bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interval many‐objective dynamic charging planning in wireless rechargeable sensor networks
Authors: Zhang Yu , Zhao Tianhao , Wu Linjie , Cui Zhihua 
Published: July 2024

SummaryCharging path planning in wireless sensor networks (WSNs) refers to designing an efficient charging path for sensor nodes in the network. However, most charging schemes mainly consider the planning of charging paths and pay little attention to the impact of uncertainties, such as road conditions and environment on the planning of charging paths, as well as ignoring the charging problem of new nodes in need of charging. Road conditions and the environment directly affect the energy consumption of wireless charging vehicles (WCVs) during traveling. To address the aforementioned challenges, this article proposes an interval many‐objective charging path scheme model, the WCV consumption is an uncertain value, it will change according to the environment, and road conditions, so we represent it as an interval parameter with upper and lower bounds. An interval high‐dimensional multi‐objective model with target energy consumption, path distance, number of dead nodes, and communication delay is constructed. Second, to implement this model, an interval SPEA2 algorithm (I‐SPEA2) that introduces an environmental response mechanism is proposed. I‐SPEA2 treats individual target interval values as ranges of values on a two‐dimensional coordinate axis, forming a quadrilateral, calculates individual size probabilities based on the area to determine the dominant relationship, and combines fixed distance and interval overlap to eliminate redundant individuals. The simulation results show that the interval dynamic model is effective in prolonging the lifecycle of WSN as well as the proposed algorithm reduces the mortality rate of the nodes by 15%, 28%, 13%, 16%, and 21% compared with other algorithms.
Interfacial Engineering of Ag/C Catalysts for Practical Electrochemical CO2 Reduction to CO
Authors: Zhang Mengmeng , Zhang Gong , Gao Hui , Du Xiaowei , Wang Chujun , Wang Tuo , Zhang Peng , Gong Jinlong 
Published: July 2024

AbstractElectrochemical CO2 reduction to value‐added chemicals by renewable energy sources is a promising way to implement the artificial carbon cycle. During the reaction, especially at high current densities for practical applications, the complex interaction between the key intermediates and the active sites would affect the selectivity, while the reconfiguration of electrocatalysts could restrict the stability. This paper describes the fabrication of Ag/C catalysts with a well‐engineered interfacial structure, in which Ag nanoparticles are partially encapsulated by C supports. The obtained electrocatalyst exhibits CO Faradaic efficiencies (FEs) of over 90 % at current densities even as high as 1.1 A/cm2. The strong interfacial interaction between Ag and C leads to highly localized electron density that promotes the rate‐determining electron transfer step by enhancing the adsorption and the stabilization of the key *COO− intermediate. In addition, the partially encapsulated structure prevents the reconfiguration of Ag during the reaction. Stable performance for over 600 h at 500 mA/cm2 is achieved with CO FE maintaining over 95 %, which is among the best stability with such a high selectivity and current density. This work provides a novel catalyst design showing the potential for the practical application of electrochemical reduction of CO2.
Responses of non‐native and native plant species to fluctuations of water availability in a greenhouse experiment
Authors: Qin Wenchao , Sun Yan , Müller‐Schärer Heinz , Huang Wei 
Published: July 2024

