FORECASTING AND DECISION-MAKING VIA USE OF STATISTICAL LAWS OF RANDOM ECONOMIC INDICATORS by Victor A. Vlasov, Sergey I. Alexeev, Raisa I. Soroka, Andrey O. Tolokonski

“…The article shows that the estimation (forecasting) of the values of random variables, according to the minimum variance estimation error is not always effective, and sometimes not even possible. …”
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Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum] by Simfukwe C, An SSA, Youn YC

“…The authors apologize for this error.…”
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Research of relationship between CT and pH value for Fushi apple by ZHANG Jing-ping, LIU Kong-xuan, WANG Hui

“…The result shows that it was significant linear correlation between the CT and pH value, and average error of the model was 0.11%. It was suggested that the method treated by CT image is feasible in prediction of acidity.…”
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Microstructural characterization and hardness prediction of AlCuCrFeNi high entropy alloys using Transformer-based Physics-Informed Neural Networks (T-PINN) by Mohamed Yasin Abdul Salam, Enoch Nifise Ogunmuyiwa, Victor Kitso Manisa, Abid Yahya, Irfan Anjum Badruddin

“…The T-PINN model demonstrated high accuracy, with a Root Mean Square Error (RMSE) - 0.048, Mean Absolute Error (MAE) of- 0.036, and R-square (R2) - 0.97 values, respectively. …”
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An improved distance vector-Hop localization algorithm based on coordinate correction by Xing Wang, Yunfeng Nie

“…Coordinates correction-distance vector-Hop defines the pseudo-range error factor to improve the accuracy of average hop distance. …”
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Joint channel and impulsive noise estimation method for OFDM systems by Xinrong LYU, Youming LI, Mingchen YU

“…Aiming at the impulsive noise occurring in OFDM systems,an impulsive noise mitigation algorithm based on compressed sensing theory was proposed.The proposed algorithm firstly treated the channel impulse response and the impulsive noise as a joint sparse vector by exploiting the sparsity of both them.Then the sparse Bayesian learning framework was adopted to jointly estimate the channel impulse response,the impulsive noise and the data symbols,in which the data symbols were regarded as unknown parameters.Compared with the existing impulsive noise mitigation methods,the proposed algorithm not only utilized all subcarriers but also did not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed algorithm achieves significant improvement on the channel estimation and bit error rate performance.…”
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PCA clustering algorithm for indoor positioning in WLAN by Mingji YANG, Kaiyi LIU, Dan SHAO

“…In WLAN indoor location system,aiming at the problem of time-varying characteristic of received signal strength (RSS) which reduces indoor positioning accuracy,a clustering algorithm based on principal component analysis (PCA) albino RSS was put forward.The algorithm firstly treated the RSS with PCA whitening treatment to remove the correlation and improve reliability and rationality of the cluster centers.Then,K-means clustering method was used to cluster the RSS and the clustering accuracy was improved effectively,so as to improve positioning accuracy.Experimental results show that compared with the traditional clustering algorithm without PCA,probability of positioning error within 2 meters has improved 44.8% in positioning accuracy,and the performance of positioning system has been more excellent.…”
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Predictive model for the corrosion inhibition of mild steel in 1.5 M HCl by the leaf-juice of Carica papaya by Ndukwe Agha Inya, Ihuoma Samson Onyedikachi, Chiedoziem Akuwudike, Oluehi Daniel Onyedikachi, Akaneme Frank Arinze, Chibiko Emmanuel Uchenna

“…It was noted that the prediction of the experimental corrosion rate by the artificial neural network offered a lesser error in comparison with that obtained by multiple regression according to the error margin obtained after the prediction of the experimental corrosion rate.…”
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Can Emotional and Behavioral Dysregulation in Youth Be Decoded from Functional Neuroimaging? by Liana C L Portugal, Maria João Rosa, Anil Rao, Genna Bebko, Michele A Bertocci, Amanda K Hinze, Lisa Bonar, Jorge R C Almeida, Susan B Perlman, Amelia Versace, Claudiu Schirda, Michael Travis, Mary Kay Gill, Christine Demeter, Vaibhav A Diwadkar, Gary Ciuffetelli, Eric Rodriguez, Erika E Forbes, Jeffrey L Sunshine, Scott K Holland, Robert A Kowatch, Boris Birmaher, David Axelson, Sarah M Horwitz, Eugene L Arnold, Mary A Fristad, Eric A Youngstrom, Robert L Findling, Mirtes Pereira, Leticia Oliveira, Mary L Phillips, Janaina Mourao-Miranda

