bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cross-Species Surveillance of Respiratory Viruses in Domestic and Wild Mammals of an Urban Atlantic Forest from Brazil
Authors: da Silva Junior Leonardo Corrêa , Wailante Deborah Fernandes , Bueno Marina Galvao , Moura Patricia Emilia Bento , Pauvolid-Corrêa Alex , Novaes Roberto Leonan Morim , da Costa-Neto Sócrates Fraga , Veríssimo Iuri , Bertocchi Natasha Avila , Moratelli Ricardo , Gentile Rosana , Motta Fernando Couto , de Araújo Mia Ferreira , Brown David , Resende Paola Cristina , de Siqueira Marilda Agudo Mendonça Teixeira , Ogrzewalska Maria 
Published: February 2025

Abstract
Our aim was to investigate respiratory viruses circulating in animals from the urban Atlantic Forest, which is located in the most densely populated area near Rio de Janeiro in Brazil. This study focused on the detection of Influenza A viruses and diverse coronaviruses, including SARS-CoV-2, in domestic and wild animals, including bats, nonhuman primates, rodents, and marsupials. From August 2020 to September 2022, biological samples were collected from a total of 72 pets, 66 primates, 20 rodents, 36 marsupials, and 390 bats. Samples were tested using RT-PCR for Influenza A and coronaviruses, and positive samples were sequenced. When blood samples were available, they were tested for SARS-CoV-2 antibodies. All terrestrial animals were negative for evidence of infection with SARS-CoV-2 and Influenza A viruses. However, samples from 17 phyllostomid bats, including Great fruit-eating bat (Artibeus lituratus), Silky short-tailed bat (Carollia brevicauda), Seba's short-tailed bat (Carollia perspicillata), Common big-eared bat (Micronycteris microtis), Greater spear-nosed bat (Phyllostomus hastatus), White-lined broad-nosed bat (Platyrrhinus lineatus), Little yellow-shouldered bat (Sturnira lilium), Greater round-eared bat (Tonatia bidens), and Common vampire bat (Desmodus rotundus), were positive for bat coronaviruses classified as Alphacoronavirus. Our study adds new information on the occurrence of coronaviruses in bats and contributes to a long-term program of Influenza surveillance. Developing active surveillance for viruses in wildlife species, as implemented in this study, is crucial for understanding zoonotic risks and preventing future global pandemics.
Migrant labour flows and interconnected agrarian transformations in Southern China
Authors: Xu Yunan , Wang Chunyu , Ye Jingzhong , Kham Sai Sam , Ra Doi , Franco Jennifer C. , Borras Saturnino M. 
Published: February 2025

Abstract
While contemporary debates about agrarian transformations that include topics like the persistence of family farms, agrarian capital accumulation, and simple reproduction squeeze remain vibrant, discussions about the increasingly significant role of migrant wage labour, which further complicates these processes, remain limited. In this paper, we argue that the process of capitalist accumulation in some sections of the agrarian and food system sectors in southern China is able to proceed despite recurring pressures — especially labour shortages in the rural economy caused by domestic rural–urban migration — because of the availability of migrant workers from neighbouring countries such as Myanmar. This development dynamic can be better understood through the lens of interrelated connections between land and labour and production and social reproduction across China and Myanmar. We highlighted the role of two land-related labour flows in the agrarian transformation in southern China–Myanmar regions. We argue that various social classes and groups across China and Myanmar are tied to land, wage work and capital accumulation and, in turn, their productive and social reproductive tasks are directly and indirectly linked to one another. If we are to understand agrarian transformation in settings like this, then methodologically, we will have to adopt an interconnected approach in order to bring the pieces of the puzzle together.
How does Independent Component Analysis Preprocessing Affect EEG Microstates?
Authors: Artoni Fiorenzo , Michel Christoph M. 
Published: February 2025

