Predictive modeling of coagulant dosing in drilling wastewater treatment using artificial neural networks by Mahyar Kalhormohammadi, Sanaz Khoramipour

“…In terms of error, the ELMs model demonstrated the lowest RMSE values for both coagulant (0.13) and flocculant (0.10) predictions. …”
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Safety analysis of Yttrium-90 resin microsphere selective internal radiation therapy on malignant liver tumors by Jia CAI, Shiwei TANG, Rongli LI, Mingxin KONG, Hongyan DING, Xiaofeng YUAN, Yuying HU, Ruimei LIU, Xiaoyan ZHU, Wenjun LI, Haibin ZHANG, Guanwu WANG

“…ConclusionThe adverse reactions of 90Y-SIRT for treating malignant liver tumors are mild, indicating good safety.…”
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Chronic Rhinosinusitis with Nasal Polyps and Biologics: A Call for Better Data Standardisation and Presentation in Clinical Studies by Kariyawasam HH, Langan D, Rimmer J

“…Harsha Hemantha Kariyawasam,1,2 Dean Langan,3 Joanne Rimmer4– 6 1Specialist Allergy and Clinical Immunology, Royal National ENT Hospital, London, UK; 2Rhinology Section, Royal National ENT Hospital, London, UK; 3Great Ormond Street Institute of Child Health, UCL, London, UK; 4Department of Otolaryngology Head & Neck Surgery, Monash Health, Melbourne, Australia; 5Department of Surgery, Monash University, Melbourne, Australia; 6Department of Otolaryngology Head & Neck Surgery, St Vincent’s Hospital, Melbourne, AustraliaCorrespondence: Harsha Hemantha Kariyawasam, Specialist Allergy and Clinical Immunology, Rhinology Section, Royal National ENT Hospital London and UCLH NHS Foundation Trust, 47-49 huntley Street, London, WC1E 6DG, UK, Email harsha.kariyawasam@nhs.netAbstract: Chronic rhinosinusitis with nasal polyps (CRSwNP) is often severe, debilitating and difficult to treat. Recent randomised control trials (RCTs) of biologics that target key inflammatory pathways have demonstrated clinical efficacy in treating CRSwNP. …”
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FIRST-line support for assistance in breathing in children (FIRST-ABC): a master protocol of two randomised trials to evaluate the non-inferiority of high-flow nasal cannula (HFNC)... by Mark J Peters, Padmanabhan Ramnarayan, Lyvonne N Tume, Kathryn M Rowan, David A Harrison, Alvin Richards-Belle, Peter Davis, Kevin P Morris, Zia Sadique, Laura Drikite, Richard Grieve, Julie Lester, Paul R Mouncey

“…A total sample size of 600 patients in each RCT will provide 90% power with a type I error rate of 2.5% (one sided) to exclude the prespecified non-inferiority margin of HR of 0.75. …”
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Application of hyperthermia robots in Cyber-syndrome treatment by Xueyan YIN, Feifei SHI, Jinqiang WANG, Huansheng NING

“…Although heat therapy plays a crucial role in treating Cyber-syndrome, its effectiveness depends on precise temperature control and accurate targeting of the affected areas. …”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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Comparing randomized trial designs to estimate treatment effect in rare diseases with longitudinal models: a simulation study showcased by Autosomal Recessive Cerebellar Ataxias us... by Niels Hendrickx, France Mentré, Alzahra Hamdan, Mats O. Karlsson, Andrew C. Hooker, Andreas Traschütz, Cynthia Gagnon, Rebecca Schüle, Matthis Synofzik, Emmanuelle Comets, ARCA Study Group, EVIDENCE-RND consortium

“…With slow disease progression and high residual error, longer durations are needed for power to be greater than 80%, 5 years for slower progression and 2 years for faster progression ataxias. …”
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Medición objetiva de la calidad sonora de las tumbadoras // Objective measurement of the sound quality in Cuban drums by J. I. Hernández Cruz, J. Rodríguez Matienzo, J. Arteche Díaz

“…Se obtuvieron valores de error estándar cero y distribución de<br />error despreciables para las tumbadoras consideradas patrón y las profesionales.…”
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An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan by Ghulam Abbas, Arshad Ali, Faizan Rashid, Naveed Ashraf, Zohaib Mushtaq, Muhammad Zubair