AbstractWater availability strongly influences the survival, growth, and reproduction of most terrestrial plant species. Experimental evidence has well documented the effect of changes in total amount of water availability on non‐native vs. native plants. However, little is known about how fluctuations in water availability affect these two groups, although more extreme fluctuations in water availability increasingly occur with prolonged drought and extreme precipitation events. Here, we grew seven non‐native and seven native plant species individually in the greenhouse. Then, we exposed them to four watering treatments, each treatment with the same total amount of water, but with different divisions: W1 (added water 16 times with 125 mL per time), W2 (8 times, 250 mL per time), W3 (4 times, 500 mL per time), and W4 (2 times, 1000 mL per time). We found that both non‐native and native plants produced the most biomass under medium frequency/magnitude watering treatments (W2 and W3). Interestingly, non‐native plants produced 34% more biomass with the infrequent, substantial watering treatment (W4) than with frequent, minor watering treatment (W1), whereas native plants showed opposite patterns, producing 26% more biomass with W1 than with W4. Differences in the ratio of root to shoot under few/large and many/small watering treatments of non‐native vs. native species probably contributed to their different responses in biomass production. Our results advance the current understanding of the effect of water availability on non‐native plants, which are affected not only by changes in amount of water availability but also by fluctuations in water availability. Furthermore, our results indicate that an increased few/large precipitation pattern expected under climate change conditions might further promote non‐native plant invasions. Future field experiments with multiple phylogenetically controlled pairs of non‐native and native species will be required to enhance our understanding of how water availability fluctuations impact on non‐native invasions.
Integration of citizen science and eDNA reveals novel ecological insights for marine fish conservation
Authors: Kvalheim Lone , Stensrud Eivind , Knutsen Halvor , Hyvärinen Olli , Eiler Alexander 
Published: July 2024

AbstractIn the face of climate change, the accelerating nature crisis, and other anthropogenic impacts, conserving biodiversity demands effective monitoring. While innovative approaches have emerged to enhance biodiversity assessment, significant data gaps persist, particularly within marine ecosystems. In this study, we assess the utility of combining citizen (community) science with environmental DNA (eDNA) metabarcoding for characterizing and quantifying marine fish biodiversity. Over the summer of 2022, 32 volunteers conducted extensive water sampling in a large Norwegian fjord, yielding 96 samples. Contrasting eDNA findings with conventional observational surveys (such as a national species registration database and beach seine surveys) unveiled a substantial overlap in recorded species inventories. The eDNA citizen science initiative identified previously undocumented species and rediscovered others emphasizing an increase in warm‐water species within the study area. Additionally, eDNA data unveiled reduced diversity within the inner fjord relative to the outer fjord. To conclude, our study demonstrates the successful integration of eDNA within a citizen science framework, facilitating comprehensive biodiversity tracking across coastal marine regions. These findings hold promise for advancing marine conservation efforts by providing valuable data to inform critical decision‐making processes.
Exploring the antioxidant realm of green tea: From extraction to fortification
Authors: Parvez Sadaf , Wani Idrees Ahmed 
Published: July 2024

AbstractGreen tea, a widely consumed beverage with a long history of traditional use has garned renewed scientific interest due to its potential health benefits. Unlike other tea types, green tea undergoes minimal oxidation and thus preserving its potent catechins and antioxidant properties. This review devels into the fascinating chemistry of green tea, exploring how processing steps like fixation and rolling, shape its distinct profile. We will further explore the potential health benefits associated with green tea consumption, acknowledging the existing research focus on tea polyphenols and aiming to provide a broader perspective on its potential health impact. Finally, the review examines the emerging application of green tea extract fortification in food matrices. This innovative approach offers exciting possibilities for enhancing food stability and sensory appeal while potentially contributing to a range of health benefits.
Time from admission to randomization and the effect of empagliflozin in acute heart failure: A post‐hoc analysis from EMPULSE
Authors: Ferreira João Pedro , Blatchford Jonathan P. , Teerlink John R. , Kosiborod Mikhail N. , Angermann Christiane E. , Biegus Jan , Collins Sean P. , Tromp Jasper , Nassif Michael E. , Psotka Mitchell A. , Comin‐Colet Josep , Mentz Robert J. , Brueckmann Martina , Nordaby Matias , Ponikowski Piotr , Voors Adriaan A. 
Published: July 2024

