Machine learning approaches for identifying and predicting voltage conditions in power system networks using network topology behavior input formulation by Tolulope David Makanju, Oluwole John Famoriji, Ali N. Hasan, Thokozani Shongwe

“…However, the widespread deployment of sensors across distribution networks enhances system visibility and enables the development of advanced voltage control strategies. These control methods depend on accurate voltage condition predictions to anticipate violation scenarios. …”
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Prevalence and factors associated with false hyperkalaemia in Asians in primary care: a cross-sectional study (the Unlysed Hyperkalaemia- the Unseen Burden (UHUB) study) by Ngiap Chuan Tan, Alicia Ying Ying Boo, Yi Ling Eileen Koh, Pei Lin Hu

“…Objective We aimed to determine the prevalence of unlysed false hyperkalaemia and the factors associated with false-and-true-hyperkalaemia.Setting Outpatients in a cluster of public primary care clinics (polyclinics) in Singapore.Participants All patients of any ethnicity aged ≥21 with serum potassium test done.Methods Electronic health records of index patients with potassium >5.5 mmol/L and its corresponding laboratory processing time in seven local polyclinics were reviewed between August 2015 and August 2017. …”
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Effect of Meteorological Conditions on Storability of the Scab-Immune Columnar Apple Varieties by Nikitin A., Makarkina M.

“…Study objects and methods. The research featured preservation capacity of five new scab-immune columnar apple varieties cultivated at the All-Russian Research Institute for Fruit Crop Breeding (Orlov Region, Russia), namely ‘Vostorg’, ‘Zvezda’ ‘Efira’, ‘Poezia’, ‘Priokskoye’, and ‘Sozvezdiye’. …”
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Assessment of relationship between chickpea genotypes from ICARDA with a western Iranian landrace (Bivanij) by farhad Nazarian Firouzabadi, Mahin Rahimi, Ahmad Ismaili

“…Cluster analysis using Dice coefficient of similarity and UPGMA (r=0.98) method based on polymorphic fragments, grouped all eighteen genotypes into 6 groups with 77% accuracy. …”
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Removal of trihalomethanes from activated Napier grass-derived adsorbent using liquefied gas and chemical pretreatment by S. Sriboonnak, A. Wongrueng, P. Rakruam, S. Nitayavardhana, P. Sittisom, A. Siyasukh, P. Induvesa, B. Sawangjang, S. Takizawa

“…The nitrogen adsorption-desorption method used for examining pore structure revealed a predominance of micropores compared to mesopores. …”
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The Analysis of Driving Factors of Farm Land Equipment to Sprinkler Irrigation Systems (Case Study: the Villages of Ravansar Township) by Jafar Tavakoli, Davoud Jamini

“…The main research tool is a researcher-made questionnaire, whose validity, reliability and Cronbach's alpha coefficient were confirmed by university professors and relevant experts Wilcoxon test has been used to determine the effects of sprinkler irrigation systems on the farmers’ activities. …”
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Small fiber damage in patients with chemo-induced polyneuropathy by O. A. Tikhonova, D. S. Druzhinin, O. P. Tuchina, A. V. Vinogradova, S. A. Doktorova, M. I. Dolgaleva, A. M. Tynterova

“…Skin biopsy is a validated method for determining intraepidermal nerve fiber density and can be considered for the diagnosis of distal sensory neuropathy, especially small fiber neuropathy. …”
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Cálculo de estructuras para semirremolques de pasajeros de grandes dimensiones // Calculation of structures for semi - trailers of large dimensions using in passengers transportati... by L Otero Pereiro, C. Novo Soto, M. Fernández Salgado

“…<br />It was accomplished the experimental determination of the dynamic load coefficient, as well as the establishment of the physic<br />- mathematical model adapted for the calculation of the structure of a semi - trailer for passengers transportation applying the<br />Finite Elements Method.…”
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Ensemble Learning-Driven and UAV Multispectral Analysis for Estimating the Leaf Nitrogen Content in Winter Wheat by Yu Han, Jiaxue Zhang, Yan Bai, Zihao Liang, Xinhui Guo, Yu Zhao, Meichen Feng, Lujie Xiao, Xiaoyan Song, Meijun Zhang, Wude Yang, Guangxin Li, Sha Yang, Xingxing Qiao, Chao Wang

“…Model performance was evaluated using the coefficient of determination (R²) and root mean square error (RMSE). …”
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Optimization of Pyrocatechol and p-Cresol adsorption onto a composite of Chitosan and polyacrylamide incorporated with zeolitic imidazolate Framework-8 by Chou-Yi Hsu, Ebraheem Abdu Musad Saleh, M. M. Moharam, Mohammad Y. Alshahrani, Sandeep Singh, Aditya Kashyap, T. Krithiga, Parul Chaudhary, Nezamaddin Mengelizadeh, Davoud Balarak

“…Quadratic models with a coefficient of determination (R2) of 0.99 (p < 0.0001) were statistically compared. …”
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Efficient field correction of low-cost particulate matter sensors using machine learning, mixed multiplicative/additive scaling and extended calibration inputs by Slawomir Koziel, Anna Pietrenko-Dabrowska, Marek Wojcikowski, Bogdan Pankiewicz

