bluuebunny/crossref_metadata_2025_split huggingface dataset:
Qualitative immunoassay for the determination of tetracycline antibiotic residues in milk samples followed by a quantitative improved HPLC-DAD method
Authors: Alnassrallah Moneera N. , Alzoman Nourah Z. , Almomen Aliyah 
Published: August 2022

AbstractEnvironmental contaminant is one of several problems harming people and wildlife. An example of current emerging contaminants are antibiotics residues that can present in water and food. Although antibiotics are intended to treat or prevent human and animal infections, antibiotics have also been used as animal food supplements for their ability to promote growth and feed efficiency. This overuse of antibacterial has resulted in the accumulation of antibiotics residues in food products which are eventually consumed by human. The continuous unnecessary exposure of human to antibiotics through the direct animals meet or milk, or indirectly through plants or soil can increase the chance of the emergence of multi drug resistance bacteria and consequently adversely affecting human health. New regulations have been imposed regarding antibiotics utilization. Due to the scarce of data regarding antibiotics residue conditions in different types of food intended for human consumption in Saudi Arabia, this study proposed an optimized chromatographic method (HPLC-DAD) followed by an immunoassay approach for specifically detecting tetracyclines antibiotics in animal milk samples. The method was carried out using an RP-C18 column with a mobile phase consisting of 0.01 M KH2PO4: acetonitrile:methanol (70:20:10, v/v/v) adjusted to pH 4. Improvements were observed in the method in terms of resolution and sensitivity. The protein precipitation method used for extraction demonstrated high percent recoveries of 85–101%. The method was validated according to the guidelines of the International Conference for Harmonization (ICH). It is evidently clear from these findings that the presence of tetracycline and oxytetracycline antibiotics residues in milk products from the Saudi market are below the maximum residual limits (MRLs).
Apolipoprotein C3 and necrotic core volume are correlated but also associated with future cardiovascular events
Authors: Ohwada Takayuki , Sakamoto Takayuki , Suzuki Satoshi , Sugawara Yukiko , Sakamoto Kazuya , Ikeda Ayano , Haga Fumika , Sato Tomoki , Nakazato Kazuhiko , Takeishi Yasuchika , Watanabe Kenichi 
Published: August 2022

AbstractWe aimed to clarify the relationship between apolipoprotein C3 (apo-C3) and the vascular composition of lesion plaque in stable coronary disease (SCD) before percutaneous coronary intervention (PCI), and to investigate major adverse cardiovascular events (MACEs) within 4 years. Data of 98 consecutive patients with SCD who underwent PCI between November 1, 2012, and March 10, 2015, were analyzed. Laboratory and virtual histology-intravascular ultrasound (VH-IVUS) examinations of culprit lesions were conducted before PCI. Patients were divided according to median apo-C3 into low apo-C3 (≤ 8.5 mg/dL) and high apo-C3 (> 8.5 mg/dL) groups. VH-IVUS data indicated that the percentage of necrotic core volume (%NC) was significantly higher in the high apo-C3 group than in the low apo-C3 group. Moreover, the %NC significantly correlated with the apo-C3 level (R = 0.2109, P = 0.037). Kaplan–Meier curve analysis revealed that freedom from MACEs exhibited a greater decrease in the high apo-C3 group than in the low apo-C3 group, and in the high %NC group than in the low %NC group. Multivariate Cox hazards analysis showed that the %NC and high apo-C3 were independent predictors of 4 year MACEs. Apo-C3 may be a useful marker of future MACEs in patients with SCD after PCI and contribute to %NC growth.
Spatial release from masking in crocodilians
Authors: Thévenet Julie , Papet Léo , Campos Zilca , Greenfield Michael , Boyer Nicolas , Grimault Nicolas , Mathevon Nicolas 
Published: August 2022

