lack of validity and objectivity of commonly used ICC-based reliability statistics (SEM, MDC) to quantify the primary and secondary variance sources. After revealing several caveats in the literature (e.g., neglecting of the systematic and random error or not distinguishing between protocol and device reliability), we suggest a methodological approach to provide reliable data collections as a precondition for valid conclusions by, e.g., recommending pre-set acceptable measurement errors.
What drives customers to engage with social commerce: a systematic review and factor derivation approach
Authors: Busalim Abdelsalam , Asadi Shahla 
Published: February 2025

Abstract
Social commerce (s-commerce), as a new form of e-commerce, has transformed customer behavior with the rise of social networking sites (SNSs). This development has created new opportunities for online businesses seeking to establish customer-centric operations and leverage the power of SNSs by implementing effective customer engagement strategies for a competitive advantage. However, limited effort has been devoted to evaluating the current state of research in this area and consolidating the factors that drive individuals to engage in s-commerce. Therefore, this study conducted a Systemic Literature Review (SLR) to explore existing research on s-commerce and customer engagement, employing a factor derivation approach to identify and categorise the most prominent engagement factors. The findings classify these factors into three key dimensions: social, technological, and motivational. By offering a comprehensive theoretical framework, this study contributes to advancing empirical research and deepening our understanding of the mechanisms that stimulate customer engagement within the s-commerce landscape.
“Time without you”: Transition to widowhood and its impact on time perspective and attitudes toward the future
Authors: de Paula Couto M. Clara , Kim-Knauss Yaeji , Rothermund Klaus , Fung Helene H. , Hess Thomas M. , Lang Frieder R. 
Published: February 2025

Abstract
Widowhood is a significant life event that can profoundly alter an individual’s perception of time. Those who have lost a spouse often find themselves reflecting on past memories, while simultaneously feeling disconnected from the present. However, the impact of widowhood on one’s experience and perception of time has not been thoroughly explored. In this study, we investigate changes in time perspective during the transition to widowhood using a multidimensional approach to temporal experience. This perspective enriches the existing literature, which has primarily focused on the predictive role of time perspective by providing new insights into how major life events can reshape an individual’s experience of time. The sample was drawn from seven measurement points between 2009 and 2023 in the Aging-as-Future longitudinal study. It consisted of 1357 participants aged 50 and older who either remained married throughout the study period (n = 1270) or transitioned to widowhood (n = 87). We assessed four facets of time perspective: past-orientation, feelings of obsolescence, concreteness of the future time, and attitudes toward life’s finitude as well as subjective life expectancy. While the transition to widowhood predicted an increase in past-orientation and in feelings of obsolescence, it predicted a decrease in concreteness of the future. Spousal loss did not influence individuals’ attitudes toward finitude, but those experiencing widowhood reported a decrease in their perceived remaining lifetime. Our study showed that widowhood may lead to shifts in time perspective. Findings underscore the value of considering time perspective as a key indicator of an individual’s adjustment and functioning in response to a major life event.
Does “better” mean “less”? Sustainable meat consumption in the context of natural pasture-raised beef
Authors: Mazac Rachel , Sahlin Kajsa Resare , Hyypiä Iisa , Keränen Fanny , Niva Mari , Berglund Nora , Herzon Iryna 
Published: February 2025

Abstract
Livestock production has significant environmental impacts, requiring sustainable dietary shifts with reduced meat consumption. The concept of “less but better” has gained attention as a pragmatic approach to dietary and production changes, advocating for reduced meat consumption while focusing on sustainably produced, high-quality products. We focus on the interplay between “less” and “better” and critically evaluate the approach in the context of consuming natural pasture-raised beef in Finland. Our study focuses on consumers at the forefront of dietary change within western, upper-income contexts, who, with high educational and financial resources, may play a leading role in shifting to more sustainable diets. Based on 21 interviews with buyers of natural pasture-raised beef in Southern Finland, we investigate the meanings assigned to such premium-priced meat, understandings of the role of meat in sustainable diets, and reflections on the dietary changes in meat consumption when purchasing natural pasture-raised beef. Although meat was unanimously considered part of a sustainable diet, most interviewees recognized the global necessity of reducing meat consumption. The interviewees focused on health, naturalness, origin, and swapping beef for other meats as key factors in sustainable diets. The interpretation of “better” was primarily dominated by animal welfare concerns. However, when purchasing beef, taste emerged as the principal consideration. The relationship between “better” and “less” was ambiguous: the concept of “better” can lead to less consumption or provide a moral justification for maintaining the status quo or even increasing consumption of meat. Our results thus highlight the complexities of the “less but better” meat approach in transitioning to sustainable diets.
Does problem posing affect self-efficacy, task value, and performance in mathematical modelling?
Authors: Krawitz Janina , Schukajlow Stanislaw , Hartmann Luisa 
Published: February 2025