AbstractAimsPatients hospitalized for acute heart failure (HF) could be enrolled in EMPULSE (NCT04157751) upon haemodynamic stabilization and between 24 h and 5 days after hospital admission. The timing of treatment initiation may influence the efficacy and safety of drugs such as empagliflozin. The aim of this study was to evaluate patient characteristics, clinical events, and treatment effects according to time from admission to randomization.Methods and resultsThe EMPULSE population was dichotomized by median time from hospital admission to randomization (1–2 days vs. 3–5 days). The primary outcome was a hierarchical composite endpoint of time to all‐cause death, number of HF events, time to first HF event, and a ≥5‐point difference in Kansas City Cardiomyopathy Questionnaire total symptom score change from baseline after 90 days, analysed using the win ratio (WR) method. Patients randomized later (3–5 days, average time 3.9 days; n = 312) had a higher risk of experiencing clinical events than patients randomized earlier (1–2 days, average time 1.7 days; n = 215). The treatment effect favoured empagliflozin versus placebo in patients randomized later (3–5 days: WR 1.69, 95% confidence interval [CI] 1.26–2.25) but was attenuated in patients randomized earlier (1–2 days: WR 1.04, 95% CI 0.74–1.44) (interaction p = 0.029). A similar pattern was observed for the composite of HF hospitalization or cardiovascular death and all‐cause hospitalizations (interaction p < 0.1 for both). The reduction of N‐terminal pro‐B‐type natriuretic peptide levels was more pronounced with empagliflozin among patients randomized later than in patients randomized earlier (interaction p = 0.004).ConclusionsAmong patients hospitalized for acute HF enrolled in EMPULSE, those randomized later after hospital admission (3–5 days) experienced greater clinical benefit with empagliflozin than those randomized earlier (1–2 days). These findings should be confirmed in future studies before clinical application.
Organocatalyzed Asymmetric Cascade Michael/Michael Reaction of α‐Alkylidene Succinimides with a 2‐(Trifluoromethylmethylene)indane‐1,3‐dione
Authors: Tsuyusaki Ryo , Nakashima Kosuke , Matsushima Yasuyuki , Hirashima Shin‐ichi , Miura Tsuyoshi 
Published: July 2024

AbstractA diaminomethylenemalononitrile organocatalyst efficiently promoted asymmetric cascade Michael/Michael reactions between a 2‐(trifluoromethylmethylene)indane‐1,3‐dione derivative and α‐alkylidene succinimides, resulting in spiroindane‐1,3‐dione derivatives. These derivatives feature four consecutive carbon stereocenters, including one stereocenter with a trifluoromethyl substituent, and were formed in high yield with excellent enantioselectivity (up to 94 % ee). This study marks the first successful example of using methyleneindane‐1,3‐dione derivatives, bearing alkoxycarbonyl and trifluoromethyl groups at the β‐position, as Michael acceptors.
Plant‐assisted synthesis of Fe3O4 nanoparticles for catalytic degradation of methyl orange dye and electrochemical sensing of nitrite
Authors: Husnaa Mohd Taib Siti , Moozarm Nia Pooria , Rasit Ali Roshafima , Izadiyan Zahra , Izzah Tarmizi Zatil , Shameli Kamyar 
Published: July 2024

AbstractThe present study details a more environmentally friendly method for synthesizing iron oxide nanoparticles (Fe3O4‐NPs) utilizing Hibiscus sabdariffa (H. sabdariffa) leaf extract. The produced H. sabdariffa/Fe3O4‐NPs underwent characterization through VSM, XRD, FESEM‐EDX, TEM and FTIR analyses. The FESEM and TEM images revealed that the H. sabdariffa/Fe3O4‐NPs had a narrow distribution and an average particle size of 5±2 nm. Catalytic degradation studies of the synthesized Fe3O4‐NPs exhibited efficient reduction of methyl orange (MO) dye. The degradation of MO catalysed by H. sabdariffa/Fe3O4‐NPs follow the pseudo‐first order kinetics, with a rate constant of 0.0328 s−1 (R2=0.9866). Moreover, in electrochemical sensing studies, the anodic peak current of nitrite (NO2−) for H. sabdariffa/Fe3O4‐NPs/GCE showed a linear relationship with its concentration within the range of 0.5–7.5 mM, achieving a detection limit of 0.29 μM. These findings demonstrate that the modified electrode with Fe3O4‐NPs synthesized using H. sabdariffa leaf extract serve as a novel electrochemical sensor for determining NO2− with high sensitivity and reproducibility.
Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers
Authors: Panunzi Greta , Moro Stefano , Marques Isa , Martino Sara , Colloca Francesco , Ferretti Francesco , Jona Lasinio Giovanna 
Published: July 2024

