Continuous imaging to evaluate growth and drug responses of patient-derived colorectal tumouroids by B.C. Sakshaug, E. Folkesson, T.H. Haukaas, M.S. Sigfúsdóttir, H.H. Trøen, S.B. Sperstad, H.C.H. Bwanika, C. Ringers, I.A. Bergstrøm, G. Klinkenberg, T. Visnes, Å. Flobak

“…Background: The use of patient-derived tumouroids is expected to have major implications in preclinical drug testing and clinical decision support. Data acquisition from these samples in drug screens, however, is often limited by time-consuming procedures, scarce screening material, and destructive, single-parameter endpoint measurements. …”
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Integrated Assessment and Agricultural Planning in Selenium-Rich Hilly Soils: A Case Study on Land Use, Heavy Metal Contamination, and Nutrient Element Distribution by Jianzhou Yang, Kai Li, Jianweng Gao, Zhenliang Wang, Jingjing Gong, Shuqi Hu, Qiang Zhang, Zhuang Duan, Yong Li

“…In addition, analyses of 70 samples for organochlorine compounds and PAHs were performed. …”
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Significance of Immune-Related Genes in the Diagnosis and Classification of Intervertebral Disc Degeneration by Bo Wu, Xinzhou Huang, Mu Zhang, Wei Chu

“…The PCA algorithm was constructed to compute immune scores for every sample, to quantify immune patterns. The immune scores of immune cluster B patients were higher than those of immune cluster A. …”
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Clinical Consultation in the Workplace: Are There Implications for Response Attitudes? by Bárbara Gonzalez, Rosa F. Novo, Maria João Afonso, Matilde Fernandes, Ana Vieira

“…Our main goal is to find out if, when psychological assessment occurs in the workplace context, patients being assessed present specific response bias that may have implications for the clinical results and correlative decisions. Five hundred and ten adult participants grouped in two samples of ambulatory patients – Clinical-Organizational Sample (COS n = 238) and Clinical Sample (CS n = 272) – were assessed with the Minnesota Multiphasic Personality Inventory-2-RF validity and substantive scales. …”
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Enjoy it! Cosmetic try-on apps and augmented reality, the impact of enjoyment, informativeness and ease of use by V. Micheletto, S. Accardi, A. Fici, A. Fici, F. Piccoli, C. Rossi, M. Bilucaglia, V. Russo, V. Russo, M. Zito, M. Zito

“…Virtual Try-On cosmetics apps based on Augmented Reality (AR) technology can improve both consumer product evaluation and purchase decisions, while also supporting companies’ marketing strategies. …”
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Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies by Adaiton Oliveira-Filho, Monelle Comeau, James Cave, Charbel Nasr, Pavel Côté, Antoine Tahan

“…However, SCADA data are highly imbalanced, with a predominance of healthy condition samples. Although this imbalance can negatively impact analyses such as detection, Condition Monitoring (CM), diagnosis, and prognosis, it is often overlooked in the literature. …”
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Valuing consumer preferences and motivations for plant-based beverages: A CUB model analysis by Giulia Mastromonaco, Stefano Massaglia, Danielle Borra, Francesco Sottile, Cristiana Peano, Mingze Rui, Oriana Mosca, Valentina Maria Merlino

“…Results suggest that the two most important PBBs attributes considered in the decision-making process were taste and expiration date; the main reasons for PBBs consumption were the presence of vitamins and minerals and beneficial health ingredients. …”
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Portable NIR Spectroscopy Combined with Machine Learning for Kiwi Ripeness Classification: An Approach to Precision Farming by Giuseppe Altieri, Sabina Laveglia, Mahdi Rashvand, Francesco Genovese, Attilio Matera, Alba Nicoletta Mininni, Maria Calabritto, Giovanni Carlo Di Renzo

“…For ripening stage classification, an Artificial Neural Network (ANN) outperformed other models, correctly classifying 97.8% of samples (R² = 0.95, RMSE = 0.08, MAE = 0.03). …”
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An Enhanced Machine Learning Framework for Type 2 Diabetes Classification Using Imbalanced Data with Missing Values by Kumarmangal Roy, Muneer Ahmad, Kinza Waqar, Kirthanaah Priyaah, Jamel Nebhen, Sultan S Alshamrani, Muhammad Ahsan Raza, Ihsan Ali

“…There is a need to develop critical decision support systems to assist medical practitioners in the diagnosis process. …”
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Cultural adaptation of an evidence-based intervention to address mental health among youth affected by armed conflict in Colombia: An application of the ADAPT-ITT approach and FRAM... by María Pineros-Leano, Alethea Desrosiers, Natalia Piñeros-Leaño, Andrés Moya, Catalina Canizares-Escobar, Lyann Tam, Theresa S. Betancourt

