Use of the ReSVinet Scale for parents and healthcare workers in a paediatric emergency service: a prospective study by Pablo Vásquez-Hoyos, Jhon Camacho-Cruz, Shirley Briñez, Jorge Alvarez, Victoria Leal, Licet Villamizar Gómez

“…The Respiratory Syncytial Virus network (ReSVinet) Scale offers a version for parents that could potentially help as an early warning system.Objective To determine whether or not the ReSVinet Scale for ARI in infants can be reliably used by HCWs and parents in an emergency service.Methods A prospective study was done of infants with ARI who were admitted to a paediatric emergency room to assess the ReSVinet Scale when used by faculty (paediatric doctor-professors), residents (doctors doing their first specialty in paediatrics) and parents. …”
Get full text

Forecasting Wind Speed Using the Proposed Wavelet Neural Network by Monem A. Mohammed, Layla A. Ahmed

“…Five different performance criteria during calibration and validation, the root mean square error (RMSE), mean square error (MSE), mean absolute percentage error MAPE, mean absolute error MAE, and coefficient of determination (R2), were evaluated. When studying, analyzing, and comparing these models, the results of the study concluded that the proposed wavelet-ANN is the best result (MSE=0.00072, RMSE=0.02683, MAPE=2.32400, and  R2=0.99983.…”
Get full text

Representing Matroids over the Reals is $\exists \mathbb R$-complete by Eun Jung Kim, Arnaud de Mesmay, Tillmann Miltzow

“…The complexity class $\exists \mathbb R$ can be defined as the family of algorithmic problems that is polynomial-time is equivalent to determining if a multivariate polynomial with integers coefficients has a real root. …”
Get full text

Quantitative 3-dimensional imaging of murine neointimal and atherosclerotic lesions by optical projection tomography. by Nicholas S Kirkby, Lucinda Low, Jonathan R Seckl, Brian R Walker, David J Webb, Patrick W F Hadoke

“…<h4>Objective</h4>Traditional methods for the analysis of vascular lesion formation are labour intensive to perform - restricting study to 'snapshots' within each vessel. …”
Get full text

Transference of metals in the soil‐food chain system:   of Caspian Sea sturgeons by V. A. Chaplygin, T. S. Ershova, V. F. Zaitsev

“…Identification of metal transference characteristics in components of the ecosystem of the north‐western part of the Caspian Sea.   Material and Methods. Sampling was carried out according to generally accepted  methods and the determination of heavy metals was carried out by atomic absorption spectroscopy using an atomic absorption spectrometer with electro‐thermal  atomization MGA‐915 MD.   …”
Get full text

Corporate Social Responsibility: Completeness and Transparency of Information by M. V. Melnik, M. T. Velikhanov

“…Methods for determining social responsibility in individual countries are analyzed. …”
Get full text

QUANTIFICATION OF HYDRAULIC CHARACTERISTICS OF SWELLING MATERIAL by Boris Kavur, Jasmin Jug, Biljana Kovačević Zelić, Ivan Vrkljan

“…This paper presents a laboratory and numerical study to determine three hydraulic characteristic curves of a swelling material (soil or rock) in which montmorillonite is the predominant type of mineral. …”
Get full text

Evaluation of Clinical Benefits of IoT Device Solutions in Operating Rooms by Jing ZHANG, Yang LIU, Qiangtian CHEN, Jidong ZHANG

“…Methods A comparative experiment was conducted between operating rooms with the implementation of IoT device solutions and those without. …”
Get full text

Prediction of the Spatial Distribution of Petrophysical Properties of Sediment Formations Using Multidimensional Splines by V. V. Lapkovsky, V. A. Kontorovich, K. I. Kanakova, S. E. Ponomareva, B. V. Lunev

“…Comparing the obtained forecast with the real, unknown values of the modeled variable at the time of its implementation showed a high quality model with determination coefficients up to 0.9.…”
Get full text

Knowledge embedding and interpretable machine learning optimize comprehensive benefits for water treatment by Yu-Qi Wang, Wenchong Tian, Hao-Lin Yang, Yun-Peng Song, Jia-Ji Chen, Qiong-Ying Xu, Wan-Xin Yin, Le-Qi Ding, Xi-Qi Li, Han-Tao Wang, Ai-Jie Wang, Hong-Cheng Wang

“…Random forest (RF) has the best performance among the eight methods with a percentage error of 2.53% and a coefficient of determination of 0.9922. …”
Get full text

