bluuebunny/crossref_metadata_2025_split huggingface dataset:
Best practices in the use and exchange of microorganism biological control genetic resources
Authors: Mason Peter G. , Hill Martin , Smith David , Silvestri Luciana C. , Weyl Philip , Brodeur Jacques , Diniz Vitorino Marcello 
Published: April 2023

AbstractThe Nagoya Protocol actions the third objective of the Convention on Biological Diversity and provides a framework to effectively implement the fair and equitable sharing of benefits arising out of the use of genetic resources. This includes microorganisms used as biological control agents. Thus biological control practitioners must comply with access and benefit-sharing regulations that are implemented by countries providing microbial biological control agents. A review of best practices and guidance for the use and exchange of microorganisms used for biological control has been prepared by the IOBC Global Commission on Biological Control and Access and Benefit-Sharing to demonstrate commitment to comply with access and benefit-sharing requirements, and to reassure the international community that biological control is a very successful and environmentally safe pest management strategy that uses biological resources responsibly and sustainably. We propose that best practices include the following elements: collaboration to facilitate information exchange about the availability of microbial biological control agents and where they may be sourced; freely sharing available knowledge in databases about successes and failures; collaborative research with provider countries to develop capacity; and production technology transfer to provide economic opportunities. We recommend the use of model concept agreements for accessing microorganisms for scientific research and non-commercial release into nature where access and benefit-sharing regulations exist and where regulations are not restrictive or do not exist. We also recommend a model agreement for deposition of microbial biological control agents into culture collections.
Significant northern range extension of the non-native batillariid Zeacumantus subcarinatus in Australia, with observations of new habitat usage
Authors: Mesaglio Thomas , Travaglini Ben 
Published: April 2023

AbstractThe New Zealand batillariid gastropodZeacumantus subcarinatushas been recorded as an invasive species in Australia since at least 1924, with populations established in rocky shore habitats at multiple locations in Greater Sydney. We observed a large population (10,000+ individuals) ofZ. subcarinatusat an estuarine tidal mudflat on the New South Wales mid-north coast, representing a ~ 250 km northern range extension, and the first known record of this species in a sheltered, muddy habitat in Australia. We discuss the possible establishment means of this new population.
On a handshake: business-to-business trust in the biosecurity behaviours of the UK live plant trade
Authors: Pollard Chris R. J. , Marzano Mariella 
Published: April 2023

AbstractThe movement of plants through the ornamental plant trade presents a major source of risk for the introduction and spread of plant pests and pathogens. To minimise the likelihood of infested or infected plants moving through the value chain, individual businesses can adopt a range of biosecurity practices to prevent introduction on site, as well as detecting and then containing or eradicating any plant pests or pathogens present. However, a major additional source of risk is the arrival of unhealthy plants sourced from a supplier. Using the example of bacterial plant pathogen Xylella fastidiosa which has a large host range and potentially devastating economic and environmental impacts, we highlight the importance of trust when businesses navigate the risks of sourcing plants. Through interviews and a survey with a range of plant businesses, we show (i) how two general types of risk—relational risk associated with suppliers acting in good faith, and performance risk associated with suppliers having the ability to perform as expected—can be applied to the challenge of sourcing healthy plants, (ii) how businesses respond to these risks through behaviours based on trust and control, and (iii) the potential outcomes of trust-based and control-based behaviours in the presence of a hard to detect pathogen such as Xylella fastidiosa. We conclude that trust is a significant component in decision-making in the live plant trade, and as such any behavioural interventions designed to encourage better biosecurity practices in the industry should capitalise on this understanding to strengthen responses and avoid undermining of effort.
Experimental investigation of microscale mechanisms during compressive loading of paperboard
Authors: Johansson Sara , Engqvist Jonas , Tryding Johan , Hall Stephen A. 
Published: April 2023