AbstractAmbient noise is a major constraint on acoustic communication in both animals and humans. One mechanism to overcome this problem isSpatial Release from Masking(SRM), the ability to distinguish a target sound signal from masking noise when both sources are spatially separated. SRM is well described in humans but has been poorly explored in animals. Although laboratory tests with trained individuals have suggested that SRM may be a widespread ability in vertebrates, it may play a limited role in natural environments. Here we combine field experiments with investigations in captivity to test whether crocodilians experience SRM. We show that 2 species of crocodilians are able to use SRM in their natural habitat and that it quickly becomes effective for small angles between the target signal source and the noise source, becoming maximal when the angle exceeds 15∘. Crocodiles can therefore take advantage of SRM to improve sound scene analysis and the detection of biologically relevant signals.
Developmental depression-to-facilitation shift controls excitation-inhibition balance
Authors: Jia David W. , Vogels Tim P. , Costa Rui Ponte 
Published: August 2022

AbstractChanges in the short-term dynamics of excitatory synapses over development have been observed throughout cortex, but their purpose and consequences remain unclear. Here, we propose that developmental changes in synaptic dynamics buffer the effect of slow inhibitory long-term plasticity, allowing for continuously stable neural activity. Using computational modeling we demonstrate that early in development excitatory short-term depression quickly stabilises neural activity, even in the face of strong, unbalanced excitation. We introduce a model of the commonly observed developmental shift from depression to facilitation and show that neural activity remains stable throughout development, while inhibitory synaptic plasticity slowly balances excitation, consistent with experimental observations. Our model predicts changes in the input responses from phasic to phasic-and-tonic and more precise spike timings. We also observe a gradual emergence of short-lasting memory traces governed by short-term plasticity development. We conclude that the developmental depression-to-facilitation shift may control excitation-inhibition balance throughout development with important functional consequences.
Analyzing cell-type-specific dynamics of metabolism in kidney repair
Authors: Wang Gangqi , Heijs Bram , Kostidis Sarantos , Mahfouz Ahmed , Rietjens Rosalie G. J. , Bijkerk Roel , Koudijs Angela , van der Pluijm Loïs A. K. , van den Berg Cathelijne W. , Dumas Sébastien J. , Carmeliet Peter , Giera Martin , van den Berg Bernard M. , Rabelink Ton J. 
Published: August 2022

AbstractA common drawback of metabolic analyses of complex biological samples is the inability to consider cell-to-cell heterogeneity in the context of an organ or tissue. To overcome this limitation, we present an advanced high-spatial-resolution metabolomics approach using matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) combined with isotope tracing. This method allows mapping of cell-type-specific dynamic changes in central carbon metabolism in the context of a complex heterogeneous tissue architecture, such as the kidney. Combined with multiplexed immunofluorescence staining, this method can detect metabolic changes and nutrient partitioning in targeted cell types, as demonstrated in a bilateral renal ischemia–reperfusion injury (bIRI) experimental model. Our approach enables us to identify region-specific metabolic perturbations associated with the lesion and throughout recovery, including unexpected metabolic anomalies in cells with an apparently normal phenotype in the recovery phase. These findings may be relevant to an understanding of the homeostatic capacity of the kidney microenvironment. In sum, this method allows us to achieve resolution at the single-cell level in situ and hence to interpret cell-type-specific metabolic dynamics in the context of structure and metabolism of neighboring cells.
Disentangling the electronic structure of an adsorbed graphene nanoring by scanning tunneling microscopy
Authors: Martinez-Castro Jose , Bolat Rustem , Fan Qitang , Werner Simon , Arefi Hadi H. , Esat Taner , Sundermeyer Jörg , Wagner Christian , Michael Gottfried J. , Temirov Ruslan , Ternes Markus , Stefan Tautz F. 
Published: August 2022

AbstractGraphene nanorings are promising model structures to realize persistent ring currents and Aharonov–Bohm effect at the single molecular level. To investigate such intriguing effects, precise molecular characterization is crucial. Here, we combine low-temperature scanning tunneling imaging and spectroscopy with CO functionalized tips and algorithmic data analysis to investigate the electronic structure of the molecular cycloarene C108 (graphene nanoring) adsorbed on a Au(111) surface. We demonstrate that CO functionalized tips enhance the visibility of molecular resonances, both in differential conductance spectra and in real-space topographic images. Comparing our experimental data with ab-initio density functional theory reveals a remarkably precise agreement of the molecular orbitals and enables us to disentangle close-lying molecular states only separated by 50 meV at an energy of 2 eV below the Fermi level. We propose this combination of techniques as a promising new route for a precise electronic characterization of complex molecules and other physical properties which have electronic resonances in the tip-sample junction.
Entamoeba histolytica HM-1: IMSS gene expression profiling identifies key hub genes, potential biomarkers, and pathways in Amoebiasis infection: a systematic network meta-analysis
Authors: Verma Ram Nayan , Malik Md. Zubbair , Subbarao Naidu , Singh Gajendra Pratap , Sinha Durgesh Nandini 
Published: August 2022