“…Four statistical indicators, namely root mean square error, mean absolute error, coefficient of determination, and coefficient of efficiency, are taken into consideration to measure the accuracy offered by NEPFM-SSA and NEPFM. …”
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Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models by Stella Pantopoulou, Matthew Weathered, Darius Lisowski, Lefteri H. Tsoukalas, Alexander Heifetz

“…The results yield maximum absolute percentage error (MaxAPE) and root mean squared percentage error (RMSPE) of 1.58% and 0.06% for ARIMA, and 3.14% and 0.44% for LSTM, respectively. …”
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Snowmelt runoff model (SRM) for regulated watersheds with regulation-correction by Ninad Bhagwat, Xiaobing Zhou, Raja Nagisetty, Liping Jiang, Glenn Shaw, Martha Apple, Jeremy Clotfelter

“…Nash–Sutcliffe Efficiency: from − 0.16 to 0.74, − 0.43 to 0.59, − 0.16 to 0.67; Kling–Gupta Efficiency) and relative (e.g. Root-Mean-Square Error, Normalized Root-Mean-Square Error, Mean Absolute Error, and Volume Difference) indicators, highlighting the significant impact of flow regulation on SRM performance. …”
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Naskah Pengobatan “Usada” di Bali dan Problematika Pemurnian Teks by I Wayan Suardiana

“…The results obtained indicate that there are many errors in the copy and wrong writing in the decrease in text.…”
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Practical guidance to handle missing values in the 25-question Geriatric Locomotive Function Scale (GLFS-25): a simulation study by Sakae Tanaka, Keiko Yamada, Toru Ogata, Hirotaka Chikuda, Kozo Nakamura, Takuya Kawahara, Ryohei Terashima, Ikumi Takashima, Hiromasa Miura, Takashi Ohe

“…Objectives Despite the possible large number of missing values on the 25-question Geriatric Locomotive Function Scale (GLFS-25), how we should treat them is unknown. In a simulation study, we investigated how to handle missing values in the GLFS-25.Design, setting and participants We used three datasets with different participant characteristics: community dwellers who could walk by themselves, outpatients of orthopaedics owing to pain, and patients who required surgery for total knee replacement or lumbar spinal canal stenosis.Outcome measures The missing items of the datasets were artificially created, and four statistical methods, complete case analysis, multiple imputation, single imputation using individual mean, and single imputation using individual domain average, were compared in terms of bias and mean squared error. …”
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Whole fungal elicitors boost paclitaxel biosynthesis induction in Corylus avellana cell culture. by Mina Salehi, Ahmad Moieni, Naser Safaie, Siamak Farhadi

“…Based on value account for (VAF), root mean square error (RMSE), coefficient of determination (R2), mean absolute percentage error (MAPE) and relative percent difference (RPD) can be concluded that mentioned regression models effectively worked only for modeling and predicting extracellular paclitaxel portion in C. avellana cell culture.…”
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Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network by Fatemeh Makhloughi

“…The effectiveness of these methods is evaluated based on Root Mean Squared Error (RMSE), R-squared (R2), and Mean Absolute Error (MAE). …”
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Hume’s “Of scepticism with regard to reason” and the Degeneration of Knowledge in Practice by Benjamin Nelson

“…Accepting this much at the outset, Hume calls on recollected errors to show how, in practice, all knowledge degenerates to probability.…”
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Handheld motorized injection system with fiber-optic distance sensors and adaptive time-delay controller by Jintaek Im, Sukho Park, Cheol Song

“…The conventional method exhibited a cosine error of approximately 77 μm at an angle of 45°, whereas our proposed needle reduced measurement errors to ∼6 μm. …”
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Gradient method for designing cascaded DOEs and its application in the problem of classifying handwritten digits by D.V. Soshnikov, L.L. Doskolovich, E.V. Byzov

“…Using the unitarity property of the operator describing the light propagation through the cascaded DOE, we obtained explicit expressions for the derivatives of the error functional with the respect to the phase functions of the cascaded DOE. …”
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Modeling the violation of reward maximization and invariance in reinforcement schedules. by Giancarlo La Camera, Barry J Richmond

“…In visually cued reinforcement schedules, monkeys make errors in trials that are not immediately rewarded, despite having to repeat error trials. …”
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