Hot and round: How temperature and shape impact the multisensory appreciation of cornmeal by Juravle, G, Duca, R, Feghiuș, C, Spence, C

“…In a between-participants experimental design conducted in an ecologically-valid restaurant setting, we investigated the appreciation of differently-shaped pieces of cornmeal (rounded vs. rectangular) for different serving temperatures (room-temperature vs. hot presentation). 282 participants (165 female, mean age of 37 years, SD = 11 years, age range 17–62 years) tasted the cornmeal and evaluated it with respect to several sensorial qualities (i.e., temperature, wetness, texture, elasticity, and liking) and indicated the perceived dominant taste from amongst the five basic tastes. …”

Teaching and learning guide on the ethics of human enhancement by Giubilini, A

“…The current debate raises important philosophical issues such as the normative value of our idea of ‘human nature’, the meaning and value of equality among humans and, more generally, whether we should put limits on human striving to better ourselves.…”

Terms of debate: consensus definitions to guide the scientific discourse on visual distraction by Liesefeld, HR, Lamy, D, Gaspelin, N, Geng, JJ, Kerzel, D, Schall, JD, Allen, HA, Anderson, BA, Boettcher, S, Busch, NA, Carlisle, NB, Colonius, H, Draschkow, D, Egeth, H, Leber, AB, Müller, HJ, Röer, JP, Schubö, A, Slagter, HA, Theeuwes, J, Wolfe, J

“…Obviously, communication – and thus, scientific progress – is hampered if the meaning of these terms varies idiosyncratically across (sub)fields and even across individual researchers within the same subfield. …”

Solidarity as a transformative practice by Cipollitti, PE

“…<p>In this thesis, I investigate the meaning, importance, and potential of political solidarity. …”

Investigation of logarithmic signatures for feature extraction and application to marine engine fault diagnosis by Patil, C, Theotokatos, G, Wu, Y, Lyons, T

“…The results demonstrate that the approach involving the use of eight elementary logS, Principal Components Analysis (PCA), standardisation and an ANN regression model comprising two hidden layers with ten neurons each is the most effective, as it exhibits the lowest values on both the root mean square and the standard error 95% confidence interval. …”

‘It's the little things that count’: healthcare professionals’ views on delivering dignified care: a qualitative study by Williams, V, Kinnear, D, Victor, C

“…<p><b>Background</b></p> Although ‘care’ and dignity in care are seen as central to the delivery of good care by patients, families and professionals, we still lack a clear understanding of what these, often contested and elusive concepts, mean in the practice setting, particularly from the perspective of healthcare professionals. …”

Quality of life among patients with lower limb osteoarthritis in Hospital Universiti Sains Malaysia by Nazeri, Nuranis Milani Ahmad

“…For physical activity, the average mean was 40.45 (SD 23.03), mental health 22.33 (SD 19.77), pain 25.46 (SD 11.07), social functioning 26.78 (SD 3.21) and social support 27.56 (SD 2.16). …”
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Factors affecting workplace well-being : Building construction projects by Rani, Hafnidar A., Radzi, Afiqah R., Ahmad Rizal, Alias, Almutairi, Saud Jaza, Abdul Rahimi, Abdul Rahman

“…Data from 205 valid responses were analyzed using mean score ranking, normalization, the Kruskal–Wallis test, and overlap analysis. …”
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Real-time personal protective equipment compliance detection using you only look once by Nurhanisah, Aminuddin, Nor Azuana, Ramli, Pratondo, Agus

“…The model's performance is evaluated using metrics such as confusion matrix, accuracy, precision, recall, mean average precision (mAP), and losses. Results indicate that YOLOv8 exceeds the performance of the other YOLO models, achieving precision, recall, and mAP of over 90% for all identified classes: HELMET, NOHELMET, SAFETYJACKET, NOSAFETYJACKET. …”
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Homebuyer complaints during defect liability period: Critical analysis of individual presumptions, defect discovery and post-rectifications factors by Mohd Saufi, ., Liyana, Mohamed Yusof, Rahimi, A. Rahman

