Analytical performance of the ScreenFire HPV RS Zebra BioDome assay on four different qPCR platforms by Jun Wang, Godwin Imade, Alani S. Akanmu, Jonah Musa, Rose Anorlu, Yinan Zheng, Brian Joyce, Isaac Adewole, Imran O. Morhason-Bello, Jerome Belinson, Mamoudou Maiga, Demirkan B. Gursel, Atiene S. Sagay, Folasade T. Ogunsola, Robert L. Murphy, Lifang Hou

“…Conclusion The novel ScreenFire HPV Zebra BioDome format produced highly concordant hrHPV positivity and RS genotype results on all four qPCR platforms. The data suggests that this innovative technology has the potential to improve HPV testing uptake in low-resource settings without further investment in purchasing new equipment.…”
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Acoustic Emissions versus Pressure Stimulated Currents during bending of restored marble epistyles: Preliminary results by Stavros K. Kourkoulis, Ioanna Dakanali, Ermioni D. Pasiou, Ilias Stavrakas, Dimos Triantis

“…Combined exploitation of the various sets of experimental data enlightens interesting aspects concerning the succession of failure mechanisms activated during the loading procedure, revealing the critical role of the internal interfaces characterizing the restored epistyle. …”
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Integration of the transcriptome and glycome for identification of glycan cell signatures. by Sandra V Bennun, Kevin J Yarema, Michael J Betenbaugh, Frederick J Krambeck

“…The integration of multiple data sets represents an important application of systems biology for understanding complex cellular processes.…”
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AMR Surveillance in Africa: Are We There Yet? by Prof Sabiha Essack, Sabiha Y. Essack

“…Delineating the burden of antimicrobial resistance (AMR), detecting outbreaks due to multidrug resistant-bacteria and monitoring AMR trends for the early warning of emerging/escalating AMR in humans, animals, plants and the environment requires high-quality AMR surveillance systems that generate representative, quality-assured data. …”
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A RNA-Seq Analysis of the Rat Supraoptic Nucleus Transcriptome: Effects of Salt Loading on Gene Expression. by Kory R Johnson, C C T Hindmarch, Yasmmyn D Salinas, YiJun Shi, Michael Greenwood, See Ziau Hoe, David Murphy, Harold Gainer

“…In addition, we compare the SON transcriptomes resolved by RNA-Seq methods with the SON transcriptomes determined by Affymetrix microarray methods in rats under the same osmotic conditions, and find that there are 6,466 genes present in the SON that are represented in both data sets, although 1,040 of the expressed genes were found only in the microarray data, and 2,762 of the expressed genes are selectively found in the RNA-Seq data and not the microarray data. …”
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An Attempt at Describing Learning Curves for a Complex Sub-Task in Reading Acquisition by Hannah Kermes, Kay Berkling

“…The work presented here attempts to (a) model and parameterise these curves, (b) automate their classification into common forms across a larger population, and (c) detect mastery. In doing so, we propose a method of learning curve representation and interpretation and apply it to the data. …”
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Application of machine learning in early childhood development research: a scoping review by Akbar K Waljee, Amina Abubakar, Patrick N Mwangala, Faith Neema Benson, Daisy Chelangat, Willie Brink, Cheryl A Moyer

“…The review focuses on applied ML techniques, data types, feature sets, outcomes, data splitting and validation strategies, model performance, model explainability, key themes, clinical relevance and reported limitations.Design Scoping review using the Arksey and O‘Malley framework with enhancements by Levac et al.Data sources A systematic search was conducted on 16 June 2024 across PubMed, Web of Science, IEEE Xplore and PsycINFO, supplemented by grey literature (OpenGrey) and reference hand-searching. …”
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Classification of stratospheric extreme events according to their downward propagation to the troposphere by T. Runde, M. Dameris, H. Garny, D. E. Kinnison

“…Results are consistent across all three data sets.…”
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Continuous glucose monitoring in older people with diabetes and memory problems: a mixed-methods feasibility study in the UK by Ketan Dhatariya, Charlotte Salter, Yoon K Loke, Katharina Mattishent, Kathleen Lane, Helen M May, Sankalpa Neupane

“…Continuous glucose monitoring (CGM) offers important benefits in terms of detecting hypoglycaemia, but the feasibility of use and extent of data capture has not been tested in this patient group. …”
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Ex Vivo Fluorescence Molecular Tomography of the Spine by Monish Pimpalkhare, Jin Chen, Vivek Venugopal, Xavier Intes

“…As expected, the TG data sets, when combining early and late gates, provide significantly better performances than the CW data sets in terms of localization and quantification. …”
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Effects of Temperature on Reproductive Performance and Embryo Quality of Female Eriocheir sinensis by Chaoyue CUI, Zhi GENG, Guangpeng FENG, Tao ZHANG, Feng ZHAO, Gang YANG, Ping ZHUANG, Xiaorong HUANG

