bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adsorption, kinetic, and thermodynamic studies of natural curcumin dye on cotton and polyamide fabric and the liberation of its active principle
Authors: Schmidt Michele , Bierhalz Andréa Cristiane Krause , de Aguiar Catia Rosana Lange 
Published: May 2024

AbstractThe increasing emphasis on environmental sustainability and the demand for eco‐friendly practices have led to a surge in interest in natural products, particularly natural dyes, across industries, including textiles. Curcumin, extracted from the turmeric plant, has gained widespread application not only for its vibrant colour characteristics but also for numerous therapeutic properties, serving as an antioxidant, anti‐inflammatory agent, and promoting wound‐healing effects. This study aims to understand the physical and chemical phenomena associated with the adsorption and desorption of turmeric extract and its active principles on cotton and polyamide fibres through mathematical models, with the goal of expanding textile applications. Dyeing experiments revealed adsorption equilibrium times of less than 25 min for both fibres, with the pseudo‐second‐order model providing the best fit for dyeing kinetics, suggesting control through the chemisorption process. The Freundlich model better suited cotton adsorption isotherms (R2 = 0.778), while the Langmuir model fit well for polyamide (R2 = 0.981). Thermodynamic parameters indicated non‐spontaneous interactions between curcumin and cotton, with an endothermic process, and an exothermic and spontaneous process for polyamide. Friction and water tests indicated greater colour resistance for polyamide, with grades exceeding 4. Desorption tests in 100% ethanol solution showed a total release of only 0.88% and 0.97% for polyamide and cotton, respectively, sustained for 12 h, fitting the Higuchi mathematical model, indicating a purely diffusive release process. These results demonstrate the potential of curcumin dye for achieving high dye exhaustion percentages in natural and synthetic fabrics and sustained release properties.
Metal organic framework composite based on CuBTC/SPION for application in methylene blue adsorption
Authors: Nguyen Thu Phuong , Nguyen Thi Thom , Pham Thi Nam , Do Thi Hai , Osial Magdalena , Le Minh Khoi , Nguyen Hong Nam , Le Phuong Thu , Dinh Thi Mai Thanh 
Published: May 2024

AbstractIn this work, a composite (CuBTC/superparamagnetic iron oxide nanoparticles [SPION]) based on copper, benzene‐1,3,5‐tricarboxylic acid (CuBTC) and SPION was synthesized by electrochemical method for the magnetic separation of methylene blue (MB) from aqueous solutions. The synthesis of the proposed composite was carried out under various experimental conditions from 1.4 to 5.4 V for 1–5 h and subsequently studied using different techniques. Scanning electron microscopy showed a granular structure, whereas Brunauer–Emmett–Teller results revealed a well‐developed surface area of around 182 m2 g−1. Fourier transform infrared confirmed the presence of functional groups characteristic to CuBTC and Fe3O4, whereas X‐ray diffraction revealed the phase structure of CuBTC 1D, CuBTC 3D, and Fe3O4 in the obtained composite. Based on the experimental results, the sample synthesized under a potential of 1.4 V for 5 h was selected for MB adsorption studies in the function of adsorbent mass, contact time, solution pH, ionic strength, initial concentration, and temperature. The maximum adsorption capacity was 681 mg g−1, and the adsorption undergoes the Redlich–Peterson and Sips isotherm model. The results obtained for CuBTC/SPION indicate that the nanocomposite is a promising adsorbent for removing MB in synthetic dye water and wastewater.
Mitochondria‐Targeting Metallodrugs for Cancer Therapy: Perspectives from Cell Death Modes
Authors: Li Hao‐Ming , Wang Meng‐Meng , Su Yan , Fang Hong‐Bao , Su Zhi 
Published: May 2024

AbstractMitochondria, recognized as the cellular powerhouses, are indispensable organelles responsible for crucial cellular processes, such as energy metabolism, material synthesis, and signaling transduction. Their intricate involvement in a broad spectrum of diseases, particularly cancer, has propelled the exploration of mitochondria‐targeting treatment as a promising strategy for cancer therapy. Since the groundbreaking discovery of cisplatin, the trajectory of research on the development of metal complexes have been marked by continuous advancement, giving rise to a diverse array of metallodrugs characterized by variations in ligand types, metal center properties, and oxidation states. By specifically targeting mitochondria, these metallodrugs exhibit the remarkable ability to elicit various programmed cell death pathways, encompassing apoptosis, autophagy, and ferroptosis. This review primarily focuses on recent developments in transition metal‐based mitochondria‐targeting agents, offering a comprehensive exploration of their capacity to induce distinct cell death modes. The aim is not only to disseminate knowledge but also to stimulate an active field of research toward new clinical applications and novel anticancer mechanisms.
Racialized inequities in live birth after cancer: A population‐based study of 63,000 female adolescents and young adults with cancer
Authors: Betts Andrea C. , Roth Michael E. , Albritton Karen , Pruitt Sandi L. , Lupo Philip J. , Wang Jennifer S. , Shay L. Aubree , Allicock Marlyn A. , Murphy Caitlin C. 
Published: May 2024