AbstractEntamoeba histolytica (E. histolytica) is an anaerobic parasite that causes Amoebiasis in the intestine or extraintestinal, with immunology, genetics, and environmental variables all playing a part in the disease’s development, but its molecular mechanism is unknown. One of the primary obstacles in understanding the etiology of Amoebiasis will be identifying the genetics profiling that controls the Amoebiasis network. By examining the gene expression profile of Amoebiasis and comparing it with healthy controls, we could identify differentially expressed genes (DEGs). DEGs were used to build the Amoebiasis protein interaction network and calculated its network topological properties. We discovered nine key hub genes (KHGs): JUN, PTGS2, FCGR3A, MNDA, CYBB, EGR1, CCL2, TLR8, and LRRK2 genes. The genes JUN and EGR1 were transcriptional factors (TFs) and up-regulated, others down-regulated. hsa-miR-155-5p, hsa-miR-101-3p, hsa-miR-124-3p, hsa-miR-26b-5p, and hsa-miR-16-5p are also among the essential miRNAs that have been demonstrated to be targeted by KHGs. These KHGs were primarily enriched in the IL-17 signaling pathway, TNF signaling pathway, NOD-like receptor signaling pathway, and Toll-like receptor signaling pathway. miRNAs were grouped in various pathways, focusing on the TGF-β signaling pathway, human immunodeficiency virus 1 infection, insulin signaling pathway, signaling pathways regulating pluripotency of stem cells, etc. Amoebiasis KHGs (JUN, PTGS2, CCL2, and MNDA) and their associated miRNAs are the primary targets for therapeutic methods and possible biomarkers. Furthermore, we identified drugs for genes JUN, PTGS2, FCGR3A, CCL2, and LRRK2. KHGs, on the other hand, required experimental validation to prove their efficacy.
Smartization filter of L1$\mathcal {L}_{1}$ adaptive controller using ANFIS system optimized with genetic algorithm
Authors: Kamrani Vahid , Ahmadian Hossein , Fakhrian Atena , Davari Afsane 
Published: August 2022

Abstract adaptive controller is known for ensuring fast adaption with the optimal transient performance for input and output signals using a low‐pass filter with adjustable gain in the feedback loop. During choosing a filter gain, the main criteria are the compromising of performance, strict and fast adaptation. There are several methods with different complexities for determining bounds or initial values of filter gain, such values may require utilizing many iterations of trial and error implemented in the controller. In these methods, the specified gain is kept constant, which leads to non‐optimal performance in adaptation speed and robustness. In this paper, a new approach based on an adaptive‐neural‐fuzzy inference system (ANFIS) optimized with a Genetic algorithm is presented to continuously determine this gain and optimal performance according to the error rate. The objective function optimized by the Genetic algorithm is also determined in terms of position tracking error, speed, and control signal. To evaluate the performance, the proposed method is implemented on a nonlinear feedback system in the presence of unmatched uncertainties. The simulation results show that the controller performance improves more than the constant filter efficiency in this method.
Intelligent model prediction of fluctuant increase of maximum electric field in XLPE insulation using long short‐term memory network algorithm
Authors: Wang Weiwang , Lv Jiaju , Feng Yong , Li Xinyuan , Li Shengtao 
Published: August 2022

