Aeroelastic Oscillations of Cantilever Beams Reinforced by Carbon Nanotubes Based on a Modified Third-Order Piston Theory by Mehdi Alimoradzadeh, Francesco Tornabene, Rossana Dimitri

“…This work analyzes the aero-elastic oscillations of cantilever beams reinforced by carbon nanotubes (CNTs). Four different distributions of single-walled CNTs are assumed as the reinforcing phase, in the thickness direction of the polymeric matrix. …”
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The Early Detection of Osteoporosis Through the Measurement of Hard Palate Thickness (HPT) Using Dental Cone Beam Computed Tomography (CBCT): A New Indicator for Osteoporosis? by Margrit-Ann Geibel, Dritan Turhani, Tilmann Blasenbrey, Meinrad Beer, Daniela Kildal

“…Osteoporosis can be diagnosed by different radiological methods. Dental cone beam computed tomography (CBCT) plays an important role in dentistry imaging. …”
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Heart Rate Variability Analysis in Congestive Heart Failure: The Need for Standardized Assessment Protocols by Monika Míková, David Pospíšil, Jan Řehoř, Marek Malik

“…Reduced HRV has consistently been found to be associated with all-cause mortality in CHF patients. However, different thresholds of long-term HRV indices have been proposed as mortality predictors; meanwhile, findings related to the prediction of other cardiac events, including sudden cardiac death, remain inconsistent. …”
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Assessing the effects of engineered oyster reefs on shoreline change using drones by Megan E. Geesin, Georgette L. Tso, Hannah Sirianni, Siddharth Narayan, Siddharth Narayan, Chris J. Baillie, Praveen D. Malali, Brandon J. Puckett, Justin T. Ridge, Rachel K. Gittman, Rachel K. Gittman

“…Drones (or small uncrewed aerial systems [sUAS]) coupled with structure-from-motion (SfM) photogrammetry have recently been suggested as a low-cost method that offers optimal spatial coverage, fine-scale resolution, and high vertical accuracy for monitoring changes around living shorelines.MethodsWe evaluated how using different vertical and horizontal uncertainty thresholds for detection of drone-based shoreline change can influence interpretation of performance of engineered oyster reefs on coastal morphology and vegetation. …”
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Sample Size for Agreement Studies on Quantitative Variables by Bruno Mario Cesana, Paolo Antonelli

“…Furthermore, our devised procedure allows to calculate the sample sizes by choosing between two most suitable formulations of the global parameters space of the null and alternative hypotheses; indeed, they are based on the portion of the distribution of the differences between the two measurement methods or on appropriately chosen agreement thresholds. …”
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Solar Probability Density Estimation Using Adaptive Parametric/Nonparametric Hybrid Model by Maisam Wahbah, Bashar Zahawi, Tarek H. M. El-Fouly

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Defining chronic pain impact levels: a patient-clinician approach using PROMIS® pain interference scores by Karon F. Cook, Dokyoung Sophia You, Michael Von Korff, Sean C. Mackey

“…We employed the PRO-Bookmarking technique to identify threshold scores that delineate different levels of chronic pain impact. …”
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Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India by Abhijeet Das

“…More than 62.5% of the examined samples is above the allowable threshold of TKN, and a high concentration of Cl- and NO3- at SN-(9), highlighted the impact of man-made factors, including fertilizers used in agriculture and industrial effluents. …”
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A Multi-Objective Optimization and Decision Support Framework for Natural Daylight and Building Areas in Community Elderly Care Facilities in Land-Scarce Cities by Fang Wen, Lu Zhang, Ling Jiang, Wenqi Sun, Tong Jin, Bo Zhang

“…This study addresses this issue by adopting an integrated multi-method research framework that combines multi-objective optimization (MOO) algorithms, Spearman rank correlation analysis, ensemble learning methods (Random Forest combined with SHapley Additive exPlanations (SHAP), where SHAP enhances the interpretability of ensemble models), and Self-Organizing Map (SOM) neural networks. …”
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Mapping the hippocampal spatial proteomic signature in male and female mice of an early Alzheimer’s disease model by Ana Contreras, Raquel Jiménez-Herrera, Souhail Djebari, Juan D. Navarro-López, Lydia Jiménez-Díaz

“…Methods An innovative spatial-resolution proteomics study was performed to map whole hippocampal proteome distribution using matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry. …”
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KDM6A facilitates Xist upregulation at the onset of X inactivation by Josephine Lin, Jinli Zhang, Li Ma, He Fang, Rui Ma, Camille Groneck, Galina N. Filippova, Xinxian Deng, Chizuru Kinoshita, Jessica E. Young, Wenxiu Ma, Christine M. Disteche, Joel B. Berletch

“…KDM6A mutations have been implicated in congenital disorders such as Kabuki Syndrome, as well as in sex differences in development and cancer. Methods Kdm6a was knocked out (KO) using CRISPR/Cas9 gene editing in hybrid female mouse embryonic stem (ES) cells derived either from a 129 × Mus castaneus (cast) cross or a BL6 x cast cross. …”
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Two-fold red excess (TREx): a simple and novel digital color index that enables non-invasive real-time monitoring of green-leaved as well as anthocyanin-rich crops by Avinash Agarwal, Filipe de Jesus Colwell, Viviana Andrea Correa Galvis, Tom R. Hill, Neil Boonham, Ankush Prashar

