Machine learning-based estimation of crude oil-nitrogen interfacial tension by Safia Obaidur Rab, Subhash Chandra, Abhinav Kumar, Pinank Patel, Mohammed Al-Farouni, Soumya V. Menon, Bandar R. Alsehli, Mamata Chahar, Manmeet Singh, Mahmood Kiani

“…The previous research works dealing with prediction of IFT of oil and nitrogen systems consider synthetic oil samples such n-alkanes. In this work, we aim to utilize eight machine learning methods of Decision Tree (DT), AdaBoost (AB), Random Forest (RF), K-nearest Neighbors (KNN), Ensemble Learning (EL), Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Multilayer Perceptron Artificial Neural Network (MLP-ANN) to construct data-driven intelligent models to predict crude oil – nitrogen IFT based upon experimental data of real crude oils samples encountered in underground oil reservoirs. …”
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Data-Driven Fault Detection and Diagnosis in Cooling Units Using Sensor-Based Machine Learning Classification by Amilcar Quispe-Astorga, Roger Jesus Coaquira-Castillo, L. Walter Utrilla Mego, Julio Cesar Herrera-Levano, Yesenia Concha-Ramos, Erwin J. Sacoto-Cabrera, Edison Moreno-Cardenas

“…A database with 20,000 samples was obtained, which includes normal and failed operating events generated in the PAC. …”
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Physical activity assessment and prescription for overweight patients in primary care in Portugal: A quality improvement project by Rita Vale Lima, Carina Antunes, Filipa Ribeiro, Andreia Teixeira, Carlos Martins

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Non-Invasive Prenatal Screening for Down Syndrome: A Review of Mass-Spectrometry-Based Approaches by Răzvan Lucian Jurca, Ioana-Ecaterina Pralea, Maria Iacobescu, Iulia Rus, Cristina-Adela Iuga, Florin Stamatian

“…Various methods of prenatal screening have been developed over time, allowing informed decision-making. However, a common drawback of the current methods for detecting T21 is their invasive nature. …”
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Presence of Campylobacter spp in raw chicken meat. According to its origin and sold in markets in the city of La Paz, Bolivia by Marcelina Condori Ticona, Angélica María Espada Silva, María del Pilar Donado Godoy

“…According to the type of outlet, refrigerated and non-refrigerated samples from Cochabamba and La Paz (p>0.05) contamination did not present a significant difference that was higher than 66.7 %, however, in Santa Cruz refrigerated samples 42.8 % and 82.4 % in non-refrigerated samples at the time of sale (p<0.05). …”
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Ethical issues in the development and implementation of nutrition-related public health policies and interventions: A scoping review. by Thierry Hurlimann, Juan Pablo Peña-Rosas, Abha Saxena, Gerardo Zamora, Béatrice Godard

“…Ethical challenges that are overlooked during the development of such interventions could raise serious ethical issues during their implementation and even after. As a result, these decision makers need technical support and ethical guidance for adaptation of interventions to local (cultural, social, economic, etc.) contexts.…”
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Influence of Synthesis Conditions on the Monoclinic Structure Formation of Gd_0.85−yLa_yPO₄:15%Eu and Luminescent Properties by Darius Budrevičius, Eglė Buzaitytė, Kęstutis Mažeika, Ramūnas Skaudžius

“…Additionally, magnetization dependence on the applied magnetic field strength was measured, revealing paramagnetic properties in the investigated samples.…”
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Meta-Ensemble Learning for Heart Disease Prediction: A Stacking-Based Approach With Explainable AI by Mehwish Naz, Aqsa Khalid, Abdul Hameed, Rabia Taj, Waleed Mumtaz, Faiz Abdullah Alotaibi, Mrim M. Alnfiai

“…The proposed model attained an accuracy of 97.72% with a F1-Score of 97.89% on the Heart_2020_Cleaned dataset comprising 319,795 samples, 95.50% accuracy with 95.24% F1-Score on the Cardio Train dataset containing 70,000 samples, and 98.90% accuracy with 98.86% F1-Score on the Heart Statlog Cleveland Hungary dataset, which includes 1,190 instances. …”
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Pathomorphological analysis of budding in colorectal carcinomas by I. S. Shponka, O. V. Poslavska, I. K. Kharkhalis, T. V. Shynkarenko

“…In one third of the number of samples, differences were determined not only in the number of clusters, but also in the budding category when stained by routine and immunohistochemical methods. …”
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Perception of Interventional Radiology among Jazan Medical Students: Assessment of Knowledge and Career Intentions by Salha Al Bahkali, Ali Al Harbi, Fatimah Kamili, Ibrahim Al Rashidi

“…Statistical Analysis We calculated the size of the sample using the Raosoft Sample Size Calculator Web site. …”
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Analysis of the results of designing reading electronics of silicon photomultiplier tubes driven by the base matrix crystal MN2XA030 by O. V. Dvornikov, V. A. Tchekhovski, Ya. D. Galkin, A. V. Kunts, V. R. Stempitski, N. N. Prokopenko

