Basal metabolic rate correlates with excess postexercise oxygen consumption across different intensities by Shu-Chun Huang, Kuan-Hung Chen, Watson Hua-Sheng Tseng, Lan-Yan Yang, Ching-Chung Hsiao, Yi-Chung Fang, Chen-Hung Lee

“…Venous blood samples were collected immediately to assess the blood lactate concentration (BLa). …”
Get full text

Machine learning analysis of survival outcomes in breast cancer patients treated with chemotherapy, hormone therapy, surgery, and radiotherapy by Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw

“…The dataset consisted of 5000 samples and turned into downloaded from Kaggle. The models assessed blanketed Support Vector Machines (SVM), K-Nearest Neighbor (KNN), AdaBoost, Gradient Boosting, Random Forest, Gaussian Naive Bayes, Logistic Regression, Extreme Gradient Boosting (XG boost), and Decision tree. …”
Get full text

Hydraulic Performance Modeling of Inclined Double Cutoff Walls Beneath Hydraulic Structures Using Optimized Ensemble Machine Learning by Mohamed Kamel Elshaarawy, Martina Zeleňáková, Asaad M. Armanuos

“…Abstract This study investigates the effectiveness of inclined double cutoff walls installed beneath hydraulic structures by employing five machine learning models: Random Forest (RF), Adaptive Boosting (AdaBoost), eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Boosting (CatBoost). …”
Get full text

The Effect of Training Based on James Brown Model on Self-efficacy in Adolescents with Type 1 Diabetes Mellitus by Zahra Yosefi, Mohammad Afshar, Neda Mirbagher Ajorpaz, Zohre Sadat

“…Materials and Methods: In this randomized clinical trial, 70 participants were selected and assigned to the control and intervention groups by random block. …”
Get full text

Risk factors for Toxoplasma gondii seropositivity in buffaloes in a Mediterranean area by Giovanna Cappelli, Antonio Bosco, Alessandra Martucciello, Gabriele Di Vuolo, Domenico Vecchio, Carlo Grassi, Maria Serrapica, Michele Napoletano, Paola Pepe

“…A total of 184 dairy buffalo farms were randomly selected upon arrival of blood samples collected during state prophylaxis and analyzed with an indirect ELISA kit (ID Screen®, Indirect Toxoplasmosis Multi-Species, IDVET, France), according to the manufacturer›s instructions. …”
Get full text

Early Antenatal Prediction of Gestational Diabetes in Obese Women: Development of Prediction Tools for Targeted Intervention. by Sara L White, Debbie A Lawlor, Annette L Briley, Keith M Godfrey, Scott M Nelson, Eugene Oteng-Ntim, Stephen C Robson, Naveed Sattar, Paul T Seed, Matias C Vieira, Paul Welsh, Melissa Whitworth, Lucilla Poston, Dharmintra Pasupathy, UPBEAT Consortium

“…Clinical and anthropometric data and non-fasting blood samples were obtained at 15+0-18+6 weeks' gestation in 1303 obese pregnant women from UPBEAT, a randomised controlled trial of a behavioural intervention. …”
Get full text

Perioperative estimations of oxygen consumption from LiDCO™plus-derived cardiac output and Ca-cvO2 difference: Relationship with measurements by indirect calorimetry in elderly pat... by Julia Jakobsson, Carl Norén, Eva Hagel, Magnus Backheden, Sigridur Kalman, Erzsébet Bartha

“…The parallelity at different perioperative stages and the prediction model can provide useful guidance and methodological tools for future studies on similar methods in larger samples.…”
Get full text

Effects of Willow Bark (Salix Extract) on Pain and Stress Following Disbudding of Organic Dairy Calves by Madison E. Bacon, Marcia I. Endres, Bradley J. Heins

“…Saliva samples and thermal images were collected 1 h before disbudding, at disbudding, and 5 min, 10 min, and every 30 min until 240 min after disbudding. …”
Get full text

Impact of a 7-day short peptide diet on gut microbiota and metabolomics in septic mice by Dan Zuo, Binyu Zuo, Liuyang Wang, Dabi Hu, Yang Yang, Yong Chen, Biao Huang

“…However, due to the limited number of experimental samples, the exact mechanism of action of short peptides awaits further confirmation.…”
Get full text

Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops. by Salah Elsayed, Hoda Gala, Mohamed S Abd El-Baki, Mohamed Maher, Ahmed Elbeltagi, Ali Salem, Abdallah Elshawadfy Elwakeel, Osama Elsherbiny, Nadia G Abd El-Fattah