AbstractThe electric field distortion due to space charge accumulations plays a significant role in the ageing, degradation and breakdown in failure of HVDC power cables. Currently, limited experimental results of the electric field dominated by space charges are insufficient to diagnose the power cables. This paper proposes an improved long short‐term memory network (LSTM) model for predicting the fluctuating maximum electric field (Emax) in cross‐linked polyethylene (XLPE) cable insulation. The various Emax data derived from the complex space charge behaviours were measured using the pulsed electroacoustic method. The model uses regularisation and dropout feedback in the LSTM unit, reducing the phenomenon of over‐fitting due to the limited data. It enhances the prediction accuracy and ability of long time prediction by improving the prediction of Emax with the non‐linear fluctuation. The predicted Emax approaches 190 kV/mm under 150 kV/mm and 60°C after 2 h. The predicted large variation in Emax under 120 kV/mm and 20°C after 4 h ranges from 130 to 160 kV/mm. It indicates high electric stress in the cable insulation during continuous operation. The proposed LSTM model is of great importance to guide the diagnosis of cable degradation in HVDC power cables.
A synthetic population of Wolf-Rayet stars in the LMC based on detailed single and binary star evolution models
Authors: Pauli D. , Langer N. , Aguilera-Dena D. R. , Wang C. , Marchant P. 
Published: August 2022

Context. Without a doubt, mass transfer in close binary systems contributes to the populations ofWolf-Rayet (WR) stars in the MilkyWay and the Magellanic Clouds. However, the binary formation channel is so far not well explored.
Aims. We want to remedy this by exploring large grids of detailed binary and single star evolution models computed with the publicly available MESA code, for a metallicity appropriate for the Large Magellanic Cloud (LMC).
Methods. The binary models were calculated through Roche-lobe overflow and mass transfer, until the initially more massive star exhausted helium in its core. We distinguish models of WR and helium stars based on the estimated stellar wind optical depth. We used these models to build a synthetic WR population, assuming constant star formation.
Results. Our models can reproduce the WR population of the LMC to significant detail, including the number and luminosity functions of the main WR subtypes. We find that for binary fractions of 100% (50%), all LMC WR stars below 106 L⊙ (105.7 L⊙) are stripped binary mass donors. We also identify several insightful mismatches. With a single star fraction of 50%, our models produce too many yellow supergiants, calling either for a larger initial binary fraction, or for enhanced mass loss near the Humphreys-Davidson limit. Our models predict more long-period WR binaries than observed, arguably due to an observational bias toward short periods. Our models also underpredict the shortest-period WR binaries, which may have implications for understanding the progenitors of double black hole mergers.
Conclusions. The fraction of binary-produced WR stars may be larger than often assumed and outline the risk to miscalibrate stellar physics when only single star models are used to reproduce the observed WR stars.
Management of the image of the city in urban planning: experimental methodologies in the colour plan of the Egadi Islands
Authors: Badami Angela Alessandra 
Published: August 2022

AbstractThe debate over the value of the image of a city, which since the 1960s has been gaining wider room for reflection, has arisen as a criticism against the reductionism of the Modern Movement and highlighted the value of the qualitative aspects of an urban landscape. The question asked is if urban planning can in some way govern the image of a city. An investigation into which tools and strategies are necessary to defend the narrative of a city, its identity and its genius loci against the homologating forces that are transforming contemporary cities. The article explores the theoretical principles and methods being experimentally used to qualitatively manage the urban environment. Research investigates the innovative experimentation being carried out in Italy that has brought about the compiling of colour plans, and questions what their characteristics should be, so as to be effective in the management of the quality of an urban image. In order to focalise these crucial aspects, the case of the colour plan for the Egadi Islands is presented, illustrating the methods elaborated for the individualisation of the characteristics connoting its local urban landscape and the strategies adopted to cope with the risks to which they are exposed.
Structured output methods and environmental issues: perspectives on co-created bottom-up and ‘sideways’ science
Authors: Taylor Richard , Forrester John , Pedoth Lydia , Zeitlyn David 
Published: August 2022

