Systematic Review and Meta-Analysis of the Y-Balance Test Lower Quarter: Reliability, Discriminant Validity, and Predictive Validity by Phillip Plisky, Katherine Schwartkopf-Phifer, Bethany Huebner, Mary Beth Garner, Garrett Bullock

“…Given the heterogeneity of injury prediction studies, a meta-analysis of these data was not possible. …”
Get full text

Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system by Junaid Khan, Muhammad Fayaz, Umar Zaman, Eunkyu Lee, Awatef Salim Balobaid, Muhammad Bilal, Kyungsup Kim

“…The model efficiently processes input from these sensors, refining the sensor data to filter out noise and improve prediction accuracy. The integration of MFIS significantly improves the system’s performance, significantly reducing the root mean square error (RMSE) and mean absolute error (MAE), which are critical indicators of predictive accuracy. …”
Get full text

Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling by Sergei Soldatenko, Denis Chichkine

“…This dynamical system is frequently applied for studying various aspects of atmospheric and climate dynamics, as well as for estimating the effectiveness of numerical algorithms and techniques used in numerical weather prediction, data assimilation, and climate simulation. …”
Get full text

Predictive value of MMP-2, MMP-9, TIMP-1 in surgical treatment of localized renal cell cancer by A. I. Tarasenko, A. N. Rossolovskiy, O. L. Berezinets, D. A. Durnov, E. B. Popyhova, V. M. Popkov

“…According to the results of the ROC analysis, this indicator has a high specificity and sensitivity in terms of predicting RCC at the preoperative stage. The highest sensitivity and specificity for detecting tumor progression was demonstrated by matrix metalloproteinases: MMP‑2 – sensitivity 96 %, specificity 67 % (cut-off point 357.5 pg/ml) and MMP‑9 – sensitivity 87.5 % and specificity 62 % (cut-off point 958 ng/ml). …”
Get full text

Model for End-Stage Liver Disease and Sodium Velocity Predicts Overall Survival in Nonmetastatic Hepatocellular Carcinoma Patients by Justin Y. Tang, Nitin Ohri, Rafi Kabarriti, Santiago Aparo, Jennifer Chuy, Sanjay Goel, Jonathan M. Schwartz, Milan Kinkhabwala, Andreas Kaubisch, Chandan Guha

Get full text

A Novel Long Short-Term Memory Predicted Algorithm for BDS Short-Term Satellite Clock Offsets by Tailai Wen, Gang Ou, Xiaomei Tang, Pengyu Zhang, Pengcheng Wang

“…Thus, the QPLSTM can be considered as a new approach to acquire high-precision satellite clock offset prediction.…”
Get full text

Predicting marine habitat for marbled murrelets during breeding and nonbreeding seasons in the Salish Sea, British Columbia, Canada by Sonya A. Pastran, Patrick D. O’Hara, Caroline H. Fox, Mark C. Drever, Ross Vennesland, Douglas F. Bertram

Get full text

Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning by Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu

Subjects: Get full text

Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles by Binfei Hu, Zengjun Lu, Qiming Cui, Rongjiang Tang, Zhe Feng, Daokun Bi

“…It is important to use simulation methods to predict the performance of aerodynamic noise and wind drag of commercial vehicles due to the OSRVM. …”
Get full text

Prediction of Cutting Conditions in Turning AZ61 and Parameters Optimization Using Regression Analysis and Artificial Neural Network by Nabeel H. Alharthi, Sedat Bingol, Adel T. Abbas, Adham E. Ragab, Mohamed F. Aly, Hamad F. Alharbi

“…In addition to ANN models, traditional regression analysis was also used to build a mathematical model representing the equation required to obtain the surface roughness. Predictions from the model were examined against experimental data and then compared to the ANN model predictions using different performance criteria such as the mean absolute error, mean square error, and coefficient of determination.…”
Get full text

Predicting of Temporal-Spatial Sand Dunes Transition Caused by Marine Storms (Case Study: The Coast of Makran, Iran) by Soleiman PirouzZadeh, Mahmood Khosravi, Samad Fotohi

“…Sands of marine origin are available on the beach and away from the sea of dunes in addition of marine origin, Predictive models for planning sustainable use of land use and land cover in a country like Iran that land use is changing rapidly, there is an urgent need; To detect and predict changes in land cover changes overview to better manage natural resources and protect marginal lands beaches and is very effective long-term policy measures. …”
Get full text

Differential Analysis and Prediction Optimization of Ground Surface Settlement Induced by Quasi-Rectangular Shield and Pipe Jacking Tunnelling by Xue Liu, Peinan Li, Jun Liu, Zeyu Dai, Peixin Chen, Xiaoyong Kou, Jie Fan

“…When λ is selected from 0.85 to 0.91 and α from 1 to 1.1 for the shield project, 1.2 to 1.4, and 1.4 to 1.6 for the pipe jacking project, the modified formula can better predict the ground surface settlement. According to the sensitivity factor analysis, grouting pressure and elastic modulus of grout material exert a more significant influence on pipe jacking construction. …”
Get full text

A Comprehensive Propagation Prediction Model Comprising Microfacet Based Scattering and Probability Based Coverage Optimization Algorithm by A. S. M. Zahid Kausar, Ahmed Wasif Reza, Lau Chun Wo, Harikrishnan Ramiah

“…Although ray tracing based propagation prediction models are popular for indoor radio wave propagation characterization, most of them do not provide an integrated approach for achieving the goal of optimum coverage, which is a key part in designing wireless network. …”
Get full text

CT-based skeletal muscle loss predicts long term prognosis in patients with distal cholangiocarcinoma undergone pancreaticoduodenectomy by Guangzhen Qu, Shao-Cheng Lyu, Yong Zhang, Kun Gao, Chuanguo Zhou

“…The models combining SML and clinical characteristics had excellent predictive performance for OS and RFS. The nutritional status marker SML are effective and convenient indicators for predicting the long-term prognosis of DCC after PD, and the SMLafter PD is notable. …”
Get full text

Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process by Huaiping Jin, Jiangang Li, Meng Wang, Bin Qian, Biao Yang, Zheng Li, Lixian Shi

“…The proposed method is applied to an industrial rubber mixing process for Mooney viscosity prediction, and the experimental results demonstrate its effectiveness and superiority over traditional soft sensor methods.…”
Get full text

The Solution of Two-Dimensional Heat Conduction Problems for Predicting Operating Temperature and Power Handling Capabilities of Hybrid Circuits by M. Tudanca, G. P. Ferraris

Get full text

Accuracy Assessment of Nonlinear Seismic Displacement Demand Predicted by Simplified Methods for the Plateau Range of Design Response Spectra by Pierino Lestuzzi, Lorenzo Diana

“…The nonlinear seismic displacement demand prediction for low-period structures, i.e., with an initial fundamental period situated in the plateau of design response spectra, is studied. …”
Get full text

Machine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis by Haofuzi Zhang, Peng Zou, Peng Luo, Xiaofan Jiang

“…Recently, some studies have attempted to apply ML models for early noninvasive prediction of DCI. However, systematic evidence for its predictive accuracy is still lacking. …”
Get full text

Squat Motion of a Humanoid Robot Using Three-Particle Model Predictive Control and Whole-Body Control by Hongxiang Chen, Xiuli Zhang, Mingguo Zhao

Subjects: Get full text

End-to-End Methodology for Predictive Maintenance Based on Fingerprint Routines and Anomaly Detection for Machine Tool Rotary Components by Amaia Arregi, Aitor Barrutia, Iñigo Bediaga

Subjects: Get full text