AbstractCompression of paperboard is a common procedure during industrial package forming and better knowledge of the material response is needed to avoid defective packages and waste. To go beyond current modelling approaches, experimental identification of mechanisms underlying the macroscopic stress–strain responses is needed. In this study, in-situ uniaxial compression of paperboard is studied through synchrotron tomography at high spatiotemporal resolutions. Both the microstructural evolution of the fibre network and the actual boundary conditions of the loading were quantified and analysed. At the microscale, the loading equipment plates were not perfectly flat resulting in an increasing sample-equipment contact area with loading. This is, however, shown to only have a small effect on the form of the macroscopic stress–strain curves. The evolution of 3D strain fields showed that strain accumulated close to the sample surfaces in the early part of the compression process, whereafter the main deformation zone shifted to the out-of-plane centre. Both fibre walls and pore volumes were observed to decrease during loading (and recover partly after unloading). Regarding the pore volume, the main reduction mechanism was seen to be closure of layers between fibres. Even if the total pore volume reduction was seen to be the dominant deformation mechanism in a second stage of compression, the volumetric change of fibre walls was non-negligible. Fibre wall compression is not commonly considered in theoretical treatments of paperboard compression, but this work suggests that the stored elastic energy could be a driver for the elastic recovery of the fibre network during unloading.
Effects of seining effort on estimates of fish diversity in a sand-bed river
Authors: Archdeacon Thomas P. , Gonzales Eric J. , Reale Justin K. , Henry Eileen B. , Grant Joshua D. 
Published: April 2023

Abstract
Changes in species diversity can be an indicator of ecosystem disturbance, impairment, or recovery. Estimating sampling effort needed to adequately represent stream fish assemblages is necessary for informing conservation actions. Increased sampling intensity can increase species detection, affecting the accuracy and precision of biodiversity indices. Seining is commonly used in fish surveys in sand-bottomed streams of the western USA. Here, we sampled 20, 200-m long stream sites each with 40 consecutive seine hauls to determine how increased within-site effort affected measures of species diversity. An average of 10 seine hauls were required to collect 75% of species present at sites in 40 seine hauls, while 18 seine hauls were required to collect 100% of species observed at a site sampled with 40 hauls. Simpson’s diversity index was highly variable when fewer than 7 seine hauls were performed at each site but stabilized when effort was > 15 seine hauls per site. Total dissimilarity and β-diversity components were variable under low sampling effort and also stabilized when effort reached 15 seine hauls per site. However, sampling with more than 18–20 seine hauls per site yielded few additional species. In shallow, sand-bed streams, we suggest sampling with < 5 seine hauls per 200 m of stream can result in unreliable estimates of α-diversity and variation in β-diversity. Increased effort of 15–20 seine hauls per 200 m of stream captured nearly all species present in 40 hauls per 200 m and stabilized species evenness and β-diversity indices.
Association of Relative Telomere Length and LINE-1 Methylation with Autism but not with Severity
Authors: Salem Sohair , Ashaat Engy 
Published: April 2023

AbstractAutism is associated with genomic instability, which is regulated by telomere length (TL) and index of global methylation (LINE-1). This study will determine relative TL (RTL) and LINE-1 methylation percentage for 69 patients and 33 control subjects to evaluate their potential role as biomarkers for autism. The results displayed a significant decrease of both RTL and LINE-1 methylation in autistic cases relative to controls (P < 0.001). Analysis of receiver operating characteristics curve revealed that both of RTL and LINE-1 methylation percentage have the ability to serve as autism biomarkers (area under the curve = 0.817 and 0.889, respectively). The statistical analysis revealed positive correlation between the two biomarkers (correlation coefficient = 0.439 and P < 0.001).
How to Age More Positively? Analyzing Determinants that Shape Attitudes Towards Aging
Authors: Manzi Claudia , Adorni Roberta , Giannella Valeria Amata , Steca Patrizia 
Published: April 2023