AbstractConserving oceanic apex predators, such as sharks, is of utmost importance. However, scant abundance and distribution data often challenge understanding the population status of many threatened species. Occurrence records are often scarce and opportunistic, and fieldwork aimed to retrieve additional data is expensive and prone to failure. Integrating various data sources becomes crucial to developing species distribution models for informed sampling and conservation purposes. The white shark, for example, is a rare but persistent inhabitant of the Mediterranean Sea. Here, it is considered Critically Endangered by the IUCN, while population abundance, distribution patterns, and habitat use are still poorly known. This study uses available occurrence records from 1985 to 2021 from diverse sources to construct a spatial log‐Gaussian Cox process, with data‐source specific detection functions and thinning, and accounting for physical barriers. This model estimates white shark presence intensity alongside uncertainty through a Bayesian approach with Integrated Nested Laplace Approximation (INLA) and the inlabru R package. For the first time, we projected species occurrence hot spots and landscapes of relative abundance (continuous measure of animal density in space) throughout the Mediterranean Sea. This approach can be used with other rare species for which presence‐only data from different sources are available.
First Record of Malformation in Seahorses Attributed to the Oil Spill off the Brazilian Coast in 2019
Authors: Silveira Rosana B. , Santos Silva José R. , Silva Renan B. , Santos Giovanni A. P. 
Published: July 2024

Abstract
In 2019, there was an environmental catastrophe in Brazil, when more than 5000 tons of unknown origin crude oil invaded beaches and mangroves. Two years later, two monitoring areas were selected to study seahorses’ offspring: Massangana River estuary (apparently healthy area) and Cocaia Island (affected area). Thirty-six reproductive events of Hippocampus reidi (Syngnathidae) couples from these two areas were monitored to analyze the offspring. At the apparently healthy area, no newborns with malformations were found. However, the offspring from Cocaia Island showed a mean of 19.73% (±5.23) malformations in newborns. It is argued that the toxic/teratogenic effects of polycyclic aromatic hydrocarbons have affected the population in two ways: directly through the induction of mutations in the germ cells of the species and through a drastic reduction of the population (bottleneck effect) whose density observed today recovered through consanguineous couplings, potentiating deleterious genotypes in the offspring. Environ Toxicol Chem 2024;43:1996–2004. © 2024 SETAC
(A) Apparently Healthy Area-Massangana River; (B) Impacted Nursey-Cocaia Island, Ipojuca, Pernambuco, Brazil.
Human Behavior and Harvest Regulations: Challenges and Opportunities for Fisheries Managers
Authors: Bailey Paul E. , Fincel Mark J. , Kaemingk Mark A. 
Published: July 2024

Abstract
Harvest regulation is one of the primary tools that natural resource managers use to manage exploited fish and wildlife populations. Unfortunately, the desired results of harvest regulations are frequently not realized. We contend that a broader and more thorough understanding of anglers could improve the success of harvest regulations. Using a case study from an interstate U.S. fishery for Walleye Sander vitreus, we demonstrate the counterintuitive responses anglers exhibited to differing Walleye harvest regulations. Three possible reasons are explored, using theories from social–science disciplines, to explain why anglers released a greater proportion of larger Walleye under a more liberalized harvest regulation: (1) harvest regulations serving as goals for anglers, (2) resolution of cognitive dissonance provided by restrictive harvest regulations, and (3) the perceived “value” assigned to specific fish or wildlife entity by harvest regulations. We conclude by discussing how taking an interdisciplinary approach (e.g., sociology, psychology, economics) to understanding angler behavior could be an exciting frontier for fisheries management and how this approach specifically holds promise for improving the success of harvest regulations.
Antioxidant, anticancer, and anti‐inflammatory potential of Moringa seed and Moringa seed oil: A comprehensive approach
Authors: Shahbaz Muhammad , Naeem Hammad , Batool Maryam , Imran Muhammad , Hussain Muzzamal , Mujtaba Ahmed , Alsagaby Suliman A. , Al Abdulmonem Waleed , El‐Ghorab Ahmed H. , Ghoneim Mohammed M. , Shaker Mohamed E. , Abdelgawad Mohamed A. , Al Jbawi Entessar 
Published: July 2024

