INTERNATIONAL NORMALIZED RATIO AND ACTIVATED PARTIAL THROMBOPLASTIN TIME DO NOT PREDICT PLASMA TRANSFUSION IN LIVER TRANSPLANTATION by David Silveira MARINHO, Joel Avancini ROCHA FILHO, Estela Regina Ramos FIGUEIRA, Claudia Regina FERNANDES, Rui Carlos DETSCH JUNIOR, José Huygens Parente GARCIA, Wellington ANDRAUS, Luiz Augusto Carneiro D’ALBUQUERQUE

“…The accuracy of INR and aPTT to predict plasma transfusions was investigated. The alert values of INR and aPTT unassociated with coagulopathy in each phase of surgery were identified. …”
Get full text

Evaluation and Prediction of Agricultural Water Use Efficiency in the Jianghan Plain Based on the Tent-SSA-BPNN Model by Tianshu Shao, Xiangdong Xu, Yuelong Su

Subjects: Get full text

Multi-phase-field modeling and high-performance computation for predicting material microstructure evolution during sintering by Aoi Nakazawa, Shinji Sakane, Tomohiro Takaki

“…As the properties of sintered products are considerably affected by the microstructures formed during sintering, numerical simulation is essential for predicting and controlling microstructures with high accuracy. …”
Get full text

Predicting Cognitive Decline in Parkinson’s Disease with Mild Cognitive Impairment: A One-Year Observational Study by Pei-Hao Chen, Fang-Yu Cheng, Shih-Jung Cheng, Jin-Siang Shaw

“…Initial Clinical Dementia Rating—Sum of Boxes score was a better predictor of future cognitive decline than MMSE in PD-MCI. For predicting the occurrence of cognitive decline in PD-MCI, the prediction accuracy increased from the reduced model (AUC = 0.822, p<0.001) to the full model (a total of five independent variables, AUC = 0.974, p<0.001). …”
Get full text

Risk Factor Analysis and Prediction of Para‐Aortic Lymph Node Metastases in Locally Advanced Cervical Cancer by Tinglu Wang, Jinchen Wei, Li Jiang, Lulu Huang, Tingting Huang, Shanshan Ma, Qiufeng Huang, Yong Zhang, Fang Wu

“…Risk factors were evaluated by logistic regression. A prediction nomogram model was developed and validated. …”
Get full text

LPTA: Location Predictive and Time Adaptive Data Gathering Scheme with Mobile Sink for Wireless Sensor Networks by Chuan Zhu, Yao Wang, Guangjie Han, Joel J. P. C. Rodrigues, Jaime Lloret

“…This paper exploits sink mobility to prolong the lifetime of sensor networks while maintaining the data transmission delay relatively low. A location predictive and time adaptive data gathering scheme is proposed. …”
Get full text

Developing a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV by Mercadal-Orfila G, Serrano López de las Hazas J, Riera-Jaume M, Herrera-Perez S

“…Notably, our ALGOPROMIA ML model achieved the highest predictive accuracy for questionnaires such as MOS30 VIH (Adj. …”
Get full text

Enhancing prediction of wildfire occurrence and behavior in Alaska using spatio-temporal clustering and ensemble machine learning by A. Ahajjam, M. Allgaier, R. Chance, E. Chukwuemeka, J. Putkonen, T. Pasch

“…Histogram Gradient Boosting (HistGB) is then used for predictive modeling of wildfire occurrence, burnt area, and wildfire duration. …”
Get full text

Peripheral Tumor Location Predicts a Favorable Prognosis in Patients with Resected Small Cell Lung Cancer by Yina Gao, Yangyang Dong, Yingxu Zhou, Gongyan Chen, Xuan Hong, Qingyuan Zhang

Get full text

Predict organizational citizenship behavior of the staff based on the factors of the psychological capital and staff of Ministry of Sport and Youth by Khaidan Hatmı, Mohhammad Reza Esmaeılı, Sayed Hamid Sajadı