“…Three parallel groups were set up for each temperature, and three samples were collected for each parallel group. …”
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A Digital Twin of the Trondheim Fjord for Environmental Monitoring—A Pilot Case by Antonio Vasilijevic, Ute Brönner, Muriel Dunn, Gonzalo García-Valle, Jacopo Fabrini, Ralph Stevenson-Jones, Bente Lilja Bye, Igor Mayer, Arne Berre, Martin Ludvigsen, Raymond Nepstad

“…Data ingested into an InfluxDB are made available to users via an API or an interface for interacting with the DTO and setting up alerts or events to support ’what-if’ scenarios. …”
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GUBIC: The global urban biological invasions compendium for plants by Daijiang Li, Luke J. Potgieter, Myla F. J. Aronson, Irena Axmanová, Benjamin Baiser, Marta Carboni, Laura Celesti‐Grapow, Sonja Knapp, Ingolf Kühn, Ana Carolina Lacerda de Matos, Zdeňka Lososová, Flavia A. Montaño‐Centellas, Petr Pyšek, David M. Richardson, Lauren B. Trotta, Rafael D. Zenni, Sarel S. Cilliers, Bruce D. Clarkson, Amy J. S. Davis, Rebecca W. Dolan, Marcin K. Dyderski, Franz Essl, Orou G. Gaoue, Joanne Gui, Charly Géron, Gustavo Heringer, Cang Hui, Anzar A. Khuroo, Stefan Klotz, Peter M. Kotanen, Holger Kreft, Frank A. La Sorte, Jonas J. Lembrechts, Bernd Lenzner, Christopher A. Lepczyk, Scott MacIvor, Cristina Martínez‐Garza, Akira S. Mori, Charles Nilon, Jan Pergl, Stefan J. Siebert, Alyona S. Tretyakova, Toby P. N. Tsang, Kei Uchida, Mark vanKleunen, Montserrat Vilà, Hua‐Feng Wang, Patrick Weigelt, Peter Werner, Nicholas S. G. Williams, Marten Winter, Marc W. Cadotte

“…Further, this information should aid the early detection and risk assessment of potential invasive species, inform policy development and assist in setting management priorities.…”
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Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring by Mauro Rodriguez-Marin, Luis Gustavo Orozco-Alatorre

“…Logistic regression is a reliable and easily interpretable model for detecting growth abnormalities in children. Unlike complex machine learning models, it offers parsimony in transparency, efficiency, and reproducibility, making it ideal for clinical settings where explainable, data-driven decisions are essential. …”
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Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum by Mohammed Maray

“…It presents valuable insights into the health, fitness, and overall wellness of individuals outside of hospital settings. Therefore, the machine learning (ML) model is mostly used for the growth of the HAR system to discover the models of human activity from the sensor data. …”
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Adaptive Estimation Algorithm for Photoplethysmographic Heart Rate Based on Finite State Machine by Ting Lan, Yanan Bie, Dong Hai, Jun Zhong

“…The mean absolute errors of the algorithm on 12 sets of public data and 8 sets of testing data are 0.93 and 1.76 beats per minute (bpm), respectively. …”
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Role of artificial intelligence in healthcare insurance: systematic literature review by Ahmed Ali Alkhelb, Salah Alshagrawi

“…Privacy presents a challenge in AI, especially because of the widespread use of large data sets and algorithms that could misuse consumer information.…”
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Drought models for the study of the vegetation moisture content; analysis of performance of different models in two mediterranean ecosystems for application in forest fire preventi... by Bonora Laura, Vincenzi Matteo De

“…The contribution of this work is to evaluate the performance of vegetation drought models using field measured data (data related to local adaptation and phenotypic plasticity), data usually lacking. …”
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Assessing Nitrogen Dioxide in the Highveld Troposphere: Pandora Insights and TROPOMI Sentinel-5P Evaluation by Refilwe F. Kai-Sikhakhane, Mary C. Scholes, Stuart J. Piketh, Jos van Geffen, Rebecca M. Garland, Henno Havenga, Robert J. Scholes

“…We compare these two spatially (horizontal) representative data sets using statistical tools to investigate the concentrations of emitted and transported NO₂ at this particular location, expecting that a significant positive correlation between the NO₂ tropospheric vertical column (TVC) data might justify using the TROPOMI data, available globally, as a proxy for tropospheric and boundary layer NO₂ concentrations over the Highveld of South Africa more generally. …”
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Berkeley‐RWAWC: A New CYGNSS‐Based Watermask Unveils Unique Observations of Seasonal Dynamics in the Tropics by Tianjiao Pu, Cynthia Gerlein‐Safdi, Ying Xiong, Mengze Li, Eric A. Kort, A. Anthony Bloom

“…The sole reliance on CYGNSS data sets our method apart in the field, highlighting CYGNSS's indication of water existence. …”
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