AbstractParticipatory methods for researching human–environmental interactions seek detailed inputs on all manner of issues, but the outputs are often only understandable to the technically literate. On the other hand, participatory methods that involve the co-design of structured outputs (maps, models, games, stories, etc.) can be used to represent and integrate the knowledge and views of participants authentically and can be interpretable to both ‘scientist’ and ‘non-scientist’ alike, thereby creating ‘sideways’ rather than top-down or bottom-up perspectives. This paper is both a methodological paper and a treatise that looks at some of the theory underpinning such approaches, drawing on the theory of citizen or ‘bottom-up’ stakeholder engagement in science but also co-created engagement, emphasising the learning and trust-building benefits of this ‘sideways’ engagement. It describes how some established and novel methods (participatory agent-based modelling; co-constructing computer games; and participatory social network mapping), can be used to engage stakeholders in iterative, constructivist communication, allowing researchers and stakeholders to co-create a structured ‘reality’ separate from the reality it represents. We discuss how such approaches support and contribute to scientific outputs that better represent participants’ reality. Our findings show that, when applied to ecosystem services, agricultural adaptation and disaster risk management, such representations provide communication opportunities and spaces for reflection and constructivist learning. The structured outputs allow stakeholders—both participant and researcher—to ‘mirror’ their human-environmental system to collaboratively think about gaps and problems in understanding.
How can One Health contribute to pandemic prevention? Looking at Ebola through a One Health lens
Authors: Maudling Rebecca 
Published: August 2022

Abstract
One Health has been gaining acceptance as an approach to addressing complex health challenges. Due to the multifactorial nature of disease emergence, pandemic prevention efforts benefit from a transdisciplinary approach to identifying risk factors, effective mitigation strategies and control points, hence making One Health attractive. When considering a zoonotic disease with pandemic potential, such as Ebola Virus Disease (EVD), gaining an understanding of the factors that can contribute to an increased risk of disease spillover occurring allows for early intervention, decreasing the risk of initial transmission from animal to human. However, despite the advantages that the One Health approach offers, there remain challenges to adopting and operationalising it effectively, including barriers of status, bias and power between professions and the effective integration of environmental health and social science expertise.

One Health Impact Statement

The SARS-CoV-2 pandemic has brought into sharp focus the interrelated nature of human, animal and environmental health. There is renewed focus on the importance of pandemic prevention efforts and an acknowledgement that human health cannot be viewed in isolation. By drawing on a wide variety of professional disciplines and embracing traditional and indigenous knowledge regarding diseases and social determinants of health, a much richer understanding of potential intervention points can be generated. Additionally, a deeper understanding can be gained concerning actions with the greatest potential to prevent the emergence and establishment of diseases with pandemic potential within a human population. This
desk study
highlights that there is value in harnessing the transdisciplinary One Health approach to increase knowledge regarding the currently poorly understood risk factors for Ebola Virus Disease (EBV) spilling over from animals to humans. It also highlights some of the challenges to effective implementation of the approach.
The colors of biotechnology in Ecuador: A general overview
Authors: Freire Diego Garzón , Fernández-Gómez Rodolfo , Reyes-Salinas Andrés , Castro Gabriela Miño , Dorca-Fornell Carmen , Proaño Karina 
Published: August 2022

Abstract
Biotechnology is the manipulation of living organisms, systems, and processes for the benefit of society, the environment, and industry. Due to the expansion of the area of biotechnology in the last years, a code of colors or rainbow has been developed to organize the wide range of scientific applications. The three most important areas of biotechnology are green, involved in the agricultural sector; red, involved in life and health science processes; and blue, which is biotechnology related to applications in marine and aquatic environments. This work aims to study the track of biotechnology production in Ecuador over a 15-year period. To that goal, a systematic and exhaustive procedure was used to obtain, classify, and analyze a dataset and information related to the biotechnology scientific production to draw the state-of-art biotechnology in Ecuador. Our results set Ecuador as the main green and red biotechnology producer among the countries belonging to the Andean Community of Nations (CAN). This study highlights the increasing tendency in green and red biotechnology production, which ensures an increasing economic impact within the country. Furthermore, it shows how this activity has developed research network collaboration among Ecuadorian universities, research and development centers, and overseas institutions in countries such as Spain and the United States. This unique work outlines the general biotech production in Ecuador over 15 years, in both private and public centers, and promotes the importance of funding and investment in the area.