Abstract
Over recent years, electroencephalographic (EEG) microstates have been increasingly used to investigate, at a millisecond scale, the temporal dynamics of large-scale brain networks. By studying their topography and chronological sequence, microstates research has contributed to the understanding of the brain’s functional organization at rest and its alteration in neurological or mental disorders. Artifact removal strategies, which differ from study to study, may alter microstates topographies and features, possibly reducing the generalizability and comparability of results across research groups. The aim of this work was therefore to test the reliability of the microstate extraction process and the stability of microstate features against different strategies of EEG data preprocessing with Independent Component Analysis (ICA) to remove artifacts embedded in the data. A normative resting state EEG dataset was used where subjects alternate eyes-open (EO) and eyes-closed (EC) periods. Four strategies were tested: (i) avoiding ICA preprocessing altogether, (ii) removing ocular artifacts only, (iii) removing all reliably identified physiological/non physiological artifacts, (iv) retaining only reliably identified brain ICs. Results show that skipping the removal of ocular artifacts affects the stability of microstate evaluation criteria, microstate topographies and greatly reduces the statistical power of EO/EC microstate features comparisons, however differences are not as prominent with more aggressive preprocessing. Provided a good-quality dataset is recorded, and ocular artifacts are removed, microstates topographies and features can capture brain-related physiological data and are robust to artifacts, independently of the level of preprocessing, paving the way to automatized microstate extraction pipelines.
Effect of Structural Defects Induced in LaFeO3 and LaMnO3 Catalysts towards Total Oxidation of 2-Propanol
Authors: Jessica Múnera-Jaramillo , Juan Tapia-P. , Jaime Gallego , Alexander Santamaría 
Published: February 2025

Abstract
A crucial characteristic of perovskite-like oxides is oxygen mobility, which can be enhanced by inducing structural defects through stoichiometry variations during synthesis, thereby boosting the catalytic activity. This study evaluated the effect of structural modifications of LaFeO3 (LF) and LaMnO3 (LM) perovskites series on the total oxidation of 2-propanol as a VOC model, a well-known organic solvent. These modifications were performed during synthesis by partially removing the B-site cation or by structural doping in the B-site with another cation (Mn for the LF series and Pd for the LM series). Structural characterization was carried out by XRD and Raman spectroscopy, while the bulk and surface chemical composition were assessed by ICP and XPS, respectively. On the other hand, catalytic activity was performed using a reactivity test with the 2-propanol molecule. The CO-TPR and O2-TPD measurements were used to characterize the reducibility of the active phase, and the type of oxygen species present in the sample. The catalytic activity results indicated that the modified perovskites showed a difference of 118 °C and 109 °C in the T95 parameter (Temperature at which the conversion of 2-propanol was 95%) relative to pure LF and LM perovskites, respectively. It was also observed that the inclusion of cationic species with high oxidation states enhances the catalytic properties of the materials not only for the doped perovskites but also for the impregnated ones used for comparison purposes. This research demonstrated that stoichiometric variations in modified perovskite-like catalysts significantly improve the catalytic capacity by forming structural defects and modifying redox properties.Kindly check and confirm whether the corresponding author is correctly identified.I confirm that the corresponding author is well identified

Graphical Abstract
Dietary organic acid blend modulates hemato-immunological parameters, digestive and reproductive performances in red tilapia (Oreochromis niloticus × O. mossambicus) broodstock
Authors: El-Sayed Abdel-Fattah M. , Eissa El-Sayed Hemdan , Hendam Basma M. , Dighiesh Hagar Sedeek , Abd Elnabi Heba E. , Abd El-Aziz Yasmin M. , Eissa Moaheda E. H. , Ghanem Sara F. 
Published: February 2025

