Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…Notably, KRR exhibited exceptional performance, achieving an R² of 0.997 on the training set and 0.992 on the test set, with a mean squared error (MSE) of 0.0004. In comparison, K-ELM and QR achieved lower R² values of 0.923 and 0.817 on the test set, respectively. …”
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Combinatorial Data‐Driven Innovation of Ecofriendly Transparent Solar Heat Control Coating for Green Buildings by Weibin Zhang, Man Kwan Law, Muhammad Bilal Asif, Jinglei Yang

“…However, many studies have focused only on TSHC coatings composed of single functional nanoparticles, and the development of these coatings traditionally relied on trial‐and‐error methods. Herein, we propose a real experimental data‐driven tandem neural networks (NNs) model, comprising spectrum NNs and inverse design NNs, for the combinatorial innovation, development, and optimization of TSHC coatings. …”
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Impact of Cloud Microphysics Initialization Using Satellite and Radar Data on CMA-MESO Forecasts by Lijuan Zhu, Yuan Jiang, Jiandong Gong, Dan Wang

“…Furthermore, the root mean square error (RMSE) of the 2 m temperature forecasts decreased across all 1–72 h lead times, with a 4.2% reduction during the 1–9 h period, while the geopotential height RMSE reductions reached 5.8%, 3.3%, and 2.0% at 24, 48, and 72 h, respectively. …”
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Development and Validation of a Methodology for Predicting Fuel Consumption and Emissions Generated by Light Vehicles Based on Clustering of Instantaneous and Cumulative Vehicle Po... by Paúl Alejandro Montúfar Paz, Julio Cesar Cuisano

“…Using data collected from 10 vehicles over 2000 h and covering altitudes from 0 to 4000 m above sea level in Ecuador, the method not only improved the accuracy of consumption predictions, reducing the margin of error by up to 10% at high altitudes, but also provided a detailed understanding of how altitude affects both consumption and emissions. …”
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Seismic Attribute Extraction and Application Based on the Gabor Wavelet Transform by Ran Xiong, Xuri Huang, Liang Guo, Xuan Zou, Haonan Tian

“…The results show that when the seismic Gabor attributes are used, the accuracy and root mean square error (RMSE) of the stratigraphic identification with the SVM, RF and XGBoost models are significantly better than those of the seismic amplitude and spectrum data only.…”
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Time-series characterization of various honey types under different storage conditions based on total polyphenol content and fluorescence properties by Takumi Murai, Teruki Tobari, Sota Kudo, Yoshito Saito

“…Partial least squares regression (PLSR) models constructed using EEM data demonstrated robust TPC prediction capability with R²cv of 0.92, root mean square error cross validation (RMSECV) of 40.66 μg gallic acid equivalent/g and residual prediction deviation (RPD) of 3.61. …”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…Integrated with an FFT-OFDM transmission system, it clearly outperforms the DCT-OFDM variant in terms of noise robustness and bit error rate reduction, paving the way for secure, high-performance communications.…”
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Assessment of operational non-time-critical Sentinel-6A Michael Freilich radio occultation data: insights into tropospheric GNSS signal cut-off strategies and processor improvement... by S. Paolella, A. Von Engeln, S. Padovan, R. Notarpietro, C. Marquardt, F. Sancho, V. Rivas Boscan, N. Morew, F. Martin Alemany

“…</p> <p>The validation of the EUMETSAT processed Sentinel-6A RO-NTC data against the European Centre for Medium-Range Weather Forecasts (ECMWF) short-range forecasts and comparisons with Metop-B/C and EUMETSAT-processed SPIRE occultations, highlights the reduction in random error and modifications in the tropospheric bias structure, a result of the enhancements in data processing techniques. …”
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Optimisation of a Cytogenetic Sample Preparation Procedure for <i>In Vivo</i> Metaphase Analysis of Mammalian Bone Marrow Cells by A. O. Verner, T. M. Ustinova, N. G. Vengerovich

“…Existing procedures for cytogenetic sample preparation require optimisation because of their time and labour intensiveness and potential for artefactual chromosome loss that leads to errors in the interpretation of analytical results.AIM. …”
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Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach by Keyao Yu, Zhigang Li