TECHNICAL DIAGNOSTICS AT RUP “BMZ” by A. A. Kuzembajev

“…The review of technical diagnostics and crack detection at RUP “BMZ” is given in the article and there are reflected the functions and tasks of the Laboratory of Technical Diagnostics and Crack detection (LTDandC). The examples of determination of the equipment failure by methods of vibration diagnostics, applied in LTDandC, are given and the efficiency of using of the system of technical servicing of the equipment according to “state” is shown. …”
Get full text

THE USE OF NEURAL NETWORKS FOR THE AUTOMATIC ANALYSIS OF ELECTROCARDIOGRAMS IN DIAGNOSIS OF CARDIOVASCULAR DISEASES by G. I. Kachayeva, A. G. Mustafayev

“…These data are then used to determine any heart defects or pathologies. However, automatic ECG analysis remains a challenging theoretical and practical task.MethodsA MATLAB 8.6 (R2015b) Neural Network Toolbox was used to simulate artificial neural networksduring the design. …”
Get full text

Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data by Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima

“…The Spearman’s correlation coefficients ranged from 0.54 to 0.86. The model outperformed other methods, especially for R² scores and residual standard deviations, demonstrating its superior ability to predict actual vital signs values. …”
Get full text

Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…Among the 4 models, model IBE exhibited the best performance, achieving the coefficient of determination of 0.72, with mean absolute error, mean absolute percentage error, and root-mean-square error values of 0.33, 15.9%, and 0.43, respectively, in the test set. …”
Get full text

Correlation between the upper airway volume and Ricketts’ facial biotypes: a cone-beam computed tomography study by Ana Rita Carvalho, Maria Cristina Figueiredo Pollmann, Eugénio Joaquim Pereira Martins

“…The Pearson correlation coefficient was used to determine the correlation between the variables α=0.05). …”
Get full text

Effect of the Independent Acid Base Variables on Anion Gap Variation in Cardiac Surgical Patients: A Stewart-Figge Approach by Michalis Agrafiotis, Ilias Keklikoglou, Sofia Papoti, George Diminikos, Konstantinos Diplaris, Vassileios Michaelidis

“…According to the standardized coefficients (β),  SIGvar (β = 0.948, P<0.001), [Albumin]var (β = 0.260, P<0.001), and [Phosphate]var (β = 0.191, P<0.001) were the major determinants of AGvar with lesser contributions from SIDa, var (β = 0.071, P<0.001) and PCO2, var (β = −0.067, P<0.001). …”
Get full text

Assessing Classification Accuracy as a Criterion for Evaluating the Performance of Seven Topographic Correction Algorithms in the Trinidad Mountains, Cuba by Minerva Sánchez-Llull, Laura Castellanos Torres, Alain Muñoz Caravaca, Gustavo Martín Morales, Sabine Sauvage, Yeleny Zulueta-Véliz, Eugenio Jesús Olalde Chang, Julio León Cabrera, Leosveli Vasallo-Rodríguez, Sylvain Ouillon, José-Miguel Sánchez-Pérez

“…This study aims to validate the effectiveness of seven topographic correction methods using classification accuracy as a criterion. …”
Get full text

DEVELOPMENT OF EXPORT SERVICES RENDERED BY BELARUS TRANSPORT by A. A. Kossovsky, I. D. Antioushenia

“…Belarus is the most important communication corridor between European countries that creates the required conditions for export development of transport services.The authors reveal deterrents concerning an increase of service export volume, prepare well-reasoned conclusion that there are  significant reserves for higher efficiency of transport industry activity. In order to use these reserves it is necessary to direct efforts for searching rational ways to solve the problems including application of  logistics methods.…”
Get full text

Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction by Neeti Sangwan, Vishal Bhatnagar

“…A significant improvement with a 50% reduction in MAE and a 0.61% increase in the coefficient of determination (R²) has been observed by the proposed Multi branch LSTM encoded features with a fused deep learning predictor (MLEF-DL predictor) when compared to existing methods.…”
Get full text

Evaluating the reliability and validity of the Turkish version of the Parents’ Perceptions of Uncertainty Scale (PPUS-TR) by Melike Ayça Ay Kaatsız, Simay Ezgi Budak

“…Methods: Data were collected from 351 parents. Data collection tools included the Descriptive Data Form, PPUS, and the Brief Symptom Inventory (BSI). …”
Get full text