Abstract
This study evaluated the effects of dietary organic acid (OA) blend on hemato-immunological responses, reproduction capacity, gene expression, and histological features of red tilapia (Oreochromis niloticus × O. mossambicus) broodstock. Four diets were formulated, containing 0 (control), 2, 3, and 4 g OAs kg−1. The diets were fed to triplicate groups (n = 3) of red tilapia broodstock (75 ± 5.56 g( (mean ± standard deviation (SD)) stocked in 10-m3 concrete tanks at a male to female ratio of 1:3, to satiation, twice a day, for 8 weeks. At the end of the feeding trial, fish in each tank were collected, counted, and weighed. Blood samples were collected from five fish from each tank and used for the determination of hematological and biochemical parameters. The fish were then dissected to study the reproductive performance and reproduction-related genes. The red blood cells (RBCs), hemoglobin (Hb), packed cell volume (PCV%), mean corpuscular volume (MCV), and lysozyme activity were significantly increased (P < 0.05) with increasing dietary OAs to 4 g kg−1. Mean corpuscular hemoglobin (MCH), white blood cells (WBCs), total protein, albumin, and globulin), and digestive enzyme activity values leveled off or slightly decreased (P > 0.05) at OA levels above 3 g kg−1. Optimum liver enzyme activity was obtained at 2 g kg−1 OA. The reproductive hormones: testosterone (T), follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), and progesterone (Prog), organo-somatic index (GSI), reproductive performance, and the expression of reproductive genes (vasa, nanos1a, nanos2, dnd1, pum1, amh, and VTG) exhibited dose-dependent responses (P < 0.05), suggesting that 4 g OA kg−1 boosted the optimum reproductive performance. In conclusion, about 2–3 g OA kg−1 diet can improve the hemato-biochemical parameters, immune response, antioxidant status, and digestive enzyme activity in red tilapia broodstock, whereas 4 g kg−1 could accelerate their reproductive performance through upregulation of reproductive genes.
Assessment of genetic diversity using phenological and morpho-physicochemical traits of almond genotypes in the Eastern Mediterranean Region of Türkiye
Authors: Bayazıt Safder , Çalışkan Oğuzhan , Yaman Mehmet 
Published: February 2025

Abstract
This study aimed to compare the genetic differences of local almond genotypes selected from Hatay province in the subtropical ecology of the Eastern Mediterranean Region of Türkiye using phenological, nut quality, and chemical compositions. Principal component analysis, cluster analysis and correlation analysis from multiple comparison analyses were used to evaluate the examined traits of the genotypes. In the study, local almond genotypes showed considerable diversity in terms of morphological, fruit quality, and biochemical properties. Full flowering dates for the genotypes were between 2 and 10 March and harvest times were between 31 July and 6 August. According to two-year data, the nut weight of the genotypes varied between 4.39 g and 6.73 g, whereas the kernel weight varied between 0.94 g and 1.22 g. ‘Bezge1’ and ‘Turfanda1’ genotypes did not have double fruits. ‘Turfanda2’ genotype was remarkable for its kernel weight being > 1 g, not having a double kernel, and containing > 50% total oil. Total fat content ranged between 47.95% and 54.47%. Interestingly, a negative correlation was found between kernel weight and kernel color L, b*, C, and hue values. PC results showed that nut and kernel size and oil profile were important variables in distinguishing almond genotypes from each other. These results demonstrate a substantial genetic diversity among almond genotypes, highlighting their potential for almond cultivation and breeding programs in the subtropical ecology of Türkiye. Moreover, the new goal will be to examine reveal the genetic differences with molecular marker methods and the performances of these genotypes under the same ecological conditions.
Developing a Neural Network Based Microwave Sensing System for Accurate Salinity Prediction in Water
Authors: Pence Muhammed Ismail , Aydinalp Cemanur , Doğu Semih , Akıncı Mehmet Nuri 
Published: February 2025

Abstract
High and low salinity levels play a crucial role in the vitality of organisms and affect natural ecosystems, agricultural yields and human health. To mitigate the risks associated with high blood pressure and cardiovascular diseases, the World Health Organization (WHO) advocates reducing salt consumption among adults, suggesting an intake of no more than 5 g daily. In this study, a non-invasive microwave (MW) sensing approach, that is augmented by deep neural network (DNN) models is proposed to predict salinity levels. The MW detection measurement system, including a Horn antenna, has been developed to evaluate the salt content in bottled spring waters (BSWs). The system with DNN model provides a novel solution for real-time water quality monitoring. The input and output dataset for DNN model were generated using four different BSWs, each with a salt content ranging from 0 to 32 g and increased by 1 g. The developed DNN model, designed with six fully connected layers, uses reflection coefficients (RCs) as input dataset to predict salt content in grams accurately. The accuracy performance of the DNN model in various bandwidths was evaluated by dividing the 1–13 GHz range into 78 different bands and the lowest error rate was found to be in the 1–8 GHz bandwidth (2.18%). Furthermore, each BSW was measured five times, and the performance of the model was evaluated according to the number of measurements. In three or more measurements, the model demonstrated notable improvement(15.3%) in predicting salt content.
Thermodynamics of (NH4)2SO4(aq) and Solubilities of (NH4)2MII(SO4)2·6H2O (M = Mg, Fe, Zn, Cu) Tutton Salts with Implications to Thermochemical Storage
Authors: Talreja-Muthreja Tanya , Steiger Michael 
Published: February 2025