AbstractIntroductionFertility after cancer is a top concern for adolescents and young adults with cancer (AYAs) (15–39 years old at diagnosis). The authors characterized live births after cancer by race and ethnicity (“race/ethnicity”) in a population‐based sample of female AYAs.MethodsThis study used Texas Cancer Registry data linked to birth certificates (1995–2016) to estimate cumulative incidence of live birth, based on first live birth after cancer, and compared differences by race/ethnicity. Proportional subdistribution hazards models were used to estimate associations between race/ethnicity and live birth, adjusted for diagnosis age, cancer type, stage, year, and prior live birth, overall and for each cancer type.ResultsAmong 65,804 AYAs, 10‐year cumulative incidence of live birth was lower among non‐Hispanic Black AYAs than other racial/ethnic groups: 10.2% (95% confidence interval [CI], 9.4–10.9) compared to 15.9% (95% CI, 14.1–17.9) among Asian or Pacific Islander, 14.7% (95% CI, 14.2–15.3) among Hispanic, and 15.2% (95% CI, 14.8–15.6) among non‐Hispanic White AYAs (p < .01). In the adjusted overall model, Black AYAs were less likely to have a live birth after cancer than all other groups. In adjusted models for each cancer type, live birth was significantly less likely for Black AYAs with gynecologic cancers or lymphomas (compared to White AYAs) or thyroid cancers (compared to Hispanic AYAs).ConclusionBlack AYAs are less likely than AYAs of other races/ethnicities to have a live birth after cancer, in contrast to patterns of live birth in the general population. Research and action to promote childbearing equity after cancer are imperative.
A Cluster Analysis of Neuropsychological Impairment in Borderline Personality Disorder: Identifying a Neurocognitive Subtype Linked to Attention Deficit Hyperactivity Disorder
Authors: López‐Villatoro J. M. , Diaz‐Marsá M. , Ayad‐Ahmed W. , Rico‐Pérez A. , Perez‐Diez I. , Galvez‐Merlin A. , Prittwitz C. , Carrasco J. L. 
Published: May 2024

ABSTRACTIntroductionCognitive impairment associated with borderline personality disorder (BPD) has been consistently demonstrated. However, a specific neuropsychological profile has not yet been established for this disorder, maybe due to the heterogeneity of BPD. The aim of this work is the search for distinct neuropsychological subtypes among patients with BPD and for the association of neuropsychological subgroups with specific clinical characteristics.MethodologyOne hundred fifteen patients with BPD diagnosis received an extensive neuropsychological evaluation assessing attentional, memory and executive functions indexes. For subtyping strategies, a cluster analysis of neuropsychological BPD distribution was performed. Central clinical dimensions of BPD were measured and analysed in relation with the obtained neuropsychological clusters.ResultsTwo clusters were found: Cluster 1 showed a significantly lower score on the working memory index, and Cluster 2 had significantly worse overall executive performance, response inhibition and planning abilities. Patients in the neurocognitive Cluster 2 showed significantly higher clinical deficits of attention as measured with subscales of the CAARS attention deficit hyperactivity disorder (ADHD) index (F = 2.549, p < 0.005, d = 11.49).ConclusionsTwo neuropsychological clusters of patients were found in the BPD sample: Cluster 1 patients showed greater impairment in working memory, while Cluster 2 patients had greater deficits of executive functioning, particularly for response inhibition and planning. In addition, BPD patients with greater executive deficits presented greater levels of ADHD clinical features. These findings might also facilitate earlier diagnosis of severe BPD patient profiles and to establish more personalized treatment based on neurocognitive stimulation.
Analysis and performance evaluation of computation models for node localization in deep sea using UWSN
Authors: Kumar Manni , Goyal Nitin , Singh Ashutosh Kumar , Kumar Rakesh , Rana Arun Kumar 
Published: May 2024

SummaryUnderwater wireless sensor network (UWSN) connects the real world to the hidden resources available deep into the sea using sensor nodes deployed sparsely and are interconnected to gather information for any movement/change in the ocean. The computed information on nodes obtained from concurrently running UWSN's applications will be meaningful, only if the location of this change will be identified. Nevertheless, it is always difficult to obtain the exact location coordinates of any misadventure like tectonic plate's movement but using localization algorithms in UWSN helps to obtain the coordinates. Since localization algorithms for terrestrial networks are not feasible for UWSN because of environmental challenges. Moreover, GPS systems do not work after 15 m of depth and the radio frequency gets suppressed. So, the requirement arises to analyze existing localization approaches in the deep sea where acoustic signals are used for communication and data transfer. In this paper, along with describing the UWSN's applications and challenges, the underwater localization schemes are reviewed to present, summarize, and mention the scope of improvement. Further, classification into range‐based and range‐free categories of these schemes is depicted with implementation in the NS2.30 simulation environment of some of the recent techniques to showcase the reasons for better performance.
Population density effects on gamete traits and fertilisation dynamics under varying sperm environments in mussels
Authors: Sherman Craig D. H. , Careau Vincent , Gasparini Clelia , Weston Kim J. , Evans Jonathan P. 
Published: May 2024