AbstractMoringa oleifera, a widely recognized plant more commonly known as moringa, has obtained significant research interest in recent years due to its prospective physiological advantages, including its claimed ability to counteract carcinogenesis. The moringa plant has been found to possess bioactive components that exhibit promising anticancer activities against different human cancers, such as breast cancer, prostate cancer, pancreatic cancer, etc. The cytotoxic properties of moringa seed extracts on cancerous cells have also been provided in this paper along with other notable health benefits. The extracts derived from moringa seeds inhibit cancer proliferation and promote cancer cell apoptosis through multiple signaling pathways. They also stimulated intracellular reactive oxygen species (ROS) production and subsequently induced caspase‐3 activity. The impact of moringin and avenanthramide 2f on the stimulation of caspases 2, 4, 8, and 9 results in reduction in the proliferation of cancer cells. The results reported by research studies hold significant implications for identifying and targeting specific molecular entities that could serve as potential therapeutic targets in search of effective cancer treatments. Furthermore, the flavonoids in moringa seed can remove mitochondrial reactive oxygen species, protecting beta cells and bringing hyperglycemia under control. M. oleifera seed oil can reduce the risk of cardiovascular diseases via reduced malondialdehyde (MDA) formation and modulation of cardiac superoxide dismutase (SOD) and glutathione peroxidase (GPx) activity. This article provides a comprehensive summary of the noteworthy discoveries derived from a rigorous investigation that explored into the impact of moringa seeds on the prevention/reduction of various cancers and other complex diseases.
Reliability of variability and complexity measures for task and task‐free BOLD fMRI
Authors: Wehrheim Maren H. , Faskowitz Joshua , Schubert Anna‐Lena , Fiebach Christian J. 
Published: July 2024

AbstractBrain activity continuously fluctuates over time, even if the brain is in controlled (e.g., experimentally induced) states. Recent years have seen an increasing interest in understanding the complexity of these temporal variations, for example with respect to developmental changes in brain function or between‐person differences in healthy and clinical populations. However, the psychometric reliability of brain signal variability and complexity measures—which is an important precondition for robust individual differences as well as longitudinal research—is not yet sufficiently studied. We examined reliability (split‐half correlations) and test–retest correlations for task‐free (resting‐state) BOLD fMRI as well as split‐half correlations for seven functional task data sets from the Human Connectome Project to evaluate their reliability. We observed good to excellent split‐half reliability for temporal variability measures derived from rest and task fMRI activation time series (standard deviation, mean absolute successive difference, mean squared successive difference), and moderate test–retest correlations for the same variability measures under rest conditions. Brain signal complexity estimates (several entropy and dimensionality measures) showed moderate to good reliabilities under both, rest and task activation conditions. We calculated the same measures also for time‐resolved (dynamic) functional connectivity time series and observed moderate to good reliabilities for variability measures, but poor reliabilities for complexity measures derived from functional connectivity time series. Global (i.e., mean across cortical regions) measures tended to show higher reliability than region‐specific variability or complexity estimates. Larger subcortical regions showed similar reliability as cortical regions, but small regions showed lower reliability, especially for complexity measures. Lastly, we also show that reliability scores are only minorly dependent on differences in scan length and replicate our results across different parcellation and denoising strategies. These results suggest that the variability and complexity of BOLD activation time series are robust measures well‐suited for individual differences research. Temporal variability of global functional connectivity over time provides an important novel approach to robustly quantifying the dynamics of brain function.Practitioner Points
Variability and complexity measures of BOLD activation show good split‐half reliability and moderate test–retest reliability.
Measures of variability of global functional connectivity over time can robustly quantify neural dynamics.
Length of fMRI data has only a minor effect on reliability.