“…The collected data were subjected to statistical analyses, including normalized mean analysis, Kruskal–Wallis H test, factor analysis and fuzzy synthetic evaluation. …”
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Efficient Quantum Algorithm for Nonlinear Reaction–Diffusion Equations and Energy Estimation by Liu, Jin-Peng, An, Dong, Fang, Di, Wang, Jiasu, Low, Guang H., Jordan, Stephen

“…In particular, we show how to estimate the mean square kinetic energy in the solution by postprocessing the quantum state that encodes it to extract derivative information.…”
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Predicting Team Well-Being through Face Video Analysis with AI by Müller, Moritz, Dupuis, Ambre, Zeulner, Tobias, Vazquez, Ignacio, Hagerer, Johann, Gloor, Peter A.

“…Statistical analysis is applied to each time series, leading to the generation of a dataset of 125 features, which are then linked to PERMA (Positive Emotion, Engagement, Relationships, Meaning, and Accomplishments) surveys developed in the context of positive psychology. …”
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Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms by Ragnarsdottir, Hanna, Ozkan, Ece, Michel, Holger, Chin-Cheong, Kieran, Manduchi, Laura, Wellmann, Sven, Vogt, Julia E.

“…We use spatio-temporal convolutional architectures for the prediction of PH from each view, and aggregate the predictions of the different views using majority voting. Our results show a mean F1-score of 0.84 for severity prediction and 0.92 for binary detection using 10-fold cross-validation and 0.63 for severity prediction and 0.78 for binary detection on the held-out test set. …”
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Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features by Zeulner, Tobias, Hagerer, Gerhard Johann, Müller, Moritz, Vazquez, Ignacio, Gloor, Peter A.

“…As the dependent variable, team members filled out a daily PERMA (positive emotion, engagement, relationships, meaning, and accomplishment) survey. These well-being scores were predicted using speech features extracted from the videos using machine learning. …”
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Modal tense: if and wish by Crowley, Paul

“…This paper is concerned with uses of certain morphemes, most notably the past, to represent meanings of distance from reality in modal expressions. …”
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Landscape Water Storage and Subsurface Correlation from Satellite Surface Soil Moisture and Precipitation Observations by Short Gianotti, Daniel J., Salvucci, Guido D., Akbar, Ruzbeh, McColl, Kaighin A., Cuenca, Richard, Entekhabi, Dara

“…We calculate a hydrologic length scale, λ, which represents (1) the mean-state estimator of total column water changes from surface observations, (2) an e-folding length scale for subsurface soil moisture profile covariance fall-off, and (3) the best second-moment mass-conserving surface layer thickness for a simple bucket model, defined by the data streams of satellite soil moisture and precipitation retrievals. …”
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Explicit Two-Sided Unique-Neighbor Expanders by Hsieh, Jun-Ting, McKenzie, Theo, Mohanty, Sidhanth, Paredes, Pedro

“…Our main result is the first two-sided construction of imbalanced unique-neighbor expanders, meaning bipartite graphs where small sets contained in both the left and right bipartitions exhibit unique-neighbor expansion, along with algebraic properties relevant to constructing quantum codes. …”
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Characterizing Speech Motor Pattern in Minimally Verbal Adults with Autism Spectrum Disorder via Surface Electromyography by Protyasha, Nishat Fahmida

“…Features such as Root Mean Square (RMS) values, Pearson correlation coefficients, and eigenvalues from auto and cross correlation matrices were extracted to measure muscle activation and coordination complexity. …”
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Hofstadter Physics and Composite Fermionic Phase in Moiré Systems by Ding, Shuhan

“…We extend Jain’s composite fermion theory and the Chern-Simons field theory to Moiré TMD systems, proposing the existence of an anomalous composite fermion liquid state at half-filling. Through a detailed mean-field analysis, we demonstrate that this state, characterized by a strong valley polarization and an effective magnetic field arising from Berry curvature, could be energetically favored under certain conditions. …”
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Topics in Marma (မာရမာ) by Marma, Rani Ukhengching (ဦး ချမ်း စိန် မာရမာ)

“…Marma has “agglutinative morphology”, meaning words are formed by stringing together morphemes in specific sequences. …”
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