AbstractGamete traits can vary widely among species, populations and individuals, influencing fertilisation dynamics and overall reproductive fitness. Sexual selection can play an important role in determining the evolution of gamete traits with local environmental conditions determining the strength and direction of sexual selection. Here, we test for signatures of post‐mating selection on gamete traits in relation to population density, and possible interactive effects of population density and sperm concentration on sperm motility and fertilisation rates among natural populations of mussels. Our study shows that males from high‐density populations produce smaller sperm compared with males from low‐density populations, but we detected no effect of population density on egg size. Our results also reveal that females from low‐density populations tended to exhibit lower fertilisation rates across a range of sperm concentrations, although this became less important as sperm concentration increased. Variances in fertilisation success were higher for females than males and the effect of gamete compatibility between males and females increases as sperm concentrations increase. These results suggest that local population density can influence gamete traits and fertilisation dynamics but also highlight the importance of phenotypic plasticity in governing sperm–egg interactions in a highly dynamic selective environment.
The functional diversity–productivity relationship of woody plants is climatically sensitive
Authors: Yan Haoru , Schmid Bernhard , Xu Wubing , Bongers Franca J. , Chen Guoke , Tang Ting , Wang Zhiheng , Svenning Jens‐Christian , Ma Keping , Liu Xiaojuan 
Published: May 2024

AbstractPlot‐scale experiments indicate that functional diversity (FD) plays a pivotal role in sustaining ecosystem functions such as net primary productivity (NPP). However, the relationships between functional diversity and NPP across larger scale under varying climatic conditions are sparsely studied, despite its significance for understanding forest–atmosphere interactions and informing policy development. Hence, we examine the relationships of community‐weighted mean (CWM) and functional dispersion (FDis) of woody plant traits on NPP across China and if such relationships are modulated by climatic conditions at the national scale. Using comprehensive datasets of distribution, functional traits, and productivity for 9120 Chinese woody plant species, we evaluated the distribution pattern of community‐weighted mean and functional dispersion (including three orthogonal trait indicators: plant size, leaf morphology, and flower duration) and its relationships with NPP. Finally, we tested the effects of climatic conditions on community‐weighted mean/functional dispersion–NPP relationships. We first found overall functional diversity–NPP relationships, but also that the magnitude of these relationships was sensitive to climate, with plant size community‐weighted mean promoting NPP in warm regions and plant size functional dispersion promoting NPP in wet regions. Second, warm and wet conditions indirectly increased NPP by its positive effects on community‐weighted mean or functional dispersion, particularly through mean plant size and leaf morphology. Our study provides comprehensive evidence for the relationships between functional diversity and NPP under varying climates at a large scale. Importantly, our results indicate a broadening significance of multidimensional plant functional traits for woody vegetation NPP in response to rising temperatures and wetter climates. Restoration, reforestation actions and natural capital accounting need to carefully consider not only community‐weighted mean and functional dispersion but also their interactions with climate, to predict how functional diversity may promote ecosystem functioning under future climatic conditions.
Elusive mustelids—18 months in the search of near‐threatened stoat (Mustela erminea) and weasel (M. nivalis) reveals low captures
Authors: Konradsen Sofie Nørgaard , Havmøller Linnea Worsøe , Krag Charlotte , Møller Peter Rask , Havmøller Rasmus Worsøe 
Published: May 2024

AbstractStoat (Mustela erminea) and weasel (M. nivalis) are hard to monitor as they are elusive of nature and leave few identifying marks in their surroundings. Stoat and weasel are both fully protected in Denmark and are thought to be widely distributed throughout the country. Despite this stoat and weasel were listed on the Danish Red List as Near Threatened in 2019, as their densities and population trends are unknown. Using a modified novel camera trapping device, the Double‐Mostela, a wooden box comprising a tracking tunnel and two camera traps, we attempted to obtain density estimates based on identification of individual stoats and weasels. We deployed camera traps both inside Double‐Mostela traps and externally in three different study areas in northern Zealand, Denmark, and tested commercial, American scent‐based lures to attract stoat and weasel. We obtained very low seasonal trapping rates of weasel in two study areas, but in one study area, we obtained a seasonal trapping rate of stoat larger compared to another study using the Mostela. In one study area, both species were absent. We observed no effect of scent‐based lures in attracting small mustelids compared to non‐bait traps. Potential reasons behind low capture rates of weasel and stoat are suboptimal habitat placement and timing of deployment of the Double‐Mostelas, land‐use changes over the last 200 years, predation from larger predators, as well as unintended secondary poisoning with rodenticides. Due to the scarcity of weasel and stoat captures, we were unable to make density estimates based on identification of individuals; however, we identified potential features that could be used for identification and density estimates with more captures.
Making temporal dynamics relevant: The role of macrophytes in the phenological complexity of a shallow freshwater lake
Authors: Tóth Viktor R. 
Published: May 2024