“…In this work, we introduce a novel approach to field calibration for cheap PM sensors. Our method integrates multiplicative and additive corrections, with coefficients determined by an artificial neural network (ANN) surrogate. …”
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Monitoring <i>Eichhornia crassipes</i> and <i>Myriophyllum aquaticum</i> in Irrigation Systems Using High-Resolution Satellite Imagery: Impacts on Water Quality and Management Stra... by Susana Ferreira, Juan Manuel Sánchez, José Manuel Gonçalves, Rui Eugénio, Henrique Damásio

“…All three vegetation indices exhibited significant linear regressions with pH, with the EVI showing the highest coefficient of determination (R² = 0.761), followed by the NDVI (R² = 0.726) and GCI (R² = 0.663), with <i>p</i>-values and ANOVA <i>p</i>-values below 0.05. …”
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Adsorption-induced negative carbon isotope sequence in over-mature coal-type gas from the southwest Ordos Basin by Xiaoming Wu, Qiang Meng, Haiwei Zhu, Heng Zhao, Yu Xiao, Zhuo Guo, Mengting Zhang, Liyu Liu, Luxing Dou, Zhigang Wen

“…Furthermore, the δ 13C2−δ 2H1 cross-plot method, used for determining the type of source rock, is rendered ineffective because over-mature samples deviate from the coal-type gas range. (3) The methane carbon isotope signature (δ 13C1) and gas dryness coefficient (C1/C1–5) are reliable indicators of source rock maturity.…”
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Modeling of Tilting-Pad Journal Bearings with Transfer Functions by J. A. Vázquez, L. E. Barrett

“…A recursive algorithm is developed and presented for calculating the coefficients of the polynomials. The method is applied to stability calculations for a model of a typical industrial compressor.…”
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Developing a novel artificial model to predict the foaming properties and β-carotene content of lucuma (Pouteria lucuma) during foam-mat drying and process optimization by Nguyen Minh Thuy, Le Thi Thuy Duong, Tran Ngoc Giau, Hong Van Hao, Vo Quang Minh, Ngo Van Tai

“…The ANN-coupled BBD model structure of 3–10-3 demonstrated a high level of accuracy in predicting the impact of foaming formulation on responses, with a coefficient of determination exceeding 0.99. The optimal conditions by stimulation multiple-objective RSM for lucuma foam-mat drying were achieved with a water:lucuma ratio, EA, and XG of 2.53:1, 10.8 %, and 0.22 %, respectively. …”
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Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects by Nandito Davy, Ammar El-Husseiny, Umair bin Waheed, Korhan Ayranci, Manzar Fawad, Mohamed Mahmoud, Nicholas B. Harris

“…Our optimized models achieved R2 (coefficient of determination) of 0.89 and RMSE (root-mean-square error) of 0.47 for TOC predictions and 0.90 and 34.8 for hardness predictions, reducing RMSE by up to 13.52% compared to the unconstrained model. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…In the analysis of larval weight prediction, a coefficient determination (R2) of up to 0.80 between measured and predicted weight was achieved using the morphometric weight prediction approach, along with an R2 of 0.71 through the CNN-regression approach. …”
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Experimental Study on Stress Uniformity and Deformation Behavior of Coals with Different Length-to-Diameter Ratios under Dynamic Compression by Qiupeng Yuan, Guangxiang Xie, Lei Wang, Zhenhua Jiao, Peng Zou, Huaiqian Liu, Naseer Muhammad Khan

“…This study researched the stress uniformity and deformation behavior of coal samples with different L/D ratios during dynamic compression, defined the stress equilibrium coefficient ξ, proposed a new method for determining whether a sample meets the stress uniformity hypothesis, and obtained the critical L/D ratio of 0.6 and the optimal L/D ratio of 0.3 or 0.4 for coal samples to obtain the stress equilibrium. …”
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Development of a Predictive Model Linking Electrical Characteristics to Semi-Lethal Temperature in Potted Apple Trees with Validation on Mature Specimens by Bo Sun, Shuaiyang Wu, Xiaohang Nie, Linguang Jia, Xueying Zhang, Ji Qian

“…The results showed the following: (1) Six electrical parameters (<i>r</i>₁, <i>r_e</i>, <i>r</i>, <i>Min</i>, <i>Std</i>, <i>and Peak</i>) were significantly correlated with LT50 (<i>p</i> < 0.05) and made major contributions to the first principal component (PC1), confirming their status as optimal indicators of cold tolerance. (2) A regression model for predicting LT50 was established using these parameters, achieving a coefficient of determination (R²) of 0.9187, indicating excellent model fit. (3) Model validation yielded R² values of 0.9323 and 0.9999, MAE values of 1.243 and 0.900, MAPE values of 6.64% and 4.02%, and RMSE values of 1.29 and 1.12, respectively. …”
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Association and binding nature of sodium dodecyl sulfate with ofloxacin antibiotic drug in potassium-based electrolyte solutions: a conductometric and UV–Visible spectroscopic inve... by Bulbul Ahmed, Tajmul Hasan, Kamrul Hasan, Javed Masood Khan, Dileep Kumar, Shamim Mahbub, Md Abdul Goni, Md. Anamul Hoque

“…Moreover, UV–Visible spectroscopic technique was used to determine various significant parameters including binding constant (K b ), partition constant (K c ), partition coefficient (K x ), Gibbs energy of binding (ΔG b ), and Gibbs energy of partition (ΔG p ) for the mixtures of NaDS and OFC in aqueous and aq. salt solutions, where the corresponding findings were reported rationally. …”
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