AbstractA considerable amount of research has illustrated that negative attitudes toward one’s own aging can directly hinder mental and physical well-being or lead to maladjustment in later stages of life (Swift et al. in Social Issues Policy Rev 11(1):195–231, https://doi.org/10.1111/sipr.12031, 2017). Research so far has focused on the analysis of individual factors related to attitudes toward aging, often related to personality traits. Our study proposes and tests a model of positive contact with aging (PCA). It analyses both individual and social antecedents of attitudes towards one’s own aging, hypothesizing that individual health self-efficacy directly affects attitudes towards one’s own aging and that the quality and quantity of contact with older adults indirectly impacts on attitudes towards one’s own aging through attitudes towards older adults. The model was tested in a wide sample of the Italian population (N = 753) with a varied age range. The PCA model tested showed excellent fit to the data, explaining a moderate amount of variance in attitudes toward one’s own aging (12%). This model promises to offer implications for active policies that can improve attitudes towards one’s own aging, promoting educational strategies to increase intergenerational exchanges and foster health-related self-efficacy.
A single-beat algorithm to discriminate farfield from nearfield bipolar voltage electrograms from the pulmonary veins
Authors: Schlageter Vincent , Badertscher Patrick , Luca Adrian , Krisai Philipp , Spies Florian , Kueffer Thomas , Osswald Stefan , Vesin Jean-Marc , Kühne Michael , Sticherling Christian , Knecht Sven 
Published: April 2023

Abstract
Background
Superimposition of farfield (FF) and nearfield (NF) bipolar voltage electrograms (BVE) complicates the confirmation of pulmonary vein (PV) isolation after catheter ablation of atrial fibrillation. Our aim was to develop an automatic algorithm based on a single-beat analysis to discriminate PV NF from atrial FF BVE from a circular mapping catheter during the cryoballoon PV isolation.

Methods
During freezing cycles in cryoablation PVI, local NF and distant FF signals were recorded, identified and labelled. BVEs were classified using four different machine learning algorithms based on four frequency domain (high-frequency power (PHF), low-frequency power (PLF), relative high power band, PHF ratio of neighbouring electrodes) and two time domain features (amplitude (Vmax), slew rate). The algorithm-based classification was compared to the true identification gained during the PVI and to a classification by cardiac electrophysiologists.

Results
We included 335 BVEs from 57 consecutive patients. Using a single feature, PHF with a cut-off at 150 Hz showed the best overall accuracy for classification (79.4%). By combining PHF with Vmax, overall accuracy was improved to 82.7% with a specificity of 89% and a sensitivity of 77%. The overall accuracy was highest for the right inferior PV (96.6%) and lowest for the left superior PV (76.9%). The algorithm showed comparable accuracy to the classification by the EP specialists.

Conclusions
An automated farfield-nearfield discrimination based on two simple features from a single-beat BVE is feasible with a high specificity and comparable accuracy to the assessment by experienced cardiac electrophysiologists.

Graphical Abstract
Providing Continuity in Infant Mental Health Services for Medically Fragile Infants and Their Families
Authors: Lakatos Patricia P. , Rodas Naomi V. , Matic Tamara , Williams Marian E. , Samora Laura L. , Carson Melissa C. 
Published: April 2023

AbstractHaving a baby who is prenatally or postnatally diagnosed with a medical condition places considerable stress on the parents, infants, and their developing relationship. Infant mental health (IMH) services offer an opportunity to address the challenges and support the parent-infant relationship. The present study outlined a continuum of care IMH program embedded within various medical settings of a large metropolitan children’s hospital. Applications of IMH principles within the fetal care center, neonatal intensive care unit, high risk infant follow-up clinic, and the patient’s home are described. Descriptive data about families served across settings and a case study are provided in order to illustrate the implementation of this unique IMH intervention model.
Estimation of Two Diuretics Using Fluorescent Nitrogen Doped Carbon Quantum Dots: Application to Spiked Human Plasma and Tablets
Authors: Abo Zaid Mona H. , El-Enany Nahed , Mostafa Aziza E. , Hadad Ghada M. , Belal Fathalla 
Published: April 2023