“…The aim of the present study was to predict organizational citizenship behavior of the staff of the Ministry of Sport and Youth in the west part of the country based on the factors of the psychological capital. …”
Get full text

Development and approval of a Lasso score based on nutritional and inflammatory parameters to predict prognosis in patients with glioma by Huixian Li, Hui Hong, Jinling Zhang

“…The nomogram demonstrated good calibration in both cohorts, indicating strong agreement between predicted and observed outcomes. The threshold probabilities for DCA at 1-, 3-, and 5-years post-surgery in the training and validation cohorts were 0.08~k0.74, 0.25~0.80, and 0.08~0.89, and 0.13~0.60, 0.28~0.81, and 0.25~0.88, respectively.ConclusionsA nomogram incorporating a Lasso score effectively predicted prognosis in glioma patients. …”
Get full text

Optimized Model Predictive Control-Based Path Planning for Multiple Wheeled Mobile Robots in Uncertain Environments by Yang She, Chao Song, Zetian Sun, Bo Li

“…Addressing the path planning problem for multiple wheeled mobile robots (WMRs) in uncertain environments, this paper proposes a multi-WMR path planning algorithm based on the fusion of artificial potential field and model predictive control. Firstly, an artificial potential field model for uncertain environments is established based on the APF method. …”
Get full text

Precision Sensing-Aided Multi-Target Beamforming Prediction in High-Mobility ISAC Systems Based on OTFS by Chunyue Wang, Yong Wang, Huiming Zheng, Yunhao Chai, Ying Dong

Subjects: “…multi-target beamforming prediction…”
Get full text

Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model by George Peat, Martin J Thomas, Milica Blagojevic-Bucknall, Ross Wilkie, Simran Singh Parmar, Diane Smith, Bethany Jane Seale, Gemma Mansell

Get full text

Predictive Factors for Failure of Noninvasive Ventilation in Adult Intensive Care Unit: A Retrospective Clinical Study by Qimin Chen, Ming Liu, Bo Liu, Wei Li, Daixiu Gao, Lulu Xie, Yu Wu, Liang Li, Ying Liu, Ying Wang, Tang Yan, Yuanyi Liu, Yumei Cheng, Xu Liu, Feng Shen

“…We aim to determine the factors that predict the failure of NIV in critically ill patients with acute respiratory failure (ARF). …”
Get full text

Comparison of 2-D and 3-D Analysis of Running Kinematics and Actual Versus Predicted Running Kinetics by Caitlyn Martinez, Seth Garbett, Kristen Hiromasa, Rhandi Jackson, Eric Miya, Michelle Miya, Joshua D White, Brian S Baum, Mark F Reinking

“…# Background Providing clinicians with an accurate method to predict kinetic measurements using 2D kinematic motion analysis is crucial to the management of distance runners. …”
Get full text

Prediction of Liver Steatosis and Fibrosis Based on Clinical Variables Using a Large National Survey Database by Yanal Alnimer, Touleen Alnimer

“…A Naïve Byes classifier and decision trees were used to calculate the predicted probabilities of liver steatosis and fibrosis. …”
Get full text

Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced Data by Mihkel Kotli, Geven Piir, Uko Maran

Get full text

Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning by M. Isabel Ramos, Juan J. Cubillas, Ruth M. Córdoba, Lidia M. Ortega

Get full text

Nondestructive Detection of Moisture Content in Palm Oil by Using Portable Vibrational Spectroscopy and Optimal Prediction Algorithms by Ernest Teye, Charles L. Y. Amuah, Tai-Sheng Yeh, Regina Nyorkeh

“…The models were evaluated according to the coefficient of determination and root mean square error in calibration (Rc and RMSEC) and prediction (Rp and RMSEC) set, respectively. The model SGD1 + SiPLS was the optimal novel algorithm obtained among the others with the performance of Rc = 0.968 and RMSEC = 0.468 in the calibration set and Rp = 0.956 and RMSEP = 0.361 in the prediction set. …”
Get full text