Determination and prediction of the apparent and standardized ileal amino acid digestibility in soybean meal fed to the pullets by Sumei Cao, Yuxin Yang, Guangtian Ma, Jing Wang, Kai Qiu, Zhigang Song, Shugeng Wu, Guanghai Qi, Haijun Zhang

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The interaction effect of personality hardiness and fear of failure to predict achievement motivation adolescents of working mother by Syarifah Farradinna, Sindy Putri Arlena

“…They are even willing to accept failure as part of the goal-setting process This study was conducted to explain the psychological characteristics of hardness and fear of failure that are predicted to determine the achievement motivation of adolescents whose mothers are employed. …”
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Prediction Scores Do Not Correlate with Clinically Adjudicated Categories of Pulmonary Embolism in Critically Ill Patients by CM Katsios, M Donadini, M Meade, S Mehta, R Hall, J Granton, J Kutsiogiannis, P Dodek, D Heels-Ansdell, L McIntyre, N Vlahakis, J Muscedere, J Friedrich, R Fowler, Y Skrobik, M Albert, M Cox, J Klinger, J Nates, A Bersten, C Doig, N Zytaruk, M Crowther, DJ Cook

“…BACKGROUND: Prediction scores for pretest probability of pulmonary embolism (PE) validated in outpatient settings are occasionally used in the intensive care unit (ICU).…”
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Catastrophizing Has a Better Prediction for TMD Than Other Psychometric and Experimental Pain Variables by Lisa Willassen, Anders Arne Johansson, Siv Kvinnsland, Kordian Staniszewski, Trond Berge, Annika Rosén

“…The results support this hypothesis and indicate that TMD patients have lower pain thresholds and more disability when living with pain compared to healthy individuals, where the strongest prediction for TMD was catastrophizing. Awareness of psychometric disabilities in TMD patients is of importance when considering the choice of treatment.…”
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Fine-Needle Pricking Test of the Parathyroid Gland during Thyroid Surgery in Predicting Parathyroid Function by Ying-Jun Wu, Jian-Biao Wang, Fei-Bo Li, Lei Jin, Liang Zhou, Lei Xie

“…The FNP test is a safe and reliable method to predict parathyroid function. One PGPIEV demonstrated by the FNP test rules out the possibility of patients developing hypoparathyroidism.…”
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Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke by Jiangping Ma, Yuanjie Xie

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Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm by Rafiqul Islam, Md. Arif Hossain

“…This ensures a very strong and reliable UCS prediction method that is vital for the improvement of civil engineering project safety and efficiency.…”
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Retracted: Predicting the Link between Stock Prices and Indices with Machine Learning in R Programming Language by Journal of Mathematics

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A New Modified Peck Formula for Predicting the Surface Settlement Based on Stochastic Medium Theory by Zhanping Song, Xiaoxu Tian, Yuwei Zhang

“…To solve this problem, in this paper, a simple and accurate prediction approach for surface settlement was obtained by improving the Peck method based on the basic idea of stochastic medium theory. …”
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A new ASAP Scoring System and Risk Table to predict second prostate biopsy outcomes by Ediz Caner, Akan Serkan, Kaya Neslihan, Ihvan Aysenur

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Modification of Peck Formula to Predict Ground Surface Settlement of Twin Tunnels in Low Permeability Soil by Xiaowu Tang, Jiaxin Liang, Wei Liu, Yuhang Ye, Penglu Gan, Wenfang Zhao, Yue Yu

“…Accurate prediction of surface settlement induced by tunnel excavation is significant for preventing damage to existing structures under complex geological conditions. …”
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A Free-Space-Based Model for Predicting Peanut Moisture Content during Natural Drying by Xin Xu, Ying Sun, Yuanyuan Yin, Yiwei Xue, Fangyan Ma, Chao Song, Hang Yin, Liqing Zhao

“…According to the findings, the ELM neural network model, which is based on the optimization of the SSA, has an improved prediction accuracy. This prediction model provides a theoretical foundation for the variations in peanut seed moisture content during the natural drying process after harvesting peanuts in Shandong, which will be useful for future peanut storage and transportation.…”
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Albumin-to-Fibrinogen Ratio Independently Predicts 28-Day Mortality in Patients with Peritonitis-Induced Sepsis by Huiyu Tai, Zhiyun Zhu, Haifeng Mei, Wenbin Sun, Wei Zhang

“…This study is aimed at investigating whether albumin-to-fibrinogen ratio (AFR) could independently predict the prognosis in patients with peritonitis-induced sepsis. …”
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An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction by Tsang-Chu Yu, Chung-Chih Lin

“…Experimental results show the following. (1) A longer historical data collected time interval will reduce the effects of abnormal surges on prediction results. We find the ARIMA prediction model accuracy improving from 3.19 ± 3.47% for a time interval of 10 minutes to 1.71 ± 1.45% for a time interval of 50 minutes. (2) The stability experiment shows that the error rate of prediction model is also less than 7.5%. (3) In the energy-saving experiment, fuzzy logic-based decision model can reduce the 55% energy while maintaining adequate air quality.…”
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Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application by Andrei Danila, Robert Streche, Oana Orza, Cristina Dobre, George Suciu

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An Improved Prediction Model of IGBT Junction Temperature Based on Backpropagation Neural Network and Kalman Filter by Yu Dou

“…In this article, an advanced prediction model is proposed to obtain accurate IGBT junction temperature. …”
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Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine by Hang-cheong Wong, Pak-kin Wong, Chi-man Vong

“…An accurate and adaptive model for lambda prediction is essential to effective lambda control for long term. …”
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Influence of Load Test Scale on Prediction of Ultimate Bearing Capacity of Aggregate Pier Reinforced Clay by Sung-Ha Baek, Taeho Bong

“…Predicting the bearing capacity of spread footings on aggregate pier-reinforced soil is particularly important for ground improvement. …”
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An explainable sentiment prediction model based on the portraits of users sharing representative opinions in social sensors by Bin Wang, Enhui Wang, Zikun Zhu, Yangyang Sun, Yaodong Tao, Wei Wang

“…Six machine learning algorithms are used to predict emotional tendency based on users’ portraits. …”
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Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey by Taojie Kuang, Pengfei Liu, Zhixiang Ren

Subjects: “…molecular property prediction (mpp)…”
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