AbstractHighly fluorescent nitrogen doped carbon quantum dots (N-CQDs) were prepared by a single-step method based on microwave heating of cane sugar and urea. The produced N-CQDs were applied as nano-sensors for the spectrofluorimetric determination of eplerenone and spironolactone. A strong emission band at 376 nm was obtained after excitation at 216 nm due to the produced N-CQDs. The native fluorescence of N-CQDs was obviously quenched upon adding increased concentrations of each drug. A strong correlation was found between the fluorescence quenching of N-CQDs and the concentration of each drug. The method was found to be linear over the range of 0.5 to 5.0 μg/mL for eplerenone and 0.5 to 6.0 μg/mL for spironolactone with LOQ of 0.383 μg/mL and 0.262 μg/mL. The developed method was further extended for determination of both drugs in their pharmaceutical tablets and spiked human plasma. The results obtained were statistically compared with those of reported methods. The mechanism of fluorescence quenching of N-CQDs by the two drugs was discussed.
Study of heat transfer and pressure drop for novel configurations of helical tube heat exchanger: a numerical and experimental approach
Authors: Marzouk S. A. , Abou Al-Sood M. M. , El-Said Emad M. S. , El-Fakharany Magda K. , Younes M. M. 
Published: April 2023

AbstractIn this study, several unique tube configurations are designed and modeled to examine the thermal and hydraulic performance of a helical tube heat exchanger (HTHE) experimentally and numerically. For cold and hot side tube designs, the numerical investigation is completed using three-dimensional modeling, and the findings are confirmed using experimental data with Reynolds numbers ranging from 16,000 to 25,000. Six configurations named HTHE1, HTHE2, HTHE3, HTHE4, HTHE5, and HTHE6 are tested. The findings showed that as compared to the uniform tube distribution, the new arrangements have a greater overall heat transfer coefficient. The overall heat transfer coefficient has the highest enhancement ratio (125–185%) in the HTHE6 setup with two pathways. Additionally, it is discovered that the pressure drop rises as the Reynolds number increases. The HTHE1 configuration has the highest pressure drop values, whereas configurations with only one pass result in a greater pressure loss when compared to setups with two paths. The values of the coefficient of performance for the HTHE6 are larger than those of other forms, and the coefficient of performance decreases as the Reynolds number increases. The exergy efficiency grows with the rise of Reynolds number where the HTHE6 has the maximum value of exergy efficiency compared to other shapes. The performance of heat transfer is dramatically improved by the novel tube arrangements, although variations in pressure drop and pumping power are only a little affected.
The application of thermomicroscopy to the temperature programmed reduction in metal oxides
Authors: Ashton Gage P. , Charsley Edward L. , Gillie Lisa J. , Harding Lindsay P. , Parkes Gareth M. B. , Watson Adam J. 
Published: April 2023

AbstractThermomicroscopy, or hot-stage microscopy, is primarily used in the analysis of organic materials such as pharmaceuticals and polymers. However, its potential application to the study of inorganic systems remains largely unexplored. A thermomicroscope was developed utilising red, green, blue (RGB) colour profiles and individual micrographs taken at fixed temperatures to follow temperature programmed reduction processes under a hydrogen atmosphere. The instrument was used for the study of the reduction in the oxides of silver, copper, lead, and cobalt. To the best of the authors’ knowledge, this is the first time that temperature programmed reduction processes have been followed using thermomicroscopy and our results suggest the presence of transient intermediate phases within the lead oxide and cobalt oxide systems.
Graphical abstract
Content-aware QoE optimization in MEC-assisted Mobile video streaming
Authors: Rahman Waqas ur , Huh Eui-Nam 
Published: April 2023

AbstractThe traditional client-based HTTP adaptation strategies do not explicitly coordinate between the clients, servers, and cellular networks. A lack of coordination leads to suboptimal user experience. In addition to optimizing Quality of Experience (QoE), other challenges in adapting HTTP adaptive streaming (HAS) to the cellular environment are overcoming unfair allocation of the video rate and inefficient utilization of the bandwidth under the high-dynamics cellular links. Furthermore, the majority of the adaptive strategies ignore important video content characteristics and HAS client information, such as segment duration, buffer size, and video duration, in the video quality selection process. In this paper, we present a content-aware hybrid multi-access edge computing (MEC)-assisted quality adaptation algorithm by taking advantage of the capabilities of edge cloud computing. The proposed algorithm exploits video content characteristics, HAS client settings, and application-layer information to jointly adapt the bitrates of multiple clients. We design separate strategies to optimize the performance of short and long duration videos. We then demonstrate the efficiency of our algorithm against client-based solutions as well as MEC-assisted algorithms. The proposed algorithm guarantees high QoE, equitably selects video rates for clients, and efficiently utilizes the bandwidth for both short and long duration videos. The results from our extensive experiments reveal that the proposed long video adaptation algorithm outperforms state-of-the-art algorithms, with improvements in average video rate, QoE, fairness, and bandwidth utilization of 0.4%–12.3%, 8%–65%, 3.3%–5.7%, and 60%–130%, respectively. Furthermore, when high bandwidth is available to competing clients, the proposed short video adaptation algorithm improves QoE by 11.1% compared to the long video adaptation algorithm.
Zinc Oxide Nanoparticles Promise Anticancer and Antibacterial Activity in Ovarian Cancer
Authors: Mousa Ahmed Bakr , Moawad Raghda , Abdallah Yasmine , Abdel-Rasheed Mazen , Zaher Azza M. Abdel 
Published: April 2023

