Development Instrument Penelitian Peran Serta Ibu hamil dalam Upaya Ayah Berhenti Merokok untuk Pencegahan Stunting melalui Pendekatan Model Kepercayaan Kesehatan: Uji Validitas da... by Nur Rohmah, Maya marinda, Ike Anggraeni

“…In addition, the reliability of the seven variables was assessed using Cronbach's alpa coefficient, which yielded values above 0.7. …”
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Utilizing machine learning for predictive maintenance of production machinery in small and medium enterprises by Yopa Eka Prawatya, Noveicalistus H Djanggu, Ratih Rahmahwati

“…The random forest model excels due to its utilization of a substantial number of trees for predictions and the full exploitation of the variables which F1-score is 91.22%. The best-performing model is subsequently deployed into a monitoring system, providing real-time machine condition predictions. …”
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FUTURE TRENDS IN MILK FAT CONTENT: A FIVE-YEAR FORECAST FOR ROMANIA AND THE EUROPEAN UNION by Raluca-Aniela GHEORGHE-IRIMIA, Dana TĂPĂLOAGĂ, Cosmin ȘONEA, Paul-Rodian TĂPĂLOAGĂ, Silviu-Ionuț BEIA

“…The regression model adequately explains 90.81% of the observed variability. The predictive model exhibited a notable level of precision, as indicated by the low Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) values, which suggest a small disparity between the anticipated and observed values.Similarly, throughout the European Union, the milk fat content shown a more prominent and consistent increase, as indicated by the regression model which accounted for 99.16% of the variation. …”
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Predicting the compressive strength of rubberized concrete incorporating brick powder based on MLP and RBF neural networks by David Sinkhonde, Destine Mashava, Tajebe Bezabih, Derrick Mirindi

“…However, regardless of the algorithm used, the R2 and adjusted R2 values are higher than 0.75. Results on Pearson’s r values greater than 0.85 illustrate higher predictive abilities of the neural networks. …”
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Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues by Martial Guillaud, Dennis Cox, Anais Malpica, Gregg Staerkel, Jasenka Matisic, Dirk Van Niekirk, Karen Adler‐Storthz, Neal Poulin, Michele Follen, Calum MacAulay

“…The use of the internal subset decreased the image acquisition time by ∼50% at each center, respectively. The intra‐ and inter‐observer variability was of a similar size. …”
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Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism by Adel Binbusayyis, Mohemmed Sha

“…In the beginning, data pre-processing addresses missing values and performs feature scaling for normalizing independent variables. …”
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Adsorption removal of anthocyanins from red cabbage extracts by bentonite: statistical analysis of main and interaction effects by L. M. Soldatkina, V. O. Novotna

“…Main and interaction effects were analysed using of variance (ANOVA), F-test and P-values to define most important process variables affecting the anthocyanin adsorption. …”
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Distribution patterns of gas content in Vorobyov deposits within the southern dip of the Buzuluk depression by D. D. Mikhalchenko, P. N. Strakhov, G. N. Potemkin, I. D. Loginov

“…Methods of structural and geological analysis, comparison of the gas content and the tectonic position of deposits are applied.Results. The values of the gas content of the Vorobyovsky horizon oil deposits (formation DIV) within the southern and central parts of the Buzuluk depression demonstrate significant variability. …”
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Use of Caffeine and Inducing Parturition with Dual Administration of Prostaglandin F2α in Gilts and Its Effect on Neonatal Vitality and Performance at Birth by Adrián Alejandro Corrales-Hernández, Herlinda Bonilla-Jaime, Héctor O. Orozco-Gregorio, Ofelia Limón-Morales, Luis Alberto de la Cruz-Cruz, Elías Chávez-Delgadillo, Patricia Roldán-Santiago

“…PGF2α FD had the lowest neonate performance and metabolic variables. Inducing birth with PGF2α SD is more efficient, and adding caffeine improves the performance and metabolic variables of piglets born from primiparous sows.…”
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Hematochemical hallmarks as markers of pulmonary TB severity: A multicenter cross-sectional study by Francesco Di Gennaro, Giacomo Guido, Sergio Cotugno, Francesco Cavallin, Mariantonietta Pisaturo, Lorenzo Onorato, Federica Zimmerhofer, Luca Pipitò, Giuseppina De Iaco, Giuseppe Bruno, Massimo Fasano, Agostina Pontarelli, Annarita Botta, Tiziana Iacovazzi, Rossana Lattanzio, Virginia Di Bari, Gianfranco Panico, Raffaella Libertone, Caterina Monari, Alessia Musto, Mariangela Niglio, Federica De Gregorio, Gaetano Brindicci, Carmen Rita Santoro, Luigi Ronga, Roberta Papagni, Elda De Vita, Francesco Rosario Paolo Ieva, Loredana Alessio, Gina Gualano, Salvatore Minniti, Giovanni Battista Buccoliero, Sergio Lo Caputo, Sergio Carbonara, Antonio Cascio, Roberto Parrella, Fabrizio Palmieri, Nicola Coppola, Annalisa Saracino

