Book Review “Early Prediction and Prevention of Child Abuse” by Joav Merrick

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Effects of Operation Prediction Sharing for Collaborative Avatar Robot by Hyuga Suzuki, Hikari Yukawa, Kouta Minamizawa, Yoshihiro Tanaka

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ANGPTL4: A Predictive Marker for Diabetic Nephropathy by Eman Al Shawaf, Mohamed Abu-Farha, Sriraman Devarajan, Zahra Alsairafi, Irina Al-Khairi, Preethi Cherian, Hamad Ali, Aditi Mathur, Fahd Al-Mulla, Abdulnabi Al Attar, Jehad Abubaker

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Predictive factors' modeling of entrepreneurial opportunities in international companies by Ali Farahani, Younos Vakil Alroaia, Farideh Haghshenaskashani, Ali Faez

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Implicit link prediction based on extended social graph by Ling Xing, Jinxin Liu, Qi Zhang, Honghai Wu, Huahong Ma, Xiaohui Zhang

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Regional Climate Change: Downscaling, Prediction, and Impact Assessment by Lian Xie, Fredrick Semazzi, Adel Hanna, Richard Anyah, Huiwang Gao, Yijun He

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Predicting Metabolic Syndrome Using the Random Forest Method by Apilak Worachartcheewan, Watshara Shoombuatong, Phannee Pidetcha, Wuttichai Nopnithipat, Virapong Prachayasittikul, Chanin Nantasenamat

“…The RF method was applied to predict the occurrence of MS and to identify important health parameters surrounding this disorder. …”
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Specific Dysphoric Symptoms Are Predicted by Early Maladaptive Schemas by Roberta Trincas, Cristina Ottaviani, Alessandro Couyoumdjian, Katia Tenore, Grazia Spitoni, Francesco Mancini

“…A series of stepwise multiple regression analyses were performed to investigate the predictive power of the EMSs for the severity of each specific depressive symptom. …”
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The Usefulness of Intrapartum Transperineal Ultrasonography for the Prediction of Mode of Delivery by Erdinc Saridogan, Ozlem Moraloglu Tekin

“…The receiver operating characteristics curve showed that measurement of angle of progression with <110.5 degrees (p=0.001) and measurement of head-perineum distance with >52.5 millimeters (p=0.001) were associated with emergent cesarean delivery. For the prediction of delivery mode, both angle of progression and head-perineum distance had high sensitivity and specificity. …”
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Effective Variational Data Assimilation in Air-Pollution Prediction by Rossella Arcucci, Christopher Pain, Yi-Ke Guo

“…Numerical simulations are widely used as a predictive tool to better understand complex air flows and pollution transport on the scale of individual buildings, city blocks, and entire cities. …”
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Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient by Juan Carlos Arranz Pozo, Zaily Fuentes Díaz, Migdolis Savigne Daudinot, Orlando Rodríguez Salazar, Tania Victoria Puerto Pérez

“…<br /><strong>Objective</strong>: to design a predictive model of chemotherapy and radiotherapy toxicity in surgical cancer patients.…”
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Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs by Lei Gong, Shuai Gao, Bo Liu, Jianguo Yang, Xiaofei Fu, Fei Xiao, Xiaocen Su, Rongzhi Fu, Qi Lu

“…Finally, the fracture distribution is evaluated comprehensively based on above prediction. The prediction results in this work are consistent with the core measurements.…”
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Systematic Review of Methods for Individual Prediction of Postoperative Pain by Krister Mogianos, Jonas Åkeson, Anna K. M. Persson

“…However, many traditional predictive methods still have a questionable role in clinical practice.…”
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A Prediction Method for the RUL of Equipment for Missing Data by Chen Wenbai, Liu Chang, Chen Weizhao, Liu Huixiang, Chen Qili, Wu Peiliang

“…We present a prediction framework to estimate the remaining useful life (RUL) of equipment based on the generative adversarial imputation net (GAIN) and multiscale deep convolutional neural network and long short-term memory (MSDCNN-LSTM). …”
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Effectiveness of Clinical Decision Tools in Predicting Pulmonary Embolism by Michael A. Simon, Christopher Tan, Patrick Hilden, Lyle Gesner, Barry Julius

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Predictive Logistic Models for Off-Street Parking Policy by Nahla H. Alaswadko

“…This can be achieved by implementing appropriate parking policies, which should be predicted carefully to avoid adverse effects on human and economic activities. …”
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Research on the Application of Reinforcement Learning in Traffic Flow Prediction by Hu Yiquan

“…However, traditional statistical models and prediction methods based on historical data exhibit many limitations when dealing with complex, dynamic, and nonlinear traffic flow data. …”
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Predictive Online Transient Stability Assessment for Enhancing Efficiency by Rui Ma, Sara Eftekharnejad, Chen Zhong

“…A classifier embedded in the generative network deploys the predicted data to determine the stability of the system. …”
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Predicting Surface Runoff from Catchment to Large Region by Hongxia Li, Yongqiang Zhang, Xinyao Zhou

“…Predicting surface runoff from catchment to large region is a fundamental and challenging task in hydrology. …”
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Extending OpenStack Monasca for Predictive Elasticity Control by Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

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