Diagnostic Role of Plasma MicroRNA-21 in Stable and Unstable Angina Patients and Association with Aging by Md Sayed Ali Sheikh

“…Total RNA was extracted from plasma by using miRNA-based TRIzol reagent. Plasma miR-21 expression levels were determined by real-time polymerase chain reaction. …”
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Antibiotic Resistance of Salmonella enterica Serovar Typhi in Kolkata, India, and In Vitro Experiments on Effect of Combined Chemotherapy by Shyamapada Mandal, Manisha DebMandal, Nishith Kumar Pal

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Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques by Nang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, Van-Hai Nguyen

“…Indeed, ANN trained by PSO delivered better performance in terms of RMSE, MAE, ErrorStD, R2 and Slope in comparison to ANN trained by SCG, for instance. …”
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Concurrent validity of a new screening test to evaluate the information processing speed by Camila Fernanda Cabrera Zavala, Oscar Agustín Porta, Alén Martín, Edison Vega Valderrama, María del Rosario Lis, Wilson Gualotuña Pachacama, Diana Soto

“…Results: The media of time use in the ACT was 12.3 s; the media of hits in the DS-T was 38.8, with a p<0.0001 and R2: 0.40. Conclusion: P-value showed a linear association between the two tests, but the R2 results showed a low association between these. …”
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A Comparative Study of Hybrid Adaptive Neuro-Fuzzy Inference Systems to Predict the Unconfined Compressive Strength of Rocks by Annabelle Graham, Emma Scott

“…Performance indices such as R2, RMSE, NMSE, MAE, and n_10 index were used to assess the predictive capability of models indicating that ANAS with maximum  ÿ R2all=0.987 and minimum RMSEall=3.103, has the most optimal prediction performance for practical applications.…”
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Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm by Van Quan Tran

“…Performance criteria for ML models include the coefficient of correlation R2, root mean square error (RMSE), mean absolute percentage error (MAPE), and mean absolute error (MAE). …”
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Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

“…Our Random Forest regressor built using default parameters achieved a correlation coefficient (R) of 0.78, R2 of 0.59, and RMSE of 0.53 on the validation set. …”
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Estimation of Ultimate Bearing Capacity in Rock-Socketed Piles Using Optimized Machine Learning Approaches by Ali Hassan, Hamza Rashid

“…Moreover, the implemented method is assessed against the results obtained from experiments by some evaluators including R2, RMSE, RSR, MAE, WAPE, and SI. Of these models, the NBIG model emerges as a standout performer, boasting remarkable R2 value of 0.993 (lower than 1% enhanced performance compared to NBAH) and an ideal RMSE of 1381.3 (about 16% lower than that of NBAH) during the training phase. …”
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Determination of Biological Nitrogen Fixation Induced N2O Emission from Arable Soil by Using a Closed Chamber Technique by Ambreen Shah

“…N2O fluxes significantly increased with high dissolved organic carbon content (70.77  ±  3.99  mg L−1) at R3 and at R8 stages when NO3- (39.60  ±  0.94 mg L−1) concentrations were high.…”
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On quasi-ideals of semirings by Christoph Dönges

“…If S is an arbitrary semiring, we prove that for (O−)minimal left and right ideals L and R of S the product 〈RL〉⫅L⋂R is either {O} or a canonical quasi-ideal of S (Thm. 3.9). …”
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Preparation of Rangeland vegetation cover map and monitoring its changes in drought and wet periods using NDVI MODIS product (Case Study: Southern Rangelands of Yazd Province) by Hadi Zare khormizie, Hamid Reza Ghafarian Malamiri

“…According to the results, the NDVI index has a good ability to map vegetation cover, so the coefficient of determination (R2) between this index and the sample points was 0.71. …”
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Changes in Corticospinal Tract Consistency after Dry Needling in a Stroke Patient by Masoome Ebrahimzadeh, Noureddin Nakhostin Ansari, Iraj Abdollahi, Behnam Akhbari, Jan Dommerholt

“…The primary outcome measures included fractional anisotropy (FA), asymmetry FA (aFA), ratio FA (rFA), and Modified Modified Ashworth Scale (MMAS). …”
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Comparative evaluation of TNM staging systems (eighth vs. ninth edition) for the non-surgical treatment of localized and locally advanced anal squamous cell carcinoma: Prognostic s... by Aihong Zheng, Hong'en Xu, Yiming Tao, Bingchen Chen, Jieni Ding, Tao Song, Yanwei Lu

“…In the correlation analysis, we observed an increased correlation between T classification and TNM staging systems (r value increased from 0.78 to 0.93) and a decreased correlation for the LN status (r value decreased from 0.83 to 0.59). …”
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Genetic Variations of Cytokines and Cytokine Receptors in Psoriasis Patients from China by Xiao-Lan Li, Chun-Feng Wu, Gui-Sheng Wu

“…We genotyped seven single-nucleotide polymorphisms (SNPs) in candidate genes of six ILs: IL4, IL10, IL12B, IL13, IL15, and IL23R, which have been shown in the literature to be associated with psoriasis in other ethnic groups. …”
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Synthesis and mechanical characterization of hydroxyapatite-based biomaterials reinforced with nickel-titanium-magnesium alloys for use in cortical bone implants by Refugio-García María E., Miranda-Hernández José G., Gallardo-Mendez Marco A., Vázquez-Huerta Gerardo, Rodríguez-García José A., Rocha-Rangel Enrique

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'Medical Minds and Machine Learning': Awareness and Opinions on Artificial Intelligence in Healthcare among Undergraduate Medical Students of a Tertiary Care Institute of Kolkata,... by Pattanayak Shalini, Basu Mausumi, Sinha Debasish, Kerketta Prince

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Growth and Anatomical Parameters of Adventitious Roots Formed on Mung Bean Hypocotyls Are Correlated with Galactoglucomannan Oligosaccharides Structure by K. Kollárová, I. Zelko, M. Henselová, P. Capek, D. Lišková

“…The effect of galactoglucomannan oligosaccharides (GGMOs) compared with chemically modified oligosaccharides, GGMOs-g (with reduced number of D-galactose side chains) and GGMOs-r (with reduced reducing ends) on mung bean (Vigna radiata (L.) …”
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Methylene Blue Adsorption BY UV-Treated Graphene Oxide Nanoparticles (UV/n-GO): Modeling and Optimization Using Response Surface Methodology and Artificial Neural Networks by M. Venkata Ratnam, Manikkampatti Palanisamy Murugesan, Srikanth Komarabathina, S. Samraj, Mohammedsani Abdulkadir, Muktar Abdu Kalifa

“…A three-layer backpropagation network with an ideal structure of 4-4-1 was used to create an ANN model. The R2 and MSE values determined by comparing the modelled data with the experimental data were 0.9572 and 0.00012, respectively. …”
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Genetic variability, heritability and genetic advance in chrysanthemum (Dendranthema grandiflora) genotypes evaluated for loose flower production by K. Vandana1*, V. Vijaya Bhaskar2, A.V.D. Dorajeerao3, P. Subbaramamma4, M. Paratpara Rao5 and V. Sekhar6

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A study of the effect of Mn on the precipitation and phase transition of nanoscale Cu-rich phase in Fe–Cu alloys by phase-field method by Mingguang Wei, Tongguang Zhai, Yong Xu, Yingming Tu, Haisheng Han

“…Furthermore, as the Mn content increases, the incubation time required for α-Cu phase to transform into the 9R phase was increased, while the critical radius for the transformation of α-Cu precipitates into 9R phase was decreased.…”
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