Abstract
Problem posing is a promising teaching method for enhancing motivation and performance in mathematics and more specifically in mathematical modelling. Hence, the goals of our study were twofold: (1) to examine the effects of problem posing on modelling performance, self-efficacy, and task values in solving modelling problems, and (2) to analyze whether problem posing affects modelling performance via self-efficacy and task values. In a randomized control trial involving ninth- and tenth-grade students (N = 210), participants were assigned to either a problem-posing and problem-solving group or to one of two problem-solving groups. Students in the problem-posing and problem-solving group received a booklet with descriptions of real-world situations and were prompted to pose and subsequently solve their own problems. Students in the two problem-solving groups received the same real-world situations with given problems and were asked to solve the problems. Before solving the problems, students in all groups reported their self-efficacy and task values. Prompting students to pose their own problems positively enhanced students’ self-efficacy and partially improved their task values in solving modelling problems. Further, problem posing indirectly affected modelling performance via self-efficacy but not task values. However, problem posing had no total effect on modelling performance. The findings for self-efficacy and task values are in line with expectancy-value theories, adding new insights to the field by highlighting the importance of motivational constructs in problem-posing approaches and instructions aimed at fostering mathematical modelling.
Prevalence of aeroallergen sensitization in a polluted and industrialized area: a pilot study in South Africa’s Vaal Triangle
Authors: Gharbi Dorra , Neumann Frank Harald , Staats Jurgens , McDonald Marinda , Linde Jo-hanné , Mmatladi Tshiamo , Podile Keneilwe , Piketh Stuart , Burger Roelof , Garland Rebecca M. , Bester Petra , Lebre Pedro Humberto , Ricci Cristian 
Published: February 2025

Abstract
This pioneering study evaluates the prevalence of aeroallergens reactivity among atopic populations living in the Vaal Triangle Airshed Priority Area (VTAPA), South Africa. A total of 138 volunteers (51 males and 87 females), of African, colored, white, and Asian ethnicity, and with a mean (range) age of 22 (18–56) years were participating in the study. The study was conducted on the North-West University (NWU) campus in Vanderbijlpark/VTAPA. The International Study of Asthma and Allergies in Childhood questionnaire was utilized for pre-screening to identify individuals with probable allergic dispositions. Subsequently, skin prick testing was conducted using commercial aeroallergen extracts for all confirmed participants with allergy symptoms. One hundred six participants were clinically diagnosed with pollen and fungal spore allergies. The highest allergy prevalence was attributed to Cynodon dactylon ((L.) Pers) (Bermuda grass) (41.5%), followed by Lolium perenne (L.) (ryegrass), grass mix, and Zea mays (L.) (maize) (31.1%), respectively. Moreover, among the tree allergens, Olea (L.) (olive tree) was the most prevalent allergen (20; 18.8%), followed by Platanus (L.) (plane tree) (18; 16.9%). Among the weeds, 16 (15.1%) participants were allergic to the weed mix (Artemisia (L.) (wormwood), Chenopodium (Link) (goosefoot), Salsola (L.) (saltwort), Plantago (L.) (plantain), and 11 (10.3%) to Ambrosia (L.) (ragweed)). Regarding the fungal spores, Alternaria (Fr.) (9; 8.5%) followed by Cladosporium (Link) (5; 4.7%) had the highest skin sensitivity. In this pilot study, our findings provide insights into the prevalence of allergic responses in the study population—underlining the strong impact of allergens of exotic plants—and contribute to the existing aerobiological data in South Africa.
Black holes as laboratories: searching for ultralight fields
Authors: Brito Richard 
Published: February 2025

Abstract
The interaction of black holes with classical fields can lead to many interesting phenomena such as black-hole superradiance and the superradiant instability. The existence of these effects has been shown to have implications for beyond Standard Model particles that could explain dark matter, namely ultralight bosonic fields. In this note I give a historical account of this topic and briefly go through some recent developments. I conclude with some personal reflections on the importance of constraining simple dark matter models, even if such models may ultimately be the incorrect description of nature.
Resiliency through Applied Research into Emerging Constituents
Authors: Posadas Gregor R. , Baker Joshua C. , Ryan Abigail S. , Miller Sondra M. 
Published: February 2025

Abstract
Emerging constituents (ECs), which are referred to as contaminants of emerging concern (CECs) or emerging contaminants, include pharmaceuticals and personal care products (PPCPs). ECs represent a growing challenge in wastewater treatment due to their persistence, environmental impacts, and potential health risks. This paper synthesizes findings from research focused on the behavior and fate of ECs within the Lander Street Water Renewal Facility (LSWRF). This research explores EC removal trends across treatment processes, including physical settling, biological treatment, and UV disinfection, highlighting varying efficiencies dependent on constituent characteristics. Key observations include significant reductions for some ECs, sequestering and release behaviors, and persistent concentrations of others. Temporal and spatial EC concentration variations within LSWRF underscore the influence of seasonality and facility-specific factors on treatment outcomes. The synthesis integrates these findings into a unified framework for understanding EC dynamics in water renewal facilities, emphasizing the need for resilient and adaptive infrastructure to mitigate their environmental and health impacts. This study provides critical insights to guide future research, policy development, and the design of sustainable water treatment systems.