Abstract
Available thermodynamic data for (NH4)2SO4(aq) have been critically evaluated and used to parameterize an extended ion interaction (Pitzer) model. The model satisfactorily represents the available activity and thermal data from below the eutectic temperature to 110 °C. At near ambient temperatures (5–40 °C) the model accurately predicts the water activities in supersaturated solutions to about 30 mol·kg–1. The model has been used to determine the solubility products of (NH4)2SO4(s) from the eutectic temperature to 110 °C. Solubilities in the ternary Tutton salt forming systems (NH4)2SO4–MgSO4–H2O, (NH4)2SO4–FeSO4–H2O, (NH4)2SO4–ZnSO4–H2O, and (NH4)2SO4–CuSO4–H2O have been used to determine the ternary interaction parameters in the Pitzer model and to calculate the solubilities and deliquescence humidities of the Tutton salts (NH4)2MIISO4·6H2O (with M = Mg, Fe, Zn, Cu). Using additional literature data of decomposition vapor pressures, the phase diagrams of the Tutton salts have been established and the suitability of the salts as thermochemical heat storage materials has been critically evaluated.
Exploring the dual role of BiVO4 nanoparticles: unveiling enhanced antimicrobial efficacy and photocatalytic performance
Authors: Bulut Duygu Takanoglu 
Published: February 2025

Abstract
This study was focused on enhancing the structural, optical, antimicrobial, and photocatalytic activities of bismuth vanadate (BiVO4) nanoparticles. The current study utilized a simple hydrothermal technique to fabricate BiVO4 nanoparticles. Several techniques, including X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Raman, Field emission scanning electron microscopy (FESEM), energy dispersive spectroscopy (EDS), and ultraviolet-visible (UV-Vis), were used to examine BiVO4. The monoclinic structure of BiVO4 was confirmed through XRD, XPS, and Raman analysis, validating its high purity and the absence of secondary phases with a size of 31 nm. The decahedral structure and purity of BiVO4 were revealed through FESEM-EDS microstructure and surface morphology examination. A band gap of 2.36 eV was exhibited by the synthesized BiVO4 nanoparticles. The conduction band minimum and valence band maximum edge potentials were found to be 2.715 eV and 0.355 eV, respectively. The antimicrobial properties of BiVO4 NPs were evaluated using the disc diffusion method on a broad spectrum of pathogens. Various bacterial and fungal pathogens showed broad-spectrum antimicrobial activity against BiVO4, indicating that BiVO4 nanoparticles (NPs) could be effective antimicrobial agents. In addition, the photocatalytic performance of BiVO4 and its degradation efficiency were investigated with Oxytetracycline (OTC), tetracycline (TC), and doxycycline (DC) antibiotics under visible light. The photocatalytic degradation results demonstrated that BiVO4 successfully degraded the antibiotic residuals. The results showed that the hydrothermally synthesized BiVO4 nanoparticles have great potential for use in biological and environmental applications.

Graphical Abstract
Stability analysis of chaotic systems in latent spaces
Authors: Özalp Elise , Magri Luca 
Published: February 2025