Abstract
Background
Ovarian cancer is the most lethal cancer in gynaecology. Surgery, chemotherapy, and radiotherapy are the most often used cancer-fighting strategies. Post-surgery infection is fairly prevalent, especially among people with insufficient immunity. Zinc oxide nanoparticles (ZnOnps) have amazing biomedical features as anticancer and antibacterial agents.

Methods
We investigated the behaviour of ZnOnps synthesized by green methods on ovarian cancers using established human ovarian cancer cell lines, besides the antibacterial action toward models of gram + ve and gram -ve bacteria. The cytotoxic effect of ZnOnps was calculated using a Sulforhodamine B (SRB) trial. Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) were tested as models for gram + ve and gram -ve bacteria. The selected bacteria were subjected to concentrations of 20, 40, 80, and 100 μg/ml.

Results
The synthesized ZnOnps induced 50% inhibitory concentration (IC50) at a concentration of 27.45 μg/ml. The diameter of inhibition ranged between 20.16 ± 0.16 and 27 ± 0.57 mm for S. aureus and 25.66 ± 0.33 to 31 ± 0.33 mm for E. coli. ZnOnps antagonistic effect statistically differed with neomycin, cefaclor, and cefadroxil.

Conclusions
Green synthesis of ZnOnps is easily prepared, low cost, non-toxic, and eco-friendly. Their cytotoxic action on SKOV3 cells and their antibacterial characteristics pave the way to be an alternative therapy for ovarian cancer and S. aureus and E. coli infection.
Variational Tobit Gaussian Process Regression
Authors: Basson Marno , Louw Tobias M. , Smith Theresa R. 
Published: April 2023

AbstractWe propose a variational inference-based framework for training a Gaussian process regression model subject to censored observational data. Data censoring is a typical problem encountered during the data gathering procedure and requires specialized techniques to perform inference since the resulting probabilistic models are typically analytically intractable. In this article we exploit the variational sparse Gaussian process inducing variable framework and local variational methods to compute an analytically tractable lower bound on the true log marginal likelihood of the probabilistic model which can be used to perform Bayesian model training and inference. We demonstrate the proposed framework on synthetically-produced, noise-corrupted observational data, as well as on a real-world data set, subject to artificial censoring. The resulting predictions are comparable to existing methods to account for data censoring, but provides a significant reduction in computational cost.
A sparse matrix formulation of model-based ensemble Kalman filter
Authors: Gryvill Håkon , Tjelmeland Håkon 
Published: April 2023

AbstractWe introduce a computationally efficient variant of the model-based ensemble Kalman filter (EnKF). We propose two changes to the original formulation. First, we phrase the setup in terms of precision matrices instead of covariance matrices, and introduce a new prior for the precision matrix which ensures it to be sparse. Second, we propose to split the state vector into several blocks and formulate an approximate updating procedure for each of these blocks. We study in a simulation example the computational speedup and the approximation error resulting from using the proposed approach. The speedup is substantial for high dimensional state vectors, allowing the proposed filter to be run on much larger problems than can be done with the original formulation. In the simulation example the approximation error resulting from using the introduced block updating is negligible compared to the Monte Carlo variability inherent in both the original and the proposed procedures.