“…The output parameters of the experimental samples are compared with the results of computer simulation. …”
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Predicting Suspended Sediment Transport in Urbanised Streams: A Case Study of Dry Creek, South Australia by Tesfa Gebrie Andualem, Guna A. Hewa, Baden R. Myers, John Boland, Stefan Peters

“…This study investigates the relationships between streamflow, turbidity, and SSC in Dry Creek, South Australia, to understand sediment transport dynamics in urbanised catchments. We collected grab samples from the field and analysed them in the laboratory. …”
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Determination of miRNA in tear extracellular vesicles significantly associated with treatment-requiring retinopathy of prematurity: a pilot study by Saki Kanei, Airu Torimura, Yumiko Shimizu, Takashi Baba, Ryu Uotani, Shin-ichi Sasaki, Daisuke Nagase, Yoshitsugu Inoue, Dai Miyazaki

“…When the Gradient boosting decision tree was applied, miR-520a-5p discriminated treatment-requiring ROP with accuracy of 77.8% and an area under the curve (AUC) of 0.889. …”
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Evaluating the total laboratory testing process and performance via quality indicators in clinical chemistry and hematology laboratories at Pawi General Hospital, Benishangul Gumz,... by Nigatu Tarekegn, Aklilu Getachew Mamo, Kedir Abdella Abdulsemed, Seid Abrar Abdlshikure, Zeleke Mekonnen

“…Abstract Background Clinical laboratory test results play a critical role in medical decision-making and patient management. It is estimated that over 60–70% of essential clinical decisions; including hospital admissions, prescribing of medications, and patient discharges, depend on these results. …”
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Accuracy of human epidermal growth factor receptor 2 (HER2) immunohistochemistry scoring by pathologists in breast cancer, including the HER2-low cutoff by Agata Wróbel, Michel Vandenberghe, Marietta Scott, Frances Jones, Tsuyoshi Matsuo, Anne-Marie Boothman, Jessica Whiteley, Craig Barker

“…Samples were rescored in a central laboratory by three pathologists trained in HER2-low scoring, and a majority consensus generated. …”
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DIGITALIZATION OF DIAGNOSIS AND PREVENTION OF DUST-INDUCED LUNG DISEASES IN KEMEROVO COAL MINERS: INTEGRATION OF TELEMEDICINE AND BIG DATA ANALYTICS FOR PROTECTING THE HEALTH OF CO... by Олег Иванович Бондарев, Сергей Николаевич Филимонов

“…The study involved cytological samples from 100 coal industry workers diagnosed with pneumoconiosis. …”
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The Aboveground Biomass Estimation of the Grain for Green Program Stands Using UAV-LiDAR and Sentinel-2 Data by Gaoke Yueliang, Gentana Ge, Xiaosong Li, Cuicui Ji, Tiancan Wang, Tong Shen, Yubo Zhi, Chaochao Chen, Licheng Zhao

“…Then, the AGB of the GGP stands was estimated using the Sentinel-2 data and the gradient boosting decision tree (GBDT) algorithm. The results showed that the AGB sample dataset constructed using the proposed approach exhibited strong consistency with field-measured data (R² = 0.89). …”
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Research on the Simulation Model of Dynamic Shape for Forest Fire Burned Area Based on Grid Paths from Satellite Remote Sensing Images by Xintao Ling, Gui Zhang, Ying Zheng, Huashun Xiao, Yongke Yang, Fang Zhou, Xin Wu

“…The value of each target variable and that of its corresponding independent variable constituted a sample. Four machine learning models, such as Random Forest (RF), Gradient Boosting Decision Trees (GBDT), Support Vector Machine (SVM), and Multilayer Perceptron (MLP), were trained using 80% effective samples from four forest fires, and 20% used to verify the above models. …”
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Clinical performance of two commercially available rapid antigen tests for influenza, RSV, and SARS-CoV-2 diagnostics by Laura E. Savolainen, Joanna Peltola, Risto Hilla, Tapio Åman, Markku Broas, Ilkka S. Junttila

“…In RAT2 analysis, respective sensitivities for influenza A and RSV in samples with Ct <25 were 85% and 100% and in samples with Ct <30 respective sensitivities dropped to 69.23% and 66.67%. …”
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Viroscope™: a universal solution for plant virus and viroid diagnostics using HTS and cloud-based analysis by Verónica Morgante, Juan Cristóbal Jiménez, Claudio Ponce, Cristóbal Urrutia, Fernanda Vera, Camila Farías, Rocío Camps de la Maza, Valentina Caro, Marco Muñoz, Bernardo Pollak

“…The cloud-based platform facilitates global adoption of HTS technology by phytosanitary agencies through user-friendly reports that enable rapid and informed decision-making.…”
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