Abstract
Partial differential equations, and their chaotic solutions, are pervasive in the modelling of complex systems in engineering, science, and beyond. Data-driven methods can find solutions to partial differential equations with a divide-and-conquer strategy: The solution is sought in a latent space, on which the temporal dynamics are inferred (“latent-space” approach). This is achieved by, first, compressing the data with an autoencoder, and, second, inferring the temporal dynamics with recurrent neural networks. The overarching goal of this paper is to show that a latent-space approach can not only infer the solution of a chaotic partial differential equation, but it can also predict the stability properties of the physical system. First, we employ the convolutional autoencoder echo state network (CAE-ESN) on the chaotic Kuramoto-Sivashinsky equation for various chaotic regimes. We show that the CAE-ESN (i) finds a low-dimensional latent-space representation of the observations and (ii) accurately infers the Lyapunov exponents and covariant Lyapunov vectors (CLVs) in this low-dimensional manifold for different attractors. Second, we extend the CAE-ESN to a turbulent flow, comparing the Lyapunov spectrum to estimates obtained from Jacobian-free methods. A latent-space approach based on the CAE-ESN effectively produces a latent space that preserves the key properties of the chaotic system, such as Lyapunov exponents and CLVs, thus retaining the geometric structure of the attractor. The latent-space approach based on the CAE-ESN is a reduced-order model that accurately predicts the dynamics of the chaotic system, or, alternatively, it can be used to infer stability properties of chaotic systems from data.
Silver Gelled Chitosan Films: Preparation, Inclusion of Sunflower Seed Oil, and Application in Bread Packaging
Authors: Wahba Marwa I. , Awad Ghada E. A. , Elnashar Magdy M. 
Published: February 2025

Abstract
Silver gelled chitosan (CS-Ag) films with improved mechanical traits were prepared via a simple technique, which comprised freezing the CS solution, and then pouring the AgNO3 solution onto it. This resulted in the creation of uniform and mechanically stable CS-Ag films due to the slow diffusion of AgNO3 into the frozen solid CS. The films were characterized via scan electron microscopy (SEM) and energy-dispersive X-ray (EDX). Their antimicrobial and mechanical traits were inspected. The tensile strength (TS) of the 1.5% (w/w) AgNO3 processed CS-Ag films reached 22.42 ± 0.89 MPa and its elongation at break was 33.01 ± 2.67%. The water vapor transmission rate (WVTR) of this film was also inspected and it was 167.77 g/m2day. This value was reduced to 146.95 and 120.68 g/m2day, after the inclusion of sunflower seed oil (SFO) within the CS-Ag films at 5% and 8% (w/w), respectively, and this reflected the increased water resistance of the SFO-CS-Ag films. The inclusion of SFO at concentration ≥ 5% (w/w) also increased the films antimicrobial traits when Aspergillus and Rhizopus species were inspected. On the other hand, the TS of the SFO-CS-Ag films was reduced to 15.13 ± 1.61 MPa and 10.17 ± 0.77 MPa for the 5% and 8% SFO, respectively. Nonetheless, these values were still within 8.3–31.4 MPa TS range of the frequently utilized packaging material; low-density polyethylene. Thus, the 5% and 8% (w/w) SFO-CS-Ag films were utilized to package white bread. The 8% (w/w) SFO-CS-Ag film efficiently preserved bread as no fungal growth observed for 10 storage days.
Power by Proxy: Participation as a Resource in Global Governance
Authors: Arias Sabrina B. , Clark Richard , Kaya Ayse 
Published: February 2025

Abstract
Member state participation is essential in global governance, affording international organizations (IOs) legitimacy and translating member state preferences into institutional attention. We contend that institutional leadership positions bolster states’ authority via “proxy representation,” in which states are grouped together and indirectly represented by one leader. We argue that by serving as proxy group leaders, even relatively weak states can obtain greater influence in IOs. We examine these expectations in the context of the IMF’s Executive Board, where wealthy states represent themselves directly while other states belong to multi-member constituencies in which leadership often rotates among members. Focusing on issues related to climate change discussions at the IMF—a key concern for Global South countries and an increasingly important issue in international finance—we examine the extent to which countries’ preferences over climate issues are expressed at IMF Board meetings. Using textual data based on 52,551 internal IMF documents from 1987-2017, we find evidence to support our theoretical expectations; states more effectively advance their preferences when they are proxy leaders — this finding holds robustly even for otherwise weak states. These results suggest that even in IOs with highly asymmetric decision-making, weaker states can gain voice through proxy representation. This has important and positive implications for IO legitimacy, as member state participation is integral to the livelihood of these institutions.