“…Five scenarios are then set up: baseline development, economic priority, green innovation, water-saving and emission reduction, and comprehensive development. These scenarios are used to simulate and predict different development paths and evaluate the impact of various key indicators on GWRE. …”
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Distribution of University Admission Quotas: Problems of Competitive Selection Process by L. M. Nurieva, S. G. Kiselev

“…The main reason for the inability of the competitive mechanism to carry out the correct ranking of participants in terms of success is the major methodological and mathematical errors inherent in the algorithms for determining the effectiveness of educational organisations. …”
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Use of AI in Mental Health Care: Community and Mental Health Professionals Survey by Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez

“…Respondents believe AI will offer future advantages for mental health care in terms of accessibility, cost reduction, personalization, and work efficiency. However, they were equally concerned about reducing human connection, ethics, privacy and regulation, medical errors, potential for misuse, and data security. …”
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Synthesis of a reversible quantum Vedic multiplier on IBM quantum computers by Mojtaba Noorallahzadeh, Mohammad Mosleh

“…Vedic multipliers offer a crucial foundation in the design and implementation of digital circuits, recognized for their speed, efficiency, ease of calculations, reduction of errors, and broad applicability. Prior investigations of quantum Vedic multipliers have faced obstacles like elevated Quantum Cost (QC), substantial Garbage Output (GO), Constant Input (CI), augmented Gate Count (GC), and CNOT-V/V+ count, resulting in more resource use and implementation intricacy. …”
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Establishing a Junior Doctor Digital Network to help implement digital transformation by Marie-Therese Angus, Ragaul Rajagopal, Vivienne MacCallum, Marten Lau

“…Introduction: Electronic prescribing systems provide advanced decision support to reduce medication errors, adverse drug interactions, and transcription mistakes.1 Thus, effective electronic prescribing is vital for enhancing patient safety and care. …”
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Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning by Islam N. Fathy, Hany A. Dahish, Mohammed K. Alkharisi, Alaa A. Mahmoud, Hala Emad Elden Fouad

“…The XGB model demonstrated the highest R2 of 0.9989, alongside the lowest prediction errors: MAE of 0.1351 MPa, RMSE of 0.1842 MPa, and MAPE of 0.48%. …”
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Assessing the factors militating against the effective implementation of electronic health records (EHR) in Nigeria by Abisola Esther BABATOPE, Idowu Peter ADEWUMI, Damola Olanipekun AJISAFE, Kayode Olayiwola ADEPOJU, Adetola Rachael BABATOPE

“…Abstract This study assessed the factors militating against the effective implementation of electronic health records (EHR) in Nigeria, the computerization of patients’ health records with a lot of benefits including improved patients’ satisfaction, improved care processes, reduction of patients’ waiting time, and medication errors. …”
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Reduced Quality of Life in Elderly Patients with Glaucoma by N. M. Agarkov, A. M. Chukhraev, O. L. Fabrikantov, N. V. Yablokova

“…In assessing the quality of life, arithmetic averages and their errors were calculated, and the nonparametric t-white criterion was used to determine the reliability of the differences.Results. …”
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Experimental Study of the Kinematics of a Double-Row Planetary Mechanism Using Two Elliptical External Gears by A. A. Prikhodko, N. N. Belina, A. V. Novitskiy, M. M. Shchetinin

“…The confidence interval of measuring errors at a reliability level of 95% was 0.16±0.08° for the first version of the mechanism, 0.57±0.22° — for the second version, and 0.08±0.26° — for the third. …”
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Digital inclusion for a sustainable future: Catalysing green economic growth by Oleksii Lyulyov, Tetyana Pimonenko, Aleksy Kwilinski

“…A baseline regression model is used to explore the relationship between digital inclusion and green economic development, which is further validated through robustness checks via Panel-Corrected Standard Errors (PCSE) and Feasible Generalized Least Squares (FGLS). …”
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Determination of long-term permissible currents in wires of power supply systems of railways by E. P. FIGURNOV, Yu. I. ZHARKOV, V. I. KHARCHEVNIKOV

“…Deviations when these indicators are taken into account by existing methods can cause errors of 40 % or more. Formulas for calculating the actual outer surface of stranded and shaped wires are given. …”
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