“…Results: Of the patients, 30.3 % were classified as severe, 60.2 % as non-severe, and 9.5 % as uncertain. AUC values for predicting severe TB ranged from 0.51 to 0.56 across hematological variables. …”
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Mountain Landslide Monitoring Using a DS-InSAR Method Incorporating a Spatio-Temporal Atmospheric Phase Screen Correction Model by Shipeng Guo, Xiaoqing Zuo, Jihong Zhang, Xu Yang, Cheng Huang, Xuefu Yue

“…The density of DS points was approximately eight times and five times higher than persistent scatterer interferometry and small baseline subset methods, respectively. (2) The proposed Prophet_ZTD-NEF model considers the spatial and temporal variability properties of tropospheric delays, and the root mean square error of measured values was approximately 1.19 cm instead of 1.58 cm (PZTD-NEF). (3) The proposed Prophet_ZTD-NEF method reduced the mean standard deviation of the corrected interferograms from 1.88 to 1.62 cm and improved the accuracy of the deformation velocity solution by approximately 8.27% compared to Global Position System (GPS) measurements. …”
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UV Map Nowcasting and Comparison with Ground-Based UV Measurements for the DACH Region by Barbara Klotz, Regine Gradl, Verena Schenzinger, Michael Schwarzmann, Josef Schreder, Sebastian Lorenz, Julian Gröbner, Gregor Hülsen, Axel Kreuter

“…The primary objective is to improve public health measures by providing timely and area-wide UV Index values. The UV Index maps are based on clear-sky calculations using data from the Copernicus Atmosphere Monitoring Service. …”
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Trends of Extreme Precipitation Events in Serbia Under the Global Warming by Ivana Tošić, Antonio Samuel Alves da Silva, Lazar Filipović, Milica Tošić, Irida Lazić, Suzana Putniković, Tatijana Stosic, Borko Stosic, Vladimir Djurdjević

“…This paper examines extreme precipitation events (EXPEs) and their trends based on daily precipitation values observed at 14 stations in Serbia for the period 1961–2020. …”
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Assessing the Impact of Nigerian Seaports’ Operational Performance on the Construction Sector’s Contribution to GDP by Ismail Gbolahan Dere, Joel Ademola Ojekunle

“…In contrast, inefficiencies represented by prolonged Turnaround Time (LnTAT) and Waiting Time (LnWT) had negative effects on GDP, with β-values of −0.178 and −0.098, respectively (p < 0.05). …”
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Climate change in the Ak-Shiyrak massive area and its impact on glaciers by Yu. A. Podrezova, I. A. Pavlova

“…In addition, for the practical use, we calculated climatic values of the temperature and precipitation for different standard time intervals within the period under investigation. …”
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Technologization and Economic Transformation: The Influence of Technology Adoption in Reducing the Shadow Economy and Increasing Welfare by Lavinia Mastac, Diane Paula Corina Vancea

“…Three linear regressions are performed following the update of the TAI values and the trends of the variables are compared. …”
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Study on lateral stability control of carrier-based aircraft towbarless tractor system by Jiyan Qi, Haoyang Xu, Ming Su

“…The yaw rate of the tractor and the lateral speed of the carrier-based aircraft are selected as variables, the lateral stability controller is designed using sliding mode control (SMC) theory and the compensation torque and lateral force required for the lateral stability control of the traction system are obtained, thereby achieving tracking of the ideal values. …”
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Public Investments and Forecasting in Renewable Energy Technologies: A Comparative Analysis Using ARIMA and GARCH Models by Bhanu Sharma, Chandra Prakash, Bijesh Dhyani, Chirag Joshi

“…Both the models utilized univariate time series data to observe the temporal trends behavior purely based on past investment values without any external variables. …”
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Observed evolution of global climate change hotspots by Zhuoya Du, Xuchou Han, Fei Ji, Zhenhao Xu, Xiaodan Guan, Jianping Huang

“…This study introduces a novel dynamical climate change hotspot index standard Euclidean distance, capturing variations in temperature and precipitation through average, variability, and extreme values, and utilizes ensemble empirical mode decomposition to analyze nonlinear long-term trends globally. …”
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Modelling potential impacts of climate change on the oak spatial distribution (Case study: Ilam and Lorestan provinces) by Mohammad Safaei, Hani Rezayan, Parviz Zeaiean Firouzabadi, Ali asghar Torahi

“…For this purpose, five regression-based and machine learning approaches, four climatic variables related to temperature and precipitation and two optimistic (RCP 2.6) and pessimistic (RCP 8.5)  greenhouse-gas scenarios were used. …”
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