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Development and Characterization of a Ten-Plex Assay to Measure <i>Klebsiella pneumoniae</i> Antigen-Specific IgG in Human Sera by Luca Rovetini, Gianina Florentina Belciug, Luisa Massai, Francesca Nonne, Renzo Alfini, Heena Ranchod, Denasha L. Reddy, Mariagrazia Molfetta, Davide Oldrini, Makrina Totsika, Miren Iturriza, Ziyaad Dangor, Carlo Giannelli, Shabir A. Madhi, Francesca Micoli, Martina Carducci, Omar Rossi

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Non-carcinogenic health risks assessment of bioaerosols. by Azhar Siddique, Kashif Rasool

“…This study introduces a novel approach for assessing non-carcinogenic health risks using bioaerosol exposure data. The method employs the Average Daily Dose and Hazard Quotient (HQ) metrics, adapted from US Environmental Protection Agency guidelines, with the Reference Dose (RfD) based on thresholds from the National Institute of Occupational Safety and Health and the American Conference of Governmental Industrial Hygienists. …”
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Stomata morphology measurement with interactive machine learning: accuracy, speed, and biological relevance? by Tomke S. Wacker, Abraham G. Smith, Signe M. Jensen, Theresa Pflüger, Viktor G. Hertz, Eva Rosenqvist, Fulai Liu, Dorte B. Dresbøll

“…The approach enables non-ML experts to efficiently segment stomatal structures across diverse datasets, including images from different plant species, magnifications, and imprint methods. …”
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ENIGMA’s advanced guide for parcellation error identification (EAGLE-I): An implementation in the context of brain lesions by Evelyn Deutscher, Emily Dennis, Jake Burnett, Lyndon Firman-Sadler, Annalee L. Cobden, Michael Pink, Finian Keleher, Emma Read, Courtney McCabe, Janine Lyons, Frank G. Hillary, Elisabeth A. Wilde, Carrie Esopenko, Ekaterina Dobryakova, Andrei Irimia, Ahmed M. Radwan, Phoebe Imms, Adam Clemente, Paul Beech, Mohammadreza Mohebbi, Alex Burmester, Juan F Domínguez D, Neda Jahanshad, Sophia I. Thomopoulos, Paul M. Thompson, Karen Caeyenberghs

“…However, previous QC methods have applied somewhat ambiguous rules for region error identification and inconsistent thresholds for image quality ratings.We developed ENIGMA’s Advanced Guide for parceLlation Error Identification (EAGLE-I) - a detailed training resource for identifying, classifying, and recording different error types within each individual region.Region level errors are identified by: (a) type, unconnected (affecting a single ROI) or connected (affecting multiple ROIs); (b) size (minor, intermediate, or major); and (c) directionality, overestimation or underestimation.Region level errors are recorded on a user friendly customised spreadsheet with standardised coding that subsequently enables automatic calculation of brain quality rating (pass, minor error, major error, fail, or discuss).…”
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Investigating soil mesofauna cryptic diversity: Current challenges and perspectives by Margarita A. Danilova, Elena Y. Zvychaynaya, Polina A. Guseva, Andrey S. Zaitsev

“…Our analysis revealed taxon‐specific thresholds: while COI divergences greater than 3% typically indicate cryptic species in collembolans, higher thresholds appear justified for mites (up to 17%) and enchytraeids (up to 5%) when supported by conserved nuclear markers (28S/H3), ecological or geographic coherence and the absence of intermediate forms. …”
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Trace Metal Element Analysis in Some Seafood in the Coastal Zone of the Red River (Ba Lat Estuary, Vietnam) by Green Sample Preparation and Inductively Coupled Plasma-Mass Spectrom... by Nhu Da Le, Thi Thu Ha Hoang, Vu Phong Phung, Thi Lien Nguyen, Thi Thuy Duong, Le Minh Dinh, Thi Mai Huong Pham, Thi Xuan Binh Phung, Tien Dat Nguyen, Thanh Nghi Duong, Thi My Hanh Le, Phuong Thu Le, Thi Phuong Quynh Le

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Evaluation of Single Column Trapping/Separation and Chemiluminescence Detection for Measurement of Methanethiol and Dimethyl Sulfide from Pig Production by Michael Jørgen Hansen, Kei Toda, Tomoaki Obata, Anders Peter S. Adamsen, Anders Feilberg

“…Reduced sulfur compounds are considered to be important odorants from pig production due to their low odor threshold values and low solubility in slurry. The objective of the present study was to investigate the use of a portable method with a single silica gel column for trapping/separation coupled with chemiluminescence detection (SCTS-CL) for measurement of methanethiol and dimethyl sulfide in sample air from pig production. …”
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A computational framework to characterize and compare the tonal repertoires of toothed whales by Maia Austin, Julie N. Oswald, Manali Rege‐Colt, Emma Gagne, Eric Angel Ramos, Joëlle De Weerdt, Nicola Ransome, Laura J. May‐Collado

“…While the methods differ in their assumptions, there was consensus in the ranking of species based on repertoire size. …”
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