“…Pattern regression analyses consisted of Relevance Vector Regression (RVR) and two cross-validation strategies implemented in the Pattern Recognition for Neuroimaging toolbox (PRoNTo). Medication was treated as a binary confounding variable. Decoded and actual clinical scores were compared using Pearson's correlation coefficient (r) and mean squared error (MSE) to evaluate the models. …”
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Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization by Lei Guo, Yu Han, Haoran Jiang, Xinxin Yang, Xinhua Wang, Xiyu Liu

“…The experimental results demonstrate the superiority of JCMF compared to several state-of-the-art methods in terms of root mean squared error (RMSE) and mean average error (MAE).…”
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The multifaceted impact of international sanctions on economic freedom: Empirical insights from a cross-national analysis by Nataliia Vlasova, Ahmed Alwadeai

“…This study investigates the multifaceted relationship between international sanctions and economic freedom, treating it not simply as an economic construct but as a fundamental pillar of societal well-being. …”
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Medial rectus resection versus plication in basic type intermittent exotropia by Hanan S. Hegazy, Mona N. Mansour

“…Conclusion Both the RR and RP procedures exhibit comparable effectiveness in treating basic-type X (T). Plication may be chosen as a substitute tightening technique due to its additional benefits over resection. …”
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AI IS LEARNING HOW TO WRITE. ETHICAL PROBLEMS FOR JOURNALISM by Dan Valeriu VOINEA

“…Early examples, such as automation by the Associated Press and errors following AI adoption at Microsoft's MSN, illustrate these tensions. …”
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Wrong Drug Events Across Pennsylvania Healthcare Facilities: A Systematic Analysis of Medication Pairs, Class Patterns, and Clinical Safety Implications by Myungsun Ro, Rebecca Jones

“…# Background Medication errors represent a significant challenge to patient safety. …”
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Clinical case of Norwegian scabies in a patient with HIV infection by A. Kh. Bulatova, Kh. S. Khaertynov, I. G. Idrisov, N. M. Gilfanov, A. S. Kuznetsov

“…Norwegian scabies is a rare variant of scabies, which has clinical differences from the classical variant, which can cause diagnostic errors. Risk factors for developing the disease are various immunodeficiency states (HIV infection, malignant neoplasms, leprosy). …”
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Abuse potential of fentanyl and fentanyl analogues by Anusha Thumma, Kwadwo Mfoafo, Niloofar Babanejad, Alborz Omidian, Yadollah Omidi, Hamid Omidian

“…Results: The gold standard for treating both acute and chronic pain is fentanyl, but abuse of the drug has exploded globally since the late 2000s. …”
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Practice Patterns for N-acetylcysteine Dosing for Acetaminophen Toxicity in the United States by Michael Thomas, Christopher Edwards, Amanda Dunlap

“…Reasons for making the change were for simplicity, to decrease errors or adverse events, or based on local poison center recommendations. …”
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Vertical equilibrium simulation for industrial-scale CO2 storage in heterogeneous aquifers by Hatem Alamara, Christophe Blondeau, Sylvain Thibeau, Igor Bogdanov

“…The study demonstrates that neglecting geological heterogeneity in the vertically-averaged relative permeability and pseudo-capillary pressure may lead to significant errors in predicted CO2 plume extents. These errors result from unjustifiably assuming homogeneous-acting formations to highly heterogeneous formations. …”
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Policy or Circumstances? A Synthetic Control Method for Evaluating Brazil’s Economic Boom Under Lula by Jaeho Jung, Kisu Kwon

“…This study demonstrates the robustness of the results through leave-one-out distribution, the ratio of postintervention-period root mean square prediction error (RMSPE) to preintervention-period RMSPE, and in-space placebo tests.…”
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Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning by Yixing Wu, Alexander Shieh, Steven Cen, Darryl Hwang, Xiaomeng Lei, S. J. Pawan, Manju Aron, Inderbir Gill, William D. Wallace, C.-C. Jay Kuo, Vinay Duddalwar

“…For the PD-L1 expression in 52 ccRCC patients, treated as a regression problem, our GL model achieved a 5-fold cross-validated mean squared error (MSE) of 0.0041 and a Mean Absolute Error (MAE) of 0.0346. …”
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