AbstractA multidisciplinary approach demonstrates how submerged macrophytes generate high phenological variability in Hungary's Lake Balaton. A 239‐month time series of water chlorophyll indices derived from Landsat 7 imagery from 1999 to 2019 was used. These data facilitated the generation of area‐based phenological patterns, which allowed an assessment of phenological variability by correlating chlorophyll index sequences with spatially adjacent values. The results showed that phenological variability was consistently low (below 5%) at the farthest points from the shore, indicating uniform phenological processes in the pelagic zone of Lake Balaton. Conversely, the littoral zone showed almost eight times higher variability, indicating increased diversity in shallow water areas. In particular, extensive macrophyte biomass datasets revealed a direct relationship between increased phenological variability in the littoral zone and macrophyte biomass (Spearman rank correlation: 0.893). This research highlights contrasting phenological patterns between phytoplankton and macrophyte communities, driven by different life cycles, and the possibility of effectively using satellite data to delineate phenological separation within lakes.
Predator–prey interactions across hunting mode, spatial domain size, and habitat complexities
Authors: Orrick Kaggie , Sommer Nathalie , Rowland Freya , Ferraro Kristy 
Published: May 2024

AbstractPredator–prey interactions are a fundamental part of community ecology, yet the relative importance of consumptive and nonconsumptive effects (NCEs) (defined as a risk‐induced response that alters prey fitness) has not been resolved. Theory suggests that the emergence and subsequent predominance of consumptive or NCEs depend on the given habitat's complexity as well as predator hunting mode and spatial domain sizes of both predator and prey, but their relative influence on the outcome of predator–prey interactions is unknown. We built agent‐based models in NetLogo to simulate predator–prey interactions for three hunting modes—sit‐and‐wait, sit‐and‐pursue, and active—while concurrently simulating large versus small spatial domain sizes for both predators and prey. We studied (1) how hunting mode and spatial domain size interact to influence the emergence of consumptive or NCEs and (2) how, when NCEs do dominate, hunting mode and spatial domain separately or additively determine prey shifts in time, space, and habitat use. Our results indicate consumptive effects only dominate for active predators when prey habitat domains overlap completely with the predator's spatial domain and when sit‐and‐wait and sit‐and‐pursue predators and their prey both have large spatial domains. Prey are most likely to survive when they shift their time but most frequently shift their habitat. Our paper helps to better understand the underlying mechanisms that drive consumptive or NCEs to be most dominant.
Elevated Fungicide and Nutrient Concentrations Change Structure but not Function of Aquatic Microbial Communities
Authors: Gonçalves Sara , Feckler Alexander , Pollitt Annika , Baschien Christiane , Michael Julian , Schreiner Verena C. , Zubrod Jochen P. , Bundschuh Mirco 
Published: May 2024

Abstract
Leaf decomposition is a key process in stream ecosystems within forested catchments; it is driven by microbial communities, particularly fungi and bacteria. These microorganisms make nutrients and energy bound in leaves available for wider parts of the food web. Leaf-associated microorganisms are subjected to anthropogenic pressures, such as the increased exposure to nutrients and fungicides associated with land-use change. We assessed the sensitivity of leaf-associated microbial communities with differing exposure histories, namely, from pristine (P) streams, and streams impacted by wastewater (W) and agricultural run-off (vineyards; V). In the laboratory, microbial communities were exposed to elevated nutrient (NO3-N: 0.2–18.0 mg/L, PO4-P: 0.02–1.8 mg/L) and fungicide concentrations (sum concentration 0–300 µg/L) in a fully crossed 3 × 4 × 4-factorial design over 21 days. Leaf decomposition and exoenzyme activity were measured as functional endpoints, and fungal community composition and microbial abundance served as structural variables. Overall, leaf decomposition did not differ between fungicide treatments or exposure histories. Nonetheless, substantial changes in the fungal community composition were observed after exposure to environmentally relevant fungicide concentrations. Elevated nutrient concentrations assisted leaf decomposition, and the effect size depended on the exposure history. The observed changes in the fungal community composition support the principle of functional redundancy, with highly efficient decomposers maintaining leaf decomposition. Environ Toxicol Chem 2024;43:1300–1311. © 2024 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.