“…Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameters) of mango "Succarri" and strawberry "Florida" as indicators of ripening degrees in a large area presents challenges such as low throughput, labor intensity, time consumption, and the need for multiple samples. So, using spectral reflectance-based proximal remote sensing to quickly and accurately measure biochemical parameters in different fruits is important to find the best time to harvest, make food ripen faster, and the processing of food easier. …”
Get full text

Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence by Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

“…<i>Materials and Methods</i>: This study included 219 patients diagnosed with liver cancer and 219 healthy controls. Serum samples underwent untargeted lipidomic analysis with LC-QTOF-MS. …”
Get full text

Estimation of Cation Exchange Capacity for Low-Activity Clay Soil Fractions Using Experimental Data from South China by Jun Zhu, Zhong-Xiu Sun

“…We conducted a study on 122 pedons in South China, focusing on highly weathered and strongly leached soils. Samples from the B horizon were used, and eight models and PTFs (four machine learning methods, multiple linear regression (MLR) and three PTFs from publication) were evaluated for their predictive performance. …”
Get full text

Receptor-defined subtypes of breast cancer in indigenous populations in Africa: a systematic review and meta-analysis. by Amanda Eng, Valerie McCormack, Isabel dos-Santos-Silva

“…For prospectively collected samples, the pooled proportions for ER+ and triple negative tumors were 0.59 (0.56-0.62) and 0.21 (0.17-0.25), respectively, regardless of region. …”
Get full text

Germline microRNA-based signatures predict toxicity and response to anti-CTLA-4 therapy by Joanne B. Weidhaas, Kristen M. McGreevy, Nicholas Marco, Nora Sundahl, Christopher R. Cabanski, Christine Spencer, Theresa LaVallee, Piet Ost, Donatello Telesca

“…DNA was extracted from blood samples from 77 patients treated with anti-CTLA-4 therapy and analyzed using a custom panel of mirSNPs. …”
Get full text

Blinded Validation of Breath Biomarkers of Lung Cancer, a Potential Ancillary to Chest CT Screening. by Michael Phillips, Thomas L Bauer, Renee N Cataneo, Cassie Lebauer, Mayur Mundada, Harvey I Pass, Naren Ramakrishna, William N Rom, Eric Vallières

“…The algorithm predicted discriminant function (DF) values in blinded replicate breath VOC samples analyzed independently at two laboratories (A and B). …”
Get full text

Anoikis-related biomarkers PARP1 and SDCBP as diagnostic and therapeutic targets for asthma by Li-jie Yang, Na-na Song, Ni-shan Deng, Miao-juan Zhu, Qing-qing Li, Si-si Huang, Xiu Shi, Zhen-Hong Hu, Han-Xiang Nie

“…Immune analysis revealed variations in immune cell infiltration within asthma samples correlated with hub ARDEGs. Additionally, the miRNA-TF-mRNA interaction network of hub ARDEGs highlights the complexity of the regulatory process. …”
Get full text

Analysis and validation of necroptosis-related diagnostic biomarkers associated with immune infiltration in bronchopulmonary dysplasia by Haixia Tu, Changjiang Fang, Ping Gan, Yunyun Gu, Nana Peng, Honghua Jiang, Weiwei Hou, Guihua Shu

“…We identified the biological functions and pathways of DE-NRGs. RF (random forest) and LASSO (least absolute shrinkage and selection operator) algorithms were applied to identify hub genes. …”
Get full text

The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency... by Mehmet Kivrak, Ugur Avci, Hakki Uzun, Cuneyt Ardic

“…In the data preprocessing stage, firstly, outlier/excessive observation analyses were performed with LOF and missing value analyses were performed with random forest. The SMOTE is a method for generating synthetic samples of the minority class. …”
Get full text

Indicators of the psycho-emotional status of adolescents khakassia with different online behavior by L. S. Evert, N. Yu. Grishkevich, Yu. R. Kostyuchenko, S. A. Bakhshieva

“…In the period from April to October 2021, random samples of students from 3 schools in the city of Abakan were examined in the amount of 393 people (46.3% boys and 53.7% girls) aged 12-18 years (average age 14.5±1, 3). …”
Get full text

Lactoferrin concentration in bovine milk: validation of radial immunodiffusion technique, sources of variation, and association to udder health status by Giovanni Niero, Steffi Anna Thomas, Kassiani Mouratidou, Giulio Visentin, Massimo De Marchi, Mauro Penasa, Martino Cassandro

“…The present study aimed to evaluate analytical performances of radial immunodiffusion (RID) technique for the quantification of milk lactoferrin (LF), and to investigate the main sources of variation of LF concentration in individual milk samples of Holstein Friesian (HF, n = 1516) and Simmental (SI, n = 230) cows. …”
Get full text