“…Future studies using randomized designs are needed to test the effectiveness of the YRI for improving mental health among larger samples of Colombian conflict-affected youth. …”
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Explainable Artificial Intelligence for predicting the compressive strength of soil and ground granulated blast furnace slag mixtures by Ahmed Mohammed Awad Mohammed, Omayma Husain, Muyideen Abdulkareem, Nor Zurairahetty Mohd Yunus, Nadiah Jamaludin, Elamin Mutaz, Hashim Elshafie, Mosab Hamdan

“…This study aims to predict the UCS of soft soil stabilized with GGBS using various machine learning models. A database of 200 samples was compiled from the literature, and six ML models—linear regression, decision trees, random forest, artificial neural networks, gradient boosting, and extreme gradient boosting were developed and evaluated. …”
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Medical Therapy Versus Percutaneous Coronary Intervention in Patients with Myocardial Bridging from a National Population-Based Cohort Study: The Use of Big Data Analytics by Chayakrit Krittanawong, Song Peng Ang, Fernando Alexis Padilla, Yusuf Kamran Qadeer, Zhen Wang, Nicola Gaibazzi, Samin K. Sharma, Carl J. Lavie, Hartzell V. Schaff, Ernst R. Schwarz

“…Our study used the National Inpatient Sample (NIS) Database to identify patients aged 18 or older with myocardial bridging who were managed with PCI versus medical therapy. …”
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Data Analysis in Newly Developed Milk Sensor Platforms: Good Practices, Common Pitfalls, and Hard-Earned Lessons from Field Application by Francesco Martelli, Claudia Giacomozzi, Roberto Dragone, Chiara Frazzoli, Gerardo Grasso

“…Developing milk process analytics requires careful consideration of both the nature of the processed sample and the conditions under which it is collected. …”
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Development of a Methodology Based on ALS Data and Diameter Distribution Simulation to Characterize Management Units at Tree Level by Jean A. Magalhães, Juan Guerra-Hernández, Diogo N. Cosenza, Susete Marques, José G. Borges, Margarida Tomé

“…Monte Carlo Simulation (MCS) is applied to generate a sample list of tree diameters from the simulated distributions. …”
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Enhancing Power Grid Reliability With Machine Learning and Auxiliary Classifier Generative Adversarial Networks: A Study on Fault Detection Using the Georgia Electric System Load D... by Hafeez Ur Rehman Siddiqui, Robert Brown, Adil Ali Saleem, Muhammad Amjad Raza, Sandra Dudley

“…The methodologies demonstrated scalability by using a dataset augmented to 9,000 samples and validated robustness through 10-fold cross-validation with a standard deviation of 0.00659. …”
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A computational cognitive neuroscience approach for characterizing individual differences in autism: Introduction to Special Issue by Wenda Liu, Agnieszka Pluta, Caroline J. Charpentier, Gabriela Rosenblau

“…These advances include large participant databases and data-sharing initiatives to increase sample sizes of autistic individuals across a wider range of cultural and socioeconomic backgrounds. …”
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The social-demographic characteristics and pandemic COVID-19 individual experience and their impact on vaccination attitude study aimed to determine the psychosocial interventions... by A. V. Vasileva, T. A. Karavaeva, D. S. Radionov, A. V. Yakovlev

“…They indicated that they do not plan to be vaccinated, 30.8%, postpones their decision until more remote data on the results and effectiveness of vaccination are obtained—34.7%, were vaccinated at the time of the study—12.2%. …”
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Spatial Variability and Mapping of Selected Soil Physical Properties under Continuous Cultivation by Sufiyanu Sani, Aliyu Abdulkadir, Salihu A hmad Pantami, Mahmud Sani, Ali Muhammad Amin, Muhammad Yakubu Abdullahi

“…Grid sampling technique was used to obtain one hundred and forty-four (144) soil samples from 206 ha of land using Google earth. …”
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The effect of mental training (mental visualization and attention focus) on the accuracy and speed of offensive performance in fencing players by Marwan Abdullateef AbdulJabbar, Mahmmod M. Ali, Yaseen Ali Khalaf, Salah Hadi Hammad, Ahmed Khalid Awad, Ameer Jaber Mushref, Othman Adham Ali

“…An intended sample of 60 male players was selected, randomly divided into two homogeneous groups. …”
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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

“…This study conducts a comparative performance analysis of the machine learning models for compressive strength prediction of FAGP using comprehensive dataset of 563 samples from 55 literature studies. Seven models such as multiple linear regression (MLR), artificial neural networks (ANNs), support vector machines (SVMs), K-nearest neighbor (KNNs), decision trees (DT), and ensemble methods combining DT with boosting and bootstrapping were employed. …”
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