MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK by WASIU AJAGBE, MURTADHA TIJANI, OLUWAFEMI ODUKOYA

“…It is concluded that ANN models accurately predicted the tensile strength of PET concrete. …”
Get full text

Based on improved malthusian model microblogging topic trend forecast by Yan-xiang HE, Jian-bo LIU, Nan LIU, Min PENG, Qiang CHEN, Jing HE

“…Although trend forecasting problem is the research focus of social computing，yet the topic trend forecast of micro logging platform is still at the exploratory stage.Based on the analyzing，extracting and defining the influencing factors of the trends of event，the improved Malthus model，which is more applicable to solve microblogging topic trend forecast problem is presented.Then the model is mapped to the neural network，and the genetic algorithms are used to predict the trend of events.Experiments show that this method can predict the trend of long-term events in the social network with good results，and can predict the outbreak point and posting volume effectively.It is worth nothing that the method is also suitable for small sample forecasting problems.…”
Get full text

Strain capacity assessment of API X65 steel using damage mechanics by G. Testa, N. Bonora, D. Gentile, A. Ruggiero, G. Iannitti, A. Carlucci, Y. Madi

“…The procedure for material and damage model parameters identification is presented. Damage model predictive capability was demonstrated predicting ductile crack growth in SENB and SENT fracture specimens…”
Get full text

Contributions of K0∗1430 and K0∗1950 in the Charmed Three-Body B Meson Decays by Bo-Yan Cui, Ya-Hui Chen

“…The branching ratios of all concerned decays are calculated and predicted to be in the order of 10−10 to 10−5. The ratio R of branching fractions between B0⟶D¯0K0∗01430⟶D¯0K+π− and Bs0⟶D¯0K¯0∗01430⟶D¯0K−π+ is predicted to be 0.0552, which implies the discrepancy for the LHCb measurements. …”
Get full text

Dynamic monocyte changes as prognostic indicators in operable gastric cancer: a retrospective cohort analysis by Yiwei Jiang, Xianwei Sun, Chen Yang, Dandan Song, Chongjun Zhou, Xinxin Chen, Chongquan Huang, Zhonglin Wang, Jiante Li

“…The MMR showed high predictive value and significant clinical benefits in 1, 3, and 5-year overall survival (OS) assessments. …”
Get full text

Strain capacity assessment of API X65 steel using damage mechanics by Gabriel Testa, Nicola Bonora, Domenico Gentile, Andrew Ruggiero, Gianluca Iannitti, Antonio Carlucci, Yazid Madi

“…The procedure for material and damage model parameters identification is presented. Damage model predictive capability was demonstrated predicting ductile crack growth in SENB and SENT fracture specimens.…”
Get full text

A simplified hardness model for WC-Co-Cubic cemented carbides by Pang M., Du Y., Zhang W.-B., Peng Y.-B., Zhou P.

“…The current work presents an approach to predict the hardness of three-phase WC–Co–Cubic cemented carbides, which establishes a relationship among composition, structure and mechanical performance. …”
Get full text

Increased sagittal abdominal diameter is associated with a higher risk of kidney stones. by Wei Song, Shugen Li, Guangchun Wang, Shang Gao

“…Additionally, it explores potential underlying mechanisms and evaluates the clinical utility of a predictive model.<h4>Methods</h4>Data were collected from 11,671 participants, including 1,136 cases of KSD. …”
Get full text

Influence of Personal Preferences on Link Dynamics in Social Networks by Ashwin Bahulkar, Boleslaw K. Szymanski, Nitesh Chawla, Omar Lizardo, Kevin Chan

“…We introduce a method for computing student preferences for different attributes which we use to predict link formation and dissolution. We then rank these attributes according to their importance for making predictions. …”
Get full text

Weibull-Based Design Methodology for Rotating Structures in Aircraft Engines by Erwin V. Zaretsky, Robert C. Hendricks, Sherry Soditus

“…As the engine's Weibull slope increases, the predicted life decreases. The predicted engine lives L5 (95% probability of survival) of approximately 17,000 and 32,000 hr do correlate with current engine-maintenance practices without and with refurbishment, respectively. …”
Get full text

Revolutionizing agricultural stock volatility forecasting: a comparative study of machine learning and HAR-RV models by Houjian Li, Xinya Huang, Fangyuan Luo, Deheng Zhou, Andi Cao, Lili Guo

“…This research contributes to the volatility forecasting literature by advancing the understanding of how machine learning enhances traditional models’ predictive performance.…”
Get full text

Stress Intensity Factor Equations for the Evolution of Surface and Corner Cracks to Through Cracks by Antonio Miranda, Rafael Marques, Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro

“…Moreover, fatigue life predictions based on this improved model are compared with experimental results.…”
Get full text

Biomarker-Based Targeting of the Androgen-Androgen Receptor Axis in Advanced Prostate Cancer by Manish Kohli, Rui Qin, Rafael Jimenez, Scott M. Dehm

“…Specific examples of rational clinical trial designs incorporating potential predictive biomarkers from these pathways will illustrate several aspects of pharmacogenetic and pharmacogenomic predictive biomarker development in advanced prostate cancer therapeutics.…”
Get full text

Research on the Estimation Model of Electrical Parameters of Silver-Based Contacts Based on Surface Morphology by Chao Wang, Xiancheng Wang, Chengjun Guo

“…The predicted results are quantitatively evaluated, establishing evaluation metrics that reflect the errors and degree of fit between the model predictions and actual values from different perspectives. …”
Get full text

Evaluation of Spatial and Temporal Performance of Deep Learning Models for Travel Demand Forecasting: Application to Bike-Sharing Demand Forecasting by Jaehyung Lee, Jinhee Kim

“…This suggests that the best predictive performance of the model does not necessarily imply that it performs well in demand forecasting in all regions. …”
Get full text

Estimation of Mass Ratio of the Total Kernels within a Sample of In-Shell Peanuts Using RF Impedance Method by Chari V. Kandala, Jaya Sundaram

“…Cross-validation gave 96% and 100% predictability, and external validation gave 87% and 98% predictability within 1% and 2% difference, respectively.…”
Get full text

The Stability Evaluation of Shaft during Drastic Drawdown Dewatering of Alluvium by Mingze Du, Yanchun Xu, Heng Duan, Wen Li

“…The formation compressive amount near the auxiliary shaft is approximately 320 mm, which is close to the measured predicted value. At the same time, the Fisher discriminant model is established, and it is predicted that the state of the main and auxiliary shafts will be failure under the conditions of drastic drawdown dewatering in the Zhuxianzhuang Coal Mine. …”
Get full text

Investigation into forces on offshore piles with constant and linearly varying diameters using CFD and extended Morison equation under separate wave and current loadings by Kemal Bal, Deniz Bayraktar Bural

“…The classical Morison equation is evaluated alongside an extended version to address limitations in predicting forces on geometrically complex structures. …”
Get full text

Anxiety and Fear of Negative Evaluation as Predictors of Hypomanic Activity Among Freshly Admitted University Students in Lagos Nigeria. by Bushura, Afolabi Aroyewun, Baba, Ahmed Karatu, Graziella Onyegesi

“…This study examines whether anxiety and fear of negative evaluation predict hypomanic activity among new entrants to the University. …”
Get full text

ASTEC–MAAP Comparison of a 2 Inch Cold Leg LOCA until RPV Failure by J. C. de la Rosa Blul, S. Brumm, F. Mascari, S. J. Lee, L. Carenini

“…The progression of the accident predicted by the two codes up to